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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