Healthcare Data Analyst Jobs in Chicago, IL
Healthcare Data Analyst jobs in Chicago are concentrated across hospital systems, health insurance networks, and academic medical centers in the Loop, Streeterville, and the Illinois Medical District. Employers actively hiring include Huron Consulting, Jobot, and Tendo. Find a role that fits below and apply directly.
Find Healthcare Data Analyst JobsOverview
Showing 5 of 10+ Healthcare Data Analyst jobs
Weekly outpatient therapy isn't always enough, and a trip to the ER isn't the only answer. Patients and their families rely on Compass Health Center when in crisis – every day, we help people overcome depression, anxiety, suicidality, obsessions/compulsions, trauma, chronic pain, and other obstacles in order for our patients to live freely.
About This Role
The Senior Healthcare Data Analyst is a senior individual contributor responsible for clinical, outcomes, and program analytics across the organization. This role partners with clinical, operational, and executive leaders to turn complex questions into clear, meaningful insights. A strong understanding of behavioral health care delivery is important, including the patient journey from referral and intake through admission, treatment, utilization, outcomes, and discharge. The role also helps advance AI-enabled analysis within the Data Analysis function, using AI to improve the speed, depth, and efficiency of analytical work while establishing repeatable methods, validating outputs, and ensuring appropriate human and clinical oversight.
What You'll Do
Healthcare Analytics & Insights
- Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance.
- Develop a strong understanding of behavioral health care delivery, including intake, treatment planning, group, individual and family therapy, psychiatry, documentation, authorization, outcomes, and discharge.
- Partner with clinical leaders to understand operational and clinical questions and translate them into meaningful analysis.
- Ensure findings reflect how care is actually delivered and are interpreted in the right clinical and operational context.
- Identify trends, patterns, risks, and opportunities that can improve care delivery, patient experience, or program performance.
- Turn complex findings into clear insights, recommendations, and actions for clinical and executive audiences.
- Work independently on complex analytical questions and bring forward recommendations, not just findings.
Clinical Outcomes Research, Program Evaluation & Publications
- Partner with clinical and research leaders to define research questions, outcomes measures, analytical approaches, and data requirements for clinical studies and program evaluations.
- Build accurate, well-documented, and reproducible datasets and analyses for outcomes research, program evaluation, presentations, and publications.
- Conduct and interpret analyses that evaluate patient outcomes, treatment effectiveness, program effectiveness, and differences across populations, programs, or levels of care.
- Work with clinical subject matter experts to ensure findings are interpreted appropriately and limitations are clearly understood.
- Translate findings into publication-ready tables, visualizations, summaries, and supporting materials for presentations, abstracts, manuscripts, and publications.
- Support analytical review through final presentation or publication, including refining analyses, responding to questions, and reproducing results as needed.
- Ensure research and publication-related data and analysis follow organizational privacy, compliance, governance, and data-use standards.
Analytics Partnership & Standards
- Serve as a trusted analytics partner to clinical, operational, and executive leaders.
- Help stakeholders clarify questions, define meaningful measures, and translate needs into analytical approaches.
- Establish and maintain trusted metric definitions, documentation, analytical standards, and best practices.
- Partner with other analysts and Data Engineering to support consistent definitions, reliable data, and scalable solutions.
- Move recurring analytical needs into standardized dashboards, reports, or repeatable workflows.
- Help stakeholders understand what the data shows, what it does not show, and how it should be interpreted.
- Identify opportunities to improve analytical methods, tools, workflows, and how the organization uses data.
- Provide subject matter expertise and mentor other analysts as appropriate.
AI-Enabled Analysis & Validation
- Apply and help advance AI-enabled analytical methods within the Data Analysis function.
- Identify analytical workflows where AI can improve the speed, depth, quality, or efficiency of analysis.
- Use AI to accelerate data exploration, analytical development, quality review, synthesis, and interpretation while independently validating final outputs.
- Develop repeatable AI-assisted analytical workflows, methods, prompts, standards, and validation practices.
- Validate AI-generated findings for accuracy, relevance, bias, and appropriate clinical or business context.
- Ensure human judgment remains accountable for final analytical conclusions.
- Partner with clinical subject matter experts when findings require additional clinical interpretation.
