Data Analyst III Medical Economics

RemoteFully Remote - CST/EST preferred but not required, if in CA must start around 6a PSTMO, USAnalyze 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.ResponsibilitiesInterpret and analyze data from multiple sources including claims, provider, member, and encounters data. Identify and assess the business impact of trendsDevelop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics toolsContribute to the planning and execution of large-scale projects with limited direction from leadershipAssist in the design, testing, and implementation of process enhancements and identify opportunities for automationIdentify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customersManage multiple, variable tasks and data review processes with limited supervision within targeted timelines and thrive in a demanding, quickly changing environmentDemonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasksApply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic productsPartner cross-functionally at all levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partnersIndependently engage with customers and business partners to gather requirements and validate resultsCommunicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when requiredProvide technical guidance to junior analystsQualificationsBachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience. Master's degree preferred. 4+ years of experience working with large databases, data verification, and data management or 2+ years of IT experience. Healthcare analytics experience preferred. Working knowledge of SQL/querying 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 including Microsoft PowerBI.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.#J-18808-Ljbffr