Top Data Analyst Jobs

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Lead product analytics to measure and improve product and platform performance. Build data solutions and self-service tools, perform BI and visualization, mine diverse data sources, ensure data quality, lineage, and governance, and collaborate with product, tech, and design teams to deliver AI-enabled insights that inform strategy.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Design and implement logical and physical data models, extract/migrate and stage large datasets, perform data integration/matching and analysis, define KPIs and metrics, support online channel analytics, and deliver insights and documentation to stakeholders.

Analyze large and unstructured datasets to identify patterns, develop data-gathering applications, build performance indicators, document requirements and procedures, optimize inventory and supply processes, and create visualizations and quantitative analyses to support decision making.

Lead enterprise insurance analytics initiatives supporting underwriting, claims, finance, and operations. Build reporting and dashboards, ensure data integrity across TPAs and systems, support captive program performance, partner with actuary and IT, and present actionable insights to leadership.

Lead Analyst will define growth measurement frameworks, build marketplace and lifecycle models, run rigorous experiments and causal measurement, produce BI and growth ROI reporting, identify high-value customers/restaurants, and partner cross-functionally to instrument and automate analyses that guide strategic growth decisions.

Perform product and player-behavior analysis for Marvel Strike Force using SQL/Python and reporting tools. Build recurring KPI reports, design/validate analytics tracking and experiments, partner with cross-functional teams, and use AI-enabled tools to accelerate workflows while ensuring data quality, privacy, and clear executive-ready insights.

Support implementation, configuration, and deployment of analytic systems; generate datasets and reports; build and maintain dashboards and reporting repository; translate business requirements into system design; configure and maintain analytics tools (e.g., REDCap, Tableau); perform testing, documentation, training, and on-call support; collaborate with clinical, research, and operations stakeholders to deliver analytics products and projects.

Perform data and statistical analysis, build and maintain data models, dashboards, and reports (Power BI/Tableau). Ensure data governance and integrity, translate findings into business insights, and present results to stakeholders while collaborating cross-functionally.

Support data collection, cleaning, and preliminary analysis. Write and run SQL queries, use statistical tools and Python, produce visualizations, document methods, troubleshoot analytics tools, and collaborate with cross-functional teams to deliver actionable insights.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

Coordinate cross-agency initiatives, perform data analysis and visualization, develop data-driven plans, manage project implementation, engage stakeholders, identify and mitigate risks, track and report progress, and design change-management activities to improve service delivery and operational efficiency.

Perform end-to-end data analysis to support business strategy and operations. Responsibilities include data mining, aggregation, trending, inventory and program analysis, platform performance/milestone analytics, data governance, testing controls, monitoring data quality, and recommending policy and standards to improve operational performance.

Develop, test, and maintain analytics and reports for pharmacy operations. Translate designs into code, validate reports, document business rules and logic, and support ad-hoc and workplan analytics using SQL and Tableau.

Analyze and interpret customer and business data using aggregation, statistical analysis, and data mining. Perform ETL: extract, cleanse, standardize customer data from ERP systems and load into Salesforce. Work with clients and project leads to identify analytical requirements and maintain business solutions under general supervision.

Perform data aggregation, statistical analysis and data mining. Design, develop and maintain ETL processes to extract customer data from ERP, cleanse and standardize it, and load into Salesforce.com. Work with clients and project leads to define analytical requirements. Temporary 2-month role based in Golden Valley, MN; needs immediate start.

Perform investigations and root-cause analysis on trapped parts to reduce on-hand inventory. Use MyWorkShop (MWS) to examine ECRs/ECOs, identify causes, provide recommendations, and collaborate with product lifecycle, engineering, and sourcing teams to drive remediation.

Perform advanced web analytics to evaluate marketing and product performance using SiteCatalyst. Query and analyze data with SQL, present insights to stakeholders using Excel and PowerPoint, and collaborate with business partners to drive data-informed decisions. Contract role, SiteCatalyst certifications and Netezza experience preferred.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Senior Data Analyst with 7+ years experience performing data profiling and analysis, strong SQL/Oracle skills, and required healthcare or life sciences domain expertise. Responsible for analyzing data quality, profiling datasets, querying for insights, and communicating findings. 6-month contract; strong communication skills required.

Design, develop, and support analytics, dashboards, and reports by extracting and blending data from data warehouses and external sources. Perform statistical analysis, validate datasets, translate business requirements, and deliver actionable forecasts and decision-support solutions.

Perform data analysis and data warehousing tasks, develop and maintain SSRS reports and Business Objects artifacts, write and optimize T-SQL, execute testing, and apply healthcare domain knowledge. Contract role with strong communication skills required.

Perform data analysis and collection to meet IHC/CCAR regulatory requirements, source and enrich data, manage provider relationships, develop business specifications, and act as single point of contact for IHC projects.

Analyze datasets to generate reports and visualizations that inform business decisions. Produce regular reporting, create data visualizations, and work cross-functionally to support data-driven strategies with attention to accuracy.