Senior Data Analyst

CGI•Dallas, TX

1d•Onsite

About The Position

CGI is seeking a Senior Data Analyst to translate architecture and governance direction into detailed analysis, requirements, specifications, and actionable work products. The role involves hands-on discovery and analysis of client data assets, developing scoring and prioritization approaches, identifying candidate data products, and preparing the requirements and backlog needed to move target-state designs into execution. The position is based at a client site in Dallas, Texas, and offers work across industries, technologies, and geographies as part of a close-knit team with access to global resources. The analyst will collaborate with architects, governance leads, business stakeholders, and technical teams to assess current-state data assets and dependencies; define data products and related requirements; and contribute to Agile delivery, testing, and solution validation. The role also includes using approved AI tools to accelerate analysis while validating outputs against source data, standards, and stakeholder expectations.

Requirements

Bachelor's degree in computer science or a closely related field.
Strong SQL skills and practical experience profiling, reconciling, transforming, and validating data.
Experience performing data discovery, metadata and dependency analysis, source-to-target mapping, and requirements analysis.
Ability to design or apply scoring, prioritization, and assessment methods and explain results with clear evidence.
Strong requirements-gathering and documentation skills, including the ability to translate analysis into actionable specifications and backlog items.
Working knowledge of data quality, metadata, lineage, business definitions, access controls, and data governance concepts.
Ability to understand complex data flows and domain-specific requirements while maintaining analytical rigor and attention to detail.
Strong written, verbal, presentation, facilitation, and stakeholder-management skills.
Experience using approved AI tools to accelerate analysis while applying appropriate validation and human review.

Nice To Haves

Familiarity with Databricks, Alteryx, Tableau or Power BI, Excel, Jira, Confluence, or comparable analytics and delivery tools.

Responsibilities

Profile, cleanse, reconcile, and analyze source data and discovery findings to establish an accurate view of current-state data assets and dependencies.
Develop and apply data criticality and scoring models, then synthesize results into clear recommendations and priorities.
Analyze metadata, lineage, dependencies, ownership, quality indicators, and business definitions to identify gaps and opportunities.
Elicit, document, validate, and trace business and data requirements, translating findings into actionable backlog items and implementation specifications.
Support definition of data products, schemas, access requirements, mappings, quality rules, and acceptance criteria with the architect and governance lead.
Develop analysis, dashboards, documentation, and presentations that explain findings and decisions to business and technical stakeholders.
Validate AI-assisted analysis and outputs against source data, established standards, and stakeholder expectations.
Contribute to Agile planning, backlog refinement, design reviews, testing and UAT, and solution validation.