Top Analytics Manager Jobs in San Francisco, CA

Lead the strategy and governance for GTM analytics across pre-sales, post-sales, solutions engineering, forward-deployed engineering, and professional services. Establish trusted source-of-truth metrics, data models, semantic layers, self-service analytics, and AI-assisted querying. Partner with Data, Finance, Sales, and Services leaders to resolve metric definitions, improve data access, consolidate reporting, and guide cross-functional programs without direct authority.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Own the Marketing organization’s data and analytics strategy, including data structures, reporting requirements, governance, dashboards, and marketing funnel measurement. Partner with engineers, MarTech teams, vendors, and leadership to improve infrastructure, data quality, and operational efficiency. Lead executive-level performance analyses, operating-plan metrics, and C-suite reporting by translating complex cross-functional data into actionable strategic narratives.

Provides consulting services focused on pricing strategy, customer profitability, revenue maximization, and profitable growth. Analyzes pricing and business performance data, evaluates market trends, maps customer journeys, and develops customer-centric solutions. Leads pricing initiatives, manages project budgets and resources, mentors team members, supports digital and AI-enabled tools, and builds client relationships while delivering projects on schedule and within budget.

Leads the development and productionization of agentic AI systems, model validation platforms, automated testing, and real-time monitoring capabilities. Owns AI product requirements and lifecycle management while partnering with technology, model risk, and business stakeholders. Provides hands-on technical leadership in cloud-native environments, manages AI scientists and engineers, and develops talent and strategic partnerships to accelerate enterprise model validation and risk management.

Lead strategy and diligence analytics for TMT deals, manage client accounts and teams, develop data models and dashboards, and translate analytical findings into commercial strategy recommendations. Mentor junior staff, collaborate with specialists, and ensure high-quality, ethical delivery.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Own sales strategy and analytics planning, including ARR and pipeline targets, quota setting, territory design, headcount and capacity modeling, forecasting, dashboards, KPI reporting, and productivity analysis. Partner with GTM and Finance leaders to turn complex data into actionable recommendations, standardize metrics, improve data quality and automation, and develop AI-enabled tools. Mentor analysts and establish analytical rigor across the team.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Leads global sourcing, procurement, supplier management, and supply chain strategies for complex construction and infrastructure programs. Negotiates contracts, manages RFI/RFP processes, secures supplier capacity, monitors performance, analyzes program data, improves processes, manages cross-functional projects, and mitigates operational risks. Partners with regional and global stakeholders, construction providers, and suppliers to optimize costs, capacity, execution, and speed to market.

Own client relationships and analytics strategy across digital measurement and GEO initiatives. Architect, audit, and QA GA4 and Adobe Analytics implementations; develop measurement frameworks, dashboards, experimentation plans, and causal analyses. Present insights to executive stakeholders, manage analytics workstreams, mentor teammates, and build AI-assisted workflows, automations, and scalable systems. The role combines traditional analytics with measurement of AI-powered search visibility and customer behavior.

Leads advanced analytics initiatives for a strategic food supplier, developing data models, algorithms, prototypes, and actionable recommendations. Partners with senior leaders and cross-functional internal and external stakeholders to address complex business challenges, manage projects from concept through implementation, and guide data-driven strategic decisions. The role also manages a consultative measurement relationship with the supplier and supports business growth through advanced analysis and analytics strategy.

Leads end-to-end clinical trial surveillance and analytics solutions, including integrated SDTM and ADaM data pipelines, safety and efficacy signal detection, automated reporting, dashboards, and AI-enabled analytical tools. Partners with clinical development, patient safety, statistics, and engineering teams; leads cross-functional projects, mentors staff, supports adoption, and ensures compliance with GCP, ICH guidelines, SOPs, and quality standards.

Leads revenue planning and analytics, including forecasting, ASP and reimbursement analysis, pricing governance, contract economics, and commercial performance reporting. Manages revenue risks, develops executive insights, establishes financial models and controls, and partners cross-functionally with FP&A, accounting, market access, RCM, commercial, and operations teams. Directly manages and develops a senior analyst while ensuring forecast accuracy, data quality, and disciplined commercial decision-making.

Own marketing analytics across B2B and e-commerce funnels, including data modeling, metric definitions, campaign measurement, lead quality, attribution, dashboards, and executive storytelling. Partner with marketing stakeholders to identify funnel issues and recommend actions. Maintain a governed Snowflake marketing data layer, build self-service analytics and automated quality checks, support Salesforce Marketing Cloud migration, and develop AI-assisted analytics tools.

Analyze product, user, transactional, and repayment data to develop risk and underwriting models, reduce losses and fraud, monitor model performance, and guide product and growth strategy. Build Looker dashboards and LookML models, conduct segmentation and experimentation, measure CAC and LTV, and communicate actionable insights to product, engineering, marketing, finance, and leadership.

Build product-level P&L reporting, cost allocation methodologies, financial models, dashboards, and ROI analyses. Partner with Finance, Accounting, Product, and Data teams on budgeting, forecasting, variance analysis, product usage metrics, and investment decisions. Establish standardized reporting rhythms and translate ambiguous business questions into actionable recommendations for senior stakeholders.

Leads strategy consulting initiatives for pharmaceutical and life sciences clients, focusing on customer experience, journey mapping, segmentation, customer data management, and engagement strategies. Manages client accounts, project planning, budgets, execution, stakeholder relationships, quality, and timelines. Coaches and mentors consulting teams while identifying opportunities for business growth and driving data-informed customer-centric improvements.

Lead and manage data and analytics initiatives for M&A and transactions, directing teams to build ML models, dashboards, and integrated data solutions using analytics and visualization tools, ensuring data quality, stakeholder alignment, and actionable insights to drive deal decisions.

Leads client-focused data analytics initiatives within PwC’s Risk & Regulatory practice. Develops business intelligence, visualization, and advanced analytics solutions using Python, Oracle Business Intelligence, QlikView, and Spotfire. Builds stakeholder relationships, validates outcomes, drives process improvement, and applies systems thinking to solve complex business challenges. Oversees scalable deployments and coaches teams through ambiguous situations while delivering strategic insights and improved client performance.

Own GTM performance analytics, KPI and target setting, reporting, forecasting, compensation planning, and performance reviews across Sales and Post-Sales. Identify anomalies and optimization opportunities involving conversion, churn, productivity, pricing, packaging, segmentation, channel economics, and customer quality. Partner with Finance and GTM leaders to develop recommendations, lead strategic initiatives, and ensure data integrity while translating analysis into actionable business decisions.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

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.