Top Analytics Jobs in Boston, MA

Leads Customer Success analytics strategy, executive business reviews, customer experience and voice-of-customer insights, enablement impact measurement, and data foundation development. Manages two analysts, partners with data engineering and data science, applies statistical and experimental methods, analyzes structured and unstructured customer data, and uses AI tooling to improve self-service and recurring analytics. Translates ambiguous business questions into actionable recommendations for senior leaders.

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.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Leads end-to-end analytics projects for FINRA’s regulatory operations, including scoping quantitative methods, developing predictive pipelines, expanding data sources, and delivering analytics capabilities. Promotes advanced analytics adoption, supports cross-market surveillance, engages stakeholders, responds to research requests, and mentors analysts. Requires collaboration across delivery teams and participation in strategic analytics 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; surface insights; and drive data-informed decisions and outcomes. The role requires independent data work, strong problem-solving, stakeholder influence, and end-to-end ownership of ambiguous initiatives.

Own end-to-end analytics for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface actionable insights; and influence stakeholders’ decisions. The role requires independent data work, strong analytical judgment, clear communication, and ownership of ambiguous, high-impact initiatives.

Lead advanced analytics initiatives by analyzing structured and unstructured customer data, developing statistical insights, dashboards, reports, and data-driven recommendations. Partner with cross-functional teams and organizational leaders to guide prioritization and improve customer experiences. The role requires experience with SQL, Python or R, Tableau or Power BI, big data platforms, and analytical storytelling. Experience with digital interaction data, AI, generative AI, and automation is preferred.

The posting identifies an Associate Director role focused on process data analytics at a cell and gene therapy company, but provides no specific responsibilities, qualifications, technologies, travel requirements, or clearance requirements.

Supports financial data gathering, analysis, reporting, dashboard creation, process documentation, automation, and continuous improvement initiatives. The intern will use tools such as Excel, Tableau, Power BI, Alteryx, and Python to transform data into actionable insights, identify trends, streamline manual tasks, and contribute to presentations. The role involves collaboration with finance analysts and cross-functional business partners while developing analytical, communication, and financial systems skills.

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 Autodesk’s global marketing data strategy and analytics organization, establishing measurement, attribution, experimentation, marketing mix modeling, predictive analytics, and AI-enabled decisioning capabilities. Defines marketing data foundations, governance, taxonomies, and identity frameworks while partnering with Marketing, Sales, Data Science, Engineering, and AI/ML teams. Translates complex analysis into executive recommendations that improve marketing effectiveness, investment allocation, customer outcomes, and commercial performance. Manages and develops a global team of data strategists and analysts.

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.

Evaluates AI/LLM-powered product quality, model and product performance, customer behavior, usage, and feature adoption. Defines KPIs and success metrics, develops evaluation frameworks, identifies instrumentation gaps, supports experimentation and analytics infrastructure, and creates dashboards and reports. Partners with Product, Engineering, Data Science, and Business teams to translate analytical insights into product improvements.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Analyzes healthcare datasets to identify trends, risks, and opportunities; develops SQL-based reports, dashboards, and data solutions using Excel and reporting tools. Supports data extraction, validation, forecasting, regulatory reporting, process improvement, and ad hoc analysis. Translates stakeholder needs into analytical requirements, presents findings, documents workflows, and collaborates cross-functionally on reporting projects.

Design and execute advanced statistical and data analyses for client projects, using tools such as R, Tableau, SAS, VBA, and Excel. Translate data into actionable insights, communicate findings to clients and internal teams, collaborate on solution implementation, and take ownership of project deliverables.

Analyzes large-scale casino data to generate strategic insights, lead experiments, improve workflows and performance, and build scalable reporting frameworks and dashboards. Partners with cross-functional teams to influence strategy, communicate findings, and support data-driven decisions across products and markets.

Lead GTM analytics across performance measurement, channel economics, data governance, forecasting, planning, and executive reporting. Own metric definitions, data standards, analytical priorities, and business requirements while partnering with Marketing, Data Science, Finance, RevOps, and Engineering. Analyze funnel, attribution, CAC, payback, conversion, retention, pipeline, and territory performance, translating findings into investment recommendations and strategic decisions for senior leadership.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.

Establish and lead the People Analytics function, building trusted workforce data foundations, governance, privacy standards, analytical products, workforce planning capabilities, and AI-enabled decision support. Partner across HR, Finance, IT, and business leadership to deliver executive insights, improve workforce decisions, and scale analytics operations. Recruit and develop the analytics team while ensuring responsible data use, global-local compliance, stakeholder adoption, and alignment with organizational priorities.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, maintain dashboards, build analytical models, communicate insights, and monitor improvement initiatives across the organization.

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.