Data Analyst Internship Jobs in Emeryville, CA

Job Summary: We are seeking a highly skilled and motivated Technical Data Analyst with a strong background in quantitative data analysis and technical expertise in data warehousing, SQL, and analytical tools. The ideal candidate will have a proven ability to manage and analyze large datasets, leverage AWS services, and communicate complex data insights effectively to both technical and non-technical stakeholders. Key Responsibilities: Perform end-to-end quantitative and qualitative analysis on large datasets to derive meaningful insights and support business decision-making. Develop complex SQL queries from scratch to extract, segment, and aggregate data from data warehouses. Utilize data query and processing tools/systems, including relational, NoSQL, and stream processing databases. Collaborate closely with cross-functional teams to understand data needs and design effective data models. Use AWS services such as Redshift and Athena, and demonstrate an understanding of AWS core concepts to optimize data operations. Implement and manage data modeling techniques using tools such as Python, R, and PyCharm. Present complex technical information in a clear and concise manner to executives and non-technical stakeholders. Work independently as a self-starter, applying critical thinking and creativity to solve problems. Stay curious and continuously improve processes by learning new techniques and technologies. Quickly adapt and get up to speed on business systems such as Salesforce, Amazon Connect, and EWFM, and understand their data architecture and interactions. Qualifications: Experience: 8+ years in quantitative data analysis, data engineering, or a related field. Education: Technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience. Technical Skills: Advanced SQL proficiency Experience with AWS (Redshift, Athena) and core AWS concepts Knowledge of data query and data processing systems (relational, NoSQL, stream processing) Familiarity with data modeling techniques Experience with analytical tools like Python, R, or PyCharm

Job Title: Marketing Data Analyst Experience: 2-5 years of experience Type: Contract LHH is seeking a Marketing Data Analyst to support a client on a contract basis. This role focuses on analyzing email and push notification performance, optimizing campaign effectiveness, and collaborating with cross-functional teams to drive insights and improvements. Responsibilities: Identify and lead projects to implement industry best practices for email and push notification deliverability Provide data analysis to track overall channel performance, trajectory, and opportunities Build SQL queries for campaign performance analysis and ad hoc data requests Establish benchmarks for email and push notifications Troubleshoot channel and campaign issues with teams including Growth Tech Operations, Analytics, and BI Qualifications: Bachelor's degree in business, marketing, or related field. 2+ years of experience in a quantitative field Strong familiarity with SQL and data analysis Experience with data visualization tools (Looker, Tableau, etc.) Ability to manage multiple projects in a fast-paced environment Experience with email marketing KPIs and deliverability metrics Strong problem-solving mindset and ability to work with ambiguity Pay Details: $35.00 - 45.00 per hour The role is contract and onsite in Oakland, CA. Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.

• The Research Analyst will analyze economic, demographic, and real estate data and trends for Polaris Pacific's developer and investor clients. Using this data, the analyst will develop custom reports for developers and financial institutions on the feasibility and highest and best use of future residential developments. • Using Tableau and other data visualization software, the Research Analyst will prepare compelling visualizations and stories highlighting specific real estate trends. • The Research Analyst will also help maintain our existing monthly condominium market research reports. The reports analyze overall condominium market trends and the performance of new condominium communities in 8 urban markets of the West Coast. • The Analyst will also be responsible for creating pricing models for apartment and condominium developments. • Working with architectural plans, pricing models, and fieldwork, the Research Analyst will gain valuable, hands-on experience in residential real estate development.

Staff Product Analyst Salary: $200K-$240K base + Equity We're hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities. What You'll Do: Shape product strategy with data-driven insights - Define key metrics, track user behavior, and identify trends that impact engagement and retention. Deep-dive into user journeys - Uncover friction points and growth levers to enhance adoption, conversion, and retention. Optimize experimentation and A/B testing - Design and analyze tests to improve product features, pricing, and personalization strategies. Develop self-service analytics tools - Build dashboards and automated reporting to empower teams with real-time data. Partner with Product, Engineering & Leadership - Translate complex data into clear, actionable recommendations to improve product performance and business outcomes. What We're Looking For: 7+ years of experience in Product Analytics, preferably within high-growth tech companies. Expert SQL skills and experience working with large-scale product datasets. Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation. Hands-on experience with A/B testing methodologies and user segmentation. Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard. Strong executive communication skills, with the ability to influence product decisions through data. Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

Duration: 12 months; potential to extend Pay: up to $65.90/hour, DOE (W2 and option for benefits) Planet Interactive is looking for a Data Analyst to join our well-known Fortune 500 client on a 12 month contract. This role will be 40 hours per week and is hybrid in Culver City or Cupertino, CA. The Data Analyst will support the development and implementation of internal data tools, dashboards, and reports. The person is responsible for analyzing large data sets, creating data visualizations, and providing strategic insights. This role requires an extremely detail-oriented, strategic, and driven person who is familiar with data tools and applications. The ideal candidate will be a problem-solver with a passion for learning new tools, tools implementation, and ability to work cross-functionally. They will need to have clear and effective communication skills and be able to work well with various teams. They should be curious about learning how user groups operate, but also have a long-tail desire to help an organization optimize the way it works overall. Responsibilities: Develop tools and provide analysis to support data driven decision making Collect feedback from users to create automated reporting and compelling data visualization solutions with minimal supervision Build and scale maintainable data infrastructures and end to end reporting solutions that connect business and finance teams with critical data Monitor and maintain data pipelines and preemptively solve and raise issues Identify trends and patterns in financial data that contribute to diagnostic and predictive analytics efforts, along with data reporting & presentation Data entry and optimization as needed Qualifications: 5+ years experience in a tools, platforms, or applications implementation role 5+ years of experience implementing business processes in software tools 5+ years of experience implementing data pipelines and flows Expertise in SQL, Python, Data lake systems such as Snowflake, and Tableau Experience with ETL/Reverse ETL processes and data cleanup preferred Experience working with central data and analytics teams Expert knowledge of data management, metric building, and tools Experience testing and implementing workflow management systems or software Experience handling sensitive and classified information/data with the utmost discretion Knowledge of Financial Data such as Purchase Requests, Purchase Orders, and Invoices preferred

