Senior Analytics Developer - Residential Lending

Calculated Hire; Chicago (IL); Hybrid; USD 90,000 - 120,000; Part time

Job summary

Calculated Hire is seeking a Senior Analytics Developer for a Fortune 100 Financial Services client. You will migrate SAS-based analytics, reporting, ETL, and automation to Python in an enterprise Anaconda environment.

The ideal candidate is an advanced Python developer with strong SAS experience, able to analyze existing SAS processes and recreate functionality in well-structured Python code for large datasets.

Qualifications

• 5+ years in reporting, analytics, BI, data management, or data engineering.
• Advanced Python development for analytics, ETL, and automation with large datasets.
• Modular, production-ready Python code with pandas and SQL.
• Strong SAS experience to understand and reconstruct legacy processes.
• Experience converting SAS programs to Python in enterprise environments.

Responsibilities

• Migrate SAS-based reporting, analytics, ETL, and automation to Python in an enterprise Anaconda env.
• Validate migrated outputs for consistency, accuracy and business acceptance.
• Collaborate with project leads and stakeholders to gather requirements and communicate status.
• Develop Python-based replacements and modular components rather than line-by-line translation.
• Optimize Python code and SQL queries while preserving approved business logic.

Skills

Python development

SAS programming

SQL

Data processing

Analytics

Pandas

Code modularization

Documentation

Tools

SAS

Anaconda

GitHub

Power BI

Job description

Remote or Hybrid - Greater Chicago Area

Start Date: 11/30/2026

Contract: 6-Month W2 Contract (with the high possibility of extension or conversion)

Position Summary

Calculated Hire is in search of a Senior Analytics Developer for our Fortune 100 Financial Services company. You will be hands-on, converting existing SAS-based analytics, reporting, ETL, and automation processes into Python solutions operating within an enterprise Anaconda environment.

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.

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

Key Responsibilities

SAS Migration & Modernization

• Analyze, document, and migrate existing SAS-based reporting packages, analytic processes, ETL, and automation processes into Python in an enterprise Anaconda environment.
• Validate migrated outputs to ensure consistency, accuracy, and business acceptance.
• Escalate unclear business logic or technical constraints to the appropriate internal process owner(s).
• Support enterprise efforts to decommission SAS while minimizing operational disruption.
• Identify opportunities to improve efficiency and streamline reporting processes during migration activities.

Python Development and Conversion

• Design and develop Python-based replacements for existing SAS processes within the Anaconda environment.
• Translate SAS data transformation, analytical, reporting, and automation logic into efficient and maintainable Python code.
• Build modular, reusable, and well-documented Python components rather than line-by-line code translation.
• Use appropriate Python libraries for data processing, analysis, file creation, database interaction, and workflow execution.
• Develop solutions that can process large datasets reliably within the available enterprise environment.
• Optimize Python code and SQL queries where needed to improve performance without changing approved business logic.

Business & Stakeholder Engagement

• Collaborate with project leads, process owners, and technology stakeholders to gather and document requirements. This role will work closely with internal project leads and migration teams throughout the transformation lifecycle.
• Participate in validation sessions and support internal stakeholders through testing and business acceptance activities.
• Communicate status updates, recommendations, and/or constraints to project leadership and team members.
• Create process documentation, report specifications, data mappings, and migration artifacts.

Required Qualifications

• Minimum 5+ years of experience in reporting, analytics, business intelligence, data management, or data engineering environments.
• Advanced-level Python development experience developing analytical, reporting, ETL, and automation processes using large and complex datasets.
• Experience creating modular, maintainable, and production-ready Python code.
• Demonstrated experience developing Python-based analytics, reporting, ETL, and automation solutions using pandas, SQL, custom functions, and related data-processing libraries.
• Strong SAS programming experience with the ability to understand, troubleshoot, and reconstruct complex legacy analytical and reporting processes:
• Complex SQL/PROC SQL queries and DATA Steps
• Batch and automated SAS processes in a Unix environment
• SAS analytical and reporting procedures (ODS, Proc Tabulate, Proc Summary, etc)
• SAS macros
• Demonstrated experience converting SAS programs or comparable legacy analytical processes into Python.
• Strong SQL skills, including complex joins, data transformations, query optimization, and data validation.
• Experience reviewing and validating migrated outputs against legacy source systems through reconciliation and testing.
• Ability to work independently, manage assigned conversion work, and communicate/escalate technical issues clearly to project leads and process owners.
• Experience in banking, lending, financial services, or another regulated industry.

Business Skills

• Excellent written and verbal communication skills.
• Strong analytical and problem-solving capabilities.
• Ability to interpret business requirements and translate them into technical solutions.
• Strong documentation and requirements-gathering experience.
• Ability to identify data anomalies and assess whether results are reasonable and accurate.

Preferred Qualifications

• Experience with enterprise-managed Anaconda environments.
• Experience with Microsoft Power BI or other visualization tools.
• Prior experience migrating SAS processes to Python.
• Prior experience with mortgage, home equity, consumer lending, or portfolio analytics data.
• Experience with data governance and reporting controls within regulated environments.
• Experience with GitHub and GitHub Copilot.

*Applications will be accepted until at least 10/30/2026

*Applicants must be authorized to work in the United States. We are unable to sponsor employment visas at this time.

Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.