Data Scientist Jobs in Schaumburg, IL

Contrast is building the future of healthcare - where artificial intelligence, automation technology, and electronic healthcare records converge to revolutionize patient care, streamline processes, and create a lasting impact on the well-being of society. Our team believes the following qualities, combined with a relentless drive, will propel us towards our goal of building industry-changing solutions. If this resonates with you, we're eager to meet. Passion for Healthcare A deep-seated commitment to revolutionizing healthcare through technology, and an understanding of the unique challenges and nuances of the industry. Technical Excellence While specific skills vary by role, a foundational understanding of technology's potential in healthcare is crucial. We seek those who are eager to expand upon this knowledge. Resilience & Adaptability The startup journey is filled with highs and lows. We seek individuals who can navigate these fluctuations, adapt quickly, and remain undeterred by setbacks. The belief that the best results arise from team efforts. Candidates should possess the ability to communicate effectively and work with diverse groups. Ethical Integrity Upholding the highest standards of ethical behavior and understanding the profound responsibility we have in the healthcare sector. About the role Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team. As part of Contrast AI, you will work on cutting-edge AI solutions, contributing to the development of intelligent systems that push the boundaries of machine learning and data-driven technologies. You will collaborate closely with our software engineers and data scientists to design, implement, and optimize AI models that address real-world challenges for our clients. What you'll do Design, develop, and deploy machine learning models for various AI-powered applications. Work with large datasets to build, train, and evaluate predictive models and algorithms. Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions. Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights. Optimize models for performance and scalability in production environments. Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models. Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency. Mentor junior team members and contribute to knowledge sharing across the team. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields. Strong background in machine learning algorithms, statistical modeling, and data analysis. Proficiency in Python, R, or a similar programming language for data manipulation and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Solid understanding of data structures, algorithms, and software development principles. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models. Familiarity with data visualization tools like Matplotlib, Seaborn, or similar. Excellent problem-solving skills, with a proactive and collaborative approach to work. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with deep learning, reinforcement learning, or natural language processing. Knowledge of big data technologies such as Hadoop or Spark. Prior experience working in an AI-driven company or startup environment. Compensation: The base compensation range for the role is: $130,000 - $150,000 based on leveling and desired cash/equity split. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Why Work at Contrast: 4 remote weeks per year - work from anywhere. Daily meals in our downtown Chicago office. Work with cutting-edge AI technology that improves the quality of life for healthcare providers and patient care. Dedicated time and budget for personal development, including access to world-class mentors and advisors. Collaborate with a world-class, diverse team that is deeply mission-aligned. Ownership over your success with the ability to significantly impact company growth. Our supporters include top-tier Silicon Valley venture firms, leading minds in AI, and healthcare industry leaders. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare. For more information about our company and culture, visit our website. The pay range for this role is: 130,000 - 150,000 USD per year (Chicago, IL) #J-18808-Ljbffr

Title: Data Scientist Salary: $85,000-110,000 + bonus Industry: Retail/Manufacturing For this opportunity we cannot provide sponsorship for H1B or work with any C2C contracting engagements. Here is an exciting opportunity to join a global manufacturing organization, who is growing out their Pricing Analytics division. The ideal candidate has an Advanced Analytics or Data Science background, who can leverage these techniques to drive pricing strategies, market competitiveness, to push the business forward. This position will have a be an individual contributor with a focus on pricing strategy, data analysis, and market research. Key Requirements: 1-3 years of experience in Advanced Analytics, Data Science, Pricing Analytics focused roles. Experience in a retail, ecommerce, or CPG business. Extensive experience working with Python, SQL, R, ideally used to develop pricing models, but experiences using these tools for supply chain, marketing, or operations use cases are also open to consideration. Experience bringing meaning ad insights from large, messy, and complex data sets. Key Responsibilities: Work within a small growing team as an individual contributor to carry out day to day analysis and long term project work. Develop data-driven pricing strategies that consider market conditions, competitive pricing landscape, and consumer purchasing behavior. Analyze very large data sets, build pricing & forecasting models. Work cross functionally across finance, marketing, and product divisions.

To create and refine real-time analytic models used to understand conversations and behaviors in order to target users with optimal messaging across different platforms and devices and to Participate in all project phases from concept, requirements, development, test and production support. Responsibilities: Complex Problem Solving - Ability to identify and solve problems by reviewing related information, evaluating options and implementing solutions Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems Deductive Reasoning - Ability to apply general rules to specific problems to produce answers that make sense Inductive Reasoning - Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events) Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to unstructured problems Strong Communication Skills - Ability to clearly and concisely communicate information and ideas orally and in writing Skills and Experience: Experience with SAS or R 3-5 years of experience working in a data analytics capacity Well versed in the application of analytic techniques and predictive modeling Practical ability to visualize data, communicate about the data, and utilize it effectively Innovative instincts and an entrepreneurial spirit

