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Underwriting Data Engineer
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Underwriting Data Engineer
- Denver, Colorado, United States
- Denver, Colorado, United States
About
Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers
Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans
Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform
Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.
Position Summary The Underwriting Data Engineer organizes and analyzes raw data, builds data pipelines, and develops analytical programs & tools – using SQL, R, Python, etc. as appropriate – to enhance the analytic capability and reliability of the Underwriting, Rebate Administration, and Sales teams.
Position Responsibilities
Thoroughly understand all Underwriting and Rebate Administration data sources, fields, and relationships, including historical claims, Medi-Span tables, NCPDP tables, and Capital Rx’s Book of Business data to interpret trends, identify patterns, and conduct complex data analyses in support of Underwriting, Rebate Administration, and Sales business goals
Investigate new data sources for the purpose of building & maintaining data pipelines to clean, transform, and aggregate disparate data
Use agile software development to create, maintain, and improve back-end systems for data extracts, pricing processes, and analytic tools to advance the department’s technical capabilities
Model front-end views and back-end data sources to draw a comprehensive picture of the user experience and analytic pipelines throughout the system and to enable powerful data analysis
Troubleshoot and customize infrastructure code in SQL, R, and Python to diagnose and solve data or process issues
Work closely with our Underwriting and Clinical teams to help build complex algorithms that provide useful insights into our data
Assist in the analysis and development of new models and front-end tools that can be used to make predictions and answer questions for financial modeling & reporting
Collaborate with various teams across the company on data sources and analytic methodology in support of Underwriting, Rebate Administration, and company objectives
Provide standard and ad-hoc analytics to support the Underwriting and Rebate Administration teams for the successful completion of bid opportunities and rebate payment management
Required Qualifications
Undergraduate bachelor’s degree (or equivalent) in Mathematics, Statistics, Economics, Computer Science, or IT
1+ year of experience with Python, SQL, and data visualization/exploration tools; R experience is a major plus
1+ year of proven experience in data analysis, such as financial analysis, actuarial services, accounting, pricing & underwriting
Familiarity with the AWS ecosystem, specifically Redshift and RDS
Experience in building or maintaining ETL processes
Exceptional technical knowledge in software engineering and programming languages
Excellent numerical, analytical, and problem-solving skills
Track record of leading cross-functional initiatives, driving high performance, meeting deadlines, and executing on deliverables in a time-constrained environment
Ability to balance multiple complex projects simultaneously
Exceptional written and verbal communication skills, especially for explaining technical concepts to nontechnical business leaders
Extremely flexible, highly organized, and able to shift priorities easily
Attention to detail & commitment to delivering high quality work product
Knowledge of pharmaceutical claims is a plus
Remote, US Salary Range: $76,800—$121,000 USD.
New York, NY Salary Range: $96,000—$121,000 USD.
Denver, CO Salary Range: $88,800—$111,000 USD.
All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.
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