Top Senior Analytics Jobs in Boston, MA

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Leads commercial analytics across digital commerce, apparel and accessories, and wholesale. Manages analysts, owns bookings forecasting, develops customer and channel economics frameworks, and builds scenario-planning and measurement models. Partners with Finance and senior stakeholders to evaluate growth opportunities, diagnose performance, quantify tradeoffs, and guide investment decisions. Requires strong SQL, analytical modeling, people leadership, and cross-functional business judgment.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

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.

Leads deployment and integration of actuarial models into digital products. Manages delivery planning, coordinates analytics and development teams, establishes governance and testing frameworks, guides product design, explains methodologies and model outputs to technical and executive stakeholders, and supports client relationships and growth. Requires strong quantitative modeling, digital product development, communication, project management, and stakeholder engagement skills.

Own the analytical function for a core business area such as growth, product, AI, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leadership teams. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Lead data-driven analysis and business operations initiatives across marketing, product, and business development. Design and evaluate A/B experiments, identify acquisition and partnership growth levers, generate customer and performance insights, and automate manual processes. The role requires strong quantitative problem-solving, advanced SQL and data analysis skills, and the ability to communicate recommendations effectively from frontline teams to executives.

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.

Analyzes digital experiences and partners with product teams to define success metrics, measurement approaches, and optimization strategies. Collaborates across UX, customer experience, IT, site optimization, marketing, and merchandising. Uses digital analytics tools, quantitative analysis, dashboards, and SQL to generate insights, manage multiple projects, solve problems, and improve customer and patient experiences.

Own marketing channel performance tracking, reporting, experimentation, dashboards, forecasting, and LTV analysis. Develop measurement frameworks, identify data issues, and translate complex findings into actionable recommendations for Marketing, Growth, Product, and Finance stakeholders. The role requires strong SQL, BI dashboarding, marketing measurement, experimentation knowledge, and effective analytical communication, with AI tools used to accelerate reporting and analysis.

Lead growth analytics for Zendesk’s product-led growth motion, guiding a team of analysts and partnering with Product, Engineering, Sales, Marketing, and Data teams. Define funnel metrics, measurement plans, experiments, and instrumentation across acquisition, activation, conversion, retention, and expansion. Analyze customer behavior using segmentation, cohorts, funnels, experimentation, and statistical methods. Improve self-service reporting, dashboards, metric definitions, reusable datasets, and analytics capabilities while coaching analysts and influencing senior stakeholders.

Build Polymarket’s CX data and analytics function, defining service and customer experience metrics, creating dbt models and reporting, and delivering actionable insights to leadership. Lead Analytics Engineers, partner with central data engineering on pipelines and infrastructure, and develop measurement frameworks for AI automation. Apply forecasting and modeling to staffing, contact drivers, and AI deflection while communicating recommendations to executive audiences.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

Provides advanced workforce analytics for contact center workforce management. Analyzes operational and workforce data, develops forecasts, staffing models, dashboards, predictive insights, and KPI reporting, and recommends improvements to efficiency, capacity, productivity, and service levels. Partners with HR, business, technology, and operations stakeholders to integrate data, automate reporting, improve workforce planning, and support data-driven decisions.

Lead revenue analytics by developing business cases, dashboards, KPI frameworks, experiments, and automated analytics solutions. Partner with client success, marketplace, merchants, and cross-functional teams to evaluate performance, guide go-to-market decisions, quantify product value, and scale data-driven execution. Serve as the analytics subject matter expert while translating structured and unstructured data into actionable recommendations and compelling stakeholder narratives.

Lead end-to-end analytics for major platform partnerships, identifying growth opportunities and informing product, investment, risk, and pricing decisions. Conduct complex analyses, design experiments, build scalable data models, metrics, dashboards, and AI-assisted workflows, and translate findings into business recommendations. Partner cross-functionally with Product, Engineering, Finance, Revenue, and Strategic Partnerships while mentoring analysts and improving analytical practices.

Leads digital and marketing analytics for customer acquisition across multiple lending brands. Owns performance reporting, measurement frameworks, data governance, attribution and marketing effectiveness models, funnel analytics, experimentation, dashboards, and executive insights. Partners with Marketing, Risk, Finance, Operations, Technology, Engineering, and Data teams to optimize conversion, ROI, customer journeys, and data infrastructure. Requires advanced SQL, web analytics, statistical analysis, experimentation, and marketing measurement expertise.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

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.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; generate actionable insights; communicate recommendations to leadership; and drive execution through measurable outcomes. The role requires independent problem-solving, strong analytical skills, persuasive communication, and ownership of ambiguous, high-impact initiatives.

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

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.

Leads regional data analytics delivery for Global Business Services, including advanced analysis, reporting, dashboards, KPI frameworks, data governance, and executive decision support. Provides indirect leadership to analysts, establishes analytical standards, supports procurement and sourcing initiatives, evaluates supplier proposals, drives automation and continuous improvement, manages third-party analytics platforms, and develops training to improve adoption and analytics maturity.