We are Lever - a marketing agency that stands at the intersection of experience and innovation. Lever is a place where the acumen of industry experts harmonizes with the latest advancements in advertising technology. Our focus? Spotlighting our clients, the true protagonists of our success narratives. Our team is a dynamic collective of individuals, united in their pursuit of excellence and innovation. We foster a culture of transparency and adaptability, building partnerships grounded in trust and mutual growth. At Lever, we are more than just an agency; we are a community of marketing professionals who are curious, driven, and committed to delivering results that surpass expectations. As a potential member of the Lever team, you would be joining an organization that values great work, strong integrity, and high morale. We are growth-oriented, constantly seeking avenues to not only enhance our clients' journeys, but also to nurture careers and foster lasting relationships. Join us at Lever, where we are reshaping the marketing landscape, one success story at a time. HOW WE DEFINE SUCCESS IN THIS ROLE: Success in this role is defined by your ability to analyze and visualize data, uncover trends, and tell compelling stories through data-driven insights. You will work extensively with Lever's reporting suites, which pull in data from digital marketing platforms such as GA4, Google Ads, Microsoft Ads, Meta Ads, and SEO analytics, as well as first-party, client data. Your primary responsibility will be to transform complex data into meaningful narratives that drive strategic decision-making and campaign optimizations. A successful Digital Marketing Data Analyst is passionate about data storytelling, with a keen eye for identifying trends and translating them into actionable recommendations. The ideal candidate is detail-oriented, curious about digital marketing analytics, and motivated to provide insightful, visually compelling reports that enhance marketing performance. WHAT YOU'LL DO: Own reporting and analytics for digital marketing campaigns, including paid media and SEO performance. Work within Lever's reporting suites, integrating and analyzing data from GA4, Google Ads, Microsoft Ads, Meta Ads, and other platforms. Identify patterns, anomalies, and opportunities in marketing data to support data-driven decision-making. Prepare detailed reports and dashboards that tell a compelling data story, providing insights and actionable recommendations. Use analytics tools like GA4, Looker Studio, and Datorama to track site traffic, engagement, and conversions, ensuring real-time performance tracking. Identify issues in campaign pacing, KPIs, and performance bottlenecks across paid media and SEO. Develop engaging data visualizations that effectively communicate insights to internal teams and clients. Collaborate with internal teams to interpret data trends and optimize marketing strategies. Conduct market research to stay current with digital marketing trends, audience behaviors, and emerging opportunities. Present findings in team meetings and to stakeholders, ensuring insights are understood and actionable. Assist with campaign builds, QA, and other tasks within the digital marketing suite, offering hands-on support for paid media efforts. Utilize Microsoft Excel for data integrity, cleanup, and in-depth analysis (e.g., using VLOOKUP and pivot tables). Integrate first-party client data for MQL (marketing qualified leads) into reporting and insights. Be well-versed in multi-platform marketing initiatives, contributing to strategy, execution, and continuous improvement. WHAT YOU'LL BRING: 1-3 years of online marketing, web analytics, or research experience. Passion for data visualization, trend analysis, and storytelling through analytics. Ability to turn complex data into clear, compelling insights that drive business decisions. Strong analytical mindset with an ability to interpret data and create meaningful narratives. Proficiency in Microsoft Office, including Excel, Word, and PowerPoint. Experience with pivot tables, data visualization tools, and performance-tracking dashboards. Understanding of advertising, social media, and key performance indicators. Excellent communication skills, both verbal and written, with an ability to present insights clearly. Intellectual curiosity and a desire for continuous learning and professional growth. Ability to work both independently and collaboratively in a fast-paced team environment. Knowledge of advertising platforms, SEO analytics, and campaign optimization techniques. Strong organization skills and a keen eye for data integrity. Coding skills in R/SQL/Python - an added advantage. Previous experience with LookerStudio, Salesforce Datorama, NinjaCat or similar platforms. Knowledge of statistical modeling techniques, segmentation, research, lifetime value, ROI - an added advantage. TOOLS YOU'LL WORK WITH: Ad Platforms: Google Ads, Microsoft Ads, Meta Ads, and more. Analytics Tools: GA4, Looker Studio, Datorama, Adobe Analytics. Reporting Suites: Lever's internal reporting tools integrating multiple marketing platforms. Collaboration Tools: MS Teams, Microsoft Planner. WHAT WE OFFER: Competitive salary 100% premium paid medical, dental and vision benefits for employees 401K with a salary match Paid holidays Competitive vacation and personal time-off package Hybrid Structure Company donation match - you donate, we donate Time off for community service - because charity can't always wait until evenings or weekends