- Partner with Technology and Data Engineering to evaluate AI capabilities and determine how they can be incorporated into governed analytical workflows.
What You'll Do
- Bachelor's degree in Analytics, Statistics, Information Systems, Healthcare Administration, Health Informatics, Public Health, or a relevant clinical discipline such as Psychology, Social Work, Counseling, Nursing, or a related field; equivalent relevant experience may be considered.
- 5+ years of experience in analytics, healthcare analytics, business intelligence, or related analytical work. Candidates with a clinical background should also have demonstrated experience using data to evaluate care delivery, patient outcomes, program performance, or other complex healthcare questions.
- Experience working with healthcare clinical operations and translating clinical workflows and business questions into meaningful analysis.
- Experience analyzing healthcare performance, including access, utilization, quality, outcomes, or program effectiveness.
- Experience with modern analytics and BI platforms such as Power BI.
- Strong analytical skills and the ability to independently investigate complex clinical and operational questions.
- Ability to translate complex data into clear insights for clinical, operational, and executive audiences.
- Experience using AI or generative AI to support analytical work, with an understanding of how to validate outputs and appropriately manage the risks and limitations of AI-generated analysis.
- Strong communication, prioritization, facilitation, and stakeholder partnership skills.
- Understanding of healthcare privacy, security, compliance, and appropriate handling of PHI.
Preferred Qualifications
- Experience in behavioral health, IOP, PHP, outpatient mental health, substance use treatment, or similar clinical environments.
- Familiarity with behavioral health workflows including intake, treatment planning, therapy, psychiatry, documentation, utilization management, outcomes measurement, and discharge.
- Experience with clinical outcomes, program evaluation, or research-related analytics.
- Experience working with EMR/EHR and other healthcare operational systems.
- Experience incorporating AI-assisted methods into analytical workflows and/or working with modern cloud data and analytics platforms such as Microsoft Fabric.
We know job descriptions can be intimidating, so if this sounds like an opportunity for you, please don't hesitate to apply!
Who We Are
Compass Health Center is a recognized leader in crisis-level mental health, bringing passion, connection, and patient-centered care to the Partial Hospitalization and Intensive Outpatient space (PHP/IOP). Based in Chicagoland, we serve hundreds of patients every day, ranging from ages 5 through adulthood, in our onsite facilities or through our flourishing virtual programming. Compass fills a critical gap between outpatient and inpatient care through an intermediate level of Behavioral Healthcare.
A few more things we want you to know: our values are super important to us, and hopefully will be to you, too. Cultural humility, teamwork, continuous improvement, connection, patient centered care, passion, innovation, and agility should be your power sources. Joining Compass is an opportunity to feel fulfilled through a joint mission towards healing our communities.
Benefits & Perks
We know that you will be dedicated to your purpose here. We look at that investment as a two-way street. We are proud to offer plenty of space for growth, and opportunities to pursue continuous development within our organization.
For eligible positions, our other benefits include: comprehensive medical/dental/vision plans, 401k program with company matching, generous PTO (including competitive parental leave after 1 year of employment), and continuous training through CEU seminars and volunteering opportunities.
What's Next?
Compass is committed to cultivating diverse and dynamic teams who exude passion for their craft, so whether or not you check all the boxes, we encourage you to apply – we'd be grateful to hear from you!
Weekly outpatient therapy isn't always enough, and a trip to the ER isn't the only answer. Patients and their families rely on Compass Health Center when in crisis – every day, we help people overcome depression, anxiety, suicidality, obsessions/compulsions, trauma, chronic pain, and other obstacles in order for our patients to live freely.
About This Role
The Senior Healthcare Data Analyst is a senior individual contributor responsible for clinical, outcomes, and program analytics across the organization. This role partners with clinical, operational, and executive leaders to turn complex questions into clear, meaningful insights. A strong understanding of behavioral health care delivery is important, including the patient journey from referral and intake through admission, treatment, utilization, outcomes, and discharge. The role also helps advance AI-enabled analysis within the Data Analysis function, using AI to improve the speed, depth, and efficiency of analytical work while establishing repeatable methods, validating outputs, and ensuring appropriate human and clinical oversight.
What You'll Do
Healthcare Analytics & Insights
- Analyze access, conversion, census, capacity, utilization, length of stay, patient engagement, clinical outcomes, and program performance.
