Top Healthtech Data & Analytics Jobs

Designs, builds, and maintains data engineering solutions and ETL/ELT pipelines supporting oncology research and life sciences customers. Collaborates with clinical analysts, scientists, oncologists, and project managers to deliver reliable, high-quality data products. Responsibilities include translating research needs into technical solutions, mentoring engineers, participating in code reviews, improving processes, monitoring CI/CD, and troubleshooting pipeline issues.

Designs, builds, and maintains data solutions and pipelines supporting oncology research and life sciences customers. Collaborates with clinical analysts, scientists, oncologists, and project managers to translate research needs into reliable technical solutions. Ensures data quality, monitors CI/CD pipelines, resolves issues, improves engineering processes, participates in code reviews, and mentors junior engineers.

Leads an analytics engineering team, setting technical direction, managing prioritization, hiring, and development. Owns the analytics roadmap across data modeling, business intelligence, and AI-enabled analytics; partners with Engineering to build reliable pipelines and trusted data foundations. Provides high-impact analysis, translates ambiguous business questions into actionable insights, and promotes data-driven decision-making across operations, marketing, product, and leadership.

Develops, implements, supports, and troubleshoots operational and project reports using Epic Cogito data, SQL, relational databases, and business intelligence tools. Documents reporting requirements and technical specifications, supports Epic upgrades, consults on clinical workflows and application configuration, resolves incidents, and collaborates with customers, vendors, and technical teams. The role may require 24/7 on-call support and focuses on maintaining reliable, optimized healthcare reporting solutions.

Leads complex data platform initiatives from discovery through delivery, translating business needs into technical requirements, user stories, and documentation. Partners with business, analytics, engineering, and architecture leaders; facilitates Agile ceremonies; supports roadmap development, data quality standards, root cause analysis, and validation procedures. The role also mentors Business Analysts, establishes documentation and analysis best practices, and represents the data platform team in enterprise planning and change initiatives.

The Lead Economist will build EliseAI’s housing economics research and market insights function. Responsibilities include analyzing proprietary data, creating housing benchmarks and reports, developing compelling narratives, presenting findings to executives, clients, and media, and partnering with marketing, product, and data teams. The role will also expand research through media and academic partnerships and strengthen the company’s employer brand. Candidates need strong quantitative storytelling, modern data-stack skills, housing interest, and willingness to work in-office four to five days weekly.

Analyzes pricing performance, competitive matching, price perception, margins, and data quality using SQL and analytical tools. Builds reporting and monitoring, investigates root causes, supports pricing initiatives, validates results, maintains recurring processes, and recommends improvements. Collaborates with Analytics, Data Science, Product, Technology, Merchandising, and other teams to clarify needs, improve tools and automation, and communicate actionable findings.

Validate and review CO APCD-derived data products using SQL and visualization tools, perform output comparisons and project-level analyses, follow quality control standards, document findings, and communicate results to technical and non-technical stakeholders while supporting continuous improvement of data QA processes.

Designs and delivers analytics solutions, dashboards, reports, and operational data workflows for customers and internal teams. Partners with stakeholders and engineering teams to define data needs, optimize databases and ETL processes, model data, and resolve reporting incidents. Provides healthcare analytics and Social Determinants of Health expertise while supporting data storytelling, KPI development, cloud data warehousing, AI-assisted workflows, and conversational analytics initiatives.

Build and maintain BI dashboards, reports, curated data models, and analytical datasets. Partner with stakeholders to define KPIs, translate business needs into reporting solutions, validate data accuracy, document metrics, troubleshoot discrepancies, automate recurring reporting, and support data-driven operational insights.

Leads quantitative and qualitative Medicaid policy research from project scoping through dissemination. Oversees data acquisition and analysis, monitors state and federal policy changes, develops briefs and presentations, conducts stakeholder interviews, supervises research staff, manages external collaborators, and translates findings into actionable recommendations for policymakers, providers, advocates, and the public.