Role Summary
The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross‑functional collaboration. This role requirement‑gathering efforts, shapes analytical solutions, and ensures that data‑driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high‑quality, scalable solutions.
Key Responsibilities
Requirements Gathering & Solution Definition
- Lead end‑to‑end requirements elicitation through workshops, interviews, process mapping, and data exploration.
- Translate business needs into clear, concise functional and non‑functional requirements, user stories, acceptance criteria, and process flows.
- Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.
- Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.
Data Analytics & Insights
- Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.
- Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.
- Support the design and validation of dashboards, analytical models, and data pipelines.
- Ensure data quality, governance, and consistency across analytical solutions.
Stakeholder Communication
- Liaison between business units, technical teams, and leadership.
- Present findings, recommendations, and solution options to stakeholders in a clear, data‑driven manner.
- Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.
- Mentor junior analysts and contribute to BA practice development.
Project & Delivery Support
- Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.
- Support backlog refinement, sprint planning, and release readiness activities.
- Conduct impact assessments, risk analysis, and change‑readiness evaluations.
- Validate solutions through testing support, UAT coordination, and post‑implementation reviews.
Required Qualifications
- Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
- Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
- Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).
- Strong understanding of SAP configuration, master data, and business process flow.
- SAP Analytics, SAP HANA, SAP AI/Joule experience
- Demonstrated experience gathering and documenting complex requirements for data driven solutions.
- Solid understanding of data modeling, data governance, and analytics workflows.
- Experience working in Agile environments and writing user stories.
- Excellent communication, facilitation, and stakeholder management skills.
Preferred Qualifications
- Experience with cloud data platforms (e.g., Azure, AWS, SQL).
- Background in process improvement methodologies (Agile, Lean, Six Sigma).
- Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.
- Industry experience in finance, healthcare, retail, or technology.
- SAP Analytics, SAP HANA, SAP AI/Joule experience
Skills Required
- Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or related field
- Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
- Strong proficiency in data analysis tools (SQL, Excel, Power BI, Tableau)
- Strong understanding of SAP configuration, master data, and business process flow
- Experience with SAP Analytics, SAP HANA, and SAP AI/Joule
- Demonstrated experience gathering and documenting complex requirements for data-driven solutions
- Solid understanding of data modeling, data governance, and analytics workflows
- Experience working in Agile environments and writing user stories
- Excellent communication, facilitation, and stakeholder management skills
- Experience with cloud data platforms (e.g., Azure, AWS, SQL)
- Background in process improvement methodologies (Agile, Lean, Six Sigma)
- Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture
- Industry experience in finance, healthcare, retail, or technology
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
-
Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
-
Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
-
Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
