Underwriting Data Analyst

Job Description: • Collect, clean, process, and analyze potential and current clients’ pharmaceutical data – using SQL, R, Python, and MS Excel as appropriate – to support the Underwriting and Sales teams in the acquisition of new business and retention of current clients • Thoroughly understand internal and external data fields, identify patterns of data irregularities, and improve data quality and intake • Reach out to and question relevant parties regarding any data ambiguity and request any additional data elements that may be required or beneficial for analysis • Assist in the writing and maintenance of the Underwriting infrastructure code in SQL, R, and Python • Participate in process enhancement for data analytics and reporting • Provide ad-hoc analytics support to the Underwriting team in the successful completion of all bid opportunities • Provide analytics support to the Pricing, Clinical Account Management, and Implementation teams to facilitate client transitions as needed • Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. Requirements: • Proficient in SQL; Knowledgeable in Python and R • 1+ years of proven experience in data analysis (academic or professional) • Exceptional written and verbal communication skills • Extremely flexible, highly organized, and able to shift priorities easily • Ability to balance multiple complex projects simultaneously and manage a frequently shifting work queue Benefits: • You will make a tangible impact on society. Your work will directly improve healthcare experiences for millions as we code new analyses and data views. • We are a late-stage startup with stability. We have startup energy with a focus on delivery, but healthy processes with a strong financial outlook that provides a sense of security. • There is so much to learn—both in terms of data analysis and coding, and in terms of the broader health care industry. Apply tot his job