MHS Health System Specialist (Vertica SQL/HDI Reporting & Analytics)

Job Family:

Data Science Consulting

Travel Required:

Up to 25%

Clearance Required:

Ability to Obtain Secret

What You Will Do:
Guidehouse is seeking a MHS Health Systems Specialist to support the Defense Health Agency (DHA) by developing, maintaining, and delivering advanced analytics and reporting solutions across Health Data Intelligence (HDI) and Oracle analytics platforms. This role focuses on revenue cycle performance measurement, financial and compliance reporting, and data-driven insights that support Revenue Cycle Modernization and Innovation (RCMI) initiatives.

The ideal candidate combines advanced technical skills (Vertica SQL, analytics, database engineering) with deep domain expertise in healthcare revenue cycle management (RCM). This analyst will play a critical role in supporting DHA leadership by developing reporting capabilities across MHS Data Systems, including across the Oracle Health Data Intelligence (HDI) platform.

Responsibilities of this role are as follows, to include but not limited to:

• Develop HDI reports in support of Revenue Cycle initiatives for MHS

• Use Vertica SQL, Tableau, Power BI, Python, SAP BO, and other analytics tools to extract, analyze, and interpret financial and operational data.

• Develop, optimize, and maintain Vertica SQL queries, view, and reusable datasets supporting revenue cycle analytics (billing, collections, denials, A/R).

• Monitor and support the development of KPIs across Revenue Cycle Initiatives

• Design dashboards and analytic products (Power BI, Tableau, HDI Reports) that clearly communicate performance trends to technical and executive audiences.

• Translate business questions into analytically sound approaches aligned with revenue cycle operations and DHA priorities.

• Collaborate with system administrators to ensure the EHR supports required business processes.

• Serve as a liaison between Guidehouse, DHA, and MTF operational stakeholders.

• Produce professional deliverables: analytic readouts, executive summaries, methodology documentation, and data dictionaries for cross-DHA collaborations.

• Perform data validation, lineage analysis, and quality checks across federal data sources to ensure analytical accuracy and audit readiness.

• Participate in support testing and validation for analytic releases.

• Investigate and help resolve user-reported issues related to charge capture, billing edits, registration errors, or data discrepancies.

• Conduct system impact assessments and work with Oracle Health/Cerner, CDAO, and RCMI technical teams to implement fixes.

• Participate in ITSM processes (incident, problem, change management).

What You Will Need:

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "SECRET" security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE "SECRET" or higher-level clearance are preferred.

• Bachelors Degree

• THREE (3) or more years of experience working with SQL within modern analytics and/or data‑warehousing ecosystems (e.g., HDI, Oracle analytics, or comparable platforms).​

What Would Be Nice To Have:

• An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance

• Bachelor’s degree in Data Analytics, Computer Science, Health Informatics, Healthcare Administration, Finance, or related quantitative or healthcare field (or equivalent experience).

• Advanced proficiency with Vertica SQL and experience within HDI and/or Oracle analytics ecosystems.

• Demonstrated understanding of healthcare revenue cycle operations and associated performance metrics.

• Proven ability to create professional, client-ready deliverables (reports, slide decks, data dictionaries).

• Ability to conduct system impact assessments and work with Oracle Health/Cerner, CDAO, and RCMI technical teams to implement fixes.

• Expert-level SQL or CCL for data extraction, transformation, and analysis.

• Experience working with Oracle Health (Cerner) revenue cycle backend, data models, and charge services.

• Experience optimizing query performance to improve system performance.

• Ability to work independently with system documentation to understand data configurations.

• Proven ability to identify capability gaps, diagnose root causes, and develop actionable recommendations.

• Strong attention to detail, accuracy, and analytical rigor.

• Experience working with