Senior Data Analyst with Python & AI/ML

CGI is seeking an experienced Senior Data Analyst with Python skills to support data quality, production data analysis, and automation initiatives within a large-scale financial services environment. This role combines hands-on data analysis with Python development and is located at a client site in either Lafayette, LA, Knoxville, TN, Birmingham, AL, or Columbia, SC. A hybrid working model is acceptable.

Responsibilities

• Investigate data variances, production failures, and data quality issues and identify root causes.
• Analyze source to target mappings (STTMs), data lineage, business rules, and source to target data flows.
• Write advanced SQL and Python scripts for data analysis, data correction, validation, and automation.
• Develop and enhance automated solutions that reduce manual data analysis and operational tasks.
• Apply machine learning and statistical techniques to data quality use cases, including anomaly detection and unusual pattern identification.
• Take analytical or ML use cases from hypothesis and exploratory analysis through implementation, testing, validation, and production deployment.
• Verify production changes and certify data following implementation of data corrections.
• Work with technical leads, systems analysts, and business stakeholders to translate requirements into practical technology solutions.
• Document data requirements, findings, data mappings, and implemented solutions.
• Communicate findings and recommendations clearly to technical and business stakeholders.
• Manage multiple priorities and deliver assignments with minimal supervision in an Agile environment.
• Work with enterprise data platforms and AWS-based technologies.

Requirements

• 5+ years of Business Analysis, Data Analysis, or related data-focused experience.
• Strong hands-on Python development experience, particularly for data processing, automation, and analytical solutions.
• Advanced SQL skills with the ability to investigate complex datasets and develop data correction scripts; Oracle experience is preferred.
• Strong data analysis and troubleshooting skills, including root cause analysis of production data issues.
• Experience with data quality, data validation, anomaly detection, and data reconciliation.
• Working knowledge of machine learning and statistical techniques, particularly pattern recognition and anomaly detection.
• Experience moving Python or ML solutions from exploratory analysis through testing, validation, and production implementation.
• Strong understanding of data warehouses, data marts, data lineage, and source to target mappings (STTMs).
• Experience working with enterprise data solutions in AWS environments is strongly preferred.
• Experience comparing and reconciling information across multiple data sources.
• Working experience with Oracle and Toad.
• Strong Excel skills for data analysis and reconciliation.
• Experience with Jira and Confluence.
• Strong understanding of Agile/Scrum delivery practices.
• Strong analytical thinking and problem-solving skills with the ability to work independently.
• Clear written and verbal communication skills and experience working across technical and business teams.
• Ability to manage competing priorities in a high-visibility environment.
• Multifamily or Single Family mortgage industry experience is preferred.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related discipline.

Pay

A reasonable estimate of the current range for this role in the U.S. is $79,600.00 - $127,500.00.

Benefits

• Competitive compensation.
• Comprehensive insurance options.
• Matching contributions through the 401(k) plan and the share purchase plan.
• Paid time off for vacation, holidays, and sick time.
• Paid parental leave.
• Learning opportunities and tuition assistance.
• Wellness and well-being programs.