Top Data Analyst Jobs in Boston, MA

Analyze, clean, transform, and integrate data from multiple sources; identify trends, anomalies, KPIs, and business insights; and create scalable Tableau dashboards, reports, and visualizations. Develop Tableau Prep workflows, support data governance, optimize data retrieval with engineering and IT teams, and communicate actionable recommendations to technical and executive stakeholders. The role also uses statistical analysis, ServiceNow operational analytics, and business intelligence tools.

Leads business analytics engagements, translating stakeholder needs into data requirements, models, dashboards, forecasts, statistical analyses, and actionable recommendations. Performs data exploration, querying, modeling, and visualization across large datasets; supports data governance, quality, security, and stewardship. Mentors analysts, communicates insights to leaders, collaborates with enterprise data teams, and identifies opportunities to apply machine learning in business decision-making.

Leads complex analytics initiatives for the Consumer Deposits portfolio, owning Net Present Value methodology and models. Translates ambiguous business questions into scalable datasets, analytical products, and actionable insights supporting pricing, marketing, product, customer, and strategic decisions. Partners with senior stakeholders and cross-functional teams, manages projects independently, improves analytical methodologies and governance, and mentors analysts.

Analyzes and interprets data, evaluates results, and provides actionable insights to support strategic decision-making across departments.

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 banking and financial crime data, develop and tune statistical and machine learning classification models, evaluate model performance, identify data quality issues, and recommend optimization strategies. The role uses Python and SQL for feature engineering, statistical modeling, automation, and large-scale data processing. Responsibilities also include documenting methodologies, reporting results to management and regulators, and collaborating with compliance, technology, business, and model governance teams.

Own and improve financial planning, forecasting, reporting, and analytical tools. Serve as the OneStream CPM subject matter expert, maintain data pipelines and models, build KPI dashboards, support financial reviews and board reporting, and lead Analysis of Change processes. The role connects enterprise systems, Databricks, and CPM while partnering cross-functionally and maintaining analytical documentation and standard operating procedures.

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.

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.

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.

Supports the Quality department by extracting, cleaning, analyzing, and visualizing manufacturing, testing, and service data. Builds dashboards, identifies trends and root causes, supports nonconformity and CAPA investigations, maintains quality records, and communicates findings to cross-functional teams. The role also assists with audits, 8D reports, continuous improvement, and quality metric reporting.

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.

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.

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.

Processes client-requested data changes, creates data transfer packages, and writes SQL queries against Microsoft SQL databases. Conducts risk assessments, verifies data updates and transfer datasets, creates stored procedures, monitors data across databases, and supports clinical study implementation. Requires strong attention to detail, documentation, communication, prioritization, and occasional after-hours technical support.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Analyze financial services and consumer datasets using statistical methods, quantitative models, and SQL to generate investment insights. Serve as a client-facing subject matter expert, support data trials, explain data methodologies, develop research materials, and collaborate with Product, Data Science, Technology, Commercial, and Client Success teams to improve data products and client adoption.

Staff Data Analyst leading complex, cross-functional analytics initiatives and executive-level decision support. Responsibilities include defining metrics, building scalable data models and infrastructure with dbt, ensuring data quality and governance, developing analytical roadmaps, mentoring analysts, improving data literacy, and advising Sales, Marketing, Finance, and Operations stakeholders.

Analyzes pharmacy benefit management claims, application engagement, and clinical program effectiveness. Develops advanced analytics, reporting frameworks, automated data tools, and scalable data processes; investigates reporting variances; and delivers insights to clients and internal stakeholders. The role also supports strategic decision-making, gathers requirements, identifies analytic product opportunities, and mentors junior analysts.

Serves as the liaison between business stakeholders and ServiceNow developers, gathering requirements and mapping business processes to workflows. The role supports dashboards, KPIs, performance analytics, data validation, cleansing, transformation, testing, UAT, documentation, data governance, compliance, training, and process optimization. It develops user stories, acceptance criteria, and test scripts while helping federal agencies improve ServiceNow reporting, workflow automation, and operational performance.

Analyze financial and donor data, produce reports for leadership and stakeholders, track fundraising and spending trends, support dashboard development, and ensure accurate, documented, reproducible analysis. The role also involves maintaining clean financial data and collaborating with finance team members. This is a remote, part-time volunteer position requiring at least 2–3 hours weekly.