Top Analytics Manager Jobs in Boston, MA

Lead and develop a team of partnership analysts; translate business questions into analytical frameworks, experiments, forecasts, and ROI models. Build dashboards and reporting infrastructure, analyze cohorts, funnels, retention, and partner performance, and own measurement frameworks for growth initiatives. Partner with Business Development, Engineering, Product, and Marketing to shape partnership strategy and communicate data-driven insights to technical and non-technical leaders.

Lead product efforts for model analytics and forecasting platforms, partnering with Quant, Treasury, Technology, and Data teams to define requirements, prioritize features, drive delivery, and establish success metrics and governance for transparent, scalable, trusted model development and deployment.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Own client-facing analytics strategy and implementation across GA4, Adobe Analytics, tagging, measurement frameworks, dashboards, experimentation, and GEO measurement. Audit and QA analytics implementations, define KPIs, evaluate incrementality and causal relationships, present executive-ready insights, and collaborate with SEO, paid media, creative, data, engineering, and client teams. Build AI-assisted workflows, automations, scalable tools, and dashboards while mentoring teammates and managing multiple client workstreams.

Lead strategic insights and market research projects for B2B clients, translating quantitative survey and statistical analysis into actionable recommendations. Manage client engagements, design surveys using methodologies such as conjoint and MaxDiff, present findings to nontechnical stakeholders, develop commercial offers, and coach Associates. The role supports marketing, product development, and strategic planning while helping build NewtonX’s professional services capabilities.

Own enterprise analytics audits, implementations, data quality, attribution, segmentation, SQL analysis, BI dashboards, experimentation measurement, and client reporting. Serve as the senior analytics partner for major accounts, present insights to executives, train client and internal teams, and help define analytics and experimentation services. The role requires hands-on Adobe expertise, autonomous prioritization, technical collaboration, and the ability to connect organic and AI search performance to pipeline and revenue.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Manages financial analytics and product delivery for pharmacy benefit clients, including RFPs, procurement projects, renewals, market checks, PBM contract reviews, financial modeling, reporting, and presentations. Analyzes pharmacy spend, utilization, trends, and cost drivers using proprietary tools and Excel. Leads peer reviews, manages project timelines, improves processes, and mentors and trains financial analysts and new employees.

Lead development, validation, deployment, and quality control of advanced analytics and ML solutions for fraud detection, waste and abuse, investigative analysis, and program integrity. Provide technical leadership, translate stakeholder requirements, mentor team members, and ensure models are explainable, defensible, and production-ready.

Drive marketing measurement, reporting, and data governance for demand generation and field marketing. Build dashboards, reconcile cross-system data, maintain attribution and pipeline measurement, automate integrations and workflows, and apply AI/LLM tooling to scale analytics and enable data-driven marketing decisions.

Conduct patent and scientific literature searches and develop advanced search strategies to produce actionable patent analytics for due diligence, litigation, and freedom-to-operate assessments. Partner with attorneys, scientists, and business teams to translate technical information into clear recommendations, maintain search records and confidentiality, and share best practices to strengthen organizational IP expertise.

Analyze pharmaceutical secondary data and support primary market research to generate actionable insights for brand strategy, performance tracking, customer journeys, and business decisions. Develop dashboards, reports, segmentation analyses, and analytical frameworks while validating data quality. Collaborate with Commercial, Medical, Market Access, data strategy, and technology teams to interpret customer, competitive, and market trends across HCP, patient, payer, and other stakeholder groups.

Delivers customer analytics and market research insights supporting pharmaceutical franchise strategy, brand planning, performance tracking, and business decisions. Analyzes claims, EHR/EMR, specialty pharmacy, prescription, CRM, and omnichannel data; develops dashboards and analytical tools; conducts qualitative and quantitative research; and translates findings into actionable recommendations. Collaborates with Commercial, Medical, Market Access, data strategy, and technology teams in a matrixed environment.

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.

Transforms data into actionable insights for CVS Health’s Direct-to-Consumer channels. Develops reporting solutions, quality dashboards, and analytics on agent behavior, quality trends, and process opportunities. Partners with Quality Assurance, Compliance, Operations, and Vendor Management to ensure data integrity and improve performance. Supports vendor oversight, internal reporting, and quality-monitoring innovation using tools such as Excel, SQL, and NICE CXone, with a focus on Medicare sales processes.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; make recommendations; and drive decisions through execution. The role requires independently structuring ambiguous problems, using SQL or Python, communicating findings clearly, influencing senior stakeholders, and delivering measurable business impact.

Own the end-to-end analytics function for a business area such as growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; surface insights; and recommend actions that improve key outcomes. Partner with product, growth, finance, and operations leaders to influence decisions and drive execution. The role requires first-principles problem solving, strong analytical skills, independent data work, clear communication, and ownership of ambiguous initiatives.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; generate actionable insights; and drive recommendations and decisions with cross-functional stakeholders. The role requires independently structuring data, solving ambiguous problems, communicating findings clearly, and delivering measurable business impact.

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

Lead and grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Lead paid media analytics for performance marketing: build SQL-based reporting and Power BI dashboards, validate agency/platform data, run deep-dive diagnostics across paid channels, support experimentation and MMM inputs, and provide actionable media investment recommendations to improve lead quality and enrollment outcomes.

Own and scale the finance and accounting data ecosystem: design and maintain BigQuery integrations, ensure data integrity and governance, build reconciliations and automated controls, develop scalable reporting and dashboards, support monthly close, forecasting, budgeting, and automate finance processes to improve visibility and efficiency.

Leads commercial insurance portfolio analytics, executive reporting, performance monitoring, forecasting, product strategy, pricing analysis, and competitive intelligence. Partners with senior stakeholders to identify risks and growth opportunities, translate complex data into recommendations, and support profitable decisions. Manages analytical initiatives, product development changes, and cross-functional programs while leading and developing team members and fostering data-informed decision-making.