Healthcare Data Analyst (Python) Needed for Full-Time Project

Python Data Analyst - Healthcare Finance Data (Full-Time Contract, Contract-to-Hire)

Budget: $60-70/hr depending on experience. Start date approx April 15th

Duration: 2-month full-time contract (40 hrs/week) with high likelihood of conversion to permanent full-time position with benefits.

Location: US-based ONLY. 9:30am - 5:30pm CT. We are NOT async.

About Us

We're a healthcare finance and analytics firm that helps hospitals solve complex finance challenges. We've been in business for over a decade, but our culture is more like an early-stage startup. We prioritize experimentation, innovation, and collaboration.

The Role

We're entering a busy period and need a Python Data Analyst to hit the ground running on our internal analytics models. You'll prepare data, run Python models, troubleshoot issues, and improve automation across our delivery workflows. You'll work closely with our delivery leadership and technical subject matter experts to learn existing workflows quickly, then contribute improvements over time.

This is a dedicated, full-time engagement (40 hours/week). We need someone who can commit fully to this role for for the next two months during work hours 9:30am - 5:30pm CT (flexible for routine exceptions if you like to take the kids to school every day etc).

If the fit is right, this converts to a permanent position with medical, dental, vision, 401K.

We provide an encrypted company laptop with pre-configured security tools. Background check required prior to start due to sensitive nature of data.

Responsibilities

- 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 workpapers and other client-ready documentation.

- Participate in internal and client meetings as needed to clarify goals and communicate findings.

Required

- Advanced Python skills (ability to run, own, and improve an analytics codebase, not just write one-off scripts).

- Experience working with healthcare data, preferably healthcare finance data such as claims, denials, remittances, or hospital cost reports.

- Strong experience working with large datasets and performance constraints.

- Advanced MS Excel skills (complex formulas, pivot tables, data validation).

- Comfort in Jupyter notebooks and reproducible workflows (pandas required).

- Proven debugging ability and strong analytical judgment.

- HIPAA/PHI experience required. This role involves protected health information and requires strict data security practices.

- Clear communication and a collaborative working style.

- Must be US-based and pass a background check.

- Must be available full-time (40 hrs/week) for the duration of the contract with no competing engagements.

Nice to Have

- Experience with hospital denials data

- Familiarity with EPIC healthcare data

- Experience optimizing data workflows (parquet/arrow, DuckDB, polars, dask, spark)

We'll skip over generic AI answers to the three questions on the post. Thanks so much for your time!!!