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
Transform complex healthcare data into meaningful insights by evaluating large, integrated datasets to understand medical cost and utilization trends
Identify underlying drivers of performance changes, and translate findings into clear, actionable recommendations that support strategic and financial decision-making
Lead and contribute to complex analytical investigations across large healthcare datasets, including medical and pharmacy claims, provider, member, and encounter data
Surface actionable insights related to cost, utilization, quality, and operational performance
Independently scope and structure ambiguous analytical questions, applying structured analytical frameworks to explain drivers such as population shifts, utilization patterns, service mix changes, and unit cost variation
Translate analytical findings into clear, compelling narratives for senior, operational, and clinical stakeholders, enabling informed decision-making and business action
Leverage emerging technologies, including Generative AI tools to enhance productivity and analytical workflows (experience preferred but not required)
Interpret and analyze data from multiple sources including large-scale medical and pharmacy claims, provider, member, and encounters data
Identify and assess the business impact of trends, emerging risks, and performance changes
Develop, maintain, and troubleshoot complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools
Contribute to the planning and execution of large-scale projects with limited direction from leadership
Identify and perform end-to-end root cause analysis on cost, utilization, and performance movements, data irregularities, anomalies, and emerging patterns, 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 and thrive in a demanding, quickly changing environment
Demonstrate a sense of ownership over projects and ask probing questions to understand the business value of tasks
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
Partner cross-functionally at all 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, translating complex findings into clear, decision-ready insights that articulate the “what,” “why,” and “so what,” soliciting and incorporating feedback when required
Provide technical guidance to junior analysts

Requirements

Bachelor’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 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 Power BI
Driver decomposition and root cause analysis strongly 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

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonRdata miningtrend analysisroot cause analysisdata modelingdata verificationdata managementquantitative analysis

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingownershipadaptabilityproject managementcustomer engagementnarrative developmentcross-functional partnership

Certifications

Bachelor's degreeMaster's degree (preferred)