Data Architect / Business/Data Analyst - Contract - Chicago - $70 an hour We are seeking an experienced Data Architect to lead the integration and optimization of data systems for two merging departments. This role combines deep technical expertise with strong business acumen to ensure data is seamlessly aligned with organizational goals. The ideal candidate will have experience in data wrangling, dimensional modeling, gap analysis, and designing future-proof, scalable data architectures. You will work closely with key stakeholders to understand business needs, identify gaps in current data capabilities, and deliver innovative solutions that drive value and efficiency. Key Responsibilities: Data Architecture and Engineering: Design and implement scalable, future-proof data architectures to support the merging departments. Develop dimensional data models (e.g., star and snowflake schemas) for business intelligence and reporting. Ensure data structures and pipelines are optimized for efficient data access, analysis, and visualization. Build and maintain robust ETL pipelines to wrangle, clean, and integrate datasets from multiple sources. Business Analysis: Collaborate with business stakeholders to understand organizational needs, processes, and priorities. Conduct gap analysis to identify shortcomings in current data systems and processes. Translate business requirements into technical specifications, ensuring alignment with organizational goals. Provide actionable insights to support strategic decision-making and process improvement. Data Strategy and Governance: Define and enforce best practices for data governance, ensuring data quality, security, and compliance. Develop a long-term data strategy to future-proof systems and processes. Act as a bridge between technical teams and business stakeholders to ensure clear communication and alignment. Collaboration and Leadership: Work cross-functionally with data engineers, analysts, and business leaders to deliver integrated solutions. Provide technical guidance and mentorship to junior team members or external consultants, as needed. Key Skills and Qualifications: Technical Expertise: Proven experience in designing and implementing dimensional data models (e.g., star and snowflake schemas). Strong proficiency in data wrangling and integration using tools like SQL, Python, or R. Experience with ETL processes and tools (e.g., Informatica, Talend, Apache Airflow). Familiarity with cloud platforms and data warehousing solutions (e.g., Snowflake, AWS, Azure, Google BigQuery). Strong understanding of data governance and compliance frameworks (e.g., GDPR). Business Acumen: Experience conducting gap analyses and aligning technical solutions with business objectives. Ability to understand complex business processes and translate them into data requirements. Strong communication skills to engage with non-technical stakeholders and present insights clearly. Eden Smith is an equal opportunities employer and does not discriminate on any grounds.

Greetings! Hope you are doing well!! I am Aakanksha Gupta and a part of the Recruitment Team at MCube Soft, IT staffing and services firm for end to end Enterprise IT Solutions. I am trying to fill up a consulting position for one of our major clients for an important project. More about the project details are given below: Job Title: Technical Lead - Senior Snowflake Data Engineer Location: Chicago, IL - Onsite Job Type: Contract Job Description: seeking a highly experienced, hands-on Senior Snowflake Data Engineer / Technical Lead for a contract position at a leading financial institution. This exclusive opportunity is ideal for a senior-level consultant with 15+ years of data experience who thrives in a technical leadership role without stepping into management. The right candidate will have deep expertise across the data lifecycle-from development and design to architecture-with hands-on skills in Snowflake, Databricks, and modern data engineering practices. Key Responsibilities: Lead the design and development of robust, scalable, and high-performance data solutions using Snowflake and Databricks. Provide architectural guidance and technical leadership across the full data engineering lifecycle-from data ingestion to transformation and data modeling. Collaborate with business stakeholders and data teams to translate complex requirements into technical solutions. Drive best practices around data governance, performance optimization, and reliability. Work cross-functionally to define standards for development, deployment, and maintenance. Act as a hands-on lead, mentoring junior developers and reviewing code without stepping into people management. Take ownership of technical decisions and ensure solutions align with long-term strategic goals. Qualifications: 15+ years of experience in data engineering, architecture, and large-scale data solutions. Deep hands-on experience with Snowflake and Databricks in enterprise environments. Proficient in SQL, Python, Spark, and data integration tools. Strong experience in ETL/ELT development, data modeling, and cloud-based data platforms. Excellent communication and stakeholder engagement skills. Self-starter with a passion for solving complex data problems at scale. Prior experience in financial services or other highly regulated environments is a plus. Thanks & Regard, Aakanksha Gupta **************, Ext: 115 ***********************

NO THIRD PARTIES. This is almost entirely remote. Individual will only need to work onsite at the Northbrook location 1 day per week. The selected individual will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure the successful implementation of data models, ETL pipelines and data processing. Responsibilities: Design/ implement scalable data models and architecture using Redshift. Work with business and data teams to translate requirements into data models. Develop and optimize SQL queries and stored procedures. Develop/ maintain ETL pipelines to ingest and process data into Redshift data warehouse from various data sources, including Salesforce.com, Dynamics 365, etc. Ensure smooth data integration from multiple sources, including cloud-based and on-prem. Monitor performance of Redshift environment and optimize queries, tables, indexes, etc. Utilize Redshift best practices to optimize query performance. Ensure data integrity, quality, and consistency across the EDW (Enterprise Data Warehouse). Document data models, ETL processes, and Redshift configurations. Troubleshoot issues related to data extraction, transformation and loading processes. Required Skills: 5+ years of experience in designing, developing, and optimizing data solutions using Amazon Redshift. Strong experience with SQL, including complex queries, stored procedures, and functions. Knowledge of data modeling best practices (logical, star schema, snowflake schema). Proficiency in Amazon Web Services (AWS) ecosystem, especially Redshift. Experience with AWS S3 and other AWS services for data storage and processing. Experience with Tableau or other comparable tool like Power BI or AWS QuickSight. Prior experience using ServiceNow for building, configuring and testing new releases. Understanding of database optimization techniques (e.g., indexing and query optimization). Technical Skills: AWS Redshift, EDW (Enterprise Data Warehouse), AWS S3, SQL, Tableau, Power BI, PostgreSQL, ETL Development, Queries, Stored Procedures, ServiceNow, Oracle and Jitterbit.

