StaffSource
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.
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
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
Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.
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