Top Analytics Manager Jobs in San Francisco, CA

Lead a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

Build and maintain people-data pipelines, analytical datasets, metric definitions, dashboards, and self-service data products. Conduct statistical analysis, forecasting, experimentation, segmentation, and predictive modeling to address workforce questions such as attrition, capacity, performance, and productivity. Translate findings into actionable recommendations for leaders while establishing standards for data quality, privacy, documentation, governance, and responsible AI use. Partner across People, Finance, HR Tech, and data teams to shape the analytics roadmap and improve adoption of trusted workforce insights.

Analyzes paid media performance across the full funnel, connecting spend and platform metrics to applications, enrollment, student lifetime value, and ROAS. Builds attribution frameworks, Databricks data pipelines, Power BI dashboards, semantic models, and advanced DAX reporting. Supports marketing mix modeling, experimentation, web analytics data quality, forecasting, governance, and workflow automation. Translates complex analytics into strategic recommendations for executive and cross-functional stakeholders.

Leads marketing analytics and end-to-end measurement across growth marketing, including campaign reporting, attribution, ROI, CAC, LTV, forecasting, experimentation, and budget analysis. Builds dashboards and reporting infrastructure using Salesforce, Tableau, and related platforms; improves data quality, automation, and predictive insights with AI and machine learning. Partners with Marketing, Finance, RevOps, and Business Intelligence teams to connect spend to pipeline and revenue and support executive decision-making.

Lead identification and quantification of issuance leakage across acquisition, application, approval, and funding funnels. Analyze digital customer journeys and conversion gaps, run root-cause diagnostics, design experiments, build executive dashboards, and translate findings into prioritized, quantified business recommendations partnering with Product, Marketing, Credit Risk, Operations, and Engineering.

Leads operational analytics for the Take 5 Oil Change network, translating transactional and market data into insights that improve sales, profits, volume, and shop performance. Responsibilities include complex analysis, KPI reporting, dashboards, executive presentations, operational initiative measurement, stakeholder collaboration, data-quality improvement, and mentoring analysts. The role requires strong Excel, SQL, financial modeling, communication, and multi-shop operations experience.

Lead product vision and roadmap for data and analytics products (ML, generative AI, data pipelines, BI). Translate business needs into developer-ready features, maintain backlog, collaborate with engineering and stakeholders, track KPIs, and drive adoption and continuous improvement.

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.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.

The Senior Manager of Risk Analytics will lead credit risk strategies, manage portfolio performance, optimize decisioning frameworks, and drive business growth through analytics and predictive modeling.

Manages Finance analytics engineering and automation, building governed Snowflake and SQL data products, consumption layers, reconciliations, controls, workflows, and integrations. Partners with FP&A, Data Engineering, and business teams to translate Finance requirements into reliable technical solutions. Leads lineage analysis, testing, monitoring, documentation, AI-assisted workflows, production support, and team development while maintaining clear ownership between Finance and enterprise data teams.

Lead revenue operations and analytics to ensure accurate reporting, scalable systems, and cross-functional execution. Build executive dashboards, drive revenue planning and forecasting, optimize CRM and reporting tools, manage sales compensation and GTM processes, and lead initiatives to improve conversion, reduce timelines, and support executive decision-making.

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.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.

Leads consultative sales of research and analytics solutions to academic institutions across the United States. Responsibilities include meeting sales targets, developing pipelines, expanding existing accounts, acquiring new business, designing value-added solutions, presenting to senior stakeholders, forecasting, negotiating, and collaborating with account managers and cross-functional teams. The role is remote with travel of up to 50% within the United States.

Lead marketing strategy, analytics, and GTM operations for Twilio.org’s Social Impact team. Build investment proposals, ROI models, attribution frameworks, account-tiering logic, automated marketing triggers, executive scorecards, and pipeline-generation programs. Partner with marketing and data science leaders to optimize budgets, campaigns, routing, and commercial performance. Maintain Looker, Tableau, Salesforce, and analytics infrastructure while modernizing SQL-based reporting and data quality processes.

Leads an analytics engineering team supporting Core Data Science by building reliable data foundations, tooling, analysis pipelines, and self-service datasets. Establishes instrumentation, experimentation, documentation, data quality, and democratization practices. Partners with data scientists, engineers, product managers, designers, and researchers to turn insights into product impact. Requires expertise in large-scale data manipulation, SQL, Python or R, ETL/ELT, workflow orchestration, and AI-assisted analysis, along with engineering management experience.

Leads analytics for SEO, AI search, website experience, CRO, and the organic enrollment funnel. Diagnoses performance across traffic, visibility, conversions, leads, applications, and enrollments; designs measurement approaches; reconciles web, search, CRM, and platform data; defines KPI and reporting requirements; and translates findings into executive recommendations. Partners with analytics and engineering teams to build scalable Databricks-based reporting and improve measurement of organic and AEO initiatives.

Own and build the AI Simulation marketing operations and analytics function, including martech architecture, campaign instrumentation, attribution, funnel reporting, lifecycle programs, lead scoring, data governance, and Salesforce integrations. Partner with Marketing, RevOps, Sales, Finance, and Product to establish trusted measurement, connect marketing activity to pipeline and revenue, and improve investment decisions through reporting and actionable insights.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Build Baseten’s marketing analytics foundation, including data models, dashboards, segmentation, lifecycle measurement, attribution, experimentation, and conversion optimization. Integrate CRM, advertising, web, email, product, and revenue data to connect customer journeys and enable data-driven marketing decisions. Partner with Demand Gen, Field Marketing, Marketing Operations, Product Marketing, GTM, Finance, Product, and Engineering.

Leads multiple pharmaceutical analytics consulting engagements from planning through delivery. Manages project teams, budgets, risks, analytical quality, and senior client relationships. Oversees forecasting, commercial analytics, market access analytics, financial modeling, and scenario simulation. Presents insights and strategic recommendations to executive stakeholders, identifies account growth opportunities, mentors consultants, and contributes to analytical methodologies, tools, intellectual property, and service development.

Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

Own the roadmap and product direction for the data platform, analytics, data science tooling, and AI-driven workflows. The role involves stakeholder discovery, prioritization, product specifications, KPI definition, build-versus-buy decisions, data integration standards, prototyping, and driving agentic tools from proof of concept to production. The Technical Product Manager will bring structure to ambiguous initiatives, align technical and business stakeholders, and establish supported, scalable software practices.