Data Analyst Jobs in Cambridge, 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 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.

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.

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.

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.

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.

Lead analytics across business programs, delivering insights, forecasts, dashboards, and governed datasets. Partner with Data Science, Product, and Engineering to define measurement, build pipelines, monitor model health, and produce executive-ready recommendations. Establish analytics and AI best practices, mentor analysts, and replace manual processes with automated reporting and decision analytics.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Own and validate quantitative financial datasets used for factor and risk models: onboard and reconcile vendor sources, build automated data validation/monitoring, investigate anomalies, write Python/SQL pipelines, maintain documentation and runbooks, and collaborate with internal teams and vendors to productionize and maintain reliable data workflows.

The Product Operations Analyst analyzes product data and customer behavior to inform strategy, supports performance tracking, and drives continuous improvement through data insights and experimentation.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

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 Business System Specialist will manage LIMS master data, provide end-user support, ensure compliance, and assist in process development for lab data management.

Own end-to-end API integrations (ingest and export) for customer data into CoStar Debt Solutions: scoping, credentialing, mapping, reliability, monitoring, and customer support. Build production-grade REST/GraphQL/webhook pipelines, scripts for transform/validation, and evolve integrations into agent-callable typed contracts.

Perform complex data exploration and manipulation across large datasets to generate customer and digital-product insights. Design and analyze experiments, track campaign performance, build BI solutions, partner with stakeholders and product teams, maintain data quality and controls, and mentor junior analysts.

Design and maintain procurement analytics and Power BI dashboards, consolidate spend data, govern supplier/item master data, automate workflows (Power Automate/Python), support P2P system evaluation, and provide recurring reporting and strategic spend/supplier insights to enable sourcing and executive decisions.

Lead development of analytics, forecasting, and automated reporting to turn financial, capacity, and operational data into actionable insights. Build and maintain models, improve data/reporting systems, deploy automated solutions, govern analytics standards, and present findings and recommendations to technology leaders.

Partner with investment teams to source, validate, model, and report investment data. Build and maintain quantitative models, dashboards, and automated reporting; support performance attribution, risk metrics, backtesting and scenario analysis. Improve processes via automation, cloud and emerging analytics (AI/ML), and collaborate with IT and global stakeholders to ensure data quality and delivery for investment oversight and multi-manager solutions.

Lead sourcing, validating, modeling, and reporting of investment data for Investment Consultancy & Oversight and Multi-Manager Solutions. Build quantitative models, dashboards, and automated workflows; partner with analysts, researchers, and tech teams to improve data quality, performance attribution, and portfolio analytics. Drive process improvements and adopt new technologies to support investment decision-making and reporting.

The Data, Analytics & Reporting Analyst supports investment oversight and research by delivering data solutions, enhancing data quality, and developing analytical tools and reports. Responsibilities include collaborating with various teams, managing investment data, improving reporting processes, and driving innovations in data analytics and methodology.