Top Analytics Manager Jobs in San Francisco, CA

Lead end-to-end analytical initiatives on partner enrollment funnels, ensure data quality, build reporting pipelines with BI/engineering, use AI-assisted tools to accelerate analysis, translate insights into strategic recommendations for leadership, and coach growing analytics team members.

Leads and develops an engineering team responsible for Sentry’s Events Analytics Platform. Sets technical and strategic direction, drives distributed data platform architecture, scales analytical querying and storage, ensures reliability, supports AI workloads, and partners cross-functionally. The role includes mentoring, performance management, incident leadership, postmortems, and fostering operational excellence and an inclusive team culture.

Own Carrum Health’s dbt data mart, semantic layer, client-facing exports, and data reliability standards. Lead, coach, and hire analytics engineers while establishing testing, documentation, freshness monitoring, metadata, and governance practices. Develop Hex as a trusted self-service analytics and AI interface with PHI controls, support the Databricks migration, and translate business needs into prioritized technical work. The role requires hands-on coding, strong dbt expertise, cloud data warehousing experience, and operational data ownership.

Lead and manage a remote analytics engineering team responsible for Extend’s Snowflake warehouse, dbt repository, ingestion pipelines, data models, monitoring, and quality standards. Oversee hiring and development, architecture, platform migrations, reliability, incident response, documentation, and self-service analytics. Partner with actuarial, risk, fraud, product, finance, and operations teams to establish trusted shared data definitions and prioritize platform improvements.

Leads digital and marketing analytics for customer acquisition across multiple lending brands. Owns performance reporting, measurement frameworks, data governance, attribution and marketing effectiveness models, funnel analytics, experimentation, dashboards, and executive insights. Partners with Marketing, Risk, Finance, Operations, Technology, Engineering, and Data teams to optimize conversion, ROI, customer journeys, and data infrastructure. Requires advanced SQL, web analytics, statistical analysis, experimentation, and marketing measurement expertise.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Manage a global analytics team supporting Financial Operations through KPI design, Tableau dashboards, predictive modeling, ad hoc analysis, reporting automation, and AI-enabled insights. Lead data initiative projects, prioritize analytics requests, improve workflows, ensure financial data privacy, and partner with technology teams. Mentor analysts, train business stakeholders, and guide AI tool quality and adoption. The role requires strong SQL, analytics, project management, and cross-functional leadership skills.

Leads global forecasting and market research for CAR-T cell therapy commercialization. Builds evidence-based forecasting models, conducts scenario analyses, manages qualitative and quantitative research with physicians, patients, and payers, and integrates competitive intelligence into strategic recommendations. Partners cross-functionally with commercial, marketing, R&D, finance, and business development stakeholders to inform product strategy, lifecycle management, demand planning, brand planning, and opportunity assessments.

Leads the strategy, roadmap, execution, and optimization of forecasting and AI data products. Manages product backlogs, stakeholder demand, data quality frameworks, governance, architecture, adoption, and performance. Partners with data scientists, engineers, business leaders, Legal, Compliance, and Privacy teams to deliver scalable, compliant solutions. Guides data architecture and build-versus-buy decisions while driving measurable business value and mentoring agile squads.

Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.

Serves as a strategic analytics partner to Marketing, owning funnel, attribution, ROI, account scoring, experimentation, and pipeline analytics. Builds scalable datasets, dashboards, and quality controls while connecting customer, campaign, product usage, CRM, and revenue data. Delivers executive-ready reporting, QBR insights, and recommendations that improve conversion, marketing investment effectiveness, account-based marketing, product adoption, and pipeline growth.

Owns the health of a multi-client digital tracking ecosystem across 100+ properties. Responsibilities include managing Piwik PRO and Google Tag Manager configurations, deploying pixels and telemetry updates, monitoring and debugging conversion events, validating implementations with browser tools and APIs, supporting technical client onboarding, managing consent and UTM governance, documenting configurations, and coordinating technical escalations. The role also explains tracking behavior to nontechnical teams and improves automation and monitoring processes.

Own the global sales incentive compensation platform, including configuration, data flows, governance, reporting, audits, and payout readiness. Manage compensation data, plan delivery, quarterly business reviews, dashboards, and executive insights. Partner cross-functionally with Sales Operations, Finance, Payroll, Data Engineering, and Revenue Accounting. Lead strategic projects, improve controls and processes, validate complex calculations, and ensure accurate, timely compensation plan administration at scale.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.

Lead a team delivering marketing analytics and consulting: marketing mix modeling, multi-channel attribution, digital analytics, pricing/promotion, demand forecasting, and client presentations. Heavily travel-focused role (80–100%).

Manage and deploy brand media strategies across digital and offline channels to enhance brand visibility and support growth marketing. Collaborate cross-functionally to analyze investments' impact on growth metrics, and optimize media allocation while guiding agency partners for effective execution.

Leads multistate payroll, payroll tax, benefits, retirement plans, leave administration, people analytics, and HR systems. Partners with Finance, vendors, and senior leaders to ensure compliance, accurate workforce data, effective benefits programs, reliable reporting, and scalable People operations. Owns Rippling administration, payroll controls, audits, employee communications, workforce modeling, and process improvements.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Own client-facing analytics strategy and implementation across GA4, Adobe Analytics, tagging, measurement frameworks, dashboards, experimentation, and GEO measurement. Audit and QA analytics implementations, define KPIs, evaluate incrementality and causal relationships, present executive-ready insights, and collaborate with SEO, paid media, creative, data, engineering, and client teams. Build AI-assisted workflows, automations, scalable tools, and dashboards while mentoring teammates and managing multiple client workstreams.

Own the strategy, roadmap, and delivery of RevenueCat’s analytics products, including charts, benchmarking, dashboards, and predictive LTV. Investigate complex data issues, develop metrics and benchmarks, define product vision, and collaborate with engineering, data science, design, leadership, and go-to-market teams. The role requires strong product management experience, analytical and technical fluency, customer empathy, data visualization expertise, and the ability to make independent product decisions in a remote environment.

Lead and transform the Sales Analytics team by rebuilding a scalable sales data foundation, delivering advanced forecasting and causal analyses, enabling AI-driven self-serve analytics, and partnering with revenue, data engineering, and operations to drive strategic, revenue-focused insights. Recruit, mentor, and raise team analytical rigor while executing remediation of technical debt.