Create and develop detailed project plans with clear guidance, task assignments, and required timelines.
Leverage real-world data and statistical modeling to recommend, test, validate, and track supporting health economics and outcomes research, return on investment (ROI), and healthcare benefit models for client businesses.
Analyze complex claims and healthcare data sets to identify trends, patterns, and insights.
Create and present reports, dashboards, and visualizations to communicate findings to stakeholders.
Support Health Technology Assessment of point solutions, programs, and initiatives.
Codevelop and implement data collection strategies, design, and maintain databases.
Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.
Stay up to date with industry trends and best practices in data analysis.
Use professional judgment to troubleshoot suboptimal solutions and data anomalies.
Build predictive models to accurately analyze potential outcomes and cost-savings for a given initiative(s) or event(s).
Build and document analytical pipelines in SQL, Python and R.
Develop and maintain effective cross-functional working relationships to ensure accurate, timely teamwork and project execution with assigned teams.
Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse internal and external audiences.
Identify opportunities for process improvement and efficiency.
Build and maintain client relationships.
Support the development and training of team members and colleagues.

Requirements

Bachelor’s degree (BS) in Statistics, Data Science, Mathematics, Actuarial Science, or similar.
5+ years’ experience as a Data Analyst or Data Scientist in the health sector conducting statistical analysis and reports on healthcare or claims data.
5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, SQL, Python, SAS).
Knowledge of healthcare/medical economics data such as hospital/physician /ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs, and APC.
Diverse experience with healthcare databases and data sources (claims, encounters, labs, EMR, etc.).
Experience with machine learning techniques.
Experience conducting health economics studies, using propensity score matching, and designing and executing ROI analyses.
Experience developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations.

Benefits

Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.

Applicant Tracking System Keywords

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

Hard Skills & Tools

statistical modelingdata analysispredictive modelingSQLPythonRSASdata collection strategiesstatistical analysismachine learning

Soft Skills

communicationcollaborationproblem-solvingproject managementrelationship buildingteam developmentprocess improvementanalytical thinkingpresentation skillsjudgment