Top Healthtech Data & Analytics Jobs

Designs and maintains Snowflake data models and ingestion pipelines supporting enterprise reporting across retail, cultivation, manufacturing, marketing, and finance. Refactors Power BI logic into governed, tested, version-controlled warehouse models; establishes modeling standards, data quality monitoring, documentation, and lineage. Partners with analysts and stakeholders to develop reusable reporting solutions, supports semantic and BI tooling, evaluates data platform technologies, mentors analysts, and contributes to shared pipeline ownership.

Designs, develops, tests, and maintains reports, analytical models, programs, and documentation supporting health plan operations. Uses SQL, ETL, reporting, and database technologies to translate business requirements into data-driven solutions. Manages analytical workspaces, resolves cross-departmental issues, participates in peer reviews, and mentors team members and business partners.

Analyze clinical trial and imaging data to identify trends, anomalies, and data-quality issues. Aggregate information from Power BI reports, EDC, CLARIO, and other sources; create dashboards and customized reports; troubleshoot discrepancies; and develop tools that improve analysis efficiency. The role partners with clinical and cross-functional teams to support forecasting, reporting, process improvement, and evidence generation for transcatheter heart valve products.

Owns the company’s BI platform and data strategy across clinical, operations, finance, and HR functions. Responsibilities include setting the analytics product roadmap, governing data definitions and PHI, managing platform architecture, building dbt models and dashboards, delivering healthcare quality and value-based-care analytics, deploying conversational AI, coordinating vendors and multi-team programs, and developing an analytics team. The role requires hands-on ownership of clinical data, EHR integrations, semantic modeling, governance, and executive reporting.

Conducts public health data validation, management, quality assurance, geospatial and molecular HIV analysis using SAS and R. Responsibilities include developing codebooks and data management plans, identifying discrepancies, performing duplicate and comparison procedures, generating reports, interpreting results, disseminating data, and collaborating with analysts, federal partners, jurisdictions, and community-based organizations.

Build, test, maintain, and enhance Workday financial reports, dashboards, and reporting solutions. Gather requirements, validate and reconcile data, document report logic, troubleshoot performance issues, support Workday implementations and releases, and train end users. Partner with Finance, HR, Supply Chain, and other stakeholders to ensure accurate, compliant, and actionable reporting across a nonprofit healthcare system.

Designs and maintains enterprise reporting, dashboards, semantic models, and analytics solutions using Snowflake, Power BI, and SQL. Translates business requirements into scalable data products, performs complex analysis, and communicates insights to technical and non-technical stakeholders. Supports data governance, quality, metadata, automation, testing, deployment, and production support. Promotes data literacy, mentors peers, evaluates emerging technologies, and contributes as an analytics subject matter expert on enterprise projects.

Leads the Data Engineering and Analytics team, managing people, strategy, intake, prioritization, data pipelines, governed reporting, and stakeholder delivery. Oversees Python, SQL, dbt, Airflow, and BigQuery data products; improves reliability, code quality, and operational processes. Guides predictive and prescriptive analytics initiatives, including forecasting, recommendation, and segmentation models, with responsible healthcare data governance. Partners with product, operations, executives, clients, and vendors while supporting accurate reports, invoices, and monthly close activities.

Designs, develops, tests, and maintains BI reports, dashboards, data models, data warehouses, and ETL processes using Microsoft BI tools. The role analyzes source data, resolves data integrity issues, supports stakeholders and end users, implements data protection solutions, and maintains documentation. This is a fully remote position with approved-location restrictions.

Designs and develops data engineering solutions in Dallas, Texas. The role requires a bachelor’s degree in computer science, computer engineering, information technology, or a related field, plus two years of experience. A master’s degree in a related field may alternatively satisfy the education requirement.