Reports To: CEO/Founder Type: Internship (Summer) We are a forward-thinking AI company focused on developing Domain-Specific Artificial Human-Like Assistants (AHLA). Our solutions leverage large language models (LLMs) and innovative alternative architectures to revolutionize industries with high-performance, cost-efficient AI. Through advanced training techniques and model distillation, we aim to reduce the Total Cost of Ownership (TCO) for training and inference by three orders of magnitude, while maintaining or exceeding human-level accuracy in highly specialized domains. As part of this effort, we are looking for an enthusiastic Data Science Intern to join our team for a summer internship. This is an exciting opportunity to get hands-on experience with cutting-edge AI research, machine learning techniques, and domain-specific applications, all while working with industry leaders to improve the accuracy, efficiency, and ethical standards of AI solutions. Position Overview As a Data Science Intern, you will assist in developing innovative data strategies and machine learning algorithms that optimize domain-specific AI models. You will work closely with the data science team to improve model accuracy, ensure data privacy, and help design scalable, high-performance AI models. This internship will provide exposure to real-world data science challenges in AI and offer a chance to learn from experienced professionals in the field. Key Responsibilities Data Strategy & Management: Assist in processing and cleaning domain-specific datasets to ensure accuracy and quality. Contribute to the development of data pipelines and frameworks for analyzing large datasets. Collaborate with the team to extract value from industry-specific data for model training and optimization. Privacy & Compliance: Help ensure that data collection, processing, and model training comply with privacy regulations (e.g., GDPR, HIPAA). Assist in developing privacy-preserving techniques such as federated learning and differential privacy. Model Training & Accuracy Improvement: Contribute to research on advanced machine learning algorithms for improving the accuracy and efficiency of AI models. Assist with applying techniques like distillation, transfer learning, and model compression to optimize AI models for specific domains. Client Engagement & Domain Expertise: Support client engagement efforts by understanding data needs and helping create AI models that meet specific business objectives. Help communicate complex data science concepts to non-technical stakeholders. TCO Optimization: Collaborate with technical teams to optimize model training, data processing, and inference for reduced Total Cost of Ownership (TCO). Explore cost-efficient data utilization strategies while maintaining model performance and accuracy. Research & Innovation: Stay informed about the latest advancements in machine learning, AI, and data science. Assist in evaluating new techniques, algorithms, and architectures for enhancing domain-specific AI models. Qualifications Education: Currently pursuing a Bachelor's, Master's, or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. Experience: Strong interest in machine learning, AI, and data science. Familiarity with data processing tools and techniques (e.g., Python, Pandas, TensorFlow, PyTorch). Basic understanding of machine learning algorithms, model evaluation, and optimization techniques. Exposure to privacy issues, compliance regulations (e.g., GDPR, HIPAA), and ethical AI is a plus. Skills & Expertise: Strong analytical and problem-solving skills. Experience with large-scale data cleaning, transformation, and analysis. Excellent communication skills with the ability to explain complex data science concepts to both technical and non-technical teams. Personal Attributes: Passion for AI and data science, and a strong desire to learn and innovate. Collaborative mindset with a focus on team success. Self-motivated, organized, and able to work independently when needed. Why Join Us? Work with a talented, passionate team at the cutting edge of AI and data science. Gain hands-on experience working with industry-specific data and applying machine learning algorithms to real-world challenges. Receive mentorship and guidance from experts in the field, with exposure to both the technical and strategic aspects of AI research. Competitive internship compensation and the potential for future opportunities within the company. This internship is an excellent opportunity for students or early-career professionals looking to gain practical experience in AI, machine learning, and data science, while contributing to the development of highly impactful AI technologies. How to apply Send your resume to ************************

