Data Analytics Analyst II

nshs; Skokie (IL); Hybrid; USD 52,000 - 81,000; Full time

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. The analyst translates complex clinical questions into rigorous analytics and crafts datasets, measures, and dashboards using Epic Clarity and enterprise data sources.

This role requires strong SQL, data analysis, and Python skills, collaboration with clinicians and researchers, and a drive to

Qualifications

• Bachelor's degree in computer science, data science, statistics, mathematics, health informatics, healthcare administration, or a related field.
• IHI (preferred) & Epic Cogito (preferred).
• 5+ years of experience in healthcare analytics, clinical data analysis, business intelligence, health informatics, or a related field.

Responsibilities

• Partner with clinicians, researchers, and leaders to identify analytic needs and translate questions into measurable outcomes.
• Develop, maintain, and optimize SQL queries and analytic datasets using Epic Clarity and data sources.
• Create Python-based data pipelines to integrate and analyze clinical, genomic, and operational data.
• Design clinical measures, dashboards, and reports to monitor program operations and outcomes.
• Develop analytic definitions and patient-identification algorithms for clinical populations and procedures.
• Evaluate data quality across sources and communicate limitations clearly to stakeholders.
• Collaborate with subject-matter experts to validate analytic logic and interpret results.
• Document data definitions, methodologies, and data-source characteristics for reproducibility.
• Support research and quality-improvement efforts through data extraction and cohort development.
• Identify opportunities to improve data availability, quality, and pipeline efficiency.

Skills

SQL

Data analysis

Python

Education

Bachelor's degree in related field

Tools

Epic Clarity

Enterprise Data Warehouse

Job description

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 rela