• 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