Top Healthtech Data & Analytics Jobs

Build and manage healthcare data and machine learning pipelines using Python and SQL. Responsibilities include feature engineering, data modeling, schema design, integrating new data sources, documenting and versioning code, scaling pipelines, managing client data SLAs, and collaborating with data scientists, project managers, clients, and healthcare stakeholders.

Leads global people analytics, HCM reporting, and U.S. compliance reporting using Workday and PeopleSoft. Develops reporting solutions, gathers requirements, manages testing, troubleshoots integrations and workflows, maintains data mappings, and supports data audits. Partners with HR stakeholders on projects, ad hoc requests, privacy reviews, documentation, and training. Oversees reports including EEO, AAP, VETS-4212, California pay data, and other regulatory submissions while improving enterprise reporting processes.

Develop and optimize Oracle Fusion Data Intelligence analytics, reporting, semantic models, data integrations, and augmentation solutions. The role supports Oracle ERP, HCM, and SCM data, including OTBI, BI Publisher, ODI, ETL, SQL, and PL/SQL development. Responsibilities include requirements gathering, data cleansing and validation, cross-functional collaboration, and contributing to an ERP analytics roadmap. This is an onsite role in Des Moines, Las Vegas, or Portland, with an initial 3–4 month W2 engagement.

Architect and lead enterprise data platforms, pipelines, and infrastructure using Spark, Databricks, and cloud technologies. Build scalable data models and dimensional schemas, establish governance and data quality frameworks, optimize performance and reliability, and implement monitoring. Partner with stakeholders to translate requirements into technical solutions, lead design reviews, mentor engineers, contribute to platform strategy, troubleshoot complex failures, and support hiring and team development.

The Junior Reporting Analyst extracts data, develops reports, performs analytics, and creates visualizations for internal and external stakeholders. The role documents requirements, supports data integration and BI projects, communicates with business users, tests solutions, and contributes to reporting improvements using Excel, Power Query, Power BI, and practice management systems.

Leads enterprise analytics development and reporting, with primary responsibility for Tableau and emerging Power BI capabilities. Partners with executives and business teams to translate analytical needs into data models, dashboards, reports, and predictive operational metrics. Oversees Tableau content, visualization standards, quality controls, lifecycle management, external development resources, and self-service analytics adoption. Performs analysis across sales, finance, field activity, and supply chain while advising the organization on analytics strategy and data storytelling.

Designs and builds scalable analytics data models, consumption layers, and transformation pipelines supporting BI, reporting, and AI applications. Partners with stakeholders to translate business needs into technical requirements, improves data architecture and quality, applies software engineering best practices, evaluates data tools, troubleshoots issues, and optimizes data infrastructure and workflows.

Owns the end-to-end data platform, including Snowflake infrastructure, ingestion pipelines, Airflow orchestration, dbt transformations, governed gold-layer models, and metric definitions. Ensures reliability, performance, testing, documentation, governance, and CI/CD standards. Builds data systems from scratch, partners with analytics stakeholders, and uses AI-assisted development tools to accelerate engineering work. Requires strong SQL, platform ownership, software engineering practices, and experience with Snowflake, Airflow, and dbt.

Build network capacity and demand forecasts across 50 states, support clinician recruitment and retention analytics, measure clinical and scheduling outcomes, and design experiments with Product and Engineering. Develop governed data models, KPI definitions, and AI-powered analytics infrastructure. Serve as the primary analytics partner for Network leadership by translating complex, multi-source data into actionable recommendations and presenting insights to technical and executive audiences.

Analyze supply chain, marketing, brand, and customer service data for a DTC e-commerce business. Build inventory forecasting models, evaluate promotions and product launches, track customer service performance, transform Snowflake data using SQL and related tools, and develop Sigma dashboards. Partner with Supply Chain, Customer Service, Brand Marketing, and Data Engineering teams to improve forecasting, fulfillment, customer experience, and strategic decision-making.