Developing coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases
Leveraging a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client reports, journal manuscripts, abstracts, or posters for professional meetings
Iteratively developing and maintaining Python code while adopting best practices for increasing efficiency, minimizing computational errors, implementing process improvements, and other approaches that add value to business processes and analytic results
Participating in thorough code review and documentation, as well as parallel coding efforts for other programmers to maintain quality standards and ensure that code may be efficiently transferred among team members as needed
Constructing analytic datasets and databases to support deliverables for various public health and healthcare financing engagements
Collaborating with project team members to review, critically evaluate, and refine business requirements, and then translate those requirements into programming logic
Adopting and refining technical skills on projects, including working independently, proactively resolving day-to-day issues of small complexity, and leveraging coding best practices and standards

BS/BA or advanced degree in data science, computer science, statistics, social sciences, health policy or related field with at least 3 years of programming experience OR the equivalent combination of education and experience.
Minimum of 3 years of experience with Python or SQL analytical coding with demonstrated familiarity with the linkage of various types of data files
Programming experience using data stored in relational databases such as Teradata, Snowflake, DB2, Oracle, and SQL Server
Experience designing and implementing flexible, reusable, scalable, programming code
Commitment to analytic programming quality and best practices, including experience with QA/QC procedures (e.g., peer review of code, parallel programming)
Familiarity with all phases of the Analytic Development Life Cycle and demonstrated experience in working with at least 1 of these phases
Organizational and planning skills that enable independent work while contributing to a team effort
Analytic thinker with exceptional attention to quality and detail
Good interpersonal skills, including written and oral English-language skills, the ability to effectively manage competing deadlines, and the ability to work independently on a day-to-day basis while regularly collaborating with project teams.
Applicants must be legally authorized to work in the United States, have lived in the United States for at least 3 of the last 5 years, and should not require now, or in the future, sponsorship for employment visa status.

competitive base salary
generous paid time off policy
merit-based annual increases
bonus opportunities
robust recognition program
competitive range of insurance plans (including health, dental, life, and short-term and long-term disability)
access to a retirement savings program such as a 401(k) plan
paid parental leave for all parents
financial assistance with adoption expenses or infertility treatments
financial reimbursement for education and developmental opportunities
employee assistance program
numerous other offerings to support a healthy work-life balance

Early Career Python Programmer, Data Analyst

Key skills