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.

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.

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.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

The HR Data Analyst conducts workforce analytics, produces dashboards, identifies trends, and supports HR decision-making by ensuring data accuracy and integrity.

Use programming, statistics, and visualization to analyze clinical and claims data, generate insights for provider performance and cost trends, deliver presentations, maintain QA and documentation, support cross-functional teams, and perform ad hoc analyses to improve care for vulnerable populations.

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.

The Senior Product Data Analyst drives insights to shape product decisions, collaborates with UX and Engineering, and builds dashboards.

Lead digital measurement and analytics for Amfam.com, owning GA4 implementation, tracking, and reporting. Analyze traffic, engagement, conversion, and e-commerce performance; develop automated reporting and decision analytics; audit and maintain data integrity; and collaborate cross-functionally to translate insights into actions that improve conversion and digital outcomes.

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.

As a Data Analyst Intern, you will assist in data collection, cleaning, analysis, and visualization to support business decisions in a remote setup.

Analyze large training and telemetry datasets using SQL and Python to measure ROI and human risk, build executive dashboards in Looker/Tableau, audit data integrity, run behavioral analyses to identify high-risk cohorts, and present actionable insights to federal stakeholders while partnering with Data Engineering and Product.

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.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

Partner with product squads to own end-to-end analyses: define questions, write SQL, model event-level data, build dashboards and self-serve tools, evaluate experiments, and deliver clear, actionable recommendations to PMs, marketers, and leaders.