Senior Data Analyst
cgiDallas (TX)
About the role
Overview:
As a Senior Data Analyst at CGI, you translate architecture and governance directions into concrete analyses and actionable backlog items. You will perform hands-on discovery of client data assets, develop scoring and prioritization schemes, and help define data products and execution plans. You’ll work closely with cross-functional teams on governance, data quality, and stakeholder-aligned outcomes. This role offers exposure to diverse industries and global resources, with meaningful impact on target-state data solutions. Compensation / Benefits Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance
Responsibilities:
Profile, cleanse, reconcile, and analyze source data to map current state data assets and dependencies Develop scoring models and translate results into clear priorities and recommendations Analyze metadata, lineage, ownership, quality indicators, and business definitions to identify gaps Elicit and document business and data requirements; convert findings into backlog items and implementation specs Support definition of data products, schemas, access requirements, mappings, quality rules, and acceptance criteria Create analysis, dashboards, documentation, and presentations for business and technical stakeholders Validate AI-assisted analysis against source data and standards Contribute to Agile planning, backlog refinement, design reviews, testing/UAT, and solution validation
Key requirements:
Strong SQL and experience profiling, reconciling, transforming, and validating data Experience with data discovery, metadata/dependency analysis, source-to-target mapping, and requirements analysis Ability to design or apply scoring and prioritization methodologies and justify results with evidence Strong requirements gathering and documentation skills; translate analysis into backlog items Knowledge of data quality, metadata, lineage, business definitions, access controls, and governance concepts Familiarity with Databricks, Alteryx, Tableau/Power BI, Excel, Jira, Confluence or similar tools Ability to understand complex data flows and domain-specific requirements with analytical rigor Strong written, verbal, presentation, facilitation, and stakeholder management skills Experience using approved AI tools to accelerate analysis with validation and human review Stakeholder management Communication Presentation Databricks Alteryx Tableau
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