Top Healthtech Data & Analytics Jobs

Lead client-facing analytics engagements during new community deployments. Scope technical requirements, build and maintain secure bi-directional data pipelines, and develop custom analyses, data models, and dashboards to deliver measurable client value within the first 3–6 months. Coordinate between clients, operations, and data architecture teams; travel up to 25% for on-site work.

The Senior Data Analyst will partner with clinics to analyze financial performance and operational efficiency, design reports, and communicate insights effectively.

Lead the nonprofit's shift to data-informed operations by extracting, analyzing, and visualizing clinical and operational data. Build and maintain Tableau/Metabase dashboards, ensure state contract compliance, perform ad-hoc analyses, improve data quality with clinical teams, and recommend centralized data workflows to streamline multi-system reporting.

Design, build, and maintain scalable, production-ready data pipelines and dbt transformations in Snowflake. Automate ingestion, validation, CI/CD (GitLab), and monitoring. Create Power BI datasets and partner with clinical and business stakeholders to translate needs into analytics solutions, mentor team members, and improve platform architecture for healthcare data use cases.

Lead analytics for Internal Audit Claims: extract, transform, reconcile, and validate large claims datasets; build and maintain Power BI reports/dashboards; perform QA and tie-outs; support automation, bots/AI enablement, and executive reporting; mentor other analysts and partner with audit, IT, and business stakeholders to deliver repeatable, validated analytics.

Lead design, development, and optimization of Power BI dashboards and data models, analyze complex business problems using SQL and large datasets, deliver insights to executive leadership, maintain data accuracy and KPIs, drive BI process improvements and automation, and serve as the Power BI subject-matter expert across cross-functional teams.

Manage Wisconsin Medicaid BI reporting suite, develop analytics and cloud-based solutions, ensure data quality, analyze data and create visualizations to drive decisions, communicate insights to stakeholders, and travel quarterly for team meetings.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Lead design, development, and governance of commercial reporting and Power BI dashboards; translate business questions into scalable analytics; manage sales reporting, KPI definitions, data quality, and dashboard lifecycle; provide training, executive-level analyses, and oversee a team while ensuring data privacy and integrating AI capabilities.

Lead the automation and technical design of scalable data solutions, mentoring engineers, driving operational efficiency, and applying AI techniques in data management.

Lead enterprise analytics, BI, and reporting services to deliver trusted metrics, governed datasets, dashboards, and consultative insights. Drive analytics strategy, reporting standards, self-service enablement, advanced analytics adoption, data governance, and team development to support clinical, operational, financial, and strategic decision-making across the organization.

This role involves enhancing data quality through analysis and reporting, collaborating with teams to modernize data infrastructure and drive business insights.

Lead data-driven pricing, network strategy, and contract analytics to optimize provider networks and reduce cost of care. Build predictive models, maintain data integrity, create dashboards and reports, support contract valuation and negotiation, and present recommendations to leadership.

The Business Analyst works on client projects related to software implementation in healthcare, analyzing requirements, developing documentation, conducting trainings, and validating deliverables.

The R Programmer prepares clinical trial data, performs PK/PD analysis, creates visualizations, ensures CDISC compliance, and validates programming outputs.