Are you passionate about boba? Do you want to gain hands-on experience in marketing, sales, and business development while making a real impact on your campus? FS Drinks is looking for driven and entrepreneurial students at Stanford & UC Berkeley. About FS Drinks & Simple Boba FS Drinks is a Bay Area-based beverage company bringing Simple Boba, a healthier, ready-to-drink boba alternative, to universities, grocery stores, and convenience shops across California. With clean ingredients, no artificial flavors, and no preservatives, Simple Boba is quickly becoming a favorite among students and young professionals. To make Simple Boba a staple at your university, we're looking for dedicated student interns to take charge of growing our presence on and around campus over the course of a full-year internship (including summer). What You'll Do As a University Growth & Marketing Intern, you'll be responsible for establishing FS Drinks as the go-to beverage brand at your school. Your role will involve: Retail Expansion - Work to get Simple Boba into on-campus retail locations, such as the convenience store, bookstore, and student store. Dining Hall Placement - Help get Simple Boba into campus dining halls by identifying key contacts and generating leads for our sales team to close deals. Student Group Partnerships - Connect with student organizations, clubs, and fraternities/sororities to sponsor their events with Simple Boba. Ambassador Recruitment & Training - Build a team of brand ambassadors who will drink, promote, and sell Simple Boba across campus. Sports Event Activations - Work to get Simple Boba into athletic events, whether through direct sales, sponsorships, or strategic partnerships. What You'll Gain Real-world experience in business development, sales, marketing, and event sponsorships. Direct mentorship from seasoned entrepreneurs in the food & beverage industry. A chance to lead and build a campus-wide marketing program. Perks: Unlimited free Simple Boba, exclusive FS Drinks gear, and potential for a paid role after successful completion of the internship. Who We're Looking For Currently enrolled at Stanford & UC Berkeley Entrepreneurial mindset - self-starter, goal-driven, and eager to take initiative. Passionate about marketing, business, or event planning. Outgoing and well-connected in student life (clubs, events, sports, etc.). Comfortable with outreach and building relationships with campus organizations and retailers. Available 10-15 hours per week for a full academic year (including summer). Reliable transportation (preferred but not required). How to Apply If you're ready to be the face of Simple Boba at your university, apply now! No formal experience is required-just a passion for marketing, networking, and helping bring a new brand to life on your campus.

BEPC is looking for a Data Analyst Leader-Biotechnology/Pharma in South San Francisco, CA to join our fast-growing team of consultants! W2 Contract: 12 months with opportunities for extensions based on business needs and performance. Pay Range: $69.01-72.01/hr. plus we offer Medical, Dental, Vision and Life Insurance benefits! Schedule: 100% Onsite Job Summary: The mission of the Data Intelligence team in the Early Clinical Development (ECD) department is to optimize the support of clinical systems to provide high-quality clinical trial data insights and to offer data science-related consultation to the study teams. We leverage cutting-edge data science and operation data management to facilitate the study start-up planning. We develop advanced analytical data visualization and conduct predictive analysis to increase the efficiency of clinical data review and clinical operations with the ultimate goal of driving data-driven decision-making throughout the study lifecycle. The Risk Based Quality Management (RBQM) Data Analyst sits in the Data Intelligence team and supports ECD study teams by delivering timely and high-quality centralized monitoring tools and analysis, including but not limited to the development and maintenance of reports for study specific Key Risk Indicators (KRIs) and Quality Tolerance Limit parameters (QTLs). The RBQM Data Analyst collaborates with RBQM Strategic Leads and other RBQM workgroup members to develop and operationalize the integrated Quality Risk Management Plan (iQRMP) and associated risk mitigation and control strategies, provide processes and tools for oversight of the overall risk and issues management, and offer continuous knowledge sharing and improvement of best practices for study teams to follow. The RBQM Data Analyst participates and contributes to cross-business unit RBQM workstreams representing the company. Primary Responsibilities and Accountabilities: Collaborate closely with RBQM Strategic Leads and other RBQM workgroup members to operationalize the integrated Quality Risk Management Plan (iQRMP), and to manage the identification of critical-to-quality (CtQ) factors, development of risk control strategies, and implementation of risk mitigation activities. Collaborate with the global RBQM Center of Excellence (COE) to drive the design and improvement of technology and analysis solutions necessary for RBQM implementation within the company, including in-house systems and potential external technologies. Support RBQM Strategic Leads and study teams in selection, set up and maintenance of reports for Key Risk Indicators (KRIs), Quality Tolerance Limit parameters (QTLs), and other applicable assessments and dashboards, ensuring consistency by adopting applicable global standards. Lead and perform peer reviews and QC of the ECD specific setup of KRIs and QTLs vs iQRMP and system specifications, as required. Support study teams to conduct data surveillance and issue management by defining consistent risk control strategies and acceptable risk limits in collaboration with the RBQM Strategic Leads and other RBQM workgroup members. Deliver timely and high-quality risk-based monitoring analytics and support. Provide training and knowledge sharing to study teams to promote RBQM analysis solutions and best practices. Lead centralized systematic data surveillance across studies in ECD, document surveillance activities, and assess control measure outputs for necessary mitigating actions. Analyze data for meaningful trends, trigger mitigating actions, and identify potential issues for knowledge sharing across studies. Ensure inspection readiness for the ECD specific RBQM analysis solutions. Champion RBQM within the company and collaborate with cross-business unit RBQM SMEs in continuous improvement and development of risk management processes and system as needed. Education & Experience: Bachelor's degree in Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related field. Master's degree preferred. 5+ years experience in Biotech/Pharmaceutical industry with knowledge of the pharmaceutical/biotech clinical development process. 7+ years experience in Analytics or Statistics (5+ years of experience with a Master's degree). 3+ years of experience in RBQM/RBM processes, including awareness of industry strategy and direction, knowledge and understanding of ICH E8 and ICH E6 requirements. Strong proven experience using data driven methods to analyze and solve business situations, strong critical thinking and analytical skills and aptitude for data analytics including mathematical and statistical concepts. Strong systems awareness including good knowledge of data pipelines, models and systems along with strong cross-functional inputs and dependencies contributing to end to end RBQM delivery. Technical Skills: Proficient in data analysis tools (e.g., R, Python, JMP) for manipulating, analyzing large datasets, creating visualizations, and applying statistical methods (hypothesis testing, regression analysis, data modeling) to analyze clinical trial data Proficient in data visualization tools (e.g., Tableau, Spotfire). Experience and understanding of clinical trial data from various sources (e.g. Veeva, RAVE, IRT, SDTM, clinical devices, etc). Soft Skills: Strong organizational skills and attention to detail. Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships, highly effective verbal & written communication skills. Good problem-solving ability, process minded, breaking down complex problems into distinct parts, able to generate refined output from general concept, managing uncertainty, understanding, anticipating interdependencies. Able to proactively “connect the dots” by asking thought-provoking questions. Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling. Self-accountability, strong sense of responsibility, and integrity. Able to multi-task and re-prioritize work on short notice, able to lean in and manage through change. Ambitious, resourceful, works with minimal instruction and oversight. Highly effective leader and team player. USOPS

