Top Analytics Manager Jobs in Boston, MA

Own HR systems, People analytics, reporting, dashboards, data governance, and AI-enabled insights. Partner with People Operations, Finance, Legal, Security, and business leaders to translate workforce questions into metrics and actions. Manage HRIS configuration, integrations, security, automations, data quality, system projects, and annual people cycles. Train managers and People teams while protecting employee data and delivering scalable self-service solutions.

Leads Marketing's data architecture, metric governance, analytical modeling, predictive modeling, experimentation, and executive performance reporting. Manages three to four analysts while remaining hands-on with advanced SQL, Snowflake data validation, dimensional modeling, cross-system reconciliation, attribution, customer analytics, and AI-assisted natural-language analytics. Partners with engineering, governance, product, and marketing teams to define data products, ensure analytical accuracy, and establish scalable measurement standards.

Build and lead Surescripts’ commercial analytics function, including governed Salesforce and CRM data models, KPI definitions, dashboards, forecasting, pipeline analytics, customer journey insights, automated reporting, quota modeling, and territory planning. Manage an analyst and partner with Sales, Marketing, Finance, Data, and Business Applications. Present actionable recommendations to senior leaders while improving data quality and enabling self-service analytics.

Leads financial due diligence and performance analytics engagements for corporate and private equity clients during transactions, integrations, divestitures, and carve-outs. Responsibilities include data extraction, modeling, visualization, forecasting, AI-enabled automation, strategic counsel, client relationship development, team leadership, mentoring, and translating complex findings into actionable recommendations. Requires transaction services, quality of earnings, working capital, cash flow, and advanced analytics experience.

Leads strategic analytics and transformation for sales by developing financial models, forecasts, KPI dashboards, campaign measurement frameworks, and executive reporting. Partners with Sales, Finance, Marketing, and strategic partners to assess performance, improve forecast accuracy, identify growth opportunities, and optimize sales execution. Applies AI, automation, business intelligence, and data-quality practices to streamline reporting and generate actionable insights across revenue, pipeline, bookings, gross margin, and quota attainment.

Own the vision, roadmap, and delivery of customer-facing AI, predictive analytics, and SaaS data products. Partner with strategic clients, UX, data science, engineering, sales, and marketing to translate business needs into technical requirements, validate product hypotheses, and launch features that drive adoption, retention, and revenue expansion. Use SQL and data visualization tools to analyze data, communicate insights, and shape intuitive product experiences.

Manages and enhances the organization’s risk management program through complex risk assessments, policy oversight, variance and trend analysis, risk reporting, issue resolution, and escalation. The role works cross-functionally, supports independent assessments, develops risk processes and procedures, and serves as a subject matter expert in a designated risk discipline.

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 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.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, and segmentation. Partners with Marketing and Finance to establish performance goals and translate complex data into actionable recommendations. Automates reporting using analytics platforms, marketing automation tools, experimentation methods, and AI-enabled workflows while identifying opportunities to grow and retain high-value consumers.

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.

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 trade and distribution analytics supporting business performance, market access, contract operations, field accounts, and product launches. Responsibilities include quarterly business reviews, demand and inventory reporting, data engineering, analysis, visualization, vendor analytics, process improvement, dashboard development, launch coordination, and presentation of actionable insights. The role partners extensively across commercial, finance, compliance, legal, regulatory, supply chain, and technology teams.

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.

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.

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.