Analytics Engineer, Revenue Cycle, Full time - Day

About the role

Be a part of a world-class academic healthcare system, UChicago Medicine , as a Analytics Engineer, Revenue Cycle with the Revenue Cycle Department. This position is Full Time Remote . This is a remote, work from home opportunity and you may be based outside of the greater Chicagoland area.

We're seeking an Analytics Engineer, Revenue Cycle to build and maintain the data infrastructure required for hospital billing and revenue cycle reporting in a complex academic medical center. This role transforms raw billing, claims, and payment data from multiple source systems into clean, reliable, well-modeled datasets that analysts and stakeholders can trust — bridging the gap between raw data engineering and business-facing reporting.

Essential Functions

Data Modeling & Standardization

Develop and maintain data models (star schema/dimensional models) that support consistent, reusable reporting across the revenue cycle

Build and optimize semantic models, views, and datasets that power dashboards and self-service reporting (e.g. CPT reimbursement, underpayments, service line analysis)

Define and standardize business logic and metric definitions so they're calculated consistently across reports

Advanced Analytics

Explore and implement AI-powered and predictive analytics tools to identify trends, anomalies, and risk patterns in billing and payment data (e.g., denial and underpayment patterns, unexpected payor behavior, downgrades)

Partner with stakeholders to build highly effective data analytics tools that improve self service reporting and analyst productivity

Data Pipeline & Infrastructure

Design, build, and maintain data pipelines that ingest billing, claims, denials, and payment data from multiple source systems (e.g. Epic, Blue Cross Blue Shield, clearinghouses)

Monitor and troubleshoot pipeline failures, performance issues, and data anomalies

Data Quality & Governance

Implement data quality checks, validation rules, and reconciliation processes to catch discrepancies before they reach reporting

Document data lineage, transformation logic, and metric definitions for transparency and auditability

Collaboration & Support

Partner with report analysts to understand reporting needs and ensure underlying data structures support them efficiently

Support ad hoc data/report requests and root-cause investigations into revenue cycle reporting discrepancies

Qualifications

Bachelor's Degree required in Computer Science, Data Science, Statistics or a related field. Master’s Degree preferred

3+ years of experience in analytics engineering, data engineering, or a similar role required

Strong Programming and data analysis skills including SQL, Python, statistical analysis and predictive modeling required

Experience building data models and working with cloud data platforms (e.g., Azure, Snowflake, Databricks, or similar) required

Experience with a modern data transformation approach (e.g., data build tools (dbt), stored procedures, or similar) required

Experience integrating and reconciling data across multiple, disparate source systems required

Experience with data visualization and self-service analytics enablement using PowerBI or Tableau required

Familiarity with hospital revenue cycle concepts (charge capture, claims, denials, A/R, payer mix) — Epic experience preferred

License or Certifications:

Microsoft Fabric Analytics Engineer Associate Certification preferred

Other Microsoft SQL/BI, Epic, Tableau or related certifications also considered

Skills:

Must have strong issue tracking and resolution skills, and the ability to cope in a fast-paced environment

Must be able to prioritize, organize, and assess work to meet aggressive deadlines

Must have experience with Microsoft Excel, Word, Visio and Powerpoint

Capable of working well in a diverse, multi-disciplinary team and successfully interacting with others at all levels of the organization, including remote teams

Excellent interpersonal, written and oral communication skills, and effective presentation skills

Ability to plan and facilitate meetings with diverse participants

Ability to maintain a professional attitude and demeanor in both normal and pressure situations

Proven skills in problem solving

Position Details:

Job Type/FTE: Full Time (1.0 FTE)

Shift: Days, Monday-Friday

Unit/Department: Revenue Cycle

Work Location: Full Time Remote (This is a remote, work from home opportunity and you may be based outside of the greater Chicagoland area.)

CBA Code: Non-Union

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IL, United States

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