Senior Healthcare Economics Analyst (Hybrid)

Essential Duties And Responsibilities

• Data collection, management, analysis and reporting across a variety of data platforms including Excel, Power BI, analytical cubes, and SQL.
• Write SQL queries, create end-user reports, and apply varying analytical techniques to solve specific business problems.
• Conduct analysis and reporting designed to inform and produce recommendations.
• Analyze and interpret healthcare utilization and financial data to address business questions regarding population health management, health and economic outcomes, quality of healthcare.
• Understand and analyze medical claims, including spend and utilization by place of service, procedure, and diagnoses, and other data sources to identify early signs of trends in medical costs.
• Structure analytical results in an organized, visual manner to tell a meaningful, actionable story.
• Display and interpret data using visualization tools.
• Develop comprehensive understanding of programs being measured.
• Accountable for accuracy of work product.
• Ensures confidentiality and professionalism is maintained when dealing with sensitive and confidential information.
• Performs other duties as required.

Knowledge, Skills And Abilities

• Ability to effectively liaise between technical and non-technical groups.
• Experience in data mining, statistical analysis, and data transformation / manipulation.
• Demonstrated ability to analyze data and apply investigative skills in resolving issues.
• Demonstrated ability to work on multiple projects simultaneously with minimal supervision.
• Demonstrated ability to produce clear, written progress notes and supporting documentation.
• Highly self-motivated and directed with keen attention to detail.

Minimum Education And Experience

• Bachelor’s degree in STEM field, Statistics, Economics, Finance or related field.
• 2 years of healthcare experience working with medical claims, membership, and provider data.
• Experience with Structured Query Language (SQL) – creating queries, performing data manipulations and analysis.
• Advanced proficiency with Excel using PivotTables, linked worksheets, graphing and other reporting and presentation features.
• Experience with data visualization tools (Power BI).
• Strong verbal and written communication skills.
• Strong analytical and problem-solving skills.