Business and Data Analyst

The Stellantis Facilities, General Services and Environmental Compliance organization – Business and Data Analyst will gain experience and exposure across the many different facets in North America Facilities such as facilities management, work plant conditions, environmental and energy strategic initiatives. The Business and Data Analyst will work in a dynamic, fast-paced environment with people who work together as a team to continually think bigger and bolder. The Business and Data Analyst student will gain industry experience, interface with all levels within our organization, and apply their coursework to drive results.

What You'll Do:

Business Analysis

• Gather and document business requirements from stakeholders.
• Analyze current business processes and identify improvement opportunities.
• Assist in defining business problems that could benefit from AI, analytics, or automation solutions.
• Translate business needs into functional requirements for technical teams.
• Participate in meetings and workshops to understand operational challenges.

Data Analysis & Reporting

• Collect, clean, validate, and analyze data from multiple sources.
• Identify trends, patterns, risks, and opportunities within business data.
• Develop and maintain dashboards and reports using tools such as Power BI.
• Monitor key performance indicators (KPIs) and provide actionable insights.
• Present findings to business users in a clear and understandable manner.

AI & Analytics Support

• Research potential AI and machine learning use cases.
• Assist in evaluating the business value and feasibility of AI initiatives.
• Support testing and validation of AI-generated insights and recommendations.
• Ensure AI outputs align with business objectives and data quality standards.
• Participate in responsible AI, governance, and compliance activities.
• Coaching and mentoring of team members in state-of-the-art technology

Data Quality & Governance

• Verify data accuracy, completeness, and consistency.
• Support data governance and data stewardship initiatives.
• Document business definitions, metrics, and data requirements.
• Help identify and resolve data quality issues.