TekStream is seeking a BI / Data Engineer with Azure for our Financial Services Client in Chicago (3 days per week onsite. This is a 6 months contract with possible extensions. 5 to 10 years of experience in BI development. Expertise in Qlik Sense is a plus. Strong background in data modeling, ETL processes, and back-end development. Proven experience in designing and implementing intuitive and effective data visualizations. Proficiency working with large, complex data sets. Experience with Azure data platforms, such as Azure SQL, Data Factory, or Synapse Analytics and ingesting data from 3rd party operational systems via API, connectors, or files required.

Exciting Actuarial Consultant Opportunity! About Us: My client is a leading actuarial consulting firm with a strong reputation for delivering high-quality, data-driven solutions to complex actuarial problems. My client offers a dynamic and engaging workplace where your skills and expertise will be highly valued! Position Overview: We are seeking a passionate and driven Actuarial Consultant to join our team! In this role, you will support our growing actuarial consulting practice by working on a variety of projects, including loss reserving, pricing, and data analytics. You will have significant interaction with clients, gaining visibility and making a real impact. This is a fantastic opportunity to broaden your actuarial experience and work in a supportive, team-oriented environment. Essential Education and Experience: BA/BS degree in actuarial science, mathematics, statistics, computer science, data analytics, economics, finance, business, or related field Associate of the Casualty Actuarial Society (ACAS) Property & casualty industry experience, prior actuarial consulting experience preferred Skills and Competencies: Self-starter with the ability to develop client-oriented solutions Proficiency in Microsoft Excel, Word, and PowerPoint Preferred experience with Alteryx, R, Python, or related coding programs Essential Duties and Responsibilities: Assist with loss reserving, pricing, and data analytics projects for various commercial property and casualty lines Organize and analyze large data volumes, ensuring integrity and accuracy Setup and oversee spreadsheet analysis, templates, and exhibits Apply complex actuarial theories to create statistical models Prepare and oversee production exhibits and written reports to present findings Assist in preparing proposals and presentations for prospects Compensation and Benefits: Competitive compensation package Comprehensive benefits including medical, dental, vision, Rx, 401(k), life and AD&D, short-term and long-term disability, and more Excellent growth opportunities Why Join Us? We offer excellent opportunities for career progression and growth. Our work environment is collaborative and innovative, with a strong focus on employee satisfaction and benefits. You'll have the chance to work on diverse projects and make a significant impact while enjoying a supportive and flexible work culture. Ready to take your career to the next level? Apply now and join our team to make a significant impact!

About Us Darwill is a third-generation, family-owned performance-based marketing powerhouse based in the western suburbs of Chicago, IL. Since 1951, we've been impressing clients of all sizes and industries with our proven direct marketing solutions. What's our secret sauce? We're not just a one-solution marketing company; we're a full-service, dedicated partner! From omnichannel strategies to eye-opening data insights, response-inducing creative, seamless production, and sophisticated reporting tools - we've got it all! Our Mission: To empower national and local businesses through performance-based marketing by executing complex location-based data-driven campaigns, leading to increased sales, sustainability, and an improved return on investment. At Darwill, we don't just build marketing campaigns; we create a culture of success and positivity! We value respect, collaboration, empowerment, and giving back to the community. We're a team of spirited individuals working together to redefine client success. Apply now, and let's embark on a thrilling adventure together! Your next chapter begins at Darwill. Responsibilities: Leverage the Databricks Data Intelligence Platform to design and implement innovative data solutions, including lakehouse architectures built that enable seamless data access and advanced analytics. Utilize SQL, Python, and PySpark to extract, transform, and integrate diverse customer & vendor data, ensuring data integrity and consistency. Create ETL/ELT pipelines to clean, prepare, and ingest data for comprehensive and scalable analysis. Collaborate with data scientists to develop, deploy, and optimize machine learning models in a production environment. Develop targeted prospect lists based on advanced segmentation and profiling techniques. Partner with account managers and executives to integrate data-driven insights into impactful marketing strategies. Work closely with DE team to identify and integrate available data sources, develop ELT processes to meet evolving client needs. Prepare and present data-driven reports to stakeholders, effectively communicating key findings and recommendations. Stay at the forefront of the industry by continuously learning and applying the latest data analysis techniques, tools, and best practices. Qualifications: Databricks Data Analyst Associate certification. Bachelor's degree in Data Science, Business Intelligence, or a related field. 3+ years of hands-on experience in data analysis or business intelligence, with strong proficiency in SQL and Python for data manipulation and analysis. Proven experience in developing interactive dashboards using Tableau or Power BI. Excellent analytical and problem-solving skills. Strong written and verbal communication skills, with the ability to present complex data insights clearly. Ability to work independently and collaboratively within a team environment. Experience working with cloud data platforms and solutions such as AWS, Azure, GCP. Highly desirable, but not required to apply: Experience with machine learning and data mining techniques. Familiarity with CRM systems and marketing automation platforms. Experience in developing predictive models and forecasting. Proficiency in market segmentation techniques. Work Environment/Physical Demands: Occasionally, extended or evening hours may be needed to meet project deadlines or client needs. This job offers a hybrid work environment, with approximately 2 days per week in-office at our Oakbrook Terrace headquarters and the remainder remote from the Chicago area.