Who we are We're a small, early-stage startup in the Bay Area building AI tools that help content creators work smarter. We're looking for curious, entrepreneurial students who are passionate about content creation or AI. This is an unpaid position, but you'll get hands-on educational experience with: How early-stage startups acquire their early users How to analyze user feedback and turn it into product improvements Building and engaging online communities Creating content that drives user growth Startup networking and entrepreneurship skills What You'll Do Day-to-Day Help us grow our user base in online communities Create engaging social media content Talk to creators and understand their pain points Brainstorm and test growth ideas Learn about product marketing and conversion optimization Connect with creators and build relationships Who You Are Currently pursuing an undergraduate or graduate (any major - we care about hustle, not your degree) Active on social media and familiar with creator culture Outgoing and comfortable talking to people Creative and full of ideas Bonus: Connected to creator communities and/or experience creating content or running social accounts Extra Bonus: Bilingual fluency in English and Mandarin Chinese The Details Location: Bay Area preferred, remote possible Hours: Flexible (10-20 hours/week) Duration: 1-3 months Compensation: Unpaid How to Apply Try out our platform (sign up at thechaos.ai) Send us a note with: What you think works and doesn't work about our product Your favorite YouTube channel and why What you hope to learn from this internship *Note: This unpaid internship is designed as a learning experience. We'll teach you real startup skills, give you meaningful responsibility, and help you build connections in tech. Perfect for students interested in entrepreneurship, product development, or the creator economy.

About the job As part of the Service Delivery team in the CMT vertical at Cognizant you will be supporting a major cloud service provider's sales organization. We are seeking a detail-oriented Engagement Analyst to manage the planning, coordination, and execution of customer engagements at Cloud Space. This role requires working 5 days from the office and close collaboration with sales leaders, clients, and internal teams to ensure efficient execution and optimal client experiences. Minimum qualifications Experience in Cloud sales and familiarity with cloud computing concepts. A bachelor's degree with 5-7 years of experience in customer engagement delivery from SaaS/IaaS/PaaS domain Excellent planning and organizing skills, including stakeholder management. Excellent written, verbal, and presentation skills, including comfort presenting to executive and C-level audiences. Preferred qualifications Excellent organizational and time-management skills. Strong communication and interpersonal skills. Ability to work effectively under pressure and manage multiple projects simultaneously. Experience collaborating with cross-functional teams. Experience delivering presentations or demonstrations. Expertise in Agile & Scrum Methodologies Responsibilities Conduct initial planning call to understand client and sales team needs. Develop agendas based on client use cases and customer needs, using documentation provided by Cloud Space team. Gather required logistical information from sales teams (e.g. dietary restrictions, headcount, room setup needs) and communicate to the appropriate site teams. Source and align an appropriate speaker to each agenda topic. Conduct speaker preparation calls and know before you go calls to ensure speakers and sales teams are aligned and ready for the engagement. Confirm that each speaker has relevant talking points and content ready to go Update agendas in Cloud Space tool to ensure sessions are properly tracked; and Leverage templates to create and share meeting slide content (e.g. meeting slide deck) using templates. Ensure smooth execution during client engagements. Send post-event surveys and document insights shared by account teams Track and report performance metrics. Collaborate with various departments to ensure engagement success, from on-site teams for day-of experience (catering, reception, events, AV, demos) to product/technical teams for session content. Complete necessary trainings if processes are updated or new product training is required

