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Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we're looking for a skilled Data Analyst III – Medical Economics to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Responsibility:
Analyze large, integrated healthcare datasets including claims, provider, member, and encounter data
Identify trends, assess business impact, and deliver insights to support cost and quality initiatives
Develop, maintain, and troubleshoot complex analytical scripts and reports using SQL, Excel, and BI tools
Support large-scale analytics projects with minimal supervision and limited leadership direction
Perform root-cause analysis on data anomalies and recommend corrective actions
Design, test, and implement process improvements and automation opportunities
Collaborate cross-functionally to evaluate QAI, MLR, and KPI performance
Translate complex analytical findings into clear, data-driven recommendations for non-technical stakeholders
Manage multiple concurrent priorities while meeting tight timelines in a dynamic environment
Provide technical guidance and mentorship 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
4+ years of experience working with large datasets, data validation, and data management
Without a Bachelor’s degree: 8+ years of relevant experience required
Experience in Managed Care Analytics / Medical Economics
Hands-on experience with Medicare, Medicaid, and Marketplace analytics
Strong SQL skills, including complex queries and multiple JOINs
Advanced Excel skills: Pivot Tables, Power Query
VLOOKUP / XLOOKUP
Nested formulas, aggregations, and financial modeling
Power BI experience, including DAX and Power Pivot
Strong understanding of healthcare payment methodologies: DRG
APC
EAPG
Experience with financial analytics tools and basic financial modeling
Nice to have:
Master’s degree
Experience with Python and/or R
Exposure to actuarial work or healthcare consulting
Knowledge of MLR (Medical Loss Ratio), QAI (Quality and Affordability Initiatives), and healthcare KPIs
Experience in claims pricing, contract/network analysis, ROI evaluation, or utilization management