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.
Focus on enterprise provider analytics to measure and report the actual impact of contract and network changes against projected outcomes.
Deliver standardized, structured reporting to track implementation accuracy and validate savings.
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.

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.

Benefits

competitive pay
health insurance
401K and stock purchase plans
tuition reimbursement
paid time off plus holidays
flexible approach to work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonRdata miningstatistical analysisdata modelingtrend analysisroot-cause analysisfinancial modelingclaims pricing

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingtime managementpresentation skillscustomer engagementfeedback incorporationindependenceadaptability