Data Analyst

CGI Group, Inc. offers an onsite Data Analyst role in Cleveland, OH with a strong total rewards package. The salary range is USD 57,100 to 154,300 per year, complemented by comprehensive benefits including health coverage, a 401(k) plan with matching contributions and a share purchase plan, generous paid time off, paid parental leave, tuition assistance, and wellness programs. The position supports a large-scale digital development initiative and leverages SQL, Python, Hadoop/Big Data, and Tableau, bringing banking domain knowledge into the project.

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

Responsibilities

• Examine and profile large volumes of data, both structured and unstructured, drawn from multiple enterprise sources, and validate quality
• Create and refine ETL pipelines with Informatica PowerCenter to extract, transform, and load data efficiently
• Engage with Teradata databases, Hadoop ecosystems, and Big Data platforms to underpin data warehousing, analytics, and reporting efforts
• Write Python scripts for analytics, automation, data quality validation, and process improvements
• Map data, assess data lineage, and document source-to-target flows
• Partner with business users, data architects, developers, and project teams to elicit and document requirements
• Perform root-cause analysis and data quality investigations to resolve discrepancies
• Support data migration, modernization efforts, and cloud transformation programs
• Monitor batch processes with CA7, managing schedules and coordinating production-support issue resolution
• Create and maintain technical documentation, data dictionaries, and process workflows
• Build dashboards and reports to enable data-driven decision making
• Ensure adherence to data governance, security, and regulatory requirements across the enterprise

Requirements

• 5+ years of experience in data analysis, data warehousing, or data engineering environments
• Hands-on Informatica PowerCenter ETL development and support
• Extensive Teradata experience with complex SQL development and performance tuning
• Experience with Hadoop ecosystem and Big Data technologies
• Strong Python programming skills for data processing, automation, and analytics
• Experience supporting CA7 enterprise batch scheduling
• Advanced SQL skills for querying large-scale datasets
• Experience performing data profiling, validation, reconciliation, and data quality analysis
• Solid understanding of data warehousing concepts, dimensional modeling, and data integration methodologies
• Experience in banking, financial services, or highly regulated industries
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with data governance, metadata management, and data lineage tools
• Knowledge of Agile development methodologies
• Experience with reporting and visualization tools such as Tableau, Power BI, or Cognos
• Familiarity with Unix/Linux scripting and shell programming
• Excellent analytical, problem-solving, and communication skills