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# Senior Analytics Developer - Residential Lending

- **Company:** Calculated Hire
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Data Analysis, Big Data, Unix, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Visualization, Database Queries, Github, Python (Programming Language), Pivot Tables, Query Optimization, Power BI, SAS (Software), SQL Databases, Anaconda, Data Processing, GitHub Copilot, Data Management
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/c4bb5baf-6db5-47ca-85fe-032d975b8753/senior-analytics-developer-residential-lending

## About the Role

The ideal candidate will be an advanced Python developer with strong SAS programming experience. The individual must be able to independently analyze existing SAS processes, understand their end-to-end business and technical logic, and recreate that functionality in well-structured, efficient/modular, and supportable Python code., * Minimum 5+ years of experience in reporting, analytics, business intelligence, data management, or data engineering environments.
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 * Advanced-level Python development experience developing analytical, reporting, ETL, and automation processes using large and complex datasets.
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 * Experience creating modular, maintainable, and production-ready Python code.
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 * Demonstrated experience developing Python-based analytics, reporting, ETL, and automation solutions using pandas, SQL, custom functions, and related data-processing libraries.
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 * Strong SAS programming experience with the ability to understand, troubleshoot, and reconstruct complex legacy analytical and reporting processes:
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 * Complex SQL/PROC SQL queries and DATA Steps
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 * Batch and automated SAS processes in a Unix environment
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 * SAS analytical and reporting procedures (ODS, Proc Tabulate, Proc Summary, etc)
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 * SAS macros
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 * Demonstrated experience converting SAS programs or comparable legacy analytical processes into Python.
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 * Strong SQL skills, including complex joins, data transformations, query optimization, and data validation.
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 * Experience reviewing and validating migrated outputs against legacy source systems through reconciliation and testing.
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 * Ability to work independently, manage assigned conversion work, and communicate/escalate technical issues clearly to project leads and process owners.
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 * Experience in banking, lending, financial services, or another regulated industry.
\n, * Excellent written and verbal communication skills.
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 * Strong analytical and problem-solving capabilities.
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 * Ability to interpret business requirements and translate them into technical solutions.
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 * Strong documentation and requirements-gathering experience.
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 * Ability to identify data anomalies and assess whether results are reasonable and accurate.
\n, * Experience with enterprise-managed Anaconda environments.
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 * Experience with Microsoft Power BI or other visualization tools.
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 * Prior experience migrating SAS processes to Python.
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 * Prior experience with mortgage, home equity, consumer lending, or portfolio analytics data.
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 * Experience with data governance and reporting controls within regulated environments.
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 * Experience with GitHub and GitHub Copilot.
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## Description

This is primarily a technical delivery role. The individual will work closely with project leads, internal process owners, and technology partners.