Top Analytics Manager Jobs in Boston, MA

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.

Own and execute marketing operations and analytics: manage martech systems and integrations (Marketo, 6sense, webinar tools), build and QA campaigns, develop reporting and Power BI dashboards, analyze funnel and ABX performance, refine attribution and scoring, and create scalable workflows, documentation, and enablement for global and regional teams to drive measurable GTM improvements.

Lead end-to-end product ownership for a suite of GTN AI/analytics products (Clarity, Compass, Dynamic Forecasting). Define vision, roadmap, and KPIs; prioritize use cases; drive delivery with cross-functional pods; manage vendors and platform selection; standardize and scale GTN workflows; ensure responsible AI, governance, and measurable business impact.

Lead the modeling, forecasting, and analytics for go-to-market strategy. Collaborate with Sales and Finance on strategic revenue forecasts and actionable insights.

As a Revenue Analytics Manager, you will own reporting for Sales, Marketing, and Customer Success, build dashboards, automate workflows, and ensure data quality.

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.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Lead development and maintenance of data infrastructure and validation frameworks for quantitative ESG models. Build scalable data pipelines, integrate vendor and API feeds, create analytics dashboards, run model validation/back-testing, ensure production job scheduling and CI/CD, and deliver reporting to support quantitative research and portfolio analytics.

Manages a financial planning and analytics team supporting hospital executives and departments with business plans, forecasts, budgets, proformas, variance analyses, statistical reporting, and decision support. Oversees data validation, metrics, budget cycles, system integration, onboarding, reporting platforms, and continuous improvement initiatives. Partners with executive leadership, accounting, IT, Epic, Strategic Analytics, and Strata teams while guiding complex analyses and special projects.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Lead HEOR observational and claims data research using Vertexs RWE assets to assess disease burden, healthcare utilization, costs, and treatment patterns. Develop study protocols, statistical analysis plans, and table shells; oversee statistical programmers, produce analytic reports and visualizations, and improve analytic tools and operating models to support evidence generation.

Lead GTM analytics and revenue operations by analyzing campaign, funnel, pipeline, and attribution performance; building dashboards; optimizing marketing technology and data quality; improving lead management, routing, scoring, and sales handoffs; and establishing scalable workflows and governance. The role partners cross-functionally with Marketing, Sales, Finance, Product, and Customer Success to support forecasting, planning, leadership reporting, and data-driven revenue growth.

Uses consumer, shopper, market, and retail analytics alongside qualitative research to uncover insights, inform business strategy, evaluate advertising and promotional investments, and influence product, pricing, media, retail, and go-to-market decisions. Partners cross-functionally with Brand Management, Finance, Sales, R&D, and other teams to communicate findings, identify growth opportunities, and drive action.

Own the analytical function for a core business area, defining business questions, metrics, reports, analyses, experiments, and recommendations. Partner with product, growth, finance, and operations leaders to drive decisions and measurable outcomes. The role requires solving ambiguous problems, independently structuring and interpreting data, communicating insights persuasively, and executing initiatives end to end.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems and metrics, build reports, analyze data, design experiments, generate insights, influence leadership decisions, and drive initiatives through execution. The role requires strong first-principles thinking, independent data skills, persuasive communication, and ownership of ambiguous, high-impact problems.

Own the digital measurement ecosystem across websites, quote engines, customer portals, and account applications. Lead Google Tag Manager tracking frameworks, data-layer standards, Google Analytics 4 configuration, conversion events, attribution, funnel analysis, experimentation measurement, data-quality audits, and analytics governance. Partner with Marketing, Product, Engineering, and Data teams to translate customer behavior into actionable insights that improve growth, conversion, and customer experience.

Manage complex consulting projects for Veeva customers in analytics, focusing on project delivery, client relationships, and business development.

Manage analytics services for clients in the lifesciences marketing space. Lead teams, deliver insights, manage relationships, and drive project success.

The Manager of Commercial Operations & Analytics will lead client engagements, manage projects, enhance data processes, and drive client relationships within the life sciences sector.

Lead data-driven strategy and analytics for marketplace and sourcing operations: monitor trends, build dashboards and forecasting models, evaluate experiments and financial products, quantify impacts, and present executive recommendations to improve supplier engagement, sourcing efficiency, and marketplace performance.

Lead analytics for the Credit Card portfolio, partnering with Product, Engineering, Credit Risk, Fraud, and Marketing to deliver data-driven strategy. Perform ad-hoc and cohort analyses, design A/B tests, manage BI reports, drive portfolio growth and risk insights, and build scalable data solutions with Data Engineering. Influence executives through clear recommendations and leverage AI tools to accelerate analytics and self-service.

Serve as embedded BI lead for a divisional sales book, delivering actionable insights from syndicated and commercial data, leading opportunity analysis, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and planning.

Lead end-to-end category insights for strategic account chains using syndicated, retailer POS, and internal data. Develop analyses, reporting, and recommendations to drive sales and profit, partner with sales and BI, support category reviews and business planning, and present insights to stakeholders.

Serve as embedded BI partner for an assigned division, delivering actionable commercial insights from syndicated and internal data, leading opportunity analyses, training field teams, supporting Power BI reporting, and translating complex data into executive presentations to drive sales performance and program ROI.

Performs monthly actual, forecast, and budget analysis for enterprise data and analytics initiatives. Tracks financial metrics, supports strategic planning, provides business analysis and decision support to senior managers, improves financial processes, and collaborates with cross-functional stakeholders, vendors, and sourcing teams.