Bright Vision Technologies
Data Analyst III – Medical Economics
Bright Vision Technologies, Mokena, Illinois, United States, 60448
Data Analyst III – Medical Economics
Permanent
Flossmoor, Illinois
Position Overview We are seeking a highly skilled Data Analyst III – Medical Economics to support our growing Medical Economics team. This role focuses on analyzing complex healthcare datasets to generate actionable insights that reduce cost of care and improve clinical outcomes for members. The ideal candidate brings strong managed care analytics experience, deep knowledge of healthcare payment methodologies, and advanced analytical skills.
Key Responsibilities
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
Required Qualifications
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
Preferred Qualifications
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
Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to
rana@bvteck.com , (M): +1 (908) 650 7100
At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know
Position offered by “No Fee agency.”
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Flossmoor, Illinois
Position Overview We are seeking a highly skilled Data Analyst III – Medical Economics to support our growing Medical Economics team. This role focuses on analyzing complex healthcare datasets to generate actionable insights that reduce cost of care and improve clinical outcomes for members. The ideal candidate brings strong managed care analytics experience, deep knowledge of healthcare payment methodologies, and advanced analytical skills.
Key Responsibilities
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
Required Qualifications
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
Preferred Qualifications
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
Would you like to know more about this opportunity? For immediate consideration, please send your resume directly to
rana@bvteck.com , (M): +1 (908) 650 7100
At BVTeck, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know
Position offered by “No Fee agency.”
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
#J-18808-Ljbffr