Top Analytics Manager Jobs in Boston, MA

Lead and mentor a product analytics team that diagnoses product performance, evaluates launches, defines trusted KPIs, and drives strategic decisions. Oversee rigorous experimentation, causal inference, cohort analysis, metric governance, and telemetry standards. Partner with Product, Engineering, Marketing, Growth, Design, and Finance leaders to translate analysis into recommendations. Promote AI-native workflows using tools such as Claude Code while ensuring analytical quality, code validation, and clear executive communication.

Leads supply chain analytics and reporting initiatives from requirements gathering through implementation and continuous improvement. Partners with Finance, Quality, Data & Technology, and supply chain stakeholders to define KPIs, govern metrics, resolve data quality issues, and deliver scalable dashboards and reports. Analyzes inventory and supply chain data to identify trends, inefficiencies, and improvement opportunities. Requires strong supply chain planning knowledge, experience with MRP systems, inventory tracking, CMO planning, and cross-functional project leadership.

Lead operational analytics for WHOOP’s global operations, identifying inefficiencies across shipping, fulfillment, inventory, costs, and service levels. Own metrics, forecasting, spend tracking, variance analysis, and cost-reduction initiatives while partnering with Operations, Finance, Membership Services, vendors, and Data Engineering. Build trusted data assets, pipelines, semantic-layer definitions, dashboards, and performance reviews. Manage and mentor analysts while influencing strategic prioritization and resource allocation through data-driven insights.

Analyzes healthcare revenue performance, develops financial models and forecasts, supports revenue recognition and accounting close, evaluates payer contract impacts, investigates payment anomalies, and delivers variance analyses and performance reporting. Partners with Finance, Accounting, Revenue Cycle Management, IT, and clinical leadership to improve revenue methodologies, automate recurring processes, and support budgeting and forecasting.

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.

Own the vision, strategy, and roadmap for client- and program-facing analytics products. Lead discovery, PRDs, prototyping, backlog prioritization, delivery, client dashboards, reporting, and AI-enabled analytics. Partner with data, engineering, client success, and program teams on Databricks data products, governance, integrations, KPIs, and multi-tenant experiences. Use client feedback and quantitative insights to deliver measurable business outcomes.

Own campaign measurement and reporting across video, podcasts, newsletters, social, digital, and live events. Build dashboards, benchmarks, partner-facing insight decks, case studies, and renewal materials. Monitor campaign KPIs, coordinate third-party measurement and brand lift studies, and turn audience and performance data into recommendations for pricing, packaging, content, and business growth.

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 the strategy, governance, and evolution of the People technology ecosystem, including Workday and related platforms. Oversees HR systems configuration, integrations, security, reporting, analytics, data governance, compliance, AI enablement, vendor management, and workforce planning. Builds executive dashboards and actionable insights while partnering with People, Finance, IT, Legal, and business leaders. Develops a high-performing People Technology and Analytics team and drives process automation, system improvements, and scalable operational excellence.

Lead a team delivering product and business analytics for Fetch's commerce and shoppable experiences. Own prioritization, experimentation, measurement, KPI dashboards, and stakeholder-facing insights to inform product, marketing, and commercial decisions. Manage and develop analysts while partnering cross-functionally to ensure data quality, repeatable analyses, and actionable recommendations.

Own commercial analytics for biotech products, delivering territory, account, field-force effectiveness, targeting, segmentation, dashboard, and demand insights. Integrate pharmaceutical data sources, develop analytical models and automated reporting, support incentive compensation and deployment decisions, and present actionable recommendations to commercial leadership. Partner cross-functionally with Marketing, Market Access, Medical Affairs, Sales Operations, and HR while ensuring data governance, HIPAA, and 21 CFR Part 11 compliance.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, campaign reporting, experimentation, and lifecycle analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and generate actionable insights. Builds churn, retention, segmentation, and LTV models while evaluating paid acquisition and customer growth opportunities using SQL, Python, BI tools, marketing platforms, and modern AI-enabled workflows.

Leads Navitus’s centralized analytics team, delivering client performance analysis, financial modeling, underwriting support, pricing analysis, competitive intelligence, dashboards, and strategic recommendations. Partners with Sales, Finance, Clinical, Network Strategy, Account Management, and technical teams to support client growth, retention, RFPs, renewals, and market-facing engagements. Establishes data quality and governance standards, improves analytical processes, and mentors team members.

Leads payer contracting, out-of-network reimbursement, and No Surprises Act arbitration analytics. Builds financial models, forecasts, dashboards, benchmarking analyses, and rate strategies; evaluates IDR outcomes and payer performance; supports revenue cycle, litigation, acquisitions, and contract decisions. Partners with Finance, Legal, Accounting, Revenue Cycle, and Operations to optimize reimbursement yield and ensure accurate revenue projections.

Leads client-facing manufacturing and automotive analytics, data, AI, and digital transformation engagements. Responsibilities include executive stakeholder management, consulting, solution design, account growth, proposal development, commercial oversight, program governance, delivery leadership, and capability building. The role develops transformation roadmaps, modernizes data platforms, guides AI and analytics use cases, manages strategic portfolios up to $10M–$15M annually, and mentors multidisciplinary teams.

Leads Analytics Business Partners responsible for enterprise analytics intake, prioritization, pod backlogs, cross-pod dependencies, quarterly planning, and delivery outcomes. Manages and develops the ABP team while partnering with business, data engineering, analytics, data science, governance, and product teams. The role promotes reusable data assets, evaluates business value, and improves analytics delivery practices. Requires extensive healthcare or analytics experience, agile delivery expertise, stakeholder leadership, and people management.

Coordinate analytics projects across ERP, data lake, data sources, and BI layers. Responsibilities include managing resources, assessing process-change impacts on data models and reports, leading testing cycles, synchronizing technical solutions, coordinating stakeholder communication, and overseeing documentation and knowledge transfer across analytics and IT teams.

Leads Finance Analytics, owning forecasting methodology, annual and long-range planning, financial modeling, performance management, unit economics, strategic decision support, and capital allocation analysis. Partners with executives and cross-functional teams on resource planning, pricing, investments, and business performance. Manages and mentors analysts while advancing AI-enabled finance processes and analytical standards.

Supports pre-commercial and commercial strategy for biotech products through market sizing, epidemiology, competitive intelligence, pricing and reimbursement analysis, and revenue forecasting. Conducts primary and secondary market research, synthesizes clinical, regulatory, and market data, and communicates strategic insights and recommendations to organizational decision-makers. The role requires collaboration with internal stakeholders and external experts and is hybrid in Boston.

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.

Own marketing performance measurement and causal testing across growth channels. Design holdout and incrementality experiments, standardize conversion definitions and campaign taxonomy, build a trusted reporting layer using BI tools, and translate statistical findings into executive recommendations. Partner closely with embedded data science, marketing, client success, and product teams to guide channel investment and optimization.

Owns the Source-to-Pay data and analytics foundation, including master data, taxonomy, governance, quality, analytics products, automation, and AI readiness. Leads business requirements, operating models, executive dashboards, KPI frameworks, decision-support insights, and cross-functional platform enablement. Partners with Procurement, Finance, Legal, Risk, IT, and enterprise data teams to improve data reliability, controls, reporting, self-service analytics, and scalable automation.

Generate actionable customer and product insights by synthesizing large, complex datasets, developing hypotheses, conducting experimentation and analysis, and translating findings into strategic business decisions. Collaborate cross-functionally with analytics, engineering, data science, marketing, and product teams. Build dashboards and reports, identify trends and growth opportunities, communicate customer experience insights, and strengthen analytics capabilities across the organization.

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.