Top Analytics Jobs in San Francisco Bay Area, CA

Analyzes large datasets to identify insights supporting mergers, acquisitions, diligence, and value creation decisions. Develops data models, dashboards, visualizations, and statistical or predictive analyses; cleanses and validates data; uses Python, SQL, Alteryx, Power BI, or Tableau; researches client and market information; documents findings; and collaborates with senior team members on project deliverables.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Quantitative master’s interns develop financial engineering solutions, quantitative models, and analytics for BlackRock’s Aladdin platform. Responsibilities include Python-based technical development, data-driven insights, financial risk modeling, and collaboration with investment and client teams. Interns gain experience across financial markets, investment products, quantitative research, technology, and the Aladdin ecosystem.

Provides analytics and strategic advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, dashboards, and predictive models using Python and machine learning. Collaborates with clients and internal teams, validates data integrity and security, mentors junior staff, and delivers data-driven recommendations.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

Leads business analytics strategy, data infrastructure, product analytics, measurement frameworks, experimentation, and data-driven strategy for AI-powered customer assistance channels. Connects customer experience and operational efficiency outcomes while partnering with Product, Technology, Operations, and Finance. Manages and develops analysts, oversees concurrent projects, builds business requirements, and drives executive-level decisions supporting growth, profitability, and service improvements.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Leads risk and fraud analytics covering loss attribution, fraud investigations, recovery strategy, loss forecasting, merchant collateral sizing, and return-rate monitoring. Produces monthly loss reporting and merchant scorecards, evaluates proposed risk rule impacts, forecasts portfolio losses, explains variance, and presents recommendations to risk, finance, commercial, and compliance stakeholders. Manages analysts and guides data-driven decisions across payments risk portfolios.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; surface insights; make recommendations; and drive decisions and outcomes with cross-functional leaders. The role requires strong analytical problem-solving, independent data interpretation, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a core business area such as growth, product, AI, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leadership teams. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Lead data-driven analysis and business operations initiatives across marketing, product, and business development. Design and evaluate A/B experiments, identify acquisition and partnership growth levers, generate customer and performance insights, and automate manual processes. The role requires strong quantitative problem-solving, advanced SQL and data analysis skills, and the ability to communicate recommendations effectively from frontline teams to executives.

Develops and scales forecasting models, tools, and analytical processes using complex pharmaceutical datasets. Designs, codes, and prototypes analytical logic; synthesizes claims, EMR, sales, CRM, market research, and competitive data; ensures data quality and compliance; and visualizes model outputs. Partners with product, data science, engineering, and business teams to implement machine learning and statistical methods, translate business questions into recommendations, and influence senior stakeholder decisions.

Leads analytics strategy for Faire’s Discovery pillar, informing search, recommendations, ads, and marketplace decisions. Builds and manages a high-performing strategy and analytics team, establishes analytical rigor and experimentation standards, owns key metrics and datasets, and develops self-serve data tooling and operating systems. Partners cross-functionally to identify opportunities, improve decision-making, and scale analytics practices across the company.

Leads and develops a team of 4–6 analysts delivering customer reporting and analytics. Owns portfolio delivery, analytical quality, methodology, dashboards, client presentations, and complex hands-on analyses. Partners with Customer Success, Product, and Engineering to shape measurement products and roadmap priorities. Establishes scalable analytics standards, reusable systems, and AI-enabled workflows while managing customer relationships and escalations.

Develops and delivers workforce analytics, scorecards, dashboards, and reports supporting human capital management decisions. Provides real-time and forecasted workforce data for planning and business outcomes. Applies data analysis, visualization, forecasting, and modeling to influence organizational decisions, with responsibility for creative problem-solving and analytical delivery.

Leads eCommerce marketing analytics and customer acquisition strategy across paid search, social, display, and affiliate channels. Translates complex data into recommendations for investment, attribution, forecasting, and channel performance. Oversees dashboards, experimentation, statistical analysis, bidding models, and scalable reporting infrastructure while partnering with marketing, data science, engineering, and senior leadership. Manages and mentors analysts and drives end-to-end analytical initiatives that improve profitability, customer experience, and marketing efficiency.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Leads publishing analytics for PlayStation games, covering social listening, creator analytics, marketing mix modeling, incrementality, experimentation, attribution, and campaign decision support. Integrates multi-channel marketing, audience, product, sales, and finance data to guide investment and publishing strategy. Builds executive-ready dashboards, presentations, and recommendations; manages complex analytics programs and stakeholder relationships; and partners with engineering and AI teams to operationalize scalable marketing data foundations.

Own advanced analytics for Airbnb product teams, using large datasets, statistical modeling, experimentation, causal methods, forecasting, and metrics development to guide product and business decisions. Build reporting and analytical tools, collaborate cross-functionally, automate repetitive work with AI, and present actionable insights to senior stakeholders. The role supports Guest App or API initiatives, including promotions and marketplace optimization.