Responsibilities: ● Import and export data ● Ensure logical and meaningful extraction of webpage content ● Deliver high quality extraction consistently and accurately Minimum Qualifications: ● Native or professional fluency in English & Dutch ● Must be able to perform tasks quickly and accurately ● At least two years of undergraduate education ● Excellent communication skills (both written & oral) ● Great eye for detail and highly motivated ● Excellent time management skills ● Excellent technical and computer skills Chrome OS GSuite softwares (i.e. Google doc/sheet/slide) ● Fundamental understanding of grammar/spelling Preferred Qualifications: ● Fluency in a second language ● Knowledge of Google Adwords/Ad products is a plus ● Experience in data entry/curation/extraction ● Experience with technical writing Schedule Requirements: ● Weekday only, with the rare occasion of Holidays ● Must be able to work on PST schedule (start no earlier than 7 am, end no later than 5:30 pm) ● You may be asked to work outside of your core hours due to business necessity This role offers: ● Full Time (40 hrs/week), hourly ● Paid Sick Time, holidays, parenting leave ● Health benefits with low premiums ● Access to a comprehensive well-being program with resources to support physical and mental health: Employee Assistance Program, Live and recorded meditation, Yoga, Webinars, Events, Resilience skill building, and more. Desired Skills and Experience Responsibilities: ● Import and export data ● Ensure logical and meaningful extraction of webpage content ● Deliver high quality extraction consistently and accurately Minimum Qualifications: ● Native or professional fluency in English & Dutch ● Must be able to perform tasks quickly and accurately ● At least two years of undergraduate education ● Excellent communication skills (both written & oral) ● Great eye for detail and highly motivated ● Excellent time management skills ● Excellent technical and computer skills Chrome OS GSuite softwares (i.e. Google doc/sheet/slide) ● Fundamental understanding of grammar/spelling Preferred Qualifications: ● Fluency in a second language ● Knowledge of Google Adwords/Ad products is a plus ● Experience in data entry/curation/extraction ● Experience with technical writing Schedule Requirements: ● Weekday only, with the rare occasion of Holidays ● Must be able to work on PST schedule (start no earlier than 7 am, end no later than 5:30 pm) ● You may be asked to work outside of your core hours due to business necessity This role offers: ● Full Time (40 hrs/week), hourly ● Paid Sick Time, PTO (Texas Residents), holidays, parenting leave ● Health benefits with low premiums ● Access to a comprehensive well-being program with resources to support physical and mental health: Employee Assistance Program, Live and recorded meditation, Yoga, Webinars, Events, Resilience skill building, and more.

Carmel Partners, one of the nation's leading specialists in real estate investment management, with expertise in the investment, development, and construction of multi-family real estate, is seeking an Analyst, Data Science and Research in our San Francisco Office. The Analyst, Data Science and Research will be an integral member of the Data Science & Research team supporting the company's investment strategy and advanced analytics efforts. In this role, you will contribute to the design, development, and implementation of a value-added, data-centric investment framework, leveraging techniques spanning machine learning, spatial analytics, and causal modeling, while capitalizing on new opportunities being enabled by recent advances in large language models (LLMs). Additionally, you will conduct research & development to explore and implement innovative analytical technologies and methodologies. A place for you Here at Carmel, we don't just invest in buildings, we invest in careers. If you don't meet all of the qualifications listed for this role, we encourage you to monitor our career page for upcoming opportunities. We're committed to assembling diverse teams with exceptional talent, and we strongly encourage individuals from a wide range of backgrounds to apply. Everyone's career journey is unique, so let's explore how you could be a great fit for our team! What you'll do * Contribute to the development and deployment of advanced, predictive analytics real estate models, including rent growth and asset valuation at the market and neighborhood level * Evaluate and leverage potentially innovative datasets that can strengthen the company's proprietary modeling frameworks * Conduct Research & Development efforts to derive concrete value from new analytical technologies (including causal ML, generative AI, and advanced GIS tools) and new alternative datasets * Leverage cloud computing frameworks to develop and deploy algorithms that scale efficiently and deliver value-added insights for real-time investment decisions * Conduct advanced geospatial analytics and translate granular results into actionable visualizations via interactive mapping frameworks to help shape the company's investment strategy Who you are * Deep intellectual curiosity and the desire to apply excellent technical skills to drive value and shape investment strategy * Excellent organization and time management skills - able to manage and execute multiple quantitative projects simultaneously * Values relationships - thrives in a collaborative team setting as well as working independently * Demonstrates impeccable integrity and dependable judgement What you'll bring * Bachelor's degree in data science, Computer Science, Applied Math, or a related quantitative discipline * Experience in conducting applied data analytics at the enterprise level (1-2 years) * Excellent proficiency in the core data science stack, including functional combinations of Python, R, cloud frameworks (Databricks/Azure/AWS), core analytics and spatial packages (e.g., sklearn, PySAL, geopandas, sf, dplyr, etc.) * Experience in conducting applied data analytics at the enterprise or academic level (1-2 years) * Strong data visualization skills (e.g., Tableau, PowerBI, Streamlit, Plotly, ggplot, ArcGIS) * Excellent analytical skills, with the highest level of attention to detail Compensation and Benefits * Compensation and benefits play a key role in your choice of employer, and our goal is to invest in you and your experience here. You'll find a competitive compensation and comprehensive benefits package at Carmel. * Base salary range for this position is $100K to $120K. The Company provides this compensation range and general description of other compensation and benefits that in good faith, believes it might pay and/or offer for this position. Total compensation for this role also includes a bonus incentive in addition to the base salary. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law. Choose Carmel At Carmel Partners, our mission is to create exceptional multifamily communities that enrich lives and neighborhoods. Founded in 1996, Carmel is one of the nation's leading specialists in real estate investment management, focusing on U.S. multifamily development and construction, renovation, and debt investments. Through its vertically integrated platform, Carmel seeks to achieve superior risk-adjusted returns across varying market cycles by investing in relatively supply-constrained, high barrier-to-entry markets in the United States. Carmel Partners is an Equal Opportunity Employer, committed to providing employees with a work environment free of discrimination and harassment. Employment decisions are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, gender, gender identity, gender expression, sexual orientation, pregnancy and reproductive decisions, family or parental status, national origin, age, disability, veteran status, or any other status protected under local, state, or federal laws. We are committed to equitable hiring and promotion practices. We lead with integrity and believe in building a diverse and inclusive workplace, rooted in a culture of mutual respect. By welcoming varied backgrounds, perspectives, and ideas, we cultivate engagement and a sense of belonging that creates community within, so Carmel can build communities that thrive. Notice to Third-party Agencies: Carmel Partners does not have any standing offers to pay any referral compensation or recruitment fees for any open positions. Unless there is a signed agreement providing otherwise, Carmel Partners will not pay any compensation to any employment firm, staffing agency, recruiter, or other third party for any resumes or candidate profiles that are provided, even if the individual is hired by Carmel Partners. In the event a recruiter or third-party agency/firm submits a resume or candidate profile without a signed active agreement, Carmel Partners explicitly reserves the right to pursue, and hire said candidate without any notice or financial obligation to the recruiter or agency/firm. Carmel Partners reserves the right to retain, use, transfer and distribute any resumes and candidate profiles that are submitted, including those submitted to hiring managers.

