Top Data Analyst Jobs in Boston, MA

Analyze Marketing data to develop monitoring systems, standardized reports, and dashboards. Write SQL queries, support dbt models, investigate channel performance, conduct root cause analysis, communicate findings to non-technical stakeholders, track incidents, and support vendor and data infrastructure evaluations.

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.

Build and maintain Engine X performance dashboards, reporting frameworks, data models, and complex SQL analyses using Snowflake. Track card, booking, rewards, spending, and retention metrics; investigate anomalies; support A/B tests; document metric definitions; and communicate findings to product, finance, and leadership. Collaborate with analytics and data engineering teams to validate pipelines and improve data quality.

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.

Analyze financial and player activity data to support accounting, reporting, audits, and financial close. Build automated reports and reconciliations using SQL and analytics tools, investigate discrepancies, define Finance-critical metrics, maintain data controls and lineage, and improve reporting processes. Partner with Finance, Accounting, Data Engineering, and Analytics to ensure accurate, reconcilable financial data and scalable reporting solutions.

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.

Analyze centrally managed datasets using SQL and basic Python to answer ambiguous business questions, develop clear narratives, and deliver recommendations that support strategic and financial decision-making. The role partners cross-functionally with technical teams and business leaders, translates analytical findings into actionable insights, and helps maximize the value of the company’s data infrastructure.

Designs and develops system-level workforce intelligence across the employee lifecycle. Identifies workforce trends, integrates HR insights with finance and operational metrics, creates executive-ready reporting and narratives, and supports strategic planning. Partners with data product owners and cross-functional stakeholders to align workforce intelligence with Federal Reserve System priorities and HR product strategy.

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.

The Digital Data Analyst analyzes complex financial services data, develops reporting and business intelligence solutions, supports reporting modernization, and translates stakeholder needs into technical and analytical solutions. Responsibilities include SQL and database analysis, trend identification, predictive modeling, requirements gathering, testing, data transformation, and communicating actionable insights to technical and business audiences.

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.

Build risk data models, analyze fraud and risk trends, create Tableau dashboards and automated reports, and deliver actionable insights to Risk Operations leaders. The role manages analytics requirements and roadmaps while using SQL, dbt, Dataform, and AI tools to support fraud strategy, compliance monitoring, loss forecasting, and executive reporting.

Supports BILL’s risk organization through strategic portfolio planning, program and vendor management, process automation, AI tooling, dashboard development, governance documentation, and cross-functional coordination. The role analyzes project and risk data, tracks performance and ROI, develops control strategy recommendations, and communicates insights to stakeholders across risk, strategy, product, and engineering.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

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.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Collaborate with business teams to define analytics needs, explore and analyze operational and financial data, build forecasts and regression models, and create dashboards and visualizations. Communicate insights to leaders, support decision-making, contribute to data modeling, metadata, quality remediation, and adhere to data governance, security, and privacy standards.

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.

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.

Collects and validates patient-level clinical data from primary care clinics, maintains run and SPC charts, prepares recurring reports, and supports PDSA improvement cycles. Uses Excel, Google Sheets, and AI tools to clean data, synthesize feedback, identify trends, and improve workflows. Collaborates with clinic staff, project leads, and partners while ensuring data integrity, HIPAA compliance, and accurate reporting.

Collects and analyzes performance data, identifies trends, evaluates program effectiveness, and develops reports and visualizations for stakeholders. The role standardizes datasets, improves data collection and analytical methods, and supports data-driven decisions. It requires statistical analysis, data manipulation, visualization, and familiarity with machine learning and predictive analytics. The position is contingent on contract award and requires the ability to obtain and maintain an active Secret Clearance.

Analyzes complex sustainability datasets, validates calculations and metrics through QA and UAT, maintains assessment files and customer data exports, investigates data issues using SQL, and collaborates with product, engineering, and customer-facing teams. The role also supports automation, documentation, sustainability research, and reliable environmental impact reporting.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.