Top Data Analyst Jobs in Boston, MA

The Supply Chain Data Analyst will enhance operational efficiency by managing procurement, auditing supply chain workflows, and exploring automation and AI opportunities.

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.

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.

Support Finance and Sales by reconciling and validating revenue KPIs (ACV, ARR, renewals), building reporting datasets and dashboards, collaborating with CRM and data engineering teams, and participating in month-end and quarter-end close activities. Provide ad-hoc analysis and stakeholder-facing explanations of metric derivation and data quality.

Designs, develops, and maintains high-quality clinical databases; programs data capture solutions; ensures data integrity and standards compliance; collaborates with cross-functional study teams and follows SOPs to support timely clinical data delivery.

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.

Manage collection, QC, and processing of clinical imaging and associated clinical data for studies. Develop image collection protocols compliant with GCP/FDA/HIPAA, collaborate with radiologists, maintain tracking systems, support analysis and study documentation, and improve data workflows while ensuring regulatory and privacy compliance.

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.

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

Lead global marketing data, analytics, and reporting strategy. Drive data quality, unification, and acquisition; build measurement plans, predictive models, and PowerBI reporting; partner with executives to create a data and reporting roadmap, enablement workflows, and analytics governance to improve marketing effectiveness.

Provide insights and recommendations to improve end-to-end purchase customer journeys across web and app for B2C and B2B. Lead A/B testing and experimentation, ensure accurate data collection and impact measurement, build self-service reporting and visualizations, query and process data, and present findings to stakeholders and senior leadership.

Build and maintain the company-wide data foundation for FinOps; develop pipelines, dashboards, and operating scorecards; support stakeholders across commercial, finance, clinical ops, and operations; validate metrics with analytics engineers; transform messy datasets into actionable insights and adopt AI-powered workflows to improve efficiency.

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.

Lead contact center analytics by analyzing large datasets, building predictive models, ensuring data quality, and creating dashboards. Collaborate with cross-functional teams, identify AI/automation opportunities, present insights to executives, and maintain data privacy and repeatable reporting processes to improve customer experience and operational efficiency.

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.

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

The role involves operating and improving AI-driven data quality pipelines, managing offshore teams, and ensuring data accuracy and reliability. Responsibilities include monitoring pipeline performance, refining rules, and collaborating across teams to enhance data operations.

Perform independent healthcare analytics projects for clients: use statistical tools, predictive modeling, BI/reporting and data visualization. Build reports and insights using R, SAS, SPSS, Cognos, and Business Objects, and collaborate with the Senior Consultant to maintain client relationships.

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.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.