Applications are accepted until further notice. Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Who You'll Work With You will work across functions with the Customer Experience, Sales, Marketing, and IT organizations, playing a leadership role in transforming Cisco by developing and implementing analytic models and intelligent automation to drive us toward a data-driven digital organization. Digital Lifecycle Journey's (DLJ) digital expertise makes us uniquely qualified to address the evolving expectations of today's connected customers and partners, along with Cisco sellers. Using real-time connected data, machine learning, and automation; the team enables Cisco sellers and partners to deliver a powerful, personalized experience-throughout the entire customer lifecycle. Digital Lifecycle Journey is focused on providing customers with an immersive digital experience with Cisco. This in turn drives improvements in recurring revenue, cost savings and sales effectiveness for Cisco and its partners. What You'll Do * Identify, analyze, and interpret trends or patterns in sophisticated data sets using statistical technique and provide ongoing reports and dashboards. * Collaborate with business and IT teams to understand the different persona specific-use cases, the related business insight, consolidate use cases across persona and drive a common approach towards solving multiple use cases. * Partner and lead multi-functional teams to realize data relationships through proper threading. * Define data privacy and protection processes required and implement systems and workflows that reinforce security. * Assess the efficiency and accuracy of new data sources and data gathering techniques * Data Analysts are passionate about turning complex data into information, information into insight, and insight into business decisions. They connect with data scientists, engineers, product managers, and executives and deliver high quality analytics insights with the ability to derive actions that can be integrated into different workflows. Who You Are You are a data-savvy analyst with a solid grasp of statistics and a talent for transforming complex data sets into clear visual narratives. You excel at meticulous data cleaning and analysis with an ability to communicate insights effectively to stakeholders. With an eye for detail and a solid understanding of business context, you're a problem-solver who thrives in collaborative environments. You collaborate effectively with cross-functional teams. You're committed to continuous learning, with insights of the latest trends and tools in data analytics to drive strategic decisions. Minimum Qualifications * Including but not limited to a graduate/upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community college or 4-year University. * Open to 0-3 years of relevant experience or recent graduate or those in the final year of a Bachelor's or Master's in Engineering, Computer Science, Data Science, Statistics, a related program, or holders of equivalent academic certifications. * Python, Python libraries, and R with proficiency in statistical analysis and data visualization * Strong mathematical skills * Able to legally live and work in the country for which you are applying, without visa support or sponsorship Preferred Qualifications * Experience with big-data platforms (Hadoop, Spark) * Familiarity with programming languages such as Java, Scala, or C++ * Exposure to Machine Learning * Knowledge of Cloud Computing Platforms (AWS, Google Cloud, Microsoft Azure) Why Cisco #WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all. We embrace digital, and help our customers implement change in their digital businesses. Some may think we're "old" (40 years strong) and only about hardware, but we're also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do - you can't put us in a box! But "Digital Transformation" is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.) Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward. So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! Message to applicants applying to work in the U.S. and/or Canada: When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

