Reporting analyst jobs in Jollyville, TX

The mission of Global Operations (GO) at Meta is to build and run world-class processes at a global scale that minimize harm to people and society, and maximize the success and well-being of Meta's ecosystem of people, communities, businesses, and partners.On the Global Operations Quality team, we measure how effectively Meta is creating safe and open environments for our users and positive experiences for businesses across our family of apps. We use that information to drive continuous improvement across our organization.We are looking for Data Analyst(s) to play a critical role in supporting the operational efficiency and strategic decision-making of our global teams. Your work will enable the organization to optimize processes, improve performance, and drive business outcomes through data-driven insights. You will be relied upon as a thought partner by a variety of operational and technical teams to drive our business transformation agenda. **Required Skills:** Data Analyst Responsibilities: 1. Partner with operations teams, data science, data engineering, and product teams to understand business needs and define analytical approaches to solve complex problems 2. Design and execute data analyses to uncover insights that drive operational improvements and strategy decisions, under your own initiative 3. Create dashboards, automated reports, and self-service tools using BI platforms (e.g. Tableau) which deepen our understanding of the business and enable efficiencies for our operations teams 4. Build and maintain data pipelines and associated documentation 5. Communicate results of analyses to technical and non-technical stakeholders in a way that influences business outcomes (e.g. roadmap decisions, opportunity areas etc) **Minimum Qualifications:** Minimum Qualifications: 6. Minimum 5+ years professional experience working in an Operations, Analytics, Product, Engineering or equivalent team, preferably in a technology company, consulting firm, or similar fast-paced environment 7. B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Operations Research, Business Analytics, Data Science or equivalent training 8. Advanced proficiency in querying and manipulating complex raw datasets for analysis using SQL 9. Extensive professional experience with data visualization tools (e.g., Tableau - designing, building, productionising dashboards) 10. Professional experience building and deploying data pipelines 11. Familiarity with statistical analysis and concepts 12. Demonstrated experience of managing analytics projects end to end from concept design through to business adoption, autonomously 13. Business acumen is a must. You will be required to partner with business stakeholders to proactively define analytics strategy, drive execution, and communicate data insights clearly 14. Demonstrated experience working collaboratively, cross functionally, autonomously, and in a fluid business environment **Preferred Qualifications:** Preferred Qualifications: 15. Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics, Analytics) 16. Experience leveraging AI to drive operational efficiencies 17. Familiarity with data science and machine learning concepts and an understanding of how to apply these methods to solve real-world business problems **Public Compensation:** $124,000/year to $176,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

This position plays a lead role in maintaining data integrity, enhancing reporting systems, and ensuring alignment with TWC policies, local board requirements, and agency standards. The Lead Data Analyst is instrumental in identifying trends, validating key performance metrics, and informing strategic planning efforts through actionable insights. A commitment to equity, empathy, and user-centered design is essential, as the Analyst helps ensure that data tools and reporting processes are accessible, meaningful, and reflective of the agency's mission to support families on their path to self-sufficiency. Expected Positive Outcomes: The Lead Data Analyst will contribute to improved data accuracy and integrity by establishing consistent, high-quality data practices that support reliable reporting, compliance, and data-driven decision-making. This role plays a key part in translating complex data into actionable insights that inform strategic planning and drive continuous program improvement. By developing performance monitoring tools and dashboards, the Analyst enables staff and leadership to track outcomes, identify trends, and measure program impact in real time. The position also supports innovation in reporting systems, introducing streamlined, user-friendly solutions that improve workflow efficiency and access to information. Ultimately, the Lead Data Analyst helps enhance client and program outcomes by identifying service gaps and supporting strategies that optimize program delivery. Essential Functions Data Collection and Analysis: Lead the process of collecting, cleaning, and analyzing program data to ensure its accuracy and integrity. Develop and implement strategies to gather data from various sources efficiently. Reporting: Complete all required reporting, including creating and presenting regular reports on key program metrics and outcomes to stakeholders, including the Family Services Manager. Data Management and Monitoring: Monitor data management practices to ensure efficient business reporting. This includes maintaining data systems, ensuring data quality, and implementing best practices for data storage and retrieval. Process Improvement: Identify trends and patterns within the data to recommend and implement process improvements that enhance program performance and efficiency. Documentation and Metrics: Maintain accurate and up-to-date documentation of data processes and reporting procedures. Manage program metrics and related analytical tools, ensuring their reliability and accessibility. Stakeholder Support: Provide direct analytical and reporting support to the Family Services Manager, helping to inform strategic decisions and optimize program delivery. Communication: Regularly report on the results of data analysis, providing clear and concise summaries to help the team understand performance, challenges, and opportunities. Data Governance and Compliance: Ensure all data collection, storage, and reporting practices align with relevant privacy regulations, data security standards, and agency policies. Training and Capacity Building: Develop and deliver training for staff on data tools, dashboards, and data literacy to build internal capacity for using data effectively. Tool Development: Design, test, and implement data collection tools, templates, and dashboards that support front-line staff and leadership with real-time insights. Cross-Team Collaboration: Partner with other departments to coordinate data-sharing efforts and align data strategies across programs and systems. Evaluation and Impact Analysis: Support program evaluation efforts by analyzing outcomes, measuring impact, and identifying areas for growth or adjustment.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. We are looking for a Data Analyst to join our Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team develop a framework, metrics, business reports, and strategic analysis around how we communicate Performance to our clients (the agent and broker community). The Data Science and Analytics organization at Realtor.com sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description: We are looking for the best data and analytical minds to help us measure the effectiveness of our products that aim to make it simple and easy to buy and sell a home. To accomplish that task, we are looking for a Data Analyst with a consumer services, business, or technology background. The team you are joining acts as a “trusted” partner to our key product stakeholders helping them answer their most critical business questions. This could be accomplished by conducting strategic deep insight analysis, A/B experimentation design and measurement, or creating new innovative ways to measure the success of the business. This is a job for someone who not only possesses strong technical skills, but also the ability to take data and mold it into a cohesive story that enables our stakeholders to make informed business decisions. Ideal candidates will be comfortable presenting their findings to stakeholders. This role will be supporting a new area of focus for the company in Fiscal Year 2026. As an organization, we sit on a wealth of data and this person will be at the forefront of helping the business harness the power of this data. The mission of the Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the “why” around data movements - not just the “what” Responsibilities: Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success. Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations. Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities. Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms. Build trust in all interactions and with Enterprise Consumer Data Mart and be an advocate for adoption Be responsible for monitoring the success of visitors' engagement and conversion by tracking metrics and building new estimated KPIs if necessary (e.g., product usage metrics) Build relationships with other products and analytics teams to share best practices and enrich analytic practices Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries Requirements: Bachelor's Degree in Business Analytics, Math, Economics 2-5+ years of work experience analyzing data to answer business questions Advanced knowledge in SQL Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc. Experience using data to analyze product feature performance is preferred Advanced knowledge in Python or R is a plus Experience with digital analytics platforms like Adobe Analytics and Google Analytics is preferred Experience in a consumer subscription business is also relevant Experience with cloud-based data environments such as AWS and Snowflake Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.) Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences Ability to thrive in a largely remote organization Comfort working in a highly agile, intensely iterative environment Self-motivated and self-managing, with strong time management and organizational skills How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com , you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