Provide advanced actuarial analyses based on established principles, supporting data-driven decision-making for internal business leaders in areas such as Pricing, Reserving, Reinsurance, and Corporate Reporting. Key Responsibilities: Conduct in-depth research to evaluate new business opportunities, establish rates, and develop pricing strategies aligned with profitability goals. Present actuarial findings clearly to diverse stakeholders, including underwriters, and respond to requests for alternative approaches. Deliver presentations to actuarial and non-actuarial audiences, ensuring understanding of results and their implications. Identify and communicate potential actuarial issues proactively. Mentor and support junior actuaries, fostering professional growth. Qualifications: Bachelor's degree in mathematics, statistics, actuarial science, or related field (minimum GPA: 3.2). 3+ years of actuarial experience with at least 4 completed SOA/CAS exams; commitment to CAS Associate or Fellowship designation. Strong skills in Excel, with preferred experience in SQL, R, Python, Power BI, and ResQ software. Solid background in pricing and reserving.

Our Manufacturing client is actively seeking an EDI Coordinator to support their team based out Wheeling, IL This opportunity is 5 days onsite As an EDI Coordinator, you will be responsible for operating and optimizing the Electronic Data Interchange (EDI) systems. You will ensure efficient communication and data exchange with our partners and vendors, troubleshoot issues, and implement solutions to streamline our supply chain processes. Your role will be pivotal in improving operational efficiency, data accuracy, and timely transaction processing. Responsibilities: Lead the implementation, management, and maintenance of the EDI system, including integration with ERP system and other internal systems. Work closely with internal teams and external partners to analyze requirements, develop mapping specifications, and ensure accurate and timely data exchange. Monitor, troubleshoot, and resolve EDI transaction issues, ensuring minimal disruption to operations. Develop and maintain documentation related to EDI processes, transaction mapping, and partner setups. Manage relationships with EDI trading partners, including setup, testing, and ongoing maintenance of connections. Ensure compliance with data security protocols and industry standards for data transfer. Train and support team members on EDI processes and best practices. Qualifications: Associate degree in Information Technology, Computer Science, or a related field (or equivalent work experience). Minimum of [3] years of experience managing EDI systems, preferably in a manufacturing or retail environment. Strong knowledge of EDI standards such as ANSI X12, EDIFACT, XML, and AS2 a plus Experience with ERP systems (e.g., SAP, Oracle) and integration tools (e.g., IBM Sterling, Cleo, or similar). Excellent problem-solving skills, with a detail-oriented and analytical approach to troubleshooting. Strong project management skills with the ability to prioritize and handle multiple tasks. Effective communication skills, able to work collaboratively with internal teams and external partners.

Must Have Technical/Functional Skills • A Minimum of 5 Years' experience • Design & Develop data pipelines ETL/ELT solutions using Azure Data Factory, Databricks, and Synapse Analytics to process structured and unstructured data. • Implement and manage Azure Data Lake, Azure SQL Database and other data storage solutions. • Optimize data workflow and ensure data integrity using SQL/Synapse and other tools on Azure. • Azure Data Services: - Azure Data Factory, Databrick, Azure Synapse Analytics, Azure Data Lake. • Databases & Storage: -SQL Server, Azure SQL Database, Blob storage, Synapse Analytics. • Cloud Integration: Connect and integrate data source from on-prime, cloud and third-party APIs into Azure -based System. • Performance Optimization: Monitoring and enhance query performance, cost efficiency and scalability of data platform. • Automation and DevOps: Implement CI/CD pipeline for data workflows using Azure DevOps with tools like ARM templates. Roles & Responsibilities Production support & Monitoring: • Act as the primary escalation point for complex issues related to Azure Data factory, Databricks. • Monitor and troubleshoot data ingestion pipelines to ensure smooth data flow for digital marketing campaigns. • Perform root cause analysis (RCA) and implement permanent fixes for recuring issues. • Working Closely with team, providing guidance and resolving critical incident. Data Pipeline Management (Azure Data factory & Databricks) • Manage and optimize ETL/ELT pipeline in Azure Data Factory and Databricks for data ingestion. • Implement data validation and error -handling mechanisms to maintain data integrity. Adobe Campaign Classic Support & Digital Marketing data integration: • Ensure seamless data flow from Azure to Adobe Campaign Classic for marketing campaign execution. • Support Campaign team by troubleshooting data sync issues, segmentation errors and delivery failures Incident & Problem management: • Handle high priority incidents, perform impact analysis and communicate resolution timelines. • Implement long-term fixes and preventive measures to minimize recurring issues. • Work with Adobe support and Microsoft Azure team for vendor escalations and resolution. Performance Tunning & Optimization: • Monitor and improve Azure data factory pipeline execution times and data bricks cluster performance • Fine-Tune query performance for large -scale data ingestion. • Ensure Adobe Campaign classic campaigns run efficiently with o ptimized data input. Documentation and Knowledge Sharing • Maintain Detailed SOPs, troubleshooting guides and runbooks. • Conduct training session for team members on Azure Data factory, data brick and Adobe Campaign classic best practices. Document incident resolutions and RCA reports for future reference. Generic Managerial Skills, If any Preferred but not mandatory. The Candidate must primarily be a technical lead with hands-on development expertise.

Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 We're passionate about our products because our customers rely on them to run their businesses. is on-site, and we are looking for people who share our passion. Position Responsibilities Analyze current manual processes for improvement opportunities. Define problem scope and think critically about potential solutions. Develop process-improvement solutions that make use of Excel / VBA to automate procedures. Minimum Requirements Bachelor's degree in finance or accounting. Strong analytical skills with attention to detail and accuracy. Adept at creating queries, writing reports and presenting findings. Strong SQL skills a must. VBA (or similar) programming knowledge required. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks On-site café and first-class fitness center with complimentary personal trainers. Over four miles of beautifully maintained walking trails. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,000 employees across 13 locations. Uline is a drug-free workplace. EEO/AA Employer/Vet/Disabled #LI-MT1 #CORP (#IN-PPFINHRLY) Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore **************************************************** to learn more!

If you have read my s before, welcome back. If you are new, welcome to the party....you will notice that I like to add humor to my s...so you will see (hopefully) some chuckles as you read this. Allow me to introduce myself. My name is Tom. I am Partner & VP at RSM Solutions, Inc. I have been recruiting technical talent for 23 years and been in the tech space since the 1990's. The reason I say this is not to 'gloat' or to say I am this great guy...it is just to set something of a framework. I am far more focused on 'fit' than anything else. You will be working at a firm that has grown, quite substantially over the last 7-8 years from a small company with roughly 16 employees to one that now has just about 200 employees (and $1B in annual revenues). You cannot have that kind of growth without a true 'team spirit'. A lot of people will say 'oh, we work together', or 'we work as a team'. However, when you have this kind of growth, you absolutely need to have people who have each other's backs, and truly do work together. This growth was not due to one person, but the whole team. I mention all of this, because that social fit I mentioned is - truly - important. So, what creates a good 'social fit' here? Well, I am glad you asked...here are some of those characteristics: There is an expectation that you know what you are doing. So, there is limited - if any - micro management here. There are people here to help you, so you won't be an island. But, there is an expectation that - if you have questions with regard to how to do x, y or z, that you will already have tried a few potential solutions first as opposed to just asking 'how do I do this?'. This is an environment where you are encouraged to try stuff. No one is going to chastise you or belittle you if you fail...that's how we all learn (I don't know about you, but I learn far more from my mistakes then my successes). I mentioned the growth of the firm earlier in this , this leads me to one of the most important aspects of social fit for this role. If you believe the world revolves around you or that you are God's (or whatever higher power you believe in) gift to IT, then you should probably look elsewhere. This is an environment with limited ego and limited drama. It seems that a lot of job descriptions will say 'fast paced environment', or 'ability to multi task'...I roll my eyes when I see that and I bet you do as well. So, I won't state those here. However, if you have a keen understanding of that Pareto principle (that 80 / 20 rule) you will be off to a great start here. Their is a saying with these guys 'when everything is urgent, nothing is urgent'... So, that keen understanding of what is really important (that 20% that creates 80% of the value) will be needed here. Yep, you will only learn that over time here...so, no one expects you to know all this on day 1. If you follow that famous Steven Covey habit of 'first seek to understand, then to be understood', we will be off to a great start. This is not an environment where the answer is 'build another dashboard'...instead, it is one where you will understand what is needed and then work off of that understanding. This role is permanent and fully benefitted. The client is located in Riverside Plaza in Downtown Chicago. So, preference will be given to Chicago-based candidates for this role. If you are closer to Dallas, Texas, that would work as well. This role is being done in a hybrid manner with 3 days onsite and 2 days remote. I can only work with US Citizens or Green Card Holders for this role. I cannot work with H1, F-1, OPT or EAD Visa holders for this role. In other words, I can only work with you if you are already a US Citizen or a Green Card Holder. Here is what we are seeking: We are looking for a Data Analyst to join the analytics team. You will be responsible for producing the data reports and analytics that the rest of the firm will rely upon for strategic decision making and day to day operations. So, you will be definitely making an impact here. The ideal candidate will have experience managing Power BI and owning the data modeling. You should have ample experience producing sophisticated reports in Power BI and managing the Power BI Service. Knowledge of DAX, M, SQL, Star Schema, and Semantic Models are an absolute must. Python/ Pandas/ Matpotlib and the rest of the Python data science universe experience is a plus. A subset of the role will involve master data management as well. You will work, closely, with the Data/Dev teams to make sure that data is reachable, consistent, updated, and ready for the different Data models. A significant part of this role will entiail working with this team to create a data model in PBI for non-technical users. They would like non-technical users to be able to create reports off of 300 different variables. This is where the semantic models in that previous paragraph will play a role. As anyone involved in reporting knows, reporting requires nuance. So, you will be working with users, determine the main queries and the main variables that someone would like to report off of (as well as create the data model). So, a good example of this would be for - lets say - a motor parts manufacturer would like to know their GP numbers on particular parts in the northeast in Q4...the report should give them the option to determine part numbers, include other part numbers that may be associated with those parts, give options to determine if repaired or OEM parts should be included, etc... Here are some of the key responsibilities: Maintain Power BI Data models. Support the monthly metrics reporting efforts. Produce statistical analysis on this client's data to allow senior leaders to identify advance trends. Control access to data in the data models via Row Level Security. Produce Ad hoc data reports on demand. Stay in constant touch with the development teams, serving as a steward for this client's data. Work with data and analytics experts to strive for greater functionality in our data systems. Here is what we are looking for: At least 4-5 years of experience with DAX, M and SQL. At least 4-5 years of experience with statistical analysis. At least 4-5 years of experience building Semantic Models. Any Master Data Management experience. This is not a role for a contractor...so, we are seeking duration on the roles you have held. If you have spent 1 year on one role, 6 months on another, and a year on the next, we probably will not have a good fit for this role. At least 5 years of experience as a a Data Analyst. This should include authority over PowerBI systems as well as experience building and optimizing Power BI Data Models, Flows and Dashboards. A successful history of manipulating, processing and extracting value from disconnected datasets. Strong project management and organizational skills.

