Salary
💰 $55,100 - $99,000 per year
About the role
- Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions.
- Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes.
- Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data.
- Support execution of large-scale projects with limited direction from leadership.
- Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers.
- Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines.
- Support the design, testing, and implementation of process enhancements and identify opportunities for automation.
- Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.
- Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners.
- Independently engage with customers and business partners to gather requirements and validate results.
- Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.
- Performs other duties as assigned.
- Complies with all policies and standards.
Requirements
- Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
- 2+ years of experience working with large databases, data verification, and data management, or 1+ years IT experience.
- Healthcare analytics experience preferred.
- Working knowledge of SQL/query languages.
- Preferred knowledge of programmatic coding languages such as Python and R.
- Knowledge of statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred.
- Preferred knowledge of modern business intelligence and visualization tools.
- Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred.
- Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired.