Python Data Analyst; Healthcare Finance, HIPAA

Smart Reimbursement Inc. (SRI) is a healthcare finance and analytics firm that provides innovative solutions to reimbursement challenges faced by hospitals. We combine deep policy expertise with advanced data tools to help hospitals.

Our mission is to improve the healthcare industry by leveraging technology to automate and streamline financial reporting processes, enabling hospitals to focus on providing the highest quality of care to patients. Although SRI has been in business since 2011, our culture is more like an early‑stage startup, and we prioritize experimentation, innovation, and collaboration.

We are hiring a Python Data Analyst to deepen ownership of our internal analytics models and improve the reliability and scalability of our delivery engine. This role will focus on preparing data, running internal Python models, troubleshooting issues, and improving performance and automation across workflows.

You will work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time.

• Prepare and shape large healthcare datasets (claims, remits, transactions, reimbursement‑related files) for internal Python models.
• Operate and support internal Python models reliably, including troubleshooting and root‑cause debugging.
• Work with very large datasets (100M+ rows) and implement pragmatic approaches when standard tools are insufficient.
• Build and maintain efficient data pipelines for recurring and ad‑hoc analytics projects.
• Automate data transformation and reporting workflows with clean, reusable code.
• Support the preparation of audit‑ready work papers and other client‑ready documentation.
• Participate in internal and client meetings as needed to clarify goals and communicate findings.
• Improve documentation, internal tools, and project templates.

• You can run internal model workflows end‑to‑end with minimal oversight.
• You can diagnose and resolve issues independently and improve reliability for the broader team.
• You deliver meaningful improvements to performance, automation, and repeatability.
• You are a strong team player who supports delivery execution and reduces friction.

• Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one‑off scripts).
• Strong experience working with large datasets and performance constraints.
• Advanced MS Excel skills (complex formulas, pivot tables, data validation, and ability to work with larger datasets).
• Comfort in Jupyter notebooks and reproducible workflows (pandas required).
• Proven debugging ability and strong analytical judgment.
• Experience working with sensitive or regulated data; HIPAA/PHI experience strongly preferred.

• Experience with healthcare data or hospital finance/reimbursement workflows.
• Familiarity with EPIC healthcare data.
• Experience optimizing data workflows (e.g., parquet/arrow, duckdb, polars, dask, spark, databases).

• Nashville Hybrid or Fully Remote.
• Background check required.
• This role involves HIPAA‑protected data and requires strict data security practices.
• Interview process includes a Python technical assessment.

This role offers a base salary of $130,000–$150,000, depending on experience, plus a performance‑based bonus. Benefits include health, dental, and vision insurance, and a 401(k) with employer match.