Top Data Analyst Jobs in Boston, MA

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 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.

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.

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.

Build and maintain dbt models, write SQL to investigate and validate data, implement data quality checks, document lineage and metrics, resolve production issues (including on-call), and partner with analysts and business teams to deliver production-ready data products using modern warehouse tooling and AI-assisted frameworks.

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.

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.

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.

Own end-to-end analytics for content marketing: collect and transform data, analyze performance using Adobe Analytics, Snowflake, Sigma, ContentSquare, BrandWatch and Google Search Console, produce reports and quarterly reviews, provide strategic recommendations, and collaborate cross-functionally to improve content strategy and data governance.

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.

The Senior Marketing Data Analyst will enhance marketing performance through data analysis, optimization strategies, and collaboration with marketing stakeholders, focusing on Checking and Deposit Acquisition.

The Lead Investment Data Analyst will design and operate data solutions, manage data quality, and mentor a team while collaborating with various business units.

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.

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.

Lead end-to-end marketing performance measurement, develop analytics frameworks, deliver insights, and drive business outcomes through advanced analytics and stakeholder collaboration.

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

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.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.

As a Data Analyst Intern, you will collect, analyze, and interpret data, create visualizations, and support reporting efforts to drive business decisions.