2025 Summer Intern - Data Strategy and Delivery, Data Standards and Governance Data Strategy and Delivery (DSD) is the end-to-end clinical data business within Product Development Data Sciences and includes ~350 internal data experts and ~650 external CRO headcount. DSD colleagues are evenly distributed across Basel, Mississauga, SSF, & Welwyn plus ~25 China colleagues. DSDs primary impact is the delivery of FAIR & quality clinical data from over >300 clinical trials from early to late development & Med. Affairs. DSD has a large secondary data business, creating complex data marts, sharing clinical data for research purposes, and acquiring & hosting external patient data. DSD invests in industry-leading data standards, systems, tools and processes to drive efficiency and quality and to encourage data re-use. This internship position is located in South San Francisco, on site. The Opportunity Collaborate with peers within the function and across the organization to identify, design and execute fit-for-purpose solutions to ensure a high quality of data and compliance with applicable pharma industry regulations and standards Assist in advising teams and stakeholders on best practices and proposing innovative solutions with regard to the collection of new data types (e.g., emerging biomarkers), new technologies (e.g., sensors), and new data sources (e.g., Real World Data, Electronic Health Records) Proactively engage with stakeholders across PD Data Sciences and beyond to understand their needs and enhance their understanding of our processes Support study teams in the adoption of global biomedical data standards Contribute to functional, cross-functional, enterprise-wide or external initiatives that shape our future landscape Adopt innovative solutions (e.g., AI) in the development of new data standards including industry-aligned biomedical concepts to enable end-to-end connectivity from protocol to regulatory submission Program Highlights Intensive 12 months full-time (40 hours per week) paid internship. Program start dates are in May/June (Summer) A stipend, based on location, will be provided to help alleviate costs associated with the internship. Ownership of challenging and impactful business-critical projects. Work with some of the most talented people in the biotechnology industry. Who You Are Required Education You meet one of the following criteria: Must be pursuing a Master's Degree (enrolled student). Minimum required experience Strong collaboration and excellent communication skills, both written and oral; proficiency in English required Project Management skills Able to manage multiple requests and priorities Demonstrated leadership capabilities around decision-making, negotiation, motivation (self and others) and influencing Required Majors: BS & MS: Undergraduates who have completed at least one year of undergraduate coursework at a university, current graduate students pursuing a Masters or recent grads (BS or MS within two years) Preferred Knowledge, Skills, and Qualifications Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. Demonstrated entrepreneurial mindset and self-direction, ability to mentor others and willingness to learn new techniques Knowledge of biological principles, display interest and demonstrate scientific curiosity including an understanding of data types and their scientific use (e.g., clinical, biomarker, RNA-sequencing) Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location of California is $45.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits. #GNE-R&D-Interns-2025 Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.

Rapidly Growing Life Sciences Technology Company Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. We are looking for a highly motivated Intern to join our Software Integration team! We are a software integration team managing and supporting software in a high-tech, fast-paced, R&D environment. We ensure the efficient operations of data analysis environments and provide software product support to internal teams. Our internship program offers real-life, hands-on biotech analytics experience, coaching and mentoring, and networking opportunities. Experience what it's like to work in a company that is developing ground-breaking genomics technology and products that will transform the future of medical and life sciences. This internship also offers graduates priority consideration for full-time hires in 2026. How You'll Contribute Work in a fast-paced cross-functional, technologically advanced corporate environment in an internship program focused on developing individual engineers capable of pursuing careers in biotech Develop and automate solutions for troubleshooting and diagnosing software issues Collaborate with internal software and bioinformatics teams to recommend solutions and improvements Qualifications, Skills, Knowledge & Abilities Currently a student in an accredited degree program pursuing a bachelor's or master's degree in Computer Science, Engineering, or Physics At least 1 year of programming experience At least 1 year of experience with shell scripting and working in a Linux-based environment Have an overall cumulative GPA of 3.00 or higher Ability to work onsite, work full-time (40 hours per week) for at least 8 weeks during summer 2025 Self-motivated, detail-oriented, willing to learn, and interested in working in a team environment Great work ethic and an enthusiasm for problem-solving Good presentation, writing and communication skills Strong organizational and analytical skills What to include when you apply: Cover letter should include: Description of your relevant experience and qualifications List your availability for the internship (start date and end date) Expected graduation year How you found out about the internship Resume (PDF) Unofficial academic transcripts A project portfolio, GitHub repository, or sample work of any kind, if possible At Ultima Genomics, this internship pays between $30 and $36 per hour, and your hourly rate will depend on your skills, qualifications, experience, and location. Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics' EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting ************************.

The San Francisco Chronicle is looking for a summer intern to join our Data team, which develops quick-turn, graphics-focused stories, interactive projects and data-driven deep dives. This intern will receive training and mentoring and will hit the ground running, covering a variety of topics from the office and in the field. There will be opportunities to pursue projects aimed at engaging our audience and to work closely with reporting teams throughout the newsroom. The successful candidate will work quickly but responsibly on data stories that help readers understand and explore their communities through unique reporting, data analysis and interactive graphics creation. This paid 12-week internship typically lasts from June to August. What the data reporter will do: Report and write graphics- and data-driven articles for our digital and print editions. Conceive story ideas and work with editors and developers to enhance our storytelling. Collaborate with newsroom reporters to produce unique, high-impact journalism. Create assets to help promote and distribute the team's work. What it will take to be successful: Strong news judgment, creativity and meticulousness. A dedication to organization and documentation. Desire and ability to learn on the job. Ability to report stories and write and build quickly while keeping the strictest commitment to fairness and accuracy. Ability to work with multiple, large datasets, preferably using Python, R or similar coding languages. Knowledge of current multimedia storytelling and desire to experiment with new ways of engaging readers. Ability to collaborate with all newsroom teams and work in a fast-changing news environment. Plus: Web development or data visualization experience. Plus: Mapping or GIS skills. Requirements: This position will be full time, based in the Bay Area for summer 2024. Weekend, evening and holiday work may be required as news warrants. All college students, including community college students or students who will have recently completed their associate or bachelor's degree, are encouraged to apply. Applications are due by Friday, Oct. 25, 2024. About The San Francisco Chronicle and SFChronicle.com: The San Francisco Chronicle (******************** is the largest newspaper in Northern California and the second largest on the West Coast. Acquired by Hearst Corp. in 2000, the San Francisco Chronicle was founded in 1865 by Charles and Michael de Young and has been awarded six Pulitzer Prizes for journalistic excellence. Our award-winning journalists provide insight into the people and events shaping the Bay Area, investigate wrongdoing and waste, and deliver the quickest and most reliable coverage of breaking news in Northern California. Join our team!

