Hourly Pay Range:
$37.85 - $58.67 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors.
Position Highlights:
- Position: Data Analytics Analyst II
- Location: Skokie, IL or Warrenville, IL or Arlington Heights, IL
- Full Time
- Hours: Monday-Friday, 8:00am - 5:00pm
- Hybrid Position
Job Summary:
The Neaman Center for Personalized Medicine seeks an experienced Data Analytics Analyst to support clinical, operational, and research initiatives across Endeavor Health's precision medicine program — a nine-hospital initiative that has supported genetic testing, for more than 50,000 patients, through a clinical population genetic screening program. Endeavor Health is a genomic learning health system. This position serves as a key analytics partner to clinicians, genetic counselors, pharmacists, informaticists, researchers, and operational leaders, translating complex clinical and business questions into rigorous, actionable analytics.
The Data Analytics Analyst will work across a broad range of clinical and genomic data sources, including Epic Clarity and enterprise data warehouse data, to develop and maintain analytic datasets, clinical measures, reports, dashboards, and other data products. The position requires strong SQL and data analysis skills, an ability to understand complex clinical workflows and data structures, and the judgment to assess data quality and communicate limitations clearly to clinical and operational stakeholders.
This is a highly collaborative role for an individual who enjoys solving ambiguous problems, working directly with subject-matter experts, and building analytic solutions that support the delivery, evaluation, and improvement of personalized medicine. The analyst serves as the dedicated analytics resource for the precision medicine program, while also participating in a broader research scrum team alongside other analysts working on separate initiatives.
What you will do:
- Partner with clinicians, genetic counselors, pharmacists, researchers, and operational leaders to identify analytic needs and translate clinical and operational questions into measurable outcomes and analytic requirements.
- Develop, maintain, and optimize complex SQL-based queries and analytic datasets using Epic Clarity and other enterprise data sources.
- Develop Python-based data pipelines and analytic workflows to integrate, transform, validate, and analyze clinical, genomic, medication, and operational data.
- Design and maintain clinical measures, performance indicators, reports, dashboards, and other data products used to monitor personalized medicine program operations and outcomes, including patient-journey tracking (e.g., consent, assessment completion, testing turnaround, result-return timing).
- Develop analytic definitions and patient-identification algorithms for clinical populations, procedures, medications, diagnoses, genetic testing, and other programmatic measures.
- Evaluate the completeness, accuracy, consistency, and clinical validity of data across multiple sources; identify discrepancies and develop strategies to reconcile or supplement data.
- Collaborate with clinicians and other subject-matter experts to establish clinically appropriate definitions, validate analytic logic, and interpret results.
- Clearly communicate data limitations, assumptions, methodology, and analytic findings to audiences with varying levels of technical expertise.
- Develop documentation of data definitions, analytic methodologies, source-system characteristics, and known limitations to support reproducibility and appropriate interpretation of results.
- Support research and quality-improvement initiatives through data extraction, cohort development, statistical analysis, and analytic consultation.
- Identify opportunities to improve the availability and quality of clinical data, including collaboration with clinical informatics and data-management stakeholders on standardized data definitions and terminology.
- Monitor and troubleshoot existing analytic processes and proactively identify opportunities to improve efficiency, scalability, data quality, and maintainability.
- Manage multiple concurrent analytic projects, balancing stakeholder priorities, organizational objectives, project scope, data availability, and timelines.
- Present analytic findings and recommendations to clinical, operational, and research audiences using clear, audience-appropriate visualizations and presentations.
- Contribute to a collaborative analytics environment through knowledge sharing, peer consultation, documentation, and mentorship.
What you will need:
- Education: Bachelor's degree in computer science, data science, statistics, mathematics, health informatics, healthcare administration, or a related field.
- Certification(s): IHI (preferred) & Epic Cogito (preferred)
- Experience:
- 5+ years of experience in healthcare analytics, clinical data analysis, business intelligence, health informatics, or a related field.
- Strong proficiency in SQL and experience working with relational healthcare data.
- Experience working with electronic health record data, preferably Epic/Clarity.
- Experience with Python, R, SAS, or another programming language used for data analysis and/or data engineering.
- Demonstrated ability to work with complex, imperfect, and heterogeneous healthcare data.
- Strong analytical and problem-solving skills, including the ability to translate ambiguous questions into well-defined analytic approaches.
- Demonstrated ability to communicate technical concepts and analytic findings effectively to clinical and nontechnical audiences.
- Experience collaborating directly with clinicians, researchers, or other healthcare subject-matter experts.
- Strong organizational skills and ability to manage multiple projects and competing priorities.
- Unique or Preferred Skills:
- Graduate degree in computer science, statistics, data science, health informatics, or a related field.
- Experience with precision medicine, genomics, pharmacogenomics, oncology, or other clinical specialty data.
- Experience developing clinical quality measures, patient cohorts, or population-health measures.
- Experience with clinical terminology, medication data, diagnosis data, or other standardized healthcare vocabularies.
- Experience developing data pipelines or other production-oriented analytic workflows.
- Experience with Tableau or other business intelligence and data-visualization platforms.
- Experience conducting clinical data validation.
- Experience supporting clinical research or quality-improvement initiatives.
- Familiarity with clinical workflows and healthcare data architecture.
Technical Skills: The following technical skills are not all required at hire but represent the toolkit that would allow an incumbent to be effective in this role.
Programming & Statistical Analysis
- Python, with familiarity in Pandas, SciPy, and Statsmodels.
- Statistical modeling and hypothesis testing.
- Quantitative research methods.
SQL
- All join types, aggregation, and set operations.
- DDL/DML.
- Correlated and non-correlated subqueries.
- Window functions and common table expressions.
- Query optimization.
Clinical Data Systems
- Epic Clarity and the Clinical Data Model.
- Experience integrating multiple internal and external data sources.
- Familiarity with external/public data sources such as CDC and NLM.
Environment & Tooling
- Git/GitHub
- Linux
- PuTTY/WinSCP or similar remote access/file transfer tools
Reporting & Visualization
Healthcare Content Knowledge
- Healthcare workflows, particularly orders and encounters.
- ICD-10/ICD-9, CPT/HCPCS coding, and claims data.
- Basic genetics.
Benefits (For full time or part time positions):
- Incentive pay for select positions
- Opportunity for annual increases based on performance
- Career Pathways to Promote Professional Growth and Development
- Various Medical, Dental, Pet and Vision options
- Tuition Reimbursement
- Free Parking
- Wellness Program Savings Plan
- Health Savings Account Options
- Retirement Options with Company Match
- Paid Time Off and Holiday Pay
- Community Involvement Opportunities
Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit .
When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential.
Please explore our website () to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”.
Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information.
At Endeavor Health, we are united by a shared commitment to working together to create a culture of connection and belonging—each of us bringing different skills and experiences as we deliver safe, seamless, and personal care. Every person, every time. We are committed to fostering an environment where all team members can be their best, learn, and pursue excellence together.
EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor.