Top Data Analyst Jobs in Boston, MA

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Analyze and visualize large customer datasets, build production-grade data models and scalable data products, automate manual analytical workflows, and create AI-assisted, conversational, and self-service analytics experiences. Translate ambiguous stakeholder needs into actionable solutions while collaborating across teams and experimenting with generative AI and modern data technologies.

Serves as an enterprise architecture subject matter expert within a DoD environment. Supports DoD Business Enterprise Architecture initiatives, business process alignment, enterprise strategy, stakeholder analysis, requirements documentation, reporting, and project activities using MEGA HOPEX and Microsoft Office tools.

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.

Develop and govern financial data solutions for Liberty Mutual’s Finance Data Platform. Analyze source data, define transformation and downstream reporting requirements, apply metadata, lineage, security, and compliance principles, and build proof-of-concept solutions using coding and financial data expertise. Collaborate with business and technology stakeholders, define impactful metrics, enable self-service data consumption, mentor junior associates, prioritize Agile work, and identify Gen AI applications for data discovery and documentation.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Lead product analytics for the Dealer team: run exploratory analyses, build and audit metrics, create dashboards, automate data transformations (dbt/LookML), partner with Data Engineering, and present insights to influence product strategy. Use SQL, Python/R, and GenAI tools to solve complex data problems and improve product performance.

Account Executives at LinkSquares manage the entire sales process, focusing on new customer acquisition through research, outreach, and closing. They prioritize teamwork, quotas, and deadlines while driving business opportunities in a collaborative culture.

Develops and governs financial data solutions for Liberty Mutual’s Finance Data Platform. Responsibilities include analyzing source data, defining transformation and downstream reporting requirements, applying metadata and lineage principles, prototyping coded solutions, testing, enabling self-service data consumption, defining business metrics, mentoring junior staff, and collaborating across finance, business, and technology teams. The role also identifies opportunities to use generative AI for data discovery, documentation, lineage summarization, prompt engineering, and code generation.

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.

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.

Analyzes HR data from HRIS, ATS, performance systems, and surveys; builds people metrics, dashboards, reports, and statistical models; identifies workforce trends; and provides recommendations to improve recruiting, onboarding, training, performance management, and other HR programs. Partners with HR business leaders, supports surveys and ad hoc requests, and communicates findings through presentations and data visualizations.

Analyze and transform cloud data using SQL, dbt, and Google Cloud; build automated pipelines, data visualizations, validation checks, unit tests, monitoring, and alerts. Partner with engineering teams and enterprise insurance clients to improve data quality, governance, automation, and decision-making. Communicate insights clearly, document technical work, develop insurance domain expertise, and contribute to collaborative reviews and on-call support.

Supports operations through advanced data analytics, statistical modeling, machine learning, and automated data pipelines. Extracts, cleans, merges, validates, and transforms data into metrics, reports, dashboards, and research-ready datasets. Develops reproducible workflows using Stata, R, SAS, Python, and SQL; implements data standards and policies; and collaborates with IT and data engineering teams to improve scalability, reliability, and analytical capabilities.

Supports operations through advanced data analytics, statistical modeling, machine learning, automated ETL pipelines, and data integration. Develops reproducible workflows, dashboards, reports, metrics, and data standards while cleaning and analyzing observational and healthcare data. Collaborates with IT and data engineering teams to improve scalable analytics infrastructure and evaluates emerging analytical technologies. Requires expertise in Stata, R, or SAS, with scripting and querying experience in Python or SQL.

Collects data from applicable systems, gathers requirements for forms and charts, analyzes data, creates visualizations, maintains databases, assists with software validation, and develops training materials. Requires strong Microsoft Office skills, communication abilities, and SAS experience, with Statistica and JMP preferred.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Entry-level Data Analyst supporting Performance & Analytics for care operations. Build, validate, and QA recurring reports and dashboards (Retool/BI tools), pull and clean payer, clinical, and operational data, investigate discrepancies, maintain workflows and reporting-ready datasets, and support ad-hoc analytical priorities.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

The Data Analyst/Programmer II designs and codes software solutions, analyzes large datasets, creates data visualizations and KPI dashboards, performs statistical investigations and root cause analysis, and collaborates with data engineers, architects, scientists, and stakeholders. The role supports Microsoft Azure Cloud and PowerApps solutions and requires SQL programming knowledge and proficiency with Power BI and SharePoint.

Leads clinical outcomes and client experience measurement, administering survey platforms, consolidating data, developing calculation methodologies, and building scorecards and recurring reports. Analyzes trends and provider network performance to identify quality improvements, operational efficiencies, and actionable insights. Collaborates on clinical research, white papers, thought leadership, and continuous improvement initiatives while communicating data limitations and recommendations to clinical and business stakeholders.

Loads and validates hospital chargemaster and healthcare data into SQL databases using Excel templates and proprietary tools. Maintains databases, retrieves CMS data, prepares spreadsheets and reports, tracks client tasks, and supports financial analytics. Collaborates closely with clients and internal teams to ensure accurate, timely deliverables and provides client support. Requires knowledge of chargemaster elements, healthcare financial and patient accounting data, EHR systems, SQL, and advanced Excel proficiency.

Collects, organizes, cleans, and analyzes business data; reviews data accuracy and completeness; prepares reports, dashboards, and summaries; identifies trends supporting business decisions; and maintains spreadsheets and databases. The role is fully remote, includes paid training, and requires strong communication, organization, attention to detail, and independent work capability.

Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.

Transforms enterprise IT operations, monitoring, KPI, and performance data into executive dashboards, heatmaps, trend analyses, forecasts, anomaly detection, and narrative insights. Integrates data from monitoring, ticketing, incident, and operational systems; develops standardized reporting templates; documents analytical workflows; and collaborates with engineering, service desk, cybersecurity, and PMO teams to support federal reporting and leadership decisions.