Top Analytics Manager Jobs in Boston, MA

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.

Develop relationships with software partners and clients, manage project delivery, and implement software solutions in various industries, focusing on sales planning and incentives operations.

Own end-to-end analytics for Chewy's Pharmacy and related businesses: deliver deep-dive analyses, build self-service dashboards and KPIs, partner with finance and engineering to enable new data sources, conduct QA/UAT, and produce documentation and training to drive customer experience and financial outcomes.

Lead data-driven diligence and value-creation work for private equity and corporate clients. Manage teams and client accounts, perform complex analysis, develop predictive models and scenarios, build/maintain data pipelines and warehouses, improve data quality, and deliver visualizations and actionable recommendations using tools like Alteryx, Power BI, and Tableau.

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.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

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.

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.

Lead category management strategy for motorized or robotics products, using market, competitive, retailer, pricing, promotional, and portfolio analytics to drive market share, distribution, revenue, profitability, and shelf growth. Partner cross-functionally with Sales, Marketing, Product Development, and Finance to guide product roadmaps, lifecycle management, pricing, retailer reviews, forecasts, and execution plans.

Leads social media analytics for the US and Canada across organic, earned, influencer, and paid activity. Develops actionable insights, viral-content analysis, outcome-oriented KPIs, executive reporting, benchmarks, and scalable measurement approaches. Partners with regional and global social, marketing, creative, agency, and senior leadership stakeholders. Directs AI-agent workflows to accelerate insight generation and automates recurring reporting while translating data into growth and creative actions.

Leads product analytics across core product, hardware, and algorithms while managing and developing analysts. Partners with cross-functional teams to define KPIs, evaluate experiments, analyze member behavior and product performance, build scalable analytics processes, and influence product strategy through actionable insights. The role requires hands-on analysis, advanced SQL, data warehousing expertise, strong storytelling, and the ability to guide senior stakeholders and technical teams.

Leads WHOOP’s Analytics Engineering function by owning the analytics data model, semantic layer, data quality standards, and analytics platform strategy. Manages and develops a team of Analytics Engineers, partners with Data Platform Engineering, establishes development and governance practices, and drives cross-functional data initiatives. The role also communicates data architecture, strategy, and roadmap to senior leadership while evaluating modern analytics and AI-ready data technologies.

Lead GTM operations and analytics for Revenue leadership: run weekly and quarterly business cadences, build executive dashboards, evaluate GTM and marketing effectiveness, model scenarios, and drive cross-functional execution. Partner with Sales, Marketing, Finance, and GTM Engineering to ensure data integrity, report performance, and mentor junior RevOps team members to translate strategy into measurable outcomes.

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.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.

The role drives market share growth and optimizes sales for the Uprights portfolio through analytics, cross-functional collaboration, and strategic planning.

Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.

Leads predictive media measurement across digital and traditional channels, building marketing mix, attribution, incrementality, and forecasting models. Owns KPIs, dashboards, signal detection, audience and creative effectiveness, brand health, and ambassador evaluation. Translates complex analytics into recommendations that optimize media allocation and marketing performance. Partners with agencies, marketing, brand, data, and engineering teams; mentors junior analysts and drives data-informed decisions across global markets.

Lead strategy, governance, and operations for the ServiceNow CMDB and enterprise analytics. Drive CMDB data quality, CSDM adoption, reporting, dashboards, and KPIs. Partner with engineering, security, architecture, and service owners; manage budgets, vendors, and a team of administrators, analysts, and governance specialists to deliver actionable insights and improve service management.

Analyze multiple data sources, translate complex findings into actionable business insights, and communicate recommendations to cross-functional teams. The role supports Brand Management, Finance, Sales, and other partners by delivering real-time insights, influencing business decisions, solving ad hoc problems, and developing scalable analytics solutions that improve business results.

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 marketing analytics for the US business: develop unified measurement (MMM, MTA, experiments), drive site and channel insights, forecast performance, operationalize models with Data Science/Engineering, design experiments, build executive dashboards, and influence marketing spend and strategy through actionable analysis.