📍 Chicago/hybrid | Global Specialty Insurance Firm ⭐ Permanent | Commercial Lines Pricing What's in it for me? ⭐ Join an international specialty insurance firm that provides innovative solutions ⭐ A role which encourages innovation and initiative ⭐ Work alongside some of the highest quality leaders in the insurance industry ⭐ Excellent remuneration package inc. relocation assistance The role: 📢 ⭐ New USA role announcement ⭐ 📢 We are working with a super client who have an exciting opportunity for a US-based, Senior Actuarial Analyst with Commercial Lines Pricing experience to join their team in the USA. This role goes beyond the numbers and you will: dive deep into rating processes and tools across multiple specialty lines gain hands-on exposure to underwriting and strategic business decisions collaborate with underwriters and key business partners to enhance pricing strategies, refine rate plans, and drive impactful solutions If you're looking for a dynamic role where your analytical skills make a real difference and where you can demonstrate your initiative - this could be the ideal next step! This is a team who represents some of the highest quality leaders in the insurance industry, each of whom are committed to developing the knowledge and expertise of their colleagues. Recognizing their employees are their most valuable asset, this is a company who is committed to cultivating an environment of empowerment and innovation so that as a team, they find the best solutions for their clients. Relocation assistance will be provided, if required, for the successful candidate. An exceptional career opportunity. Star Ref: Star9149

Role Title: SAP MDM Data Analyst Employment Type: Contract Duration: 3 months with possible extension until EOY Preferred Location: Prefer Local to Mundelein area, open to remote with travel every 2 months for go lives and hypercare **NO 3rd Parties or Sponsorship. MUST be willing to travel to Chicago at least once every 2 months and for go-lives and hypercare Role Description: Seeking data analyst (techno-functional) resource(s) to support immediate need in: Executing end-to-end test scenarios Training documentation creation and refinement Supporting data steward team in review/creation of process mapping and Standard Operating Procedure documentation Assisting with training of data steward and additional data support team members Ability to quickly ramp-up on current steward job responsibilities and translate to future-state role Engage with multiple data support teams across execution processes to determine change impact points of risk a training/communication requirements Possible: support process execution through hyper care Requirements: strong SAP MDM Data Analyst experience Fluent in navigating SAP ECC and S4 Exposure to multiple SAP modules ( MM, PP, FI, WH/EWM, QM ) and strong understanding of SAP table structures and purpose Working data experience of Material Master, characteristic, BOM, Routing, Inspection plan, work center, Inventory, Production version, PIR/SL General knowledge of end-to-end data movement in SAP modules focusing MM, PP, FI, WH/EWM, QM Idoc/interface review, triage and root-cause analysis Strong communication Exposure to development, pre-cutover, data support and governance project phases Ability to create Functional specification and training documentation Functional and end-to-end test planning and execution Mix of directed and self-directed work Plus but not required- Experience with determining relevancy and extraction rules to support data field mapping Exposure to common industry ETL tools + analysis experience for data quality and exception reporting Reporting tools / SQL query Experience with WinShuttle script execution

