CGI is a global IT and business consulting services firm that offers opportunities for professional development and mentorship. The company is seeking an Entry-Level Data Analyst with a focus on AI to support projects that transform raw data into actionable insights, collaborating with cross-functional teams and utilizing AI tools to enhance data analysis and reporting.
Collect, clean, and analyze structured and unstructured data to uncover patterns and insights.
Build dashboards, visualizations, and reports to communicate findings effectively.
Apply exploratory data analysis techniques and support predictive or prescriptive analytics projects.
Use AI-enhanced tools (e.g., ChatGPT, Copilot, automated visualization platforms) to streamline analysis and reporting.
Partner with data scientists and engineers to support basic machine learning workflows (e.g., preparing training data, feature engineering, evaluating model performance).
Help assess data quality and integrity to ensure accurate reporting and model reliability.
Support client engagements by transforming complex datasets into actionable recommendations.
Stay curious—explore emerging AI technologies, share insights, and identify opportunities to improve processes.
Qualification
Required
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field (all majors considered with strong analytical skills).
Curiosity and eagerness to learn AI-driven approaches to problem-solving.
Strong communication skills with the ability to translate data into business insights.
Experience with Excel and familiarity with at least one data analysis language (e.g., SQL, Python, or R).
Comfort working with visualization tools such as Tableau, Power BI, or similar.
Authorization to work in the U.S. indefinitely and without restriction.
Preferred
Exposure to or coursework in machine learning, natural language processing, or AI concepts.
Familiarity with Python libraries (e.g., pandas, NumPy, scikit-learn) or AI APIs.
Experience using cloud platforms (AWS, Azure, GCP) for data storage, querying, or analytics.
Understanding of data pipelines, ETL processes, or workflow orchestration.
Interest in generative AI applications for productivity, reporting, and problem-solving.
