Top Data Analyst Jobs in Boston, MA

Leads advanced analytics, reporting, scalable data models, dashboards, and data pipelines supporting Business and Marketing teams. Partners with senior stakeholders and AI Engineering to implement AI and machine learning workflows, predictive insights, and automation. Develops documentation, drives analytics engineering best practices, and mentors team members. Requires strong SQL, Python, APIs, data modeling, stakeholder communication, project leadership, and blockchain expertise.

Develop market intelligence, forecasting, statistical models, scenario analyses, and automated reporting for supply chain decisions. Integrate internal and external datasets using Python, R, SQL, and other tools; build dashboards; support data governance; and translate analytical findings into recommendations for procurement, planning, and executive stakeholders.

Lead complex data analysis across Liftoff’s supply-side business, using optimized SQL on large-scale datasets and BI tools to build dashboards, reporting pipelines, and actionable insights. The role conducts root-cause analysis, evaluates experiments, translates technical developments into business impact, leads cross-functional initiatives, and mentors analysts. It partners with Engineering, Product, Data Science, Finance, Commercial teams, and executive leadership to influence roadmap and operational decisions.

Owns marketing and go-to-market analytics, KPI definitions, attribution, campaign and sales-play measurement, scoring-model evaluation, dashboards, and weekly leadership reporting. The role reconciles Salesforce, HubSpot, and attribution data; partners with data teams on source-of-truth datasets; and builds AI-powered analytics agents, automated reporting, anomaly alerts, and data-quality processes to guide budget and pipeline decisions.

Supports enterprise applications, ERP administration, reporting, dashboards, business intelligence, SQL development, data validation, integrations, and institutional reporting. Troubleshoots system and data issues, assists end users, supports upgrades and testing, and collaborates with campus departments to deliver technology and analytics solutions while protecting institutional data.

Performs data analysis, cleans and validates data, identifies trends and anomalies, builds dashboards and reports, and supports KPI development. Collaborates with engineers and business stakeholders to improve data quality, pipelines, reporting requirements, and analytical processes. Leads data-driven change management, communicates insights, shares best practices, and may support urgent IT incidents.

Manage market data budgeting, forecasting, invoices, accruals, purchase orders, and month-end close activities. Build executive dashboards and financial reports, validate vendor charges, maintain contract and pricing data, and collaborate with business units and vendors to control costs while maintaining service quality.

Leads business analysis for regulatory data and system capabilities across the GRIDS portfolio. Partners with regulatory stakeholders and Digital & Technology teams to elicit requirements, facilitate workshops, assess process and data impacts, create functional specifications and user stories, support Agile delivery, and improve regulatory processes, data quality, and system adoption. Requires substantial life sciences or regulatory business analysis experience and knowledge of Veeva RIM and GxP environments.

Serves as a strategic liaison between regulatory stakeholders and Digital & Technology teams. Elicits and documents requirements, facilitates workshops, translates business needs into specifications and user stories, assesses process and data impacts, supports Agile delivery, and identifies opportunities for regulatory process optimization, data quality improvement, and system capability advancement.

Leads quality data analytics and oversight for R&D digital initiatives. Builds dashboards, reports, data foundations, and visualization solutions; defines data-quality rules; investigates data issues; supports digital-tool maintenance, access, training, and adoption. Ensures compliance with SDLC, GxP, and ALCOA+ standards while modernizing quality reporting. Partners with stakeholders, IT, and business teams using Agile and design-thinking practices, and communicates delivery status, risks, and issues to leadership.

Analyze mobile app activation, feature adoption, onboarding, engagement, retention, funnels, cohorts, and A/B tests. Build SQL and dbt models, dashboards, and self-service reports using BigQuery and GCP. Partner with product and engineering teams on instrumentation, identify data issues, automate reporting with AI tools, and communicate actionable insights to nontechnical stakeholders.

Owns end-to-end customer analytics workstreams, including KPI frameworks, multi-source dashboards, reporting, data governance, quality assurance, and insight delivery for government digital communications programs. Presents recommendations to stakeholders, mentors junior analysts, leads Agile ceremonies, documents analytics practices, resolves data issues, and evaluates AI-assisted analytics tools.

