Top Analytics Manager Jobs in Boston, MA

Analyze deposit portfolio, customer, and market data to identify growth opportunities and optimize banking products. Build performance dashboards, develop statistical models and business cases, support pricing and product initiatives, and enhance data structures with Data Management. Partner cross-functionally with Finance, Marketing, Technology, Treasury, and Retail Administration while providing strategic insights to senior management.

Leads the analytics function, owning the roadmap, prioritization, team development, business intelligence standards, metrics governance, dashboards, and executive insights. Partners with business and technical stakeholders while guiding SQL, dbt, data modeling, testing, version control, and self-service analytics practices. Evaluates responsible AI applications for analytics development, reporting, data exploration, and quality checks.

Leads the Journey Intelligence Team’s analytics strategy, develops analysts, and builds measurement frameworks, segmentation strategies, and scalable data assets. Conducts exploratory analysis, experimentation, and customer lifecycle research to identify engagement opportunities. Partners with Product, Operations, and senior leadership to translate customer behavior insights into strategic initiatives and measurable improvements across the customer journey.

Provides consulting services focused on pricing strategy, customer profitability, revenue maximization, and profitable growth. Analyzes pricing and business performance data, evaluates market trends, maps customer journeys, and develops customer-centric solutions. Leads pricing initiatives, manages project budgets and resources, mentors team members, supports digital and AI-enabled tools, and builds client relationships while delivering projects on schedule and within budget.

Leads Treasury business intelligence, analytics, data governance, reporting, and system integration initiatives. Oversees dashboards, data transmissions, workflow optimization, automation, and data quality across Treasury systems, ERP platforms, and external providers. Defines technical requirements, maps data flows, supports business cases, and delivers strategic insights to Treasury leadership. Manages cross-functional projects and stakeholder relationships while maintaining policies, procedures, and data management standards.

Develops marketing dashboards, reporting, attribution models, and funnel analysis to guide campaign investment and pipeline decisions. Ensures data quality across Salesforce, marketing automation, BI, and warehouse systems; resolves discrepancies and supports scalable data foundations. Builds API-based automations and applies AI/LLM capabilities to improve analytics workflows. Partners with marketing, revenue operations, sales, and leadership to translate marketing performance data into actionable business recommendations.

Lead Client Legal Services analytics strategy and team development. Own Power BI reporting products, Microsoft Fabric data solutions, governance, predictive modeling, responsible AI adoption, ROI measurement, and executive insights. Partner cross-functionally to improve legal operations, litigation outcomes, staffing, capacity, cost management, quality, and workflow optimization while building scalable analytics capabilities and institutional knowledge.

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

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Own sales playbooks and incentive programs that drive measurable pipeline growth. Build Salesforce reports, SQL datasets, Tableau dashboards, forecasts, and segmentation models. Partner with Sales, Business Development, Marketing, RevOps, and IT to automate analysis, improve data hygiene, measure program impact, and communicate insights. This senior individual-contributor role manages programs end to end and uses AI to replace manual workflows with scalable systems.

Lead strategy and diligence analytics for TMT deals, manage client accounts and teams, develop data models and dashboards, and translate analytical findings into commercial strategy recommendations. Mentor junior staff, collaborate with specialists, and ensure high-quality, ethical delivery.

Lead data-driven diligence and value-creation work for private equity and corporate clients. Manage teams and client accounts, perform complex analysis, develop predictive models and scenarios, build/maintain data pipelines and warehouses, improve data quality, and deliver visualizations and actionable recommendations using tools like Alteryx, Power BI, and Tableau.

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.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Own sales strategy and analytics, including ARR and pipeline targets, quota setting, capacity and headcount modeling, territory planning, dashboards, KPI frameworks, and forecasting. Partner with GTM and Finance leaders to convert complex data into actionable recommendations, improve reporting automation and data quality, and implement AI-enabled tools. Mentor analysts and establish analytical rigor across the team.

Owns marketing performance measurement through attribution models, dashboards, funnel and pipeline analysis, ROI reporting, forecasting, and planning models. Partners with Marketing, Sales, RevOps, Finance, and SDR teams to improve data quality, evaluate campaigns, guide budget decisions, and present executive-ready insights. Mentors marketing operations analysts without direct reports.

Owns B2B and B2C funnel, enrollment, revenue, and marketing performance reporting. Builds executive and Board dashboards, analyzes CAC, LTV, retention, conversion, spend efficiency, and ROI, and reconciles marketing activity with financial results. Maintains KPI definitions and reporting governance while partnering with Marketing, Finance, FP&A, Sales Operations, and Data teams. Supports strategic planning, diligence requests, and actionable business recommendations through accurate, cross-functional analytics.

Acts as a data analytics domain expert delivering research, statistical analysis, and predictive insights for business decisions. Translates business problems into quantitative solutions, analyzes large datasets, develops scalable data workflows, and uses SQL, Python, Alteryx, Tableau, and Power BI. Collaborates with stakeholders and leadership to communicate findings and drive actionable outcomes across multiple projects. This is an individual contributor role without direct people management responsibilities.

Leads end-to-end business intelligence and advanced analytics solutions, translating business questions into trusted datasets, dashboards, semantic models, and actionable insights. Partners with stakeholders to establish measurable outcomes and a single source of truth. Performs data discovery, SQL optimization, statistical analysis, data modeling, ETL, and data quality controls while delivering scalable Power BI and Tableau products.

Develop and lead data-driven analytics initiatives for Fidelity Digital Assets. Analyze structured and unstructured data, create dashboards and reporting capabilities, apply statistical methods, and communicate insights that guide business decisions. Partner with product, operations, and other teams to improve digital asset offerings and customer experiences. The role requires expertise with SQL, Python or R, visualization tools, big data technologies, and digital analytics platforms.

Own weekly and monthly sales performance reporting across SPINS, Circana, retailer portals, distributor feeds, and shelf data. Diagnose velocity, distribution, pricing, promotions, and competitive share; identify risks and opportunities; build buyer-facing category and sell-in decks; evaluate promotions and trade ROI; support Costco planning; and develop dashboards and scorecards that turn sales data into actionable insights.

Leads development, deployment, and optimization of machine learning, AI, and predictive analytics solutions for U.S. Commercial operations. Builds models using claims, EHR, specialty pharmacy, and commercial data to analyze patient populations, provider behavior, treatment patterns, adherence, and engagement. Partners with Commercial, Medical Affairs, and analytics teams to translate insights into business strategies, while managing vendors, supporting model governance, and communicating findings to leadership.

Conduct quantitative research across systematic investment strategies, analyzing large datasets, portfolio risks, signals, and fund outcomes. Develop analytics, KPIs, reporting mechanisms, and tools used by portfolio managers and researchers. Partner with quantitative researchers, traders, technologists, and portfolio managers to uncover insights and improve decision-making. Apply statistical techniques, programming, risk management, and modern AI tooling to solve complex problems.

Leads the Journey Intelligence Team’s analytical strategy, manages analysts, develops customer measurement frameworks and segmentation, conducts exploratory and experimental analysis, and translates customer behavior insights into strategic initiatives that improve engagement and the end-to-end customer experience.

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.