Analyst, Performance Suite Analytics Job at Evolent Health International Private Limited

Evolent is hiring for the role of Analyst - Performance Suite Analytics!

Responsibilities of the Candidate:

• Develop and deploy models and approaches aimed at quantifying and articulating our value.
• Communicate actionable conclusions from analyses to internal/external audiences.
• Synthesize complex analyses into succinct presentations.
• Perform research and analysis of complex healthcare claims, eligibility, and pharmacy data to make recommendations based on relevant findings.
• Extract, manage, and analyze claims and operational data using industry-standard metrics.
• Process and validate raw unadjudicated claims data.

Requirements:

• Bachelor’s degree, preferably with a quantitative major (e.g. actuarial, statistics, operations research, mathematics, economics) or healthcare focus (health administration, epidemiology, public health, biology)
• Ability to communicate clearly with diverse stakeholders to solve problems; ability to translate between business needs and analytical needs
• Exceptionally strong analytical abilities in identifying and communicating insights from quantitative and qualitative data
• Intermediate or higher proficiency in SQL or SAS database/statistical programming languages and Microsoft Excel
• Experience in data mining, advanced/ statistical analysis, and data manipulation
• 1+ years of professional experience in claims-based healthcare analytics with a payer, provider, clinical vendor, managed care, or related healthcare consulting entity is preferred
• Experience using data visualization software (s) to package analytical insights (Power BI, Tableau, or similar) is preferred
• Familiarity with healthcare reimbursement methodologies and calculations such as DRGs, Revenue Codes, CPT Codes, RVUs, bundled payments, etc. is preferred
• Working knowledge of healthcare claims; specifically, differences between institutional vs professional billing and various sites of care/service is preferred
• Familiarity with value-based care and utilization management is preferred
• Understanding of data systems and the critical thinking skills to solve new problems and adapt to changes in data architecture is preferred