Top Data Analyst Jobs

Lead strategic analytics and partner with senior leadership to drive growth, margin, and retention initiatives. Build interactive reporting (Python/Streamlit, BigQuery-connected Google Sheets), perform deep EDA in Jupyter, model and clean data with SQL and dbt, integrate secure AI-assisted tools and automation, ensure analytical quality, and translate insights into measurable business outcomes.

Transform Medicare/CMS claims into reproducible measures and benchmarks for Home Health and Hospice. Build and optimize SQL-based extracts in BigQuery, translate CMS methodologies into analytics, validate metrics against CMS benchmarks, investigate data quality, prepare outputs for BI tools, and collaborate with product and engineering teams.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

Leads the design and delivery of scalable analytics solutions using Azure Databricks, Power BI, and related platforms. Transforms and validates structured and unstructured data, applies statistical techniques, develops dashboards and analytical models, and implements data governance and quality processes. Partners with business and technology stakeholders to translate requirements into technical solutions, provides peer guidance, monitors data trends, and communicates actionable insights to technical and non-technical audiences.

Analyze product and business data to generate actionable insights, conduct hypothesis-driven investigations and A/B tests, build business intelligence dashboards and alerts, recommend analytics tools, and track lifetime value and cohorts. The role partners with developers, the Head of Growth, and executive leadership to influence product strategy and live operations.

Develop and maintain data models, semantic layers, dashboards, and Python- and SQL-based reports for claims analytics. Analyze operational performance, investigate root causes, and provide actionable recommendations to leadership. Collaborate with engineering, operations, and other stakeholders to translate source systems into standardized data models and deliver effective analytical solutions. Communicate findings through clear writing and presentations while helping shape a growing data team.

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.

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.

Owns data operations supporting client reporting, campaign delivery, and month-end billing. Troubleshoots data and backend issues across Salesforce, Fivetran, Snowflake, Sigma, and partner platforms; builds workbooks, views, models, dashboards, and custom analyses; manages permissions, onboarding, data feeds, and external data delivery; resolves campaign, reporting, reconciliation, attribution, and data-quality issues; automates processes and coordinates cross-functional resolution.

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

Build scalable analytical products, data models, automation, and measurement solutions for the Individual Investors business. Apply advanced statistics, forecasting, machine learning, experimentation, optimization, and simulation to complex business problems. Use SQL, Python, cloud data warehouse practices, version control, testing, and documentation to create reliable, reusable capabilities. Partner with technical and business stakeholders, communicate insights, and improve analytical solutions through Agile delivery and engineering discipline.

Supports M&A acquisition integrations by collecting, cleaning, normalizing, validating, reconciling, and mapping seller data into Quench systems. Coordinates with sellers and internal teams to resolve data issues, maintain readiness trackers, prepare cutover materials, and verify migrated customer, billing, service, route, asset, and pricing data. Develops reporting and dashboards while partnering with IT on AI-enabled data intake, validation, exception management, workflow summarization, and process improvement. The role offers progression toward integration leadership within 12–18 months.

The Data Governance Analyst will develop data standards, conduct quality assessments, maintain documentation, collaborate with teams, and participate in training on governance practices.

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.

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.

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 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.

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.

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.