Senior Analyst, Performance Suite Analytics

Full TimeRemoteTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$85K / year

Bachelor Degree1 yr expEnglishSQLTableau

Job Description

• Support the clean data transfer between Evolent and its customers in the Performance Suite where Evolent does not pay claims. • Support the design of data transfer protocols during client onboarding and implementation, and refinement efforts on an ongoing basis. • Develop models to evaluate data quality on a regular basis to uncover irregularities in data submitted from clients and work cross-functionally to identify the root cause. • Apply post-pay audit and payment integrity methods and techniques to ensure claims were paid according to policy • Coordinate with internal teams to ensure clean and consistent tracking of Evolent’s covered membership and claims • Support the design of standardized processes, templates, and collateral for key client-facing financial activities • Create models to assist in financial scope reconciliation efforts. • Identify potential risks and opportunities related to partner data, enabling leadership to better resource solutions, negotiate contractual terms, or settlements. • Perform ad hoc client-specific analyses to support strategic decision-making

Job 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)
  • 1-3 years of professional experience in claims-based healthcare analytics with a payer, provider, clinical vendor, managed care, or related healthcare consulting entity
  • Ability to communicate clearly with diverse stakeholders to solve problems; ability to translate between business needs and analytical needs
  • Exceptionally strong analytical abilities, with track record of identifying and communicating insights from quantitative and qualitative data
  • Advanced or higher proficiency in SQL or SAS database/statistical programming languages and Microsoft Excel
  • Experience using data visualization software (s) to package analytical insights (Power BI, Tableau, or similar)
  • Experience in data mining, advanced/ statistical analysis, and data manipulation
  • Familiarity with healthcare reimbursement methodologies and calculations such as DRGs, Revenue Codes, CPT Codes, RVUs, bundled payments, etc.
  • Master’s Degree, especially with a quantitative focus (e.g. data science, machine learning, statistics, mathematics, computer science, or engineering)- Preferred
  • Working knowledge of healthcare claims; specifically, differences between institutional vs professional billing and various sites of care/service- Preferred.
  • Familiarity with value-based care and utilization management- Preferred.
  • Understanding data systems and critical thinking skills to solve new problems and adapt to changes in data architecture- Preferred.

Benefits

  • comprehensive benefits (including health insurance benefits)

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