Analytics Engineer, Revenue Cycle, Full time - Day
About The Position
UChicago Medicine is seeking an Analytics Engineer, Revenue Cycle, for its Revenue Cycle Department. This full-time remote position builds and maintains the data infrastructure needed for hospital billing and revenue cycle reporting in a complex academic medical center. The role transforms billing, claims, and payment data from multiple source systems into clean, reliable, well-modeled datasets that support trusted reporting and bridge raw data engineering with business-facing analytics. The position develops reusable dimensional data models, semantic models, views, and datasets; standardizes business logic and metric definitions; and builds and maintains pipelines for billing, claims, denials, and payment data. It also supports advanced and predictive analytics, self-service reporting, data quality and governance, documentation, and collaboration with report analysts and stakeholders. The role is remote, work from home, and may be based outside the greater Chicagoland area.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- At least 3 years of experience in analytics engineering, data engineering, or a similar role.
- Strong programming and data analysis skills, including SQL, Python, statistical analysis, and predictive modeling.
- Experience building data models and working with cloud data platforms such as Azure, Snowflake, Databricks, or similar.
- Experience with a modern data transformation approach such as dbt, stored procedures, or similar.
- Experience integrating and reconciling data across multiple, disparate source systems.
- Experience with data visualization and self-service analytics enablement using Power BI or Tableau.
- Strong issue tracking and resolution skills and ability to work in a fast-paced environment.
- Ability to prioritize, organize, and assess work to meet aggressive deadlines.
- Experience with Microsoft Excel, Word, Visio, and PowerPoint.
- Ability to work effectively in a diverse, multidisciplinary team and interact with people at all organizational levels, including remote teams.
- Excellent interpersonal, written, oral communication, and presentation skills.
- Ability to plan and facilitate meetings with diverse participants.
- Ability to maintain a professional attitude and demeanor in normal and pressure situations.
- Proven problem-solving skills.
Nice To Haves
- Master's degree.
- Familiarity with hospital revenue cycle concepts, including charge capture, claims, denials, accounts receivable, and payer mix.
- Epic experience.
- Microsoft Fabric Analytics Engineer Associate Certification.
- Other Microsoft SQL/BI, Epic, Tableau, or related certifications.
Responsibilities
- Develop and maintain star-schema or dimensional data models for consistent, reusable revenue cycle reporting.
- Build and optimize semantic models, views, and datasets that power dashboards and self-service reporting, including CPT reimbursement, underpayments, and service line analysis.
- Define and standardize business logic and metric definitions so they are calculated consistently across reports.
- Explore and implement AI-powered and predictive analytics tools to identify trends, anomalies, and risk patterns in billing and payment data.
- Partner with stakeholders to build data analytics tools that improve self-service reporting and analyst productivity.
- Design, build, and maintain pipelines ingesting billing, claims, denials, and payment data from multiple source systems.
- Monitor and troubleshoot pipeline failures, performance issues, and data anomalies.
- Implement data quality checks, validation rules, and reconciliation processes to identify discrepancies before they reach reporting.
- Document data lineage, transformation logic, and metric definitions for transparency and auditability.
- Partner with report analysts to understand reporting needs and ensure data structures support them efficiently.
- Support ad hoc data and report requests and root-cause investigations into revenue cycle reporting discrepancies.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
