Business & Data Analyst

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 75,000 - 95,000; Full time

Job summary

Stellantisfinancialservices is seeking a Business and Data Analyst to build and scale trusted data products for performance measurement across sales and payments. You will collaborate with data engineers and business teams to design analytics solutions and facilitate project management in a fast-paced environment.

The ideal candidate has a Bachelor's degree in a quantitative field and at least 5 years of experience in analytics, with strong technical skills in SQL and proficiency in Microsoft Office Suite. Experience in the automotive sector is highly preferred.

Qualifications

• Minimum of 5 years of experience in analytics or data analysis roles.
• Ability to collaborate with external data partners.
• Comfortable working in a cloud environment.

Responsibilities

• Gather requirements and develop understanding of required data.
• Transform vision into operational projects.
• Balance competing priorities in a constantly evolving environment.

Skills

Analytical skills

Problem-solving

SQL

Data visualization

Project management

Education

Bachelor's degree in a quantitative field

Tools

Microsoft Office Suite

Qlik

Power BI

Tableau

Job description

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your mission is to build and scale trusted data products that power performance measurement across sales, incentives, and payments while promoting best practices, strong governance, and a high bar for data quality and reliability. As a Business and Data Analyst you will be gathering requirements, developing a rich understanding of required data, facilitating the design of deliverables, partnering with technical and business stakeholders, testing and implementing the solution, providing support to the users, and overall project coordination.

Overview

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. Ideal candidates are self‑motivated, inquisitive, and creative, with a strong desire to solve real‑world problems using data. In this role, you will deliver analytics quickly in a time‑constrained environment, owning multiple reporting tools and presenting status and insights to management to incorporate feedback. You will partner across Sales, Brand, and Finance teams to align data across sales, incentives, and vehicle payments, and support successful adoption through knowledge transfer and change management.

The Business and Data Analyst must be able to:

• Transform a vision into an operational project and see it through to completion in an uncertain environment
• Define and drive toward success criteria
• Utilize strong analytical and problem‑solving skills to develop creative solutions to complex problems
• Lead cross‑functional teams in agile project management development cycles
• Balance competing priorities in a constantly evolving environment
• Work with internal and external stakeholders as well as vendors

Basic Qualifications

• Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research)
• Minimum of 5 years of experience in analytics, business intelligence, or data analysis roles
• Strong technical skills with SQL for data analysis
• Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively
• Strong problem formulation, problem‑solving, and analysis skills
• Success in implementing projects and driving change management
• Ability to collaborate with external data partners, agencies, and vendors
• Proficient in Microsoft Office Suite

Preferred Qualifications

• Prior experience analyzing incentives and vehicle payments data, highly preferred
• Experience in brand management, production sales or media‑focused environment is desired
• 3+ years of automotive experience
• Comfortable working in a cloud environment
• Experience with visualization tools such as Qlik, Power BI, or Tableau