Supports the Indian Health Service EHR modernization program by mapping legacy reports to new Oracle Health functionality, explaining reporting and analytics capabilities, documenting workflows, supporting data governance, and gathering requirements. Serves as a healthcare IT subject matter expert coordinating with stakeholders, vendors, and implementation teams. Requires extensive healthcare reporting and analytics experience, Oracle Health EHR knowledge, complex project management experience, Public Trust Level 5 eligibility, and travel up to 25%.

Manages sales incentive compensation data, Workday quality, Fusion configuration, eligibility records, KPI processes, financial modeling, reporting, audits, payroll uploads, and incentive payments. The role supports plan implementation, data validation, participant communications, system training, employee movement updates, and quarterly calculations. It collaborates with People Operations, Finance, HR, leadership, and external vendors to ensure accurate incentive payouts and reporting.

Conduct geospatial and molecular HIV data analysis using R, SQL, or Python; manage, merge, validate, and document datasets; support data governance, reporting, and dissemination; and develop or maintain Power BI dashboards. Collaborate with analysts, review data quality issues and error logs, document corrections, and provide project updates while supporting CDC public health surveillance initiatives.

Develop and maintain Tableau dashboards, data visualizations, analytics solutions, and reporting tools. Clean and transform data using Databricks, SQL, and Python; identify workflow automation opportunities; and partner with stakeholders to deliver analytics and AI use cases. The role also involves client presentations, requirements gathering, business development support, and federal government consulting.

The Finance Data Analyst manages finance ETL processes, reconciles enterprise data warehouse outputs, investigates discrepancies, and validates insurance financial data. Responsibilities include SQL-based analysis of premiums, commissions, taxes, fees, and payments; building automated controls and exception reports; supporting Finance reporting and close activities; documenting data processes; and partnering with Finance and data engineering teams to improve data quality and reliability.

Develops dashboards, data models, reports, and analytical solutions that transform raw data into actionable business insights. Partners with stakeholders, provides technical guidance, documents architectures and processes, troubleshoots analytics solutions, and communicates findings to technical and non-technical audiences. Requires advanced Spotfire, SQL, business intelligence, and data analytics expertise, with knowledge of Databricks, Power BI, Python, R, Salesforce, and modern data architecture.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Analyze customer lifecycle and Customer Success data to measure attribution, campaign performance, product adoption, retention, and revenue impact. Build multi-touch attribution models, integrate digital engagement data with Gainsight and CRM events, clean and unify datasets, segment audiences, identify journey bottlenecks, and create Tableau or Looker dashboards. Partner with Campaign Strategy, Product Insights, and CS Operations teams to deliver actionable recommendations and improve automated and human customer interventions.

Supports insurance financial data analysis, source-to-target reconciliation, data conversions, reference data maintenance, and financial close activities. Validates premium calculations, investigates variances, supports General Ledger reporting, and documents audit and SOX evidence. Owns business and technical stories, manages development backlogs, coordinates testing and releases, and partners with finance, developers, QA teams, project managers, and senior leaders to deliver data and systems enhancements.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Supports financial reporting, revenue forecasting, consolidation, variance analysis, and reporting governance for the Customer Solutions Group. Analyzes financial and operational data, builds dashboards, improves data quality, and supports AI enablement, process automation, and responsible analytics adoption. Partners with Finance, IT, data, and technology teams to translate business needs into reporting and automation solutions.

Performs post-visit clinical research data management and imaging quality review, including uploading echo images, resolving data queries, checking completeness and integrity, supporting database locks, maintaining trial documents, escalating data issues, identifying potential adverse events, and training sonographers. Collaborates with cardiology, sonography, clinical operations, and project management teams while ensuring compliance with GCP and applicable regulations.

Owns analytics for BILL’s payments products, setting the measurement agenda, defining KPIs and OKRs, building production-grade dbt models, and conducting experimentation and causal inference. Partners with Product, Engineering, Finance, Marketing, and leadership to identify opportunities, improve data quality, automate reporting, and influence roadmap decisions. Presents executive insights and defends metric definitions and recommendations.