Top Data Analyst Jobs in Boston, MA

Leads stop loss claims data coordination for primary clients, identifies claimants, prepares claim-entry data, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, specific stop loss claims expertise, and a bachelor’s degree in Business or Analytics or comparable experience.

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.

Processes and validates financial, payroll, ledger, time-tracking, expense, project, and operational data. Converts information into accurate workbooks, templates, reports, and organized deliverables while maintaining employee, project, and expense records. Researches relevant company and industry information, organizes audit documentation, supports interview qualification summaries, and manages multiple data requests and deadlines in a remote environment.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Serve as the analytics subject matter expert for VA Community Care Program Integrity. Develop complex SQL queries, validate enterprise healthcare data, manage data quality, build KPI dashboards, support pilot data environments, and deliver operational reports and documentation. Collaborate with program, clinical, technical, and evaluation teams to translate complex VA datasets into actionable insights while meeting federal data governance, privacy, and system-access requirements.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

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.

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.

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.

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.

Develop KPI frameworks, track SLA performance, analyze operational data and alerts, and produce recurring reports for a federal and DoD-aligned mission environment. Validate and reconcile data across sources, support dashboard and engineering teams, identify trends and anomalies, and provide actionable insights and executive summaries. The role also maintains reporting standards, documents analytical processes, and supports operational and leadership decisions.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Analyzes complex datasets to uncover business insights, develops dashboards and reports using SQL and visualization tools, and presents recommendations to stakeholders. Partners with engineering, operations, and other teams to solve business problems, prioritize strategy and projects, manage deliverables, and ensure data accuracy and timeliness.

Clean, structure, and analyze primary market research data using statistical tools; produce client-facing cross-tabulations; perform survey and data quality assurance; maintain databases and data systems; and improve processes while collaborating with research, marketing sciences, and publishing teams.

Own customer experience and delivery metrics, dashboards, and reporting across Support, Professional Services, Customer Success, and Renewals. Analyze customer, operational, usage, and financial data to identify risks, trends, bottlenecks, and renewal threats. Partner with leaders to define KPIs, translate business questions into recommendations, validate data quality, automate reporting, and build self-service analytics. Collaborate with AI teams to measure the impact of AI-driven tools.

Perform structured data conversion, cleansing, validation, and mapping for system implementations. Execute validation scripts, support UAT, document discrepancies, reconcile legacy and converted data, and escalate anomalies to senior consultants while maintaining organized records and templates.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Analyzes digital customer and product data to deliver dashboards, reporting solutions, experimentation measurement, journey analytics, attribution insights, and ad-hoc analysis. Partners with Digital Product and Technology teams throughout the product lifecycle, validates data and tracking solutions, supports platform modernization, performs data quality checks, and translates business questions into scalable business intelligence products while maintaining risk and regulatory controls.

Leads advanced people analytics using Workday as the foundation for workforce insights, planning, retention, compensation, and talent decisions. Develops analytical datasets, metrics, dashboards, predictive models, and executive reporting; establishes data definitions, governance, quality controls, and architecture standards. Partners with HR Technology, Finance, HR leaders, and business executives to translate complex workforce data into strategic recommendations. Serves as a Workday and people-data subject-matter expert, mentors analysts, and influences enterprise decisions through clear storytelling.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

The Senior Data Analyst supports Risk Management and Compliance reporting by collecting, validating, analyzing, and modeling data. The role develops dashboards, reports, visualizations, governance practices, and automation using SQL, Excel, Power BI, SSAS, and VBA. Responsibilities include data quality management, systems testing, requirements documentation, UAT support, executive presentations, risk insights, stakeholder collaboration, process improvement, and mentoring junior analysts.