> Markdown version of [/jobs/ext/4517918-senior-analytics-developer-residential-lending-analytics](https://www.wearedevelopers.com/jobs/ext/4517918-senior-analytics-developer-residential-lending-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Analytics Developer - Residential Lending Analytics

- **Company:** BMO Harris Bank National Association
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Governance, Extract Transform Load (ETL), Database Queries, Github, Python (Programming Language), Power BI, SAS (Software), Anaconda, GitHub Copilot, Legacy Systems
- **Published:** November 1, 2026
- **Apply:** https://portal.procomservices.com/jobs?jobId=45066d73-0575-4f4c-86b5-468ba7d93f52

## About the Role

* Advanced-level Python development experience.
 * Strong SAS programming experience.
 * Demonstrated experience converting SAS to Python.
 * Strong SQL skills.
 * Experience in banking or financial services.
 * Excellent written and verbal communication skills.
 * Ability to work independently and manage assigned tasks.

Senior Analytics Developer - Residential Lending Analytics - Nice-to-Have Skills:

 * Experience with enterprise-managed Anaconda environments.
 * Experience with Microsoft Power BI.
 * Prior experience with mortgage or consumer lending data.
 * Experience with data governance in regulated environments.
 * Experience with GitHub and GitHub Copilot.

## Description

We are seeking a hands-on Senior Analytics Developer to convert existing SAS-based analytics, reporting, ETL, and automation processes into Python solutions operating within an enterprise Anaconda environment. The project involves migrating legacy systems to improve efficiency and streamline reporting processes., * Analyze, document, and migrate existing SAS-based processes into Python.

 * Validate migrated outputs for consistency and accuracy.
 * Collaborate with project leads and stakeholders to gather requirements.
 * Design and develop Python-based replacements for SAS processes.
 * Create process documentation and migration artifacts.