Job Description
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 and Sales teams.
Position Responsibilities:
Thoroughly understand all Underwriting 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 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 Underwriting’s back-end systems for data extracts, pricing processes, and analytic tools to advance the department’s technical capabilities
Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
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 and company objectives
Provide standard and ad-hoc analytics to support the Underwriting team for the successful completion of bid opportunities
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance
Required Qualifications:
Undergraduate bachelor’s degree (or equivalent) in Mathematics, Statistics, Economics, Computer Science, or IT
At least 1 year of experience with Python, SQL, and data visualization/exploration tools; R experience is a major plus
At least 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
Knowledge of and passion for improving the health care industry a plus
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.
Salary Range
$90,000 - $105,000 USD
About Capital Rx
Capital Rx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, Capital Rx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi®, the company’s cloud-native enterprise health platform. Judi connects every aspect of the healthcare ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of benefits and rebuilding trust in healthcare.
Capital Rx 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.