KIOXIA America, Inc. is the U.S.-based subsidiary of KIOXIA Corporation, a leading worldwide supplier of flash memory and solid state drives (SSDs). From the invention of flash memory to today's breakthrough BiCS FLASH™ 3D flash memory technology, KIOXIA continues to pioneer innovative memory, SSD and software solutions that enrich people's lives and expand society's horizons. The company's innovative BiCS FLASH™ 3D flash memory technology is shaping the future of storage in high-density applications, including advanced smartphones, PCs, SSDs, automotive, and data centers. Job Description We are looking for a highly motivated and person to help improve the efficiency of our internal business data processes. Our company works with various data sources, some of which require integration, cleaning, and preparation before analysis. In this role, you will help design and implement a reporting infrastructure that is easy to use, error-proof, and largely automated. This is a great opportunity for a student with a data analysis and business analytics background who is eager to work on real-world business problems. You will play a critical role in setting up a data preparation process that automates data cleaning, mapping, and operations, ensuring more efficient decision-making across the company. Key Responsibilities Work with multiple internal data sources to structure, clean, and integrate data for analysis. Develop automated processes to handle data preparation and reduce manual efforts. Write SQL queries and/or use programming skills (Python, R, etc.) to manage and process data. Collaborate with teams in demand planning, finance, pricing, logistics, and IT to understand business needs and ensure data consistency. Support the creation of dashboards and reports that provide clear, actionable insights. Identify opportunities to streamline data workflows and improve overall efficiency. Regularly report progress to management, providing updates on data integration, automation, and insights. Qualifications Major in Business, Data Science, Statistics, Operations Management, or a related field. Prior internship/corporate experience Experience with SQL and data querying; programming skills (Python, R, or similar) are a plus. Proficiency in data visualization tools (e.g., Tableau, Power BI, or Looker). Familiarity with ERP, CRM, or other operational tools is an advantage. Strong understanding of data analytics, database design, and business intelligence. Familiarity with data cleaning, transformation, and visualization tools. Experience in data analysis, business analytics, or a similar role. Experience with operational processes, workflows, or supply chain management is a plus. Strong problem-solving and critical-thinking abilities. Collaborative and detail-oriented mindset. Excellent communication skills for presenting insights to both technical and non-technical audiences. Additional Information Req# i-0048; #LI-MB1 The expected salary for this position is $30 - $35/hour. At KIOXIA, we value the following: Investment in you Offering opportunities for career growth and personal development training Open-minded management Empowering employees by listening and responding to ideas, issues, and approaches Flexible work-life balance Offering a generous PTO allotment, holiday shutdown, and flexible work options Diversity of cultures, perspectives, backgrounds and experiences of all our team members Through our diversity, equity and inclusion initiatives, our focus is to strengthen our company culture to create more inclusion and belonging for all Benefits for our team members Excellent medical and non-medical benefits, 401(k) matching, pet insurance KIOXIA America, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

As a Data Analyst Intern, you will be responsible for collecting, organizing, and analyzing large datasets to derive meaningful insights and provide strategic recommendations to our investment team. You will work closely with senior analysts and investment professionals to identify trends, evaluate market opportunities, and assess the performance of potential and existing investments. This internship will provide a unique opportunity to learn about the venture capital and private equity industry while developing foundational skills in data analysis and investment evaluation. Responsibilities Collect, clean, and organize large datasets for analysis Perform quantitative and qualitative analysis to identify trends and patterns Support investment team in evaluating potential investment opportunities Assist with financial modeling and forecasting Conduct market research to identify industry trends and competitive landscapes Create and maintain databases and analytical tools Prepare reports and presentations for senior management and investors Requirements Strong analytical and problem-solving skills Proficiency in Excel and data analysis tools such as Python or R Excellent attention to detail and ability to work with large datasets Strong verbal and written communication skills Ability to work independently and within a team Self-motivated and eager to learn about venture capital and private equity

The Data Analyst III in the Research and Development (R&D) group at Align works closely with our cross-functional teams in IT, software, marketing, clinical, and operation teams. This individual will work on Aligns digital clinical database to develop and deliver data-driven insights, metrics, and recommendations to assist teams to drive the company's product development roadmap and transform the orthodontic world with the Invisalign product. * Apply advanced data analytics to derive insights from production data and clinical studies and contribute to product development projects * Work on full-stack data analysis: Defining problems, data collection through SQL queries, data cleaning & wrangling, exploratory & confirmatory analyses, data visualization and storytelling * Responsible for constructing technical hypotheses, performing statistical analyses, and interpreting analysis results to support data-driven decision making for product development * Identify key insights from analytical results, prepare well-documented reports/presentations and share with internal/external stakeholders * Work collaboratively and independently in the design, analysis, and interpretation of prospective and retrospective clinical studies * Participate in the review and update of bench-top testing best practice methodologies, including design of experiment, and statistical significance of results in support of product research team * Develop a comprehensive understanding of the Invisalign products and operational procedures * Provide product/clinical analytics expertise within the R&D group, including product engineering, materials, software, and clinical research teams * Build effective working relationships with management and connect with diverse cross-functional teams both locally and globally * Work efficiently in a fast-paced environment to meet critical deadlines and priority changes