We have an opportunity as a Data Analyst with our client in Sunnyvale, CA or Austin, TX for a Hybrid role. Job details: Role: Data Analyst Duration: 12 Months Type: W2 Preferred, Open for C2C. Job Description: • A minimum of 5 years of recent, practical experience working with Tableau for data visualization, SQL for data querying, and Python for data manipulation or analysis. This experience should be consistent and on a regular, weekly basis. • Excellent communication is essential • Requires working knowledge of probability theory and statistical analysis. This role will: • Use Tableau to create visualizations to be used in interactive dashboards and presentations. • Use SQL to manipulate and prepare data • Use Python to manipulate and prepare data; create visualizations; analyze data. • Require a working knowledge of formal statistical analysis and causal modeling. • Require excellent communication skills RequirementsRequired Skills and Experience Skill Set Niche Skill Experience Preference Tableau No 5-10 years Is Required SQL No 5-10 years Is Required Python No 5-10 years Is Required Statistical Analysis No 5-10 years Is Required Verbal Communication No 5-10 years Is Required Written Communication No 5-10 years Is Required Attention to Detail No 5-10 years Is Required

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry. Job Description & Responsibilities: Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models Conduct statistical analysis to determine trends and significant data relationships Keep up to date with latest Machine Learning and Artificial Intelligence advancements Work with data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark Present results of analyses, including design of graphs, charts, tables, and other data visualizations Qualifications: Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure. Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools. Experience writing code in Python, R, Scala, and distributed computing technologies like Spark. Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects. Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

Integra is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences Qualifications: Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred 2+ years of relevant full-time experience. Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Description Job Description: We are seeking an experienced Data Analyst to support enterprise data initiatives in Austin, TX. This role focuses on analyzing business requirements, documenting data flows, and identifying opportunities for process and system improvements. The analyst will translate complex business needs into clear, actionable requirements, including Epics, User Stories, and acceptance criteria, to support development and QA teams.The successful candidate will collaborate with stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities. Strong analytical, documentation, and communication skills are essential. Responsibilities: Analyze business objectives, requirements, and current processes to identify gaps and opportunities for improvement. Conduct cost/benefit analysis of proposed solutions and evaluate system feasibility. Document business requirements, data flows, and process improvements. Write Epics and User Stories with acceptance criteria to clearly communicate requirements. Collaborate with business and technical teams to align functionality with business needs. Facilitate workshops, interviews, and meetings to gather and validate requirements. Develop and maintain data-related documentation, including data dictionaries, data mapping, and BRDs. Design and present visual models, dashboards, and performance reports to communicate insights. Lead data-focused meetings and resolve data-related issues. Required Skills: 10+ years as a Business/Data Analyst in IT with strong analytical and documentation skills. 10+ years collaborating with cross-functional teams to solve complex data-driven problems. 10+ years of experience designing and optimizing data workflows and management processes. 10+ years of experience writing Epics, User Stories, and acceptance criteria. 8+ years of experience developing and maintaining data dictionaries, BRDs, and data mapping. 8+ years of experience creating and presenting visual models, dashboards, and reports. 8+ years leading data-focused workshops and stakeholder interviews. Preferred Skills: Bachelor's degree in Data Science, Computer Science, Business Analytics, or related field (or equivalent experience). 4+ years managing multiple data projects concurrently. 3+ years working knowledge of eligibility rules for SNAP, Medicaid, and TANF programs. 3+ years experience interpreting and applying policy in integrated eligibility case management systems. What We Offer: Competitive pay 401K and PTO Medical and Dental benefits W2 employment Opportunities to contribute to impactful public sector technology projects Supportive and collaborative workplace with mentoring opportunities PLEASE SUBMIT YOUR RESUME IN WORD FORMAT

We are seeking a creative and experienced Data Analyst III-IV to join the Department of Analytics and Evaluation (A&E) in TWC's Information Innovation & Insight (I|3) division. The Data Analyst will learn quickly, value public service, and pursue analytical work to unlock the power of data to improve TWC's services for Texas employers, individuals, families, and communities. Our office is located at 101 E 15th St, Austin, Texas. The Data Analyst will work with the Education, Career, and Training Services (ECATS) team, which has eight members. The team specializes in TWC's Adult Education & Literacy (AEL) and Career & Training (C&T) data. The Adult Education and Literacy (AEL) program builds foundational skills in adult learners. This includes parents and caregivers, with a family-literacy strand that helps them understand child development and become full partners in their children's learning. Beyond its primary focus on adult learners, AEL also prepares adult-education instructors to engage effectively with vulnerable families, and, through partnerships with local early-childhood providers, helps connect children from underserved backgrounds to high-quality early education and care. The Department of Labor's (DOL) Career and Training Programs (C&T) are aimed at improving the employment prospects of adults, youth, and dislocated workers. DOL's C&T Programs also include initiatives such as Supplemental Nutrition Assistance Program Employment and Training (SNAP E&T), the Noncustodial Parent Choices Program (NCP), and various veterans' services. Members of the AELCT team operate collaboratively in an environment that encourages cross-training and peer mentorship. Staff are mostly self-directed and produce high-quality research and evaluation work as well as proactively creating and applying complex statistical models to solve system problems. The Data Analyst will work under limited supervision with broad latitude for the use of initiative, creativity, innovation, and independent judgment. In addition, the position offers access to a wealth of networking and professional development opportunities across I|3, TWC, and with national workforce system partners. Candidates must have excellent active listening skills and deliver criticism and feedback in constructive and sensitive ways. An advanced level of linguistic proficiency and communication is required to be considered for this position. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas WHAT YOU WILL DO: * DATA ANALYST III: Performs moderately complex (journey-level) data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data; providing results; and monitoring and implementing data quality. Works under general supervision, with limited latitude for the use of initiative and independent judgment. * DATA ANALYST IV: Performs complex (journey-level) data analysis and data research work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. Employees at this level may provide guidance to other data analysts and may identify data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data. YOU WILL BE TRUSTED TO: * Develop, implement, and optimize databases, data collection systems, statistical modeling, and data analytics techniques * Contribute to experimental or quasi-experimental studies to assess causal impact of AEL and workforce program interventions * Conduct multiple simultaneous tasks and prepare ad hoc analyses and reports on short timeframes * Formulate and deploy methods for mitigating and correcting data entry, integrity, and collection issues * Present, interpret, and meaningfully contextualize data for technical and nontechnical audiences * Communicate and collaborate effectively with AEL, workforce, and other program staff, subject matter experts, and others * Develop and follow data governance, peer review, and quality assurance policies and protocols * Demonstrate proficiency in computer programming and data analytic software use * Perform other work duties as assigned and required to cultivate the agency's programs; and * Commit to continuous professional development to cultivate technical skills and program knowledge. * Perform related work as assigned. YOU QUALIFY WITH: * Data Analyst III: Two years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. * Data Analyst IV: Three years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. * Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: * Data Analyst III - will have knowledge of SQL, Python and/or R, training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, including measures of central tendency/dispersion; probability distributions; sampling distributions; confidence intervals; hypothesis testing; simple linear regression; and correlation analysis. Will also have training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; hierarchical models; and interactive data visualization. * Data Analyst IV - will have Knowledge of SQL, Python and/or R, plus training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, and mixed methods qualitative and quantitative program evaluation. Will also have training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; and/or interactive data visualization. Plus, at least two years of experience in data analysis, research, compilation, and/or reporting work in a public administration/healthcare context, for example, in the AEL or another workforce program. YOU GAIN: * A Family Friendly Certified Workplace. * Competitive starting salary: $5,500.00 - $6,250.00 /month * Defined Retirement Benefit Plan * Optional 401(k) and 457 accounts * Medical Insurance * Paid time off, including time for vacation, sick and family care leave * Additional benefits for active employees can be found at *********************************************************** VETERANS: Use your military skills to qualify for this position or other jobs! Go to ************************* to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: ********************************************************************************************** HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at ******************* or on Taleo (Job Search). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042.

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. Data Analyst, Client Product Analytics At Realtor.com , we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone. The Data Science and Analytics organization at Realtor.com sits at the heart of this mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description: We are looking for the best data and analytical minds to help us measure the effectiveness of our products that aim to make it simple and easy to buy and sell a home. To accomplish that task, we are looking for a Data Analyst with a consumer services, business, or technology background to join our expanding Product Analytics team within the Enterprise Data Science and Analytics organization. The team you are joining acts as a "trusted" partner to our key product stakeholders helping them answer their most critical business questions. This could be accomplished by conducting strategic deep insight analysis, A/B experimentation design and measurement, or creating new innovative ways to measure the success of the business. This is a job for someone who not only possesses strong technical skills, but also the ability to take data and mold it into a cohesive story that enables our stakeholders to make informed business decisions. Ideal candidates will be comfortable presenting their findings to stakeholders. We are looking for a Data Analyst to join our Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team evaluate the launch of new features aimed at accelerating the growth of our ecommerce sales channel, the Online Store. This role will be focused on measuring the effectiveness of the Online Store (think funnel performance) combined with helping the product team test and learn into new features and enhancements. The mission of the Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the "why" around data movements - not just the "what" Responsibilities: * Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success. * Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations. * Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities. * Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms. * Build trust in all interactions and with Enterprise Consumer Data Mart and be an advocate for adoption * Be responsible for monitoring the success of visitors' engagement and conversion by tracking metrics and building new estimated KPIs if necessary (e.g., product usage metrics) * Build relationships with other products and analytics teams to share best practices and enrich analytic practices * Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics * Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries Requirements: * Bachelor's Degree in Business Analytics, Math, Economics * 2-5+ years of work experience analyzing data to answer business questions * Experience using data to analyze product feature performance is preferred * Experience in a consumer subscription business also relevant * Advanced knowledge in SQL and knowledge in Python or R a plus * Experience with digital analytics platforms like Adobe Analytics and Google Analytics is preferred * Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc. * Experience with cloud-based data environments such as AWS and Snowflake * Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics * Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.) * Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified * Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights * Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences * Ability to thrive in a largely remote organization * Comfort working in a highly agile, intensely iterative environment * Self-motivated and self-managing, with strong time management and organizational skills Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Business Data Analyst Clearance Requirements: NA Contract A public sector client of ours in Austin, Texas is looking for a Business Data Analyst for a 1-year contract that is likely to extend. This role will require up to 3 days onsite in their Austin office. The Business Data Analyst will be responsible for analyzing existing business requirements to understand current functionalities, data flows, and pain points. The analyst will then leverage this understanding to elicit and write comprehensive business requirements for new systems or enhancements. The role involves understanding business objectives and challenges, identifying alternative solutions, and performing cost/benefit analyses of proposed changes. The analyst will confer with organizational personnel to analyze current procedures, identify problems, and determine requirements such as data inputs, data summaries, and report formats. Duties include writing detailed user requirements, documenting program functions, and evaluating system capabilities to determine feasibility of changes within existing constraints. Key Responsibilities * Analyze existing business requirements, processes, and data flows to identify pain points and opportunities for improvement. * Translate complex business needs into clear, actionable requirements for technical and functional teams. * Write Epics and User Stories, including acceptance criteria, to communicate functional and non-functional requirements to development and QA teams. * Collaborate closely with business stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities. * Document current state processes and develop future state requirements, data workflows, and data models. * Design and present visual data models, dashboards, and reports to communicate trends, performance, and timelines. * Facilitate workshops, interviews, and meetings to gather information and drive resolution of data-related issues. * Prepare and maintain data-related documentation, including data dictionaries, requirement documents, and mapping specifications. Note: Candidates who do not meet the minimum requirements will not be considered for this opportunity. Required Experience: * 13 years of hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills. * 13 years of proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions. * 10 years of experience designing and optimizing data workflows and data management processes using modeling or mapping tools. * 10 years of experience writing Epics and User Stories, including acceptance criteria, to communicate requirements to development and quality assurance teams. * 8 years of experience creating and maintaining data-related documentation, including data dictionaries, business requirement documents, and data mapping specifications. * 8 years of experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines. * 8 years of demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues. Preferred Experience: * 4 years of experience with a Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field (equivalent experience may be substituted). * 4 years of experience with strong multitasking skills and the ability to manage multiple data projects or assignments concurrently. About Seneca Resources: Seneca Resources is a client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, Georgia, North Carolina and New York that service clients throughout the United States. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

Job Description Company: Lucayan Technology Solutions LLC Clearance: Secret (must be able to obtain and maintain) Employment Type: Full-time, on-site Lucayan seeks a detail-driven Data Analyst to support a U.S. Army program focused on readiness and resilience at Fort Cavazos. This non-personal services role collects, cleans, analyzes, and visualizes operational and personnel/readiness data to inform commanders and stakeholders. The analyst will produce recurring and ad-hoc reports and dashboards, ensure data quality and protection of sensitive information, and meet PWS deliverable standards and timelines. Key Responsibilities Data intake & quality control: Acquire data from Army systems and approved sources; validate, normalize, and document datasets; maintain data dictionaries and lineage. Analysis & visualization: Build repeatable queries, metrics, and dashboards (e.g., Power BI/Tableau/Excel) that track readiness trends, leading indicators, and unit performance. Reporting & deliverables: Produce weekly/monthly PWS-required reports, briefs, and trip/meeting notes; submit products in MS Office formats and maintain version control. Stakeholder support: Work with Government leads to refine requirements; translate findings into decision-ready products and brief results to leadership. Process improvement: Recommend methods to improve data quality, automation, and cycle time; develop/update SOPs for data management and reporting. Compliance & protection: Safeguard sensitive/FOUO/Privacy Act data; follow Army/DoD information security, records, and configuration-management procedures. Required Qualifications U.S. Citizenship and eligibility for a DoD Secret clearance. Bachelor's in Data Science, Statistics, Analytics, Information Systems, or related field (or equivalent experience). 2+ years hands-on experience with data wrangling, descriptive/diagnostic analytics, and dashboarding. Proficiency with SQL and one or more tools: Power BI, Tableau, Excel (Power Query/Pivot), or Python (pandas). Strong briefing and writing skills; ability to meet firm deadlines and quality thresholds defined in the PWS. Required Security Clearances & Trainings Clearance: Active Secret (or the ability to obtain/maintain Secret); CAC eligibility and successful background check for installation access. Mandatory trainings (within 30 days of start; annual refreshers): Cyber Awareness / Information Assurance OPSEC Level I Anti-Terrorism (AT) Level I iWATCH Army installation awareness Completion of any additional command-directed security or records-handling training relevant to Privacy Act/PII. Preferred Qualifications Experience supporting Army HQ, IMCOM, Corps, Division, or G-staff analytics. Familiarity with Army data environments (e.g., authoritative readiness/maintenance/manpower systems) and tasker workflows. Experience automating ETL pipelines; DAX/Power Query/M, Python, or R for repeatable products. Practical knowledge of Privacy Act, FOUO/CUI handling, and DoD records management. Work Environment On-site at Fort Cavazos during Government operating hours (typically Mon-Fri, 0800-1700), with occasional surge or after-hours support for deadlines, exercises, or inspections. Collaborative, mixed military/civilian/contractor team environment. Government-furnished workspace, network access (with CAC), and approved software; products delivered in MS Office formats per PWS. Why Lucayan? Be part of a team improving Army readiness and resilience. Competitive salary and professional development opportunities. Meaningful work supporting national defense and Soldier well-being. Apply today and help shape data-driven solutions for the U.S. Army. Powered by JazzHR xY4smI2jo0

DPR is seeking a Data Protection & Governance Analyst to strengthen our enterprise data governance and privacy program. This role partners with data owners to classify and protect data, define access policies, and ensure compliance with privacy and security standards. The analyst will play a key role in embedding privacy-by-design into business processes and applications, leading initiatives such as Data Protection Impact Assessments (DPIAs) and supporting audits of security controls. This is a hands-on position at the intersection of governance and security, ensuring that data classification, retention, and protection practices are fully aligned with DPR's enterprise data governance framework (catalog, glossary, lineage, stewardship). Key Responsibilities * Classify and govern data in partnership with data owners and data governance stakeholders. * Design and enforce access policies; perform access reviews and monitor exceptions. * Lead privacy programs and DPIAs, ensuring compliance with GDPR, CCPA, and other regulations. * Assess enterprise and third-party applications for access, integration, and data protection security. * Support internal and external audits by providing evidence of compliance and tracking remediation. * Act as a bridge between data governance and security teams, embedding stewardship and protection standards into daily operations. Skills & Competencies * Knowledge of data classification, retention, and access controls (RBAC, ABAC, IAM). * Familiarity with data governance frameworks and tools (DAMA-DMBOK, Atlan, Collibra, Microsoft Purview). * Understanding of privacy regulations (GDPR, CCPA) and frameworks (NIST, ISO 27001, SOC 2). * Experience with application/SaaS security models, APIs, and integration security. * Strong analytical, documentation, and communication skills; able to translate compliance into business-friendly practices. * Collaborative, detail-oriented, and proactive, with a focus on continuous improvement. Qualifications * Bachelor's degree in information security, Data Management, or related field. * 3-5 years of experience in data protection, governance, compliance, or IT security. * Hands-on experience supporting data classification, access management, and/or privacy programs. * Preferred certifications: CIPT, CIPP, CDPSE, Security+. Why Join DPR? At DPR, you'll play a critical role in safeguarding enterprise data and ensuring trust across our business. You'll have the opportunity to work at the nexus of data governance, privacy, and security, contributing directly to innovation, compliance, and business growth. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Data Analyst (Austin) - (826320) Description We are seeking a creative and experienced Data Analyst III-IV to join the Department of Analytics and Evaluation (A&E) in TWC's Information Innovation & Insight (I|3) division. The Data Analyst will learn quickly, value public service, and pursue analytical work to unlock the power of data to improve TWC's services for Texas employers, individuals, families, and communities. Our office is located at 101 E 15th St, Austin, Texas. The Data Analyst will work with the Education, Career, and Training Services (ECATS) team, which has eight members. The team specializes in TWC's Adult Education & Literacy (AEL) and Career & Training (C&T) data. The Adult Education and Literacy (AEL) program builds foundational skills in adult learners. This includes parents and caregivers, with a family-literacy strand that helps them understand child development and become full partners in their children's learning. Beyond its primary focus on adult learners, AEL also prepares adult-education instructors to engage effectively with vulnerable families, and, through partnerships with local early-childhood providers, helps connect children from underserved backgrounds to high-quality early education and care. The Department of Labor's (DOL) Career and Training Programs (C&T) are aimed at improving the employment prospects of adults, youth, and dislocated workers. DOL's C&T Programs also include initiatives such as Supplemental Nutrition Assistance Program Employment and Training (SNAP E&T), the Noncustodial Parent Choices Program (NCP), and various veterans' services. Members of the AELCT team operate collaboratively in an environment that encourages cross-training and peer mentorship. Staff are mostly self-directed and produce high-quality research and evaluation work as well as proactively creating and applying complex statistical models to solve system problems. The Data Analyst will work under limited supervision with broad latitude for the use of initiative, creativity, innovation, and independent judgment. In addition, the position offers access to a wealth of networking and professional development opportunities across I|3, TWC, and with national workforce system partners. Candidates must have excellent active listening skills and deliver criticism and feedback in constructive and sensitive ways. An advanced level of linguistic proficiency and communication is required to be considered for this position. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas WHAT YOU WILL DO: -DATA ANALYST III: Performs moderately complex (journey-level) data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data; providing results; and monitoring and implementing data quality. Works under general supervision, with limited latitude for the use of initiative and independent judgment. -DATA ANALYST IV: Performs complex (journey-level) data analysis and data research work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. Employees at this level may provide guidance to other data analysts and may identify data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data. YOU WILL BE TRUSTED TO:-Develop, implement, and optimize databases, data collection systems, statistical modeling, and data analytics techniques-Contribute to experimental or quasi-experimental studies to assess causal impact of AEL and workforce program interventions-Conduct multiple simultaneous tasks and prepare ad hoc analyses and reports on short timeframes-Formulate and deploy methods for mitigating and correcting data entry, integrity, and collection issues-Present, interpret, and meaningfully contextualize data for technical and nontechnical audiences-Communicate and collaborate effectively with AEL, workforce, and other program staff, subject matter experts, and others-Develop and follow data governance, peer review, and quality assurance policies and protocols-Demonstrate proficiency in computer programming and data analytic software use-Perform other work duties as assigned and required to cultivate the agency's programs; and-Commit to continuous professional development to cultivate technical skills and program knowledge. -Perform related work as assigned. YOU QUALIFY WITH: -Data Analyst III: Two years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Data Analyst IV: Three years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With:-Data Analyst III - will have knowledge of SQL, Python and/or R, training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, including measures of central tendency/dispersion; probability distributions; sampling distributions; confidence intervals; hypothesis testing; simple linear regression; and correlation analysis. Will also have training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; hierarchical models; and interactive data visualization. -Data Analyst IV - will have Knowledge of SQL, Python and/or R, plus training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, and mixed methods qualitative and quantitative program evaluation. Will also have training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; and/or interactive data visualization. Plus, at least two years of experience in data analysis, research, compilation, and/or reporting work in a public administration/healthcare context, for example, in the AEL or another workforce program. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $5,500. 00 - $6,250. 00 /month- Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at ************ ers. texas. gov/Active-Employees/Health-Benefits. VETERANS:Use your military skills to qualify for this position or other jobs! Go to www. texasskillstowork. com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: *********** sao. texas. gov/Compensation/MilitaryCrosswalk/MOSC_PlanningResearchandStatistics. pdf HOW TO APPLY:To be considered, please complete a State of Texas Application for Employment and apply online at www. workintexas. com or on Taleo (Job Search). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301. 042. Primary Location: United States-Texas-AustinWork Locations: Austin:101 E 15th St (320-4001) 101 E 15th St Austin 78778-0001Job: Data ScientistsOrganization: TEXAS WORKFORCE COMMISSIONSchedule: Full-time Employee Status: RegularJob Type: StandardJob Level: Non-ManagementTravel: Yes, 10 % of the TimeJob Posting: Sep 27, 2025, 5:00:00 AMWork From Home: No

Level Description 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected. Job Description Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system. Additional job details and special considerations The Business Data Analyst will primarily focus on analyzing existing business requirements to understand current functionalities, data flows, and pain points. The role will then leverage this understanding to elicit and write comprehensive business requirements for new systems or enhancements. A key responsibility will be translating complex business needs into clear, actionable requirements. The role must be well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams. The role will collaborate closely with business stakeholders, product owners, and technical teams to ensure alignment between business objectives and system capabilities. The ideal candidate will possess strong data analysis skills, an ability to document current state processes, and a proactive approach to identifying opportunities for process and system improvements. Excellent communication and interpersonal skills are essential for facilitating workshops, gathering information, and presenting findings to diverse audiences. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Hands-on experience as a business data analyst in the Information Technology industry, demonstrating strong analytical and documentation skills. 8 Required Proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions. 8 Required Experience designing and optimizing data workflows and data management processes using modeling or mapping tools. 8 Required Well-versed in writing Epics and User Stories, including acceptance criteria, to effectively communicate functional and non-functional requirements to development and quality assurance teams 8 Required Experience creating and maintaining data-related documentation including data dictionaries, business requirement documents, and data mapping specifications. 8 Required Experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines. 8 Required Demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues. 4 Preferred Bachelor's degree in data science, Computer Science, Information Systems, Business Analytics, or a related field. Equivalent experience may be substituted. 4 Preferred Strong multi-tasking skills with the ability to manage multiple data projects or assignments concurrently. 3 Preferred Working knowledge of eligibility rules for SNAP, Medicaid, and TANF programs, with experience interpreting and applying state and federal guidelines. 3 Preferred Proven experience interpreting and applying policy within an integrated eligibility case management system.

Job Title Admissions Operations Analyst Agency Texas A&M International University Department Admissions Proposed Minimum Salary $19.06 hourly Job Type Staff Job Description The Admissions Operations Analyst, under direction, assists in the coordination of quality assurance support and provides support to specialized activities or projects. Works to resolve errors in applications and student records. Coordinates the preparation of admissions-related documents for intradepartmental and external routing. Essential Duties and Responsibilities * Maintains a high level of knowledge of the admissions processing workflow and the application process. * Supervises and trains others on the system and works closely with administration with regards to system changes, upgrades, and new equipment specifications. * Coordinates activities and assigns daily work. * Views and resolves errors for daily admissions feeds submitted electronically. * Monitors and resolves suspense reports for electronic transcripts and recruitment records loaded into system. * Serves as quality assurance specialist over applications for processing. * Demonstrates creative problem-solving skills and continuous efforts to improve operations and streamline work processes. * Creates Universal Identification Numbers (UIN) for prospective students and resolves any duplicates created in the system. * Maintains a log of errors, resolving them on a scheduled basis using additional staff to assist. * Hires and supervises others to include evaluation of performance and approval of timesheet and leave documents. * May supervise student workers and temporary personnel. This document represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. Other duties may be assigned. Additional Responsibilities * Maintains the ApplyTexas system (deadlines, majors, and custom questions) * Transfers ApplyTexas data from the SPEEDE server to upload into the Banner Student Information System * Transfers data from College Board and Encoura to upload SAT and ACT scores into the Banner Student Information System. * Monitors the SPEEDE server, Parchment, National Student Clearinghouse, Scribbles, Greenlight, and additional platforms for College and High School transcript processing by DigiScript. * Assists the Director and Associate Director with maintaining the Program for System Admissions uploading process into the Banner Student Information System and Laserfiche, the current student record management system. * Assist the Director and Associate Director with maintaining the DigiScript portal, ensuring accountability of received and processed documents. * Runs reports to maintain uploaded data accuracy. * Support the Admissions Office in daily operations. Minimum Requirements * Education - Bachelor's degree in applicable field. * Experience - Two years of related experience in higher education and/or admissions. Preferred Education and Experience * Two or more years of experience in Admissions, Recruitment, Student Services, or other related area. * Experience using Banner Student Information System, Laserfiche, or similar platforms or proprietary systems. * Data management experience in higher education. Knowledge and Abilities Knowledge of: * Word processing, spreadsheet, and database applications. * Higher education admissions processes. Ability to: * Multitask and work cooperatively with others. * Strong written and verbal communication skills. * Present information clearly and concisely. Preferred Knowledge and Abilities * Word processing, spreadsheet, database and OCR applications * Familiarized with SPEEDE server. License/Professional Certification - None. Physical Requirements - General Office Environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Supervision of others This position does not supervise employees. Other Requirements: * Position may require evening and/or weekend hours. * Position requires on campus, face-to-face interactions. * Position requires maintaining a regular schedule of attendance on campus and in the workplace. Salary: $19.06/hourly INSTRUCTIONS TO APPLICANT: During the application process you have only one opportunity to enter the requested information, upload documents and Submit the application. You will not be able to make changes or add additional documents once you "Submit" the application materials. The software does not allow you to "Save" your application and return to complete the process at a later time. The page "My Experience" has an area provided under Resume/CV to drop or upload files. Be sure to include: * Resume * Cover Letter * 3 professional references and their full contact information * Unofficial transcripts Applications received by Texas A&M International University must have all job application data entered. Failure to provide all job application data could result in an invalid submission and a rejected application. "See resume" is not an acceptable entry in the job application. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.

This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to People data. The successful candidate will govern the ecosystem of People data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics. Qualifications: BA/BS in Engineering, Industrial Psychology, Data Science, or related field with 5+ years (or MBA/MA/MS with 4+ years or PhD and 3+ years) experience in fields such as analytics, management consulting, sales operations, finance or HR 5+ years of Advanced SQL, PL/SQL , Relational Database and data modelling 5+ Years of Data Architecture and data modelling skills set. Implemented / working knowledge of Kimball STAR Schema / Vault modelling techniques 3+ years of Visualization, Business Intelligence tools such as Tableau/Looker/Power BI 5+ years of QA / Testing and Data Analysis skills set. Experience to drive what if scenarios and advanced analytical skill set 5+ Years of Data Governance implementation experience 4+ years of Data Stewardship experience, implementing data quality rules and metadata management Masters or PhD in Information systems, Computer Science, Engineering, Data Science or equivalent degree 7+ years of experience in Data Governance and Data Management workstreams Knowledge of Semantic layer creation for BI tools 3+ years of Python coding experience - building data pipelines 8+ years of Advanced SQL and developing last-mile delivery data architecture Responsibilities: Data Architecture Design: Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy Metrics Aggregation and Computation Layer: Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization Subject Matter Expertise: Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements Business Partnership: Act as a bridge between the Business, People Analytics, and Engineering teams, empowering efficient decision-making by facilitating collaboration, communication, and data-driven insights Ontology and Artificial Intelligence-Consumable Data Architecture: Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications Data Governance Framework: Develop a comprehensive Data Governance framework and artifacts that provide a 360-degree view of a metric, supporting data literacy and catalog development. This includes creating data governance policies, procedures, standards, and guidelines that ensure data quality, security, and compliance Data Governance implementation : Drive certification of metrics definitions and drive risk management ways of working in People Analytics. Drive Data Quality framework and implement Data Quality rules that is reactive and proactive. Validate data lineage and modernize data governance across People Analytics

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. We are looking for a Data Analyst to join our Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team develop a framework, metrics, business reports, and strategic analysis around how we communicate Performance to our clients (the agent and broker community). The Data Science and Analytics organization at Realtor.com sits at the heart of our mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs. Role Description: We are looking for the best data and analytical minds to help us measure the effectiveness of our products that aim to make it simple and easy to buy and sell a home. To accomplish that task, we are looking for a Data Analyst with a consumer services, business, or technology background. The team you are joining acts as a "trusted" partner to our key product stakeholders helping them answer their most critical business questions. This could be accomplished by conducting strategic deep insight analysis, A/B experimentation design and measurement, or creating new innovative ways to measure the success of the business. This is a job for someone who not only possesses strong technical skills, but also the ability to take data and mold it into a cohesive story that enables our stakeholders to make informed business decisions. Ideal candidates will be comfortable presenting their findings to stakeholders. This role will be supporting a new area of focus for the company in Fiscal Year 2026. As an organization, we sit on a wealth of data and this person will be at the forefront of helping the business harness the power of this data. The mission of the Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the "why" around data movements - not just the "what" Responsibilities: * Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success. * Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations. * Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities. * Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms. * Build trust in all interactions and with Enterprise Consumer Data Mart and be an advocate for adoption * Be responsible for monitoring the success of visitors' engagement and conversion by tracking metrics and building new estimated KPIs if necessary (e.g., product usage metrics) * Build relationships with other products and analytics teams to share best practices and enrich analytic practices * Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics * Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries Requirements: * Bachelor's Degree in Business Analytics, Math, Economics * 2-5+ years of work experience analyzing data to answer business questions * Advanced knowledge in SQL * Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc. * Experience using data to analyze product feature performance is preferred * Advanced knowledge in Python or R is a plus * Experience with digital analytics platforms like Adobe Analytics and Google Analytics is preferred * Experience in a consumer subscription business is also relevant * Experience with cloud-based data environments such as AWS and Snowflake * Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics * Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.) * Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified * Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights * Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences * Ability to thrive in a largely remote organization * Comfort working in a highly agile, intensely iterative environment * Self-motivated and self-managing, with strong time management and organizational skills How We Work: We balance creativity and innovation on a foundation of in-person collaboration. Our employees work three days in our Austin headquarters where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. How We Reward You: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: * Inclusive and Competitive medical, Rx, dental, and vision coverage * Family forming benefits * 13 Paid Holidays * Flexible Time Off * 8 hours of paid Volunteer Time off * Immediate eligibility into Company 401(k) plan with 3.5% company match * Tuition Reimbursement program for degreed and non-degreed programs * 1:1 personalized Financial Planning Sessions * Student Debt Retirement Savings Match program * Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. People are our foundation-the core that drives us passionately forward. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

Key Responsibilities * Understand business objectives and problems, identify alternative solutions, and evaluate through cost/benefit analysis. * Analyze user requirements, procedures, and problems to automate processes or improve existing systems. * Confer with personnel to gather input and output requirements, such as data inputs, data summaries, and reporting formats. * Write detailed documentation of user needs, program functions, and steps required for development or modification. * Translate complex business needs into actionable requirements, including Epics and User Stories with acceptance criteria. * Collaborate closely with business stakeholders, product owners, and technical teams to align system capabilities with business objectives. * Create and maintain documentation, including business requirement documents, data dictionaries, and mapping specifications. * Facilitate workshops, interviews, and meetings to gather requirements and resolve data-related issues. * Develop and present data models, dashboards, and workflows to communicate project timelines, performance, and trends. Note: Candidates who do not meet the minimum requirements will not be considered for this opportunity. Required Experience: * 13 years of hands-on experience as a business data analyst in the Information Technology industry, with strong analytical and documentation skills. * 13 years of proven ability to collaborate with technical and non-technical teams to analyze complex data-driven business problems and recommend actionable solutions. * 10 years of experience designing and optimizing data workflows and data management processes using modeling or mapping tools. * 10 years of experience writing Epics and User Stories, including acceptance criteria, to communicate functional and non-functional requirements to development and quality assurance teams. * 8 years of experience creating and maintaining data-related documentation, including data dictionaries, business requirement documents, and data mapping specifications. * 8 years of experience designing and presenting visual data models and dashboards to communicate trends, performance, and project timelines. * 8 years of demonstrated ability to lead data-focused meetings and interviews, document outcomes, and drive resolution of data-related issues. Preferred Experience: * 4 years of experience with a Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field (equivalent experience may be substituted). * 4 years of experience with strong multitasking skills and the ability to manage multiple data projects or assignments concurrently. About Seneca Resources: Seneca Resources is a client driven provider of strategic Information Technology consulting services and Workforce Solutions to government and industry. Seneca Resources is a leading IT services provider with offices in Virginia, Alabama, Georgia, North Carolina and New York that service clients throughout the United States. We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.

DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of our company-wide dashboards. This role will primarily focus on aggregating and summarizing key metrics from across the organization, with a special emphasis on dashboards that support our Enterprise Goals & Objectives and other strategic initiatives. This role will partner with our data analytics and engineering team members to identify the key metrics we want to move into our company-wide dashboards and assist in building the framework and consumption layers for ensuring our company-wide dashboards are aligned with more detailed workgroup specific dashboards. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Develop and maintain relationships with business stakeholders across all functional groups of DPR. * Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. * Create, maintain and communicate detailed schedules for this wide-ranging KPI development. * Coordinate technical teams performing development of KPIs and communicate progress to business teams. * Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tool, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Focus Group meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience. * Proven track record of managing large-scale analytics projects spanning multiple functional groups. * Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development. * Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create semantic data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************