Analytic Engineer (Population Health) id-22859
Join one of the nation's leading and most impactful health care performance improvement companies.Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation's leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
Data:integrate data in a flexible, open & scalable platform to power healthcare's digital transformation
Analytics:deliver analytic applications & services that generate insight on how to measurably improve
Expertise:provide clinical, financial & operational experts who enable & accelerate improvement
Engagement:attract, develop and retain world-class team members by being a best place to work
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Role: Analytics Engineer
Team: Population Health
Travel: <10-15%
Location: US Remote
The Population Health Analytics Engineer role blends deep analytical expertise with a strong understanding of healthcare processes, claims data, and population health management strategies to drive measurable improvements in cost, quality, and patient outcomes. This role supports healthcare transformation by identifying actionable opportunities that reduce the cost of care while increasing quality and ensuring success in value-based care (VBC) contracts.
The AE will play a pivotal role in analyzing medical and pharmacy claims, risk adjustment methodologies, and provider performance to inform strategic decisions. The ideal candidate will have strong SQL skills, experience working with claims data, and an understanding of population health analytics, including risk stratification, utilization trends, and quality metric reporting.
Additional responsibilities include:
Developing insights that drive population health strategies and improve clinical, operational, and financial performance.
Supporting and training client teams to build internal analytics capabilities.
Evaluating and recommending analytics applications and methodologies to deploy at client sites.
Leading analytic projects from data ingestion to insights, ensuring quality and accuracy in reporting.
Translating data insights into actionable strategies that support VBC contract success, risk management, and care coordination.
Navigating discussions with client stakeholders to drive data-driven decision-making.
Supporting the Analytic Director (AD) in client deployments, knowledge transfer, and training.
Presenting analytic findings to a variety of stakeholders, including executive leadership, clinicians, and operational managers.
What you'll own in this role:
Perform complex analyses using claims data, clinical data, and social determinants of health (SDOH) to identify opportunities for care improvement and cost reduction.
Develop and maintain analytics models for population health management, risk stratification, and quality improvement.
Analyze performance in value-based care contracts, including shared savings agreements, capitation models, and bundled payment programs.
Support healthcare cost reduction strategies by identifying high-cost utilization patterns and opportunities for intervention.
Design and implement data models and dashboards to track key performance indicators (KPIs) for population health initiatives.
Work with client data teams to validate data quality, establish best practices, and optimize data pipelines.
Collaborate with clinical, operational, and financial leaders to ensure analytics align with strategic priorities.
Maintain expertise in healthcare regulatory requirements, including CMS quality programs, HEDIS measures, and risk adjustment methodologies.
What you bring to this role:
Expert-level SQL skills for querying large datasets, including claims and encounter data.
Deep understanding of healthcare claims data, including medical, pharmacy, and eligibility files.
Experience with value-based care analytics, including risk adjustment, quality reporting, and provider performance measurement.
Knowledge of population health management strategies, including predictive analytics, risk stratification, and intervention tracking.
Experience with ETL processes and data integration in healthcare environments.
Strong ability to communicate insights to clinical and operational stakeholders.
Proficiency in data visualization tools (Tableau, Power BI, QlikView) to build user-friendly reports and dashboards.
Self-motivated and able to work independently, while also collaborating with cross-functional teams.
Desired Skills
Experience with claims-based analytics platforms and healthcare data models (e.g., CCW, HCC, Episode Groupers).
Familiarity with Medicare Advantage, Medicaid, and Commercial VBC programs.
Statistical modeling experience using Python, R, or SAS.
Working knowledge of CMS quality programs (e.g., MIPS, HEDIS, STARS).
Understanding of Lean, Six Sigma, or other process improvement methodologies.
Experience with SQL Server Integration Services (SSIS) or other data engineering tools.
Knowledge of AI and machine learning applications in healthcare analytics.
Preferred Education & Relevant Experience
BS/BA in data science, information technology, healthcare administration, business analytics, or a related field.
5+ years of experience in healthcare analytics, with a focus on claims data, VBC contract performance, and population health.
The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.
Studies show that candidates from underrepresented groups are less likely to apply for roles if they don't have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don't meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit.
