Posted 1mo ago

Data Analyst/Data Engineer (Healthcare) (69269)

@ Priority Management
Dallas, Texas, United States
$125k-$145k/yrOnsiteFull Time
Responsibilities:Develop dashboards, Write SQL, Automating data
Requirements Summary:2–5+ years in data engineering/analytics; strong SQL; Python; dashboards; data pipelines; KPI understanding; self-starter; problem-solving.
Technical Tools Mentioned:SQL, Python, Tableau, Power BI
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Job Description

Salary $125,000-$145,000



Data Analyst /Data Engineer (Healthcare)



Location: Downtown Dallas, TX (In-Office)

Company: Priority Management Group



About the Role



Priority Management Group is seeking a Data Engineer with strong analytics capabilities to help build and scale our internal data infrastructure. This role will play a critical part in designing how our organization collects, organizes, and analyzes operational, financial, and clinical data across our healthcare facilities.



This position is ideal for someone who enjoys building data pipelines and infrastructure, but also has the ability to analyze the data and turn it into actionable insights for leadership.



You will work closely with our IT, finance, and operations teams to transform raw data from multiple systems into reliable dashboards and reports that drive better decision-making across the company.



This is a full-time, in-office role located in Downtown Dallas.







Key Responsibilities



Data Analytics & Reporting




  • Develop and maintain operational, financial, and clinical dashboards using Tableau and/or Power BI

  • Write advanced SQL queries for data extraction, transformation, and validation

  • Use Python for automation, data cleaning, and advanced analysis

  • Build recurring reports related to:

    • Census trends

    • Reimbursement & payer mix

    • Labor productivity

    • Clinical performance metrics

    • Revenue cycle metrics





Data Engineering & Infrastructure




  • Design, build, and maintain data pipelines and centralized datasets from multiple healthcare systems

  • Develop processes for data ingestion, transformation, and validation

  • Build and maintain a scalable internal data warehouse or data storage environment

  • Ensure data quality, governance, and consistency across multiple platforms

  • Automate manual reporting and data workflows



Business Collaboration




  • Partner with operations, finance, and executive leadership to identify performance gaps

  • Translate complex business questions into data-driven insights

  • Provide analytics that support strategic and operational decision-making