Reporting Analyst Job at StaffSource, Knoxville, TN

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  • StaffSource
  • Knoxville, TN

Job Description

Job Description

Role Objective:

The Reporting Analyst II will develop, maintain, and enhance strategic reports and dashboards supporting clinical, financial, and business operations. This position plays a key role in turning raw data into actionable intelligence to guide performance, quality improvement, and research initiatives. The analyst will work independently and as part of a collaborative team to meet evolving organizational needs.

Key Responsibilities:

  • Design and execute SQL queries, ETL processes, and XML workflows for a wide range of reporting across healthcare service lines (e.g., outpatient, inpatient, financial services, risk adjustment, value-based care, and credentialing).
  • Develop dashboards, scorecards, and data visualizations using Power BI and SSRS to support clinical and business decision-making.
  • Provide guidance and recommendations on clinical informatics and business reporting strategies.
  • Collaborate with IT teams and vendors to improve data pipelines, warehouse processes, and reporting architecture.
  • Monitor and evaluate data trends and recommend improvements to enhance accuracy, functionality, and efficiency of reporting tools and processes.
  • Assist in identifying redundant or inefficient reporting processes and redesign workflows for optimal performance.
  • Participate in ongoing Quality Improvement (QI) initiatives and performance evaluation efforts at the site level.
  • Maintain strict confidentiality and adhere to all data governance and compliance policies.

Required Qualifications:

  • Bachelor’s degree from an accredited institution (preferred in Data Science, Computer Science, Healthcare Informatics, or related field).
  • Minimum of 5 years' experience in data science or business intelligence within a healthcare environment.
  • Advanced knowledge of SQL, SSRS, and SQL Server Management Studio (SSMS).
  • Strong experience with Power BI for reporting and data visualization.
  • Proficiency in developing descriptive analytics, performance indicators, and business rule logic.
  • Familiarity with quality metrics such as HEDIS, STARS, and Physician Quality Reporting.

Preferred Qualifications:

  • Experience with predictive modeling and advanced data analytics.
  • Understanding of risk adjustment and claims groupers (HCC, DRG, Episode groupers).
  • Exposure to big data tools and healthcare payment models.
  • Background in value-based care or clinical research reporting.

Technical Skills:

  • SQL (Advanced)
  • SSRS / SSMS
  • Power BI (Expert-level)
  • XML / ETL processes
  • Data warehousing concepts
  • Predictive modeling (Preferred)

Soft Skills:

  • Strong analytical and problem-solving abilities
  • Excellent communication and data storytelling
  • Highly organized with attention to detail
  • Ability to manage multiple tasks and meet deadlines
  • Team-oriented with a proactive and collaborative approach

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