Job Description Join UChicago Medicine, as an Informatics Analyst (EpicCare Ambulatory/Inpatient) in the Data Science & Analytics department. This is a remote, work from home opportunity, and you may be based outside of the greater Chicagoland area. The Informatics Analyst (EpicCare Ambulatory/Inpatient) is responsible for serving as a coordinating analyst on designated information systems, informatics, technology-focused, and quality evaluations and initiatives. The Informatics Analyst works as a liaison with clinical staff, including physicians, nurses, and professional allied healthcare workers, to help understand and optimize information technology systems. The position collaborates with interdisciplinary workers to craft operational and quality solutions for medical translation, pharmacy, and other services. The position performs data aggregation, analysis, data presentations, and administrative tasks related to the coordination of proposed and existing projects. The role may serve as lead and/or provide guidance on designated projects. Essential Job Functions - Provide project coordination support and leadership for designated information systems, informatics, technology-focused, and quality evaluations and initiatives. - EMR system analysis and design - Supports strategic initiatives and projects, including collaborating with physicians and staff, collecting and analyzing data, developing summary reports, dashboards, and scorecards. - Performs other administrative duties as assigned. Required Qualifications - Bachelor's degree; advanced degree preferred - Experience with hospital information systems and Epic builds strongly preferred - Epic application certification (EpicCare Ambulatory or EpicCare Inpatient) strongly preferred - Two or more years of post-undergraduate experience in a clinical setting, leadership, project management role with proven results, or equivalent - Knowledge of the US health care system - Strong analytical skills (Excel and Access experience required) and excellent problem-solving skills - Ability to use analytic software, report generating software, and analyzing/handling large databases - Ability to prioritize and achieve goals of multiple simultaneous projects - Basic presentation creation skills (PowerPoint skills) - Demonstrated ability to understand complex metrics/drivers related to patient care - Self-motivated, able to plan and organize tasks across multiple projects, and ability to meet deadlines Position Details - Job Type/FTE: Full-time - Shift: Day - Location: Remote - Department: Data Science & Analytics - CBA Code: Non-Union Why Join Us We’ve been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment… with patients and with each other. We’re in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you’d like to add enriching human life to your profile, UChicago Medicine is for you. Here at the forefront, we’re doing work that really matters. Join us. Bring your passion. UChicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: UChicago Medicine Career Opportunities UChicago Medicine is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics. As a condition of employment, all employees are required to complete a pre-employment physical, background check, drug screening, and comply with the flu vaccination requirements prior to hire. Medical and religious exemptions will be considered for flu vaccination consistent with applicable law. Compensation & Benefits Overview UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position. The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union. Review the full complement of benefit options for eligible roles at Benefits - UChicago Medicine.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking an Operations Analytical Senior Analyst (Individual Contributor) to join our team. This role reports to the Senior Manager of Analytical Insights and is open to fully remote candidates across the U.S. The position plays a key role in analyzing case volumes, call volumes, staff productivity, and resource planning—critical elements for driving operational efficiency and supporting our business partners and members. As an internal analytics expert, you will provide insights for Clinical Operations (ClinOps) and support Prior Authorizations and Performance Productivity Reporting business functions. The role involves working with tools such as Python, Dataiku, Alteryx, Tableau, GCP, SSIS, SSRS, Teradata, and other analytical platforms. You will serve as the technical subject matter expert for automating data reporting from multiple sources, including Novologix, CAS, MedHok, MTM, SQM, phone systems, and Verint. You will also leverage statistical modeling, forecasting techniques, and advanced analytical methods to identify trends, predict operational needs, and help drive data-informed business strategies. Key responsibilities include: · Automating manual data processes. · Migrating applications to modern technologies. · Preparing data for Tableau dashboards that deliver prior authorization insights and exception reporting. · Conducting exploratory data analysis and apply statistical and predictive modeling techniques to identify trends, forecast volumes, and support workforce planning. · Build and validate data pipelines and machine learning workflows using Python, Dataiku, and cloud-based tools You will collaborate with operations teams to understand business needs and develop logic and metrics for Tableau KPIs, ensuring accurate and actionable reporting. Required Qualifications · 2–5 years of experience in data analytics, reporting, and database development. · Strong knowledge of database technologies including PL/SQL, T-SQL, stored procedures, query optimization, and performance tuning. · Hands-on experience creating SQL queries, packages, functions, and views for ad-hoc and recurring reports. · Proficiency in Microsoft SQL Server development, troubleshooting, and optimization. · Advanced skills in ETL and reporting tools such as SSIS, SSRS, Alteryx; exposure to Dataiku is a plus. · Working knowledge of multiple RDBMS platforms (Oracle, Teradata) and complex SQL report development. · Experience with Python for data processing and automation. · Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), including SQL Server on GCP. · Understanding of database design principles, logical and physical data models. · Ability to translate business requirements into technical specifications. · Experience applying statistical methods (e.g., regression, clustering, forecasting) to operational or business datasets. · Ability to build and evaluate predictive models or machine learning workflows using Python libraries such as pandas, scikit-learn, statsmodels, or NumPy. · Knowledge of Software Development Life Cycle (SDLC) and documentation best practices. · Strong problem-solving and analytical skills with the ability to assess business impacts and prioritize tasks. · Excellent communication and collaboration skills; ability to work independently and in a team environment. · Agile mindset with a focus on delivering incremental value and incorporating feedback quickly. · Ability to learn new domains and data sources rapidly. Preferred Qualifications · Experience with GCP/BigQuery. · Experience with machine learning model deployment, monitoring, or MLOps pipelines. · Familiarity with visualization best practices and dashboard storytelling for data science insights · Ability to enforce best practices. · Prior experience in PBM services, insurance, or healthcare. · Strong presentation skills and experience engaging with business stakeholders. Education High School Diploma or GED Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $46,988.00 - $112,200.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/01/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Develop and maintain regulatory and quality dashboards. • Collect, process and analyze quality data and regulatory outcomes. • Monitor key compliance metrics. • Provide clear, evidence-based insights and recommendations to Senior Leadership.

• Work closely with other business intelligence and data teams to build datasets serving the purpose of treasury and risk management. • Develop and maintain sophisticated risk management systems, dashboards and automated reports to help the team meet its management objectives and regulatory requirements. • Analyze and interpret large (PB-scale) volumes of transactional, operational, customer and financial data using proprietary and open source data tools, platforms and analytical tool kits. • Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives. • Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments. • Be part of a fast-paced industry and organisation where time to market is critical. • Develop and maintain sophisticated risk management systems and dashboards to monitor limits, detect breaches, and support timely risk mitigation.