Top Data Analyst Jobs in Boston, MA

Partner with Sales, Product, Engineering, and Operations to build the GTM analytics foundation for a new dealer software pillar. Own pipeline, install base, churn, demo-to-close, and launch analytics; identify and fix Salesforce/process gaps; create prospecting and churn-risk signals; write production-grade SQL on Snowflake and productionize assets in dbt; and maintain dashboards in Looker, Omni, and Salesforce CRM Analytics to drive measurable go-to-market execution.

Build and productize externally consumable data assets from concept to delivery. Define schema, governance, SLAs, documentation, and delivery (Snowflake share, SFTP, API). Partner cross-functionally to productionalize datasets, monitor quality, iterate on customer feedback, and create repeatable productization frameworks.

Investigate customer data questions using SQL, identify root causes across data sources, communicate findings, write engineering tickets, and improve data quality and platform reliability while developing Python, Git, and software engineering skills to transition into a Junior Software Engineer role.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

The Data Analyst in Revenue Operations will analyze sales data, build models, and create reports using SQL, Excel, and BI tools to empower business decisions.

The Principal Data Analyst will manage paid media analytics and operations, ensuring data quality, compliance, and actionable insights while collaborating with media buyers to improve performance and ROI.

The Lead Data Analyst (Network) drives data-driven initiatives, dissects datasets, and provides actionable insights to enhance business performance and network efficiency.

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

Serve as the bridge between business and the Product Master Data Management (PMDM) solution: gather and translate requirements, lead UAT and training, prioritize product backlog with Product, monitor tool performance with analytics, support tickets and root-cause analysis, and drive change management to optimize item lifecycle processes.

This role leads reporting and analytics for business transformation, managing data requirements and collaborating across teams to enhance reporting processes.

Provide data-driven insights for mass tort and product liability litigation by building predictive models, financial projections, and dashboards; manage litigation portfolios, collaborate with attorneys and finance, and translate analytics into strategic recommendations to guide case valuation, settlement strategy, and practice profitability.

As a Data Analyst, you will enhance analytical models, analyze model outputs, support data solutions, and communicate findings effectively.

Partner across business units to map data systems, analyze marketing performance, build executive-ready dashboards, automate reporting, and improve data quality and governance to drive campaign optimization, attribution, forecasting, and strategic recommendations.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

As a Lead Data Science Analyst, you will develop predictive models, conduct statistical analyses, and create AI-driven solutions to enhance GTM strategy and customer outcomes.

The Data Analyst will focus on digital consumer/patient experiences, driving measurement and insights, audience activation, and reporting using data analytics and AI solutions.

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Serve as a Senior Data Analytics Consultant specializing in Dynatrace and observability to analyze digital experience data, produce dashboards and reports, advise 4–8 enterprise clients, present findings to technical and executive audiences, configure tooling, influence product roadmap, and support client enablement and account growth.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Lead SAP/ERP master data strategy for global manufacturing: define and sustain work centers, routings, BOMs, and labor pools; drive data enrichment projects, partner with Operations/Engineering/Planning/Digital, train site teams, and improve shop-floor execution metrics (schedule, WIP, capacity, costing).

The IT Associate Data Analyst collaborates with business and IT teams to analyze customer data, translate business needs into data requirements, validate data, resolve issues, and support agile delivery efforts.

The Data Architect/Data Analyst will transform business requirements into technical specifications, evolve data models, and communicate designs to stakeholders. Responsibilities include collaborating with ETL developers, maintaining documentation, and optimizing database architectures.

Turn complex data into actionable insights for National Accounts by performing statistical analysis, forecasting, modeling, and automated reporting. Build dashboards and executive presentations, diagnose data quality, partner with account teams, data engineers, and finance to influence decisions and track performance metrics.

Collect, reconcile, and analyze information from multiple sources to support USAO casework. Maintain case files and databases, prepare reports and documents, track case status, perform word processing, coordinate information requests, and provide timely status updates.

Collect, reconcile, and analyze information from multiple sources; enter and maintain case data and physical files; track case status and deadlines; prepare documents, reports, and summaries; perform word processing; coordinate information requests and provide timely status updates in support of the U.S. Attorney's Office.