Senior Data Analytics Engineer
About the role
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high quality data products before deployment.
Responsibilities
- Executing end-to-end User Acceptance Testing (UAT)
- Performing SQL and API validation
- Verifying JSON data structures
- Supporting AWS-based analytics platforms
- Ensuring data accuracy across reporting solutions
- User onboarding, documentation, knowledge transfer, and ongoing production support
Requirements
- 5+ years of experience in data analytics, software development, data engineering, production support, monitoring, visualization, and business enablement
- Strong experience performing Business User Acceptance Testing (UAT), including test planning, execution, defect management, regression testing, and production readiness
- Advanced SQL skills with the ability to validate complex datasets, perform source to target reconciliation, and troubleshoot data quality issues
- Hands-on experience working with AWS-based data and analytics environments
- Experience validating REST APIs, nested JSON payloads, and API integrations using tools such as Postman and Swagger/OpenAPI
- Proficiency with Python, including pandas, NumPy, and JSON processing for data validation and analytics workflows
- Experience supporting GenAI-enabled reporting solutions, including prompt-assisted data extraction, validation of AI-generated summaries, narratives, tables, and visualizations
- Ability to analyze data trends, identify anomalies, and verify business rule compliance before production releases
- Familiarity with Agile delivery practices and collaboration tools such as Jira
- Strong communication skills with the ability to work directly with business users, developers, QA teams, and product owners
- Experience developing user documentation, onboarding materials, SOPs, and conducting knowledge transfer sessions
- Understanding of data governance, model validation, and enterprise delivery standards within regulated industries, preferably financial services
- Proven ability to provide production support and resolve issues during application rollout and post-deployment stabilization
Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or another related quantitative discipline
To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case.
A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $139,300.00.
Congressional Information Systems, Inc. (CIS) is a wholly owned U.S. subsidiary of CGI Group Inc. (NASDAQ: CGII), one of the world’s leading independent providers of IT and business solutions. CIS is a leading provider of IT and business solutions to the U.S. federal government and its agencies. For more information, visit www.cgi.com/cis.