Data Analyst, Revenue Analytics
Listed on 2026-09-07
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IT/Tech
Data Analyst, Business Intelligence, Data Warehousing
Data Analyst, Revenue Analytics
Required Skills & Experience
Bachelor's degree in business, Computer Science, Healthcare Management, or related field from an accredited college or university.
3-5 years of experience working in a business intelligence (BI) related position. Healthcare revenue cycle experience preferred but not required.
Advanced SQL skills with ability to write, troubleshoot, and optimize queries independently.
Experience with SQL Server- writing T-SQL queries in SQL Server Management Studio (SSMS)
ETL experience including troubleshooting and data validation.
Strong Excel skills (Pivot Tables, formulas, reporting).
Strong communication skills with ability to work directly with business stakeholders.
Strong analytical mindset with exceptional attention to detail.
Nice to Have Skills & Experience
Healthcare Revenue Cycle experience.
Tableau experience.
SSIS, SSRS, and Visual Studio experience.
Databricks exposure.
Experience with claims, denials, payments, AR, and reimbursement analytics.
Job Description
The Data Analyst, Revenue Analytics will serve as a key contributor supporting revenue cycle analytics, ETL processes, and enterprise reporting initiatives. This role requires advanced SQL expertise and the ability to independently write, troubleshoot, optimize, and maintain complex queries across large healthcare revenue cycle datasets. The analyst will work directly with claims, payments, denials, reimbursement, and operational data to provide actionable insights that drive business decisions.
A significant portion of the role will be spent querying databases, validating data integrity, investigating anomalies, troubleshooting ETL failures, and supporting data movement processes. The ideal candidate possesses strong communication skills and can effectively translate complex technical findings into business-friendly recommendations for finance, operations, and executive leadership.
While the organization leverages modern tools such as Databricks, the environment remains heavily rooted in SQL Server technologies, making strong SQL development skills essential. The position will also support report and dashboard development using Power BI or Tableau to deliver meaningful visualizations and key performance metrics to stakeholders.
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