Healthcare Analytics Illinois

Healthcare Analytics Data Jobs in Illinois

3 jobs found

Include remote jobs

29d ago

Data Analyst

SAFER Foundation Chicago, IL

Chicago, IL

29d ago

$62k - $62k/yr Full time Analytics Data Data Analysis

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Job Description

The Data Analyst role at SAFER Foundation supports the Healthy Chicago Mental Health Collective (HC-MHC) implementation and grant reporting for justice-impacted adults returning to the community. The position builds and maintains practical data collection workflows, ensures accurate program documentation, and helps prepare reporting as the program transitions from manual tracking to EHR-based data capture.

Key Responsibilities

Develop and maintain program data collection tools, including tracking spreadsheets, data logs, and reporting templates.
Collect, organize, clean, and validate client-level and service-level data from multiple sources.
Support manual data gathering during early implementation while preparing for transition to EHR-based reporting.
Maintain documentation of data definitions, reporting fields, and data collection procedures.
Partner with program and clinical staff to ensure required information is collected consistently and accurately.
Identify missing, incomplete, or inconsistent data and follow up with appropriate staff to resolve issues.
Assist with transition efforts from manual tracking to EHR-based data capture and reporting.
Collaborate with behavioral health leadership and clinical staff to support accurate documentation workflows.
Help test, review, and validate EHR reports against manual tracking records during implementation.
Support grant-related data extraction, formatting, and submission processes as required.
Identify practical approaches to reduce duplicate data entry and improve reporting consistency.
Prepare recurring HC-MHC grant reports, including monthly client-level and service delivery reporting.
Support submission of required data by grant deadlines.
Track program outputs such as enrollment, screenings, assessments, referrals, service delivery, follow-up contacts, and participation in behavioral health services.
Assist in preparing summaries for internal leadership, funders, and partner meetings.
Maintain organized records to support grant compliance, reporting, and documentation requirements.
Analyze program data to identify trends in service utilization, referral patterns, client engagement, and service access.
Create clear tables, charts, dashboards, and written summaries for program leadership and staff.
Translate data into actionable findings for program management and grant reporting.
Support analysis of participant surveys, screenings, and service outcomes when available.
Synthesize quantitative and qualitative information into usable reports.
Participate in program meetings related to reporting, implementation, and data collection.
Communicate data needs clearly to staff without technical backgrounds and provide practical support for data entry and submission.
Maintain professionalism and confidentiality when handling sensitive client and program data.
Perform other duties as assigned.

Required Qualifications

Ability to convert raw data into clear, useful information.
Ability to work with imperfect or evolving data systems during early implementation.
Ability to build practical tracking tools while formal systems are still being developed.
Strong organizational skills and comfort maintaining multiple data sources.
Effective communication with clinical, program, and administrative staff.
Ability to protect confidentiality and handle sensitive client information appropriately.
Comfort working in a developing program environment where processes may change over time.
Commitment to health equity and culturally responsive services.
Interest in supporting behavioral health access for justice-impacted individuals.
Hands-on experience and self-sufficiency with Microsoft productivity tools, including Outlook (email), Office (Word, PowerPoint, Excel), and online collaboration tools (video conferencing, Zoom/Teams, messaging).
Ability to work at a computer for extended periods.
Ability to participate in meetings with program, clinical, and administrative staff.
Ability to meet recurring reporting deadlines.
Strong proficiency with Microsoft Excel.
Strong attention to detail, including the ability to identify inconsistencies in data.
Strong written and verbal communication skills.
Ability to manage multiple deadlines and work independently.
Interest in behavioral health, healthcare access, public health, reentry, or human services.
Bachelor’s degree in one of: Public Health, Psychology, Sociology, Social Work, Behavioral Science, Healthcare Administration, Health Informatics, Statistics, Research Methods, or a related field.
One to three years of experience with data collection, reporting, research support, program evaluation, healthcare analytics, behavioral health data, or nonprofit program data preferred.

Preferred Qualifications

Master’s degree, graduate coursework, or current graduate study in Public Health, Psychology, Social Work, Health Services Research, Epidemiology, Behavioral Science, or a related field.
Experience working with behavioral health, healthcare, Medicaid, social services, or justice-involved populations.
Familiarity with Electronic Health Records or healthcare documentation systems.
Experience with Power BI, Tableau, REDCap, Microsoft Forms, Qualtrics, or similar tools.
Experience preparing reports for grants, government programs, or nonprofit leadership.
Familiarity with mental health screening tools, service utilization data, or client outcome tracking.
Experience working in a community-based nonprofit or healthcare setting.

Education

Bachelor’s degree

Work Location and Schedule

Location: Chicago, IL (onsite)
Hybrid or on-site expectations: to be determined by program leadership

Compensation

USD 62,200 per year

Tools and Technologies

Outlook
Office: Word, PowerPoint, Excel
Video conferencing
Zoom
Teams
EHR
REDCap
Power BI
Tableau
Microsoft Forms
Survey tools
Qualtrics

General Summary

This position is grant-funded.
This position is subject to a background check.
Reporting to the AVP of Behavioral Health Services, this full-time role supports HC-MHC implementation and reporting.
During early implementation, the program may rely on manual data collection processes while transitioning toward Electronic Health Record (EHR)-based reporting.

