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 with report/dashboard development, data/report automation, self-service capabilities, data design and integration, or data quality and governance preferred
Benefits
competitive pay
health insurance
401K and stock purchase plans
tuition reimbursement
paid time off plus holidays
flexible approach to work with remote, hybrid, field or office work schedules
Total compensation may also include additional forms of incentives
Benefits may be subject to program eligibility
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata miningquantitative analysisroot-cause analysisdata verificationdata managementSQLPythonRdata modeling