Hiring: Data Analyst – Data Integration & Enablement Company: CGI Location: Salt Lake City, UT Job Posted Time: 2026-09-16 11:25:40 Employment Type: On-site Target Skills & Keywords : Data Lake, Data Mesh, Data Warehouse, Databricks, ELT, ETL, GCP, Python, Regulatory Compliance, Root Cause Analysis, SQL, Security Clearance, dbt About the job Experience: •2+ years of experience** in data analysis, data integration, business intelligence, or a related data-focused role. Required Skills: •Architect and deliver the Trusted Data Foundation Behind Enterprise Analytics** •CGI is seeking a motivated **Data Analyst – Data Integration & Enablement** to join our team supporting a major financial services client. In this role, you will help build and strengthen the trusted data foundation that supports financial and regulatory reporting, enterprise analytics, and data-driven innovation. •Your future duties and responsibilities •How you'll make an impact •Partner with business and technology stakeholders to understand business needs and translate them into clear, actionable data integration, reporting, and analytics requirements. •Profile and analyze source systems, data structures, and business rules using **SQL and Python** to identify data relationships, anomalies, quality issues, and integration requirements. •Analyze and document **source-to-target data flows** supporting the Enterprise Data Warehouse, Data Lake, Data Mesh, ODS, and downstream reporting and analytics solutions. •Define and maintain **source-to-target mappings, transformation rules, metadata, business definitions, and data lineage** to improve data transparency, traceability, and regulatory compliance. Qualifications: •Bachelor's degree in **Data Analytics, Computer Science, Information Systems, Business**, or a related discipline, along with **2+ years of experience** in data analysis, data integration, business intelligence, or a related data-focused role. •Strong hands-on **SQL** skills, including complex queries, joins, aggregations, data profiling, transformation analysis, reconciliation, and data validation. •Working proficiency in **Python** for data analysis, automation, data quality validation, and data integration activities. •Solid understanding of **data quality, data testing, reconciliation, ETL/ELT, data integration, and troubleshooting** within enterprise data environments. •Strong analytical and problem-solving skills, with the ability to investigate complex data issues, identify root causes, and recommend solutions. •Strong requirements gathering, documentation, and stakeholder communication skills, with the ability to translate business needs into actionable data requirements. •Demonstrated capacity to collaborate effectively with both business and technology teams in a complex enterprise environment. •Exposure to modern data platforms and technologies such as **Databricks, dbt, GCP, Enterprise Data Warehouses, Data Lakes, Data Mesh, and Operational Data Stores (ODS)**. •Exposure to **AI/GenAI concepts, AI-enabled data solutions, or prompt engineering**. •A reasonable estimate of the current compensation range for this role in the U.S. is $89,600 – $198,400. Compensation: •Matching contributions through the 401(k) plan and share purchase plan Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!