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29d ago

Clinical Data Analyst

Hospital: Rush University Medical Center Chicago, IL 🇺🇸 Remote

Chicago, IL

29d ago

$34 - $51/hr Full time Clinical Data Data Analysis Data Analytics

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Job Description

Rush University Medical Center is hiring a Clinical Data Analyst to support research, clinical, quality improvement, and business analytics efforts. This role helps clinical faculty and Principal Investigators identify and collect needed data, then build the databases and query-ready structures required for analysis and reporting. Working with the Knowledge Management Team and analytics leadership, you will help translate clinical questions into feasible data solutions across multi-site environments.

What you will do

Collect business and data requirements from clinical faculty and Principal Investigators, then collaborate on study design or cohort build plans based on what is available in existing systems.
Bridge clinical expertise and IT to assess feasibility, timelines, and costs for data requests.
Develop queries and visualizations using third-party software tools and the research data warehouse currently in development.
Create research data marts aligned with the enterprise IT architecture.
Represent the Knowledge Management Team on committees and initiatives involving multi-site studies to support IT and research informatics collaboration.
Participate in analytics projects that use data collected from electronic medical records to measure and predict patient outcomes.
Partner with statisticians and mathematicians to design predictive models using statistical and machine learning methods to predict patient outcomes.
Build analytic datasets for research and operations, and analyze them using SAS or R as requested by departmental faculty.
Produce reports that support evidence-based clinical and financial decisions.
Coordinate with the CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
Serve as a member of the IT business intelligence/knowledge management team at Rush, maintaining peer relationships and collaborative knowledge exchange with IT counterparts.

Skills and qualifications

Master’s degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
Strong analytical skills, issue resolution capability, and facilitation experience.
Demonstrated proficiency writing SQL stored procedures or queries.
Ability to present complex information clearly and persuasively.
Strong prioritization and multi-tasking skills to manage expectations across multiple stakeholders.
Capability to deliver high-quality, timely work independently.
Ability to adapt effectively to changing project direction and evolving data requirements.
Strong written and verbal communication skills, plus effective teamwork and interpersonal abilities.
Expertise with data and analytics tools, including experience querying and analyzing data with SQL or equivalent tools.

Tools and technologies

SQL
SAS
R
Electronic medical records
Machine learning

Preferred qualifications

At least three years of experience with statistical software (such as SAS or R) with data science experience.
Some experience in the healthcare setting.
Familiarity with the healthcare industry or healthcare information systems.
Experience with Epic.
Experience with financial/claims data.

Location: Chicago, IL (remote). Compensation: USD 34 - 51 per hour.

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1mo ago

Healthcare Navigation Data Scientist

Alight Round Lake, IL 🇺🇸 Remote

Round Lake, IL

1mo ago Closed

$100k - $135k/yr Full time Data Analysis Data Analytics Data Integration

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Alight is seeking a Healthcare Navigation Data Scientist to strengthen provider search, recommendation, and value measurement capabilities within its Health Navigation platform. The role applies healthcare data analysis, predictive modeling, and analytics to improve provider recommendations, identify cost and utilization insights, and support measurable client value.

Responsibilities

Analyze healthcare and book-of-business data to uncover cost drivers, utilization trends, and opportunities to improve member outcomes while reducing healthcare spend.
Develop and enhance provider scoring, ranking, and recommendation approaches, including methods that consider cost, quality, specialty alignment, and provider experience.
Integrate and transform complex healthcare datasets, including claims, provider, pricing, and network data, to enable analytics and modeling initiatives.
Build, validate, and optimize statistical, predictive, and machine learning models that improve provider search relevance and personalization.
Assess business rules, scoring outputs, and recommendation performance to ensure alignment with clinical and business objectives.
Track key performance metrics, identify continuous improvement opportunities, and recommend enhancements to data sources, models, and processes.
Collaborate cross-functionally with Product, Engineering, Clinical, and Business teams to convert analytical insights into actionable solutions and measurable business value.

Requirements

Experience working with large, complex datasets using SQL and Python and/or R.
Experience building data models, scoring frameworks, predictive analytics, or machine learning solutions.
Knowledge of healthcare datasets and concepts, including claims data, CPT, ICD, NPI, provider networks, and healthcare pricing.
Understanding of healthcare cost drivers, utilization analytics, quality measures, and provider performance metrics.
Analytical, problem-solving, and communication skills with the ability to translate complex findings into business insights.
Experience with provider search, recommendation systems, ranking models, or personalization algorithms.
Knowledge of clinical quality measures such as HEDIS, CMS, or related healthcare standards.
Experience applying machine learning techniques in healthcare, health technology, or navigation contexts.
Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Healthcare Analytics, or a related field.
Advanced degree preferred.

Technologies

SQL
Python
R
Machine learning

Compensation

Salary pay range: USD 100,000 - 135,000 per year
Minimum: 100,000.00 USD
Maximum: 135,000.00 USD

Benefits

Health, dental and vision coverages starting Day One
Wellbeing programs
Retirement plans with contribution matching
Generous time off
Parental leave
Continuing education
Career growth opportunities
Competitive total rewards package
Continuing education & training

Application and Interview Details

Background check consistent with Alight’s employment policies may include SSN/SIN validation, education verification, employment verification, and criminal check, plus search against global sanctions and government watch lists, credit check, and/or drug test.
Virtual interviews must be conducted on video.
May require occasional travel to one of Alight’s physical office locations.

Location

Illinois (remote)

Authorization to Work

Applicants must have work authorization that does not, now or in the future, require sponsorship of a visa for employment authorization in the Employing Country and with Alight.

Our Commitment to Inclusion

Alight will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, contact alightcareers@alight.com.

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Healthcare Analytics Data Jobs in Illinois

Data Analyst

Clinical Data Analyst

Healthcare Navigation Data Scientist

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