- Develop a strong understanding of behavioral health care delivery, including intake, treatment planning, group, individual and family therapy, psychiatry, documentation, authorization, outcomes, and discharge.
- Partner with clinical leaders to understand operational and clinical questions and translate them into meaningful analysis.
- Ensure findings reflect how care is actually delivered and are interpreted in the right clinical and operational context.
- Identify trends, patterns, risks, and opportunities that can improve care delivery, patient experience, or program performance.
- Turn complex findings into clear insights, recommendations, and actions for clinical and executive audiences.
- Work independently on complex analytical questions and bring forward recommendations, not just findings.
Clinical Outcomes Research, Program Evaluation & Publications
- Partner with clinical and research leaders to define research questions, outcomes measures, analytical approaches, and data requirements for clinical studies and program evaluations.
- Build accurate, well-documented, and reproducible datasets and analyses for outcomes research, program evaluation, presentations, and publications.
- Conduct and interpret analyses that evaluate patient outcomes, treatment effectiveness, program effectiveness, and differences across populations, programs, or levels of care.
- Work with clinical subject matter experts to ensure findings are interpreted appropriately and limitations are clearly understood.
- Translate findings into publication-ready tables, visualizations, summaries, and supporting materials for presentations, abstracts, manuscripts, and publications.
- Support analytical review through final presentation or publication, including refining analyses, responding to questions, and reproducing results as needed.
- Ensure research and publication-related data and analysis follow organizational privacy, compliance, governance, and data-use standards.
Analytics Partnership & Standards
- Serve as a trusted analytics partner to clinical, operational, and executive leaders.
- Help stakeholders clarify questions, define meaningful measures, and translate needs into analytical approaches.
- Establish and maintain trusted metric definitions, documentation, analytical standards, and best practices.
- Partner with other analysts and Data Engineering to support consistent definitions, reliable data, and scalable solutions.
- Move recurring analytical needs into standardized dashboards, reports, or repeatable workflows.
- Help stakeholders understand what the data shows, what it does not show, and how it should be interpreted.
- Identify opportunities to improve analytical methods, tools, workflows, and how the organization uses data.
- Provide subject matter expertise and mentor other analysts as appropriate.
AI-Enabled Analysis & Validation
- Apply and help advance AI-enabled analytical methods within the Data Analysis function.
- Identify analytical workflows where AI can improve the speed, depth, quality, or efficiency of analysis.
- Use AI to accelerate data exploration, analytical development, quality review, synthesis, and interpretation while independently validating final outputs.
- Develop repeatable AI-assisted analytical workflows, methods, prompts, standards, and validation practices.
- Validate AI-generated findings for accuracy, relevance, bias, and appropriate clinical or business context.
- Ensure human judgment remains accountable for final analytical conclusions.
- Partner with clinical subject matter experts when findings require additional clinical interpretation.
- Partner with Technology and Data Engineering to evaluate AI capabilities and determine how they can be incorporated into governed analytical workflows.
What You'll Do
- Bachelor's degree in Analytics, Statistics, Information Systems, Healthcare Administration, Health Informatics, Public Health, or a relevant clinical discipline such as Psychology, Social Work, Counseling, Nursing, or a related field; equivalent relevant experience may be considered.
- 5+ years of experience in analytics, healthcare analytics, business intelligence, or related analytical work. Candidates with a clinical background should also have demonstrated experience using data to evaluate care delivery, patient outcomes, program performance, or other complex healthcare questions.
- Experience working with healthcare clinical operations and translating clinical workflows and business questions into meaningful analysis.
- Experience analyzing healthcare performance, including access, utilization, quality, outcomes, or program effectiveness.
- Experience with modern analytics and BI platforms such as Power BI.
- Strong analytical skills and the ability to independently investigate complex clinical and operational questions.
- Ability to translate complex data into clear insights for clinical, operational, and executive audiences.
- Experience using AI or generative AI to support analytical work, with an understanding of how to validate outputs and appropriately manage the risks and limitations of AI-generated analysis.
- Strong communication, prioritization, facilitation, and stakeholder partnership skills.
- Understanding of healthcare privacy, security, compliance, and appropriate handling of PHI.