USG is an industry-leading manufacturer of building products and innovative solutions. For over 120 years, Chicago-based USG has developed award-winning wall, ceiling, flooring, sheathing, and roofing products that enable customers to build outstanding spaces where people live, work, and play. With over 8,700 employees across North America and operations around the world, we are steadfastly committed to our core values: safety, innovation, quality, integrity, service, diversity, and efficiency. We're big enough that our professionals have the resources to make a difference, yet small enough that you're not just a number. You'll work on key initiatives and build strong relationships across the company that will position USG for growth into the future. USG offers work-life balance, specialist and general/managerial career paths, promotion from within, exceptional benefits, and incredible long-term career opportunities for the right professional. Each year, we have hundreds of employees who celebrate milestone anniversaries with us. Capability Transformation Overview: USG is evolving its digital customer experience and translating the objective of being easiest to do business with into a sustainable technology roadmap. The digital transformation includes upgrading our technology stack and augmenting our teams, developing new digital platforms, and integrating a best-in-class eCommerce operating model to deliver exceptional customer experience from design planning to order delivery. The digital services are based on improved data and process models and will be provided for all our customers in the US, Canada, and LATAM. Position Overview: The CX Product Information Data Analyst is a subject matter expert for USG product information, ensuring accuracy and consistency of product data. They lead data harmonization efforts and act as the product information data steward, maintaining product hierarchy and encouraging governance to maintain the Product Information Management (PIM) system as the single source of truth. Ultimately, the role supports syndication of data to internal and external systems, ensuring seamless and efficient information flow. USG offers a hybrid workplace. The office location is Chicago, IL. The Team: The Product Data and Information Publishing / PIM team works in an agile environment, guided by a Product Owner and a Tech Lead. Each member of the team has a specific role to play, but they all share a common goal of delivering industry-leading digital solutions to our customers. The Product Data and Information Publishing / PIM team is effective because of its ability to work collaboratively and take ownership of its deliverables. It operates within a product-platform model that emphasizes cross-functional collaboration and end-to-end ownership of deliverables. This model leverages the diverse skill sets of team members and fosters innovation, agility, and accountability. KEY RESPONSIBILITIES Product information owner: Serve as the subject matter expert for USG product information, ensuring data accuracy and consistency. Maintain and update the product hierarchy within the PIM system. Data stewardship: Act as the data steward for product information, overseeing and enabling data quality and integrity. Encourage and enforce governance practices to maintain the PIM system as the single source of truth. Local data harmonization: Direct local data harmonization efforts to ensure uniformity across various data sources. Work closely with cross-functional teams to align data harmonization strategies. Data syndication: Support the syndication of product information to internal and external systems. Ensure timely and accurate data distribution to stakeholders, including marketing, sales, and external partners. Governance and compliance: Implement and enforce data governance frameworks and compliance standards. Conduct regular audits to ensure adherence to data governance policies. Collaboration and coordination: Collaborate with IT, marketing, sales, and other departments to align product information strategies. Communicate effectively with stakeholders to ensure understanding and adherence to data management practices. Continuous improvement: Identify opportunities for process improvements in data management and governance. Implement best practices and innovative solutions to enhance the PIM system and data workflows. KEY QUALIFICATIONS: Education: Bachelor's degree in Business Administration, Marketing, or a related field. Required Skills: 5+ years in roles related to product information and/or data management. Deep understanding of product information management (PIM) systems and best practices (e.g., managing product data lifecycle, implementing data governance policies, integrating PIM with other business systems). Strong skills in data stewardship, ensuring data accuracy, consistency, and completeness. Familiarity with data syndication processes and tools. Strong analytical skills with the ability to interpret complex data sets. Excellent problem-solving skills to address data inconsistencies and governance issues. Strong collaboration skills with the ability to work effectively with cross-functional teams, including IT, marketing, and sales. Knowledge of data governance frameworks and compliance standards. Ability to encourage and enforce data governance practices within the organization. Excellent written and verbal communication skills. Preferred Skills: Familiarity with building materials product information requirements and standards. Understanding of customer experience principles and how product information impacts customer satisfaction. Familiarity with Agile development methodologies. Rate of pay may be adjusted based on the qualifications and experience of the candidate. USG employees enjoy a number of benefit options for themselves and their families. These include two medical insurance options, as well as vision and dental coverage. The cost of these optional programs varies based on coverage level - employees generally pay 25% of the monthly premium cost, USG pays the rest. These coverage options are offered on the first day of employment with no waiting period. Additionally, USG employees enjoy both a 401(k) Investment Plan with company match and a pension plan. Beyond these main features, employees may also choose from a number of additional programs like life insurance, accident insurance, legal insurance, even pet insurance, just to name a few. USG also offers Quarterly (hourly) / Annual (salary) bonus potential for all employees based on performance metrics tied to safety, quality, and productivity. USG also provides employees with paid time off and paid holidays. Since 1902, Chicago-based USG has been a leader in producing innovative, award-winning products and systems to build everything from major commercial developments and residential housing to home improvements. USG's employees are committed to the highest levels of customer satisfaction and quality in everything we do. Our steadfast commitment to the company's core business values - innovation, quality, integrity, service, diversity, efficiency, and safety - have helped us become the company we are today. EOE including disability/veteran #J-18808-Ljbffr

Senior Data Analyst Direct Permanent Role Salary: 100-130K/year + 7.5% STI Interview/Start: ASAP Required Experience: 5-10 years of Data Analyst experience Data analysis in the Mortgage industry Building tableau reports from scratch Presentation skills Write SQL scripts from scratch to access data, dig and edit the scripts when necessary Bonus Experience: Experience with Alteryx Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion