Top Data Analyst Jobs

Supports pharmacy benefit data exchanges by developing and validating claims, eligibility, formulary, and network feeds; configuring connectivity; processing manual claims; and supporting historical data loads. Monitors data movement, investigates issues, performs reconciliations and audits, and collaborates with clients, integration partners, and internal teams. The role also contributes to process improvements, documentation, training, and compliance with PBM, regulatory, HIPAA, and data governance requirements.

Senior Data Analyst responsible for integrating sales, CRM, customer, campaign, product usage, and engagement data into forecasts, dashboards, recurring reports, datasets, and actionable insights. The role analyzes pipeline performance, customer health, product adoption, retention, churn, marketing campaigns, and commercial trends. It partners with cross-functional stakeholders, defines KPIs, improves data quality, prepares executive reporting, and supports strategic decision-making through clear analysis and recommendations.

Analyze and report healthcare data while designing, maintaining, and optimizing ETL/ELT pipelines. The role requires SQL querying, data modeling and validation, dashboarding with Power BI and Excel, data governance, automation, and modernization of legacy systems. The analyst will collaborate with stakeholders to define data requirements and improve analytics and operational workflows in a regulated healthcare environment.

Designs and manages Databricks-based data platforms, develops and tests ETL/ELT pipelines, implements data quality controls, integrates APIs and data sources, monitors workflow performance, and documents data architecture. The role collaborates with stakeholders and cross-functional teams to deliver reliable data solutions, with opportunities to guide QA engineers and support Scrum ceremonies.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.

Supports Massachusetts DPH enterprise data modernization by gathering and documenting business, process, workflow, and data requirements. Serves as liaison between public health programs and technical teams, supports data onboarding to the Enterprise Data Platform, facilitates stakeholder workshops, defines requirements for dashboards and data products, validates solutions, and develops business analysis standards and documentation.

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

Analyze healthcare, financial, and utilization data to identify inefficiencies, support data-driven decisions, maintain dashboards, build analytical models, communicate insights, and monitor improvement initiatives across the organization.

Senior Data Analyst managing customer reporting needs, designing data marts and repositories, and developing Tableau dashboards and reports. Responsibilities include descriptive, diagnostic, predictive, and prescriptive analysis; achievement modeling; Excel template creation; process improvement; and calculating program results from raw data. The role collaborates with sales, client services, technical teams, and customers, requiring strong SQL, Tableau, Excel, Power Pivot, communication, and problem-solving skills.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

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.

Designs supply chain data governance frameworks, monitors data quality metrics, investigates discrepancies, and supports data cleansing across SAP ERP and WMS platforms. The role validates data integrity during migrations and integrations, develops SQL queries and Python automation, builds Power BI or Tableau dashboards, and partners with logistics, procurement, IT, and Enterprise Data teams to improve data pipelines and operational processes.

Delivers recurring weekly and monthly sales reporting for Individual Life Insurance distribution partners. Maintains Tableau dashboards and reporting templates, validates and reconciles data across sources, investigates discrepancies, handles routine ad hoc requests, follows documented processes, and escalates complex issues. The role requires accurate execution, clear communication, sound judgment, and continuous improvement of reporting quality and efficiency.

Manages enterprise data assets and designs data management strategies, governance frameworks, database architectures, and operational processes. Leads database modernization, migration, scalability, security, high availability, disaster recovery, performance optimization, automation, and capacity planning. Collaborates on architecture decisions, maintains documentation, ensures regulatory compliance, and mentors database administrators and developers. Requires seven years of experience, Epic ODBA certification, and expertise across relational and cloud database platforms, scripting, infrastructure-as-code, monitoring, and data architecture.

The Senior Data Analyst supports U.S. Housing analytics by extracting and validating data, developing SQL queries and data models, and building Power BI dashboards and reports. The role partners with business, Product, Technology, and Engineering stakeholders to deliver analyses, recommendations, and scalable reporting solutions. Responsibilities include data quality assurance, ad hoc analysis, documentation, self-service analytics, and exploring AI-assisted workflows. The position requires strong SQL, Power BI, DAX, communication, and analytical skills.

Manages item, BOM, routing, and attribute master data to ensure accuracy, consistency, and governance. Performs data validation, standardization, quality checks, reporting, and analysis using Oracle and business intelligence tools. Partners with Supply Chain and cross-functional teams, maintains SharePoint content, and supports ERP implementations, upgrades, acquisitions, and data migration initiatives.

Analyze complex financial and organizational data using SQL, dbt, and Tableau to create dashboards, models, pipelines, and actionable recommendations. Collaborate with business partners to define analytics needs, validate results, document data assets, maintain reporting tools, provide technical assistance, and present insights to leadership. The role also includes peer review, project coordination, vendor evaluation, and mentoring junior analysts.

Analyze and visualize R&ME and OEM repair data, automate tasking, maintain dashboards and Digital Coaches, support scorecard initiatives and NAVSUP R&ME activities, and create documentation. The role collaborates with branch heads, cross-functional teams, and senior stakeholders while supporting DoD weapons-system acquisition, aviation depot, MRO, and manufacturing environments.

Analyze structured and unstructured banking data to identify insights, risks, and opportunities. Partner with engineering, product, risk, compliance, and operations teams to develop governed data assets and use cases. Support unstructured data enablement, text analytics, data quality, lineage, critical data elements, and regulatory controls. Translate complex business needs into defensible data solutions across AML/KYC, fraud, reporting, customer experience, and operational efficiency.

Analyzes B2B marketing performance across campaigns and channels, builds dashboards and forecasting models, measures ROI and funnel metrics, evaluates lead and pipeline quality, supports experimentation, and presents actionable insights to guide marketing investments and partner growth.

Data Analyst Intern supporting Lyft Urban Solutions by developing reporting frameworks, defining performance metrics, building dashboards, diagnosing KPI trends, and delivering reliable insights to city partners. The role collaborates with Operations, Engineering, Data Science, Product, and Finance teams to improve bikeshare fleet management, pricing, accessibility, and infrastructure decisions.

Designs and maintains BI datasets, data models, reports, dashboards, and visualizations. Extracts and transforms ERP data using SQL and related tools, develops Python or Excel/VBA reporting solutions, and creates QVD files from disparate sources. Partners with stakeholders and IT to improve data accuracy, security, documentation, processes, and decision-making through intuitive self-service analytics.

Analyzes the RFQ-to-award pipeline, consolidates and validates business data, and develops dashboards, scorecards, forecasts, and executive reports. Evaluates win rates, proposal activity, pipeline health, revenue opportunities, and performance trends. Partners with program management, sales, engineering, estimating, and business development teams to improve data quality, standardize KPIs, automate reporting, identify process bottlenecks, and support strategic decisions.

Performs dataset evaluations, assesses data quality and analytical capabilities, and communicates findings to government decision-makers. Collaborates with software developers and engineers to shape data engineering approaches, validate application implementations, and support analytic tradecraft. Provides subject matter expertise to end users, documents data gaps, and develops repeatable evaluation processes. The role focuses on large-scale data, telecommunications and telemetry datasets, intelligence applications, and mission support.

Builds and maintains Power BI dashboards, paginated reports, semantic models, and automated data workflows focused primarily on manufacturing analytics. The role writes SQL and DAX, validates data accuracy, gathers stakeholder requirements, translates business questions into insights, presents findings, and supports self-service reporting. It collaborates with data engineering, software development, executives, and manufacturing leaders while monitoring report performance and data quality.