Preferred Qualifications
- Experience in behavioral health, IOP, PHP, outpatient mental health, substance use treatment, or similar clinical environments.
- Familiarity with behavioral health workflows including intake, treatment planning, therapy, psychiatry, documentation, utilization management, outcomes measurement, and discharge.
- Experience with clinical outcomes, program evaluation, or research-related analytics.
- Experience working with EMR/EHR and other healthcare operational systems.
- Experience incorporating AI-assisted methods into analytical workflows and/or working with modern cloud data and analytics platforms such as Microsoft Fabric.
We know job descriptions can be intimidating, so if this sounds like an opportunity for you, please don't hesitate to apply!
Who We Are
Compass Health Center is a recognized leader in crisis-level mental health, bringing passion, connection, and patient-centered care to the Partial Hospitalization and Intensive Outpatient space (PHP/IOP). Based in Chicagoland, we serve hundreds of patients every day, ranging from ages 5 through adulthood, in our onsite facilities or through our flourishing virtual programming. Compass fills a critical gap between outpatient and inpatient care through an intermediate level of Behavioral Healthcare.
A few more things we want you to know: our values are super important to us, and hopefully will be to you, too. Cultural humility, teamwork, continuous improvement, connection, patient centered care, passion, innovation, and agility should be your power sources. Joining Compass is an opportunity to feel fulfilled through a joint mission towards healing our communities.
Benefits & Perks
We know that you will be dedicated to your purpose here. We look at that investment as a two-way street. We are proud to offer plenty of space for growth, and opportunities to pursue continuous development within our organization.
For eligible positions, our other benefits include: comprehensive medical/dental/vision plans, 401k program with company matching, generous PTO (including competitive parental leave after 1 year of employment), and continuous training through CEU seminars and volunteering opportunities.
What's Next?
Compass is committed to cultivating diverse and dynamic teams who exude passion for their craft, so whether or not you check all the boxes, we encourage you to apply – we'd be grateful to hear from you!
See All 10 Healthcare Data Analyst Jobs in Chicago
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Find Healthcare Data Analyst JobsHealthcare Data Analyst Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Staffing & Recruiting
Healthcare Data Analyst Jobs in Chicago: Frequently Asked Questions
How do I get a healthcare data analyst job in Chicago?
Focus your search on Chicago's three dominant hiring clusters: large health systems anchored in Streeterville and the Illinois Medical District, managed care and insurance firms headquartered in the Loop and River North, and health tech companies concentrated in the West Loop and Fulton Market corridor. Candidates who combine SQL or Python fluency with knowledge of EHR platforms and claims data stand out most in this market.
Which companies hire healthcare data analysts in Chicago?
Employers hiring healthcare data analysts in Chicago right now include Huron Consulting, Jobot, and Tendo, based on current listings on Migrate Mate as of November 2026. Chicago's mix of major academic medical centers, national health insurers, and a growing health tech scene means openings appear across a wide range of employer types and sizes.
Are there remote healthcare data analyst jobs in Chicago?
Yes, though availability depends on the role: analytical and reporting positions tend to be the most remote-friendly, while roles tied to clinical operations or on-site data governance are typically in-person. About 80% of healthcare data analyst openings tied to Chicago are remote or hybrid as of November 2026. Health tech firms in Fulton Market and insurance-side roles in the Loop offer the highest share of flexible arrangements.
How can I get a healthcare data analyst job in Chicago with little or no experience?
The most realistic entry path in Chicago is through a junior analyst or data coordinator role at one of the city's large hospital networks or health insurance companies, which regularly hire candidates with foundational SQL skills and a degree in health informatics, public health, or a related field. Internships at Rush University Medical Center, UI Health, or Chicago-based managed care organizations can also convert into full-time roles, and contract-to-hire positions through local health tech firms in the West Loop are another common entry point.
Which industries hire the most healthcare data analysts in Chicago?
Chicago healthcare data analyst roles concentrate in Staffing & Recruiting, based on current listings on Migrate Mate as of November 2026. Chicago's status as a regional hub for both hospital networks and health insurance headquarters drives consistent demand across those sectors, making it one of the more active markets in the Midwest for this role.
See All 10 Healthcare Data Analyst Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find Healthcare Data Analyst Jobs