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Job Description

Based in Auburn Hills, MI on-site, Stellantis seeks a seasoned Business & Data Analyst to join the Commercial Analytics team and build scalable data products that power performance measurement across sales, incentives, and payments, with strong governance and data quality.

Responsibilities

  • Gather and translate stakeholder requirements into actionable data products
  • Develop a deep understanding of required data, data sources, and data lineage
  • Facilitate the design and scoping of deliverables with cross-functional teams
  • Partner with technical and business stakeholders to align on outcomes
  • Conduct testing and validation of data products
  • Implement and deploy solutions in production environments
  • Provide ongoing user support and training as needed
  • Coordinate end-to-end project activities and timelines
  • Translate a vision into an operational project and drive it to completion in uncertain contexts
  • Define measurable success criteria and track progress against them
  • Apply strong analytical and problem-solving skills to craft creative solutions for complex problems
  • Lead cross-functional teams through agile development cycles
  • Balance competing priorities in a dynamic, evolving environment
  • Engage with internal and external stakeholders and vendors to satisfy requirements

Requirements

  • Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research
  • At least 5 years of experience in analytics, business intelligence, or data analysis roles
  • Strong SQL skills for data analysis
  • Excellent quantitative and qualitative skills with the ability to evaluate processes and data objectively
  • Solid problem formulation, problem-solving, and analytical abilities
  • Proven track record of delivering projects and driving change management
  • Ability to collaborate with external data partners, agencies, and vendors
  • Proficiency with Microsoft Office Suite

Technologies

  • SQL
  • Qlik
  • Power BI
  • Tableau
  • Microsoft Office Suite

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