Data Analytics Lead: AI-Driven Insights & Dashboards

Stellantis; Auburn Hills (MI); On-site; USD 75,000 - 110,000; Full time

Job summary

Stellantis is seeking a Data Analytics Specialist who blends technical expertise with strategic vision to translate complex data into actionable insights for senior leaders.

You will lead data mining across MLM KPIs, design governance, leverage AI/ML for predictive forecasting, collaborate with MLM, Production, Finance, Audit and IT, and build dashboards and self-service analytics tools to support strategic planning.

Qualifications

• Bachelor's degree in analytics, finance, statistics, logistics, business or related field.
• Minimum 2 years of experience in data mining, modeling and visualization.
• Excellent written and spoken communication skills.
• Proficiency with Excel and Microsoft 365 suite.
• Experience with SQL, Python or R is preferred.

Responsibilities

• Lead data mining and analytics to identify trends and answer key business questions.
• Design data architecture, governance, and quality frameworks for data reliability.
• Use AI/ML to build predictive models for financial performance and forecasting.
• Collaborate with MLM, Production, Finance, Audit and IT to translate data needs.
• Work with Data Engineering to optimize pipelines and integrations.
• Create dashboards and self-service analytics tools for leadership.

Skills

Data mining

Modeling

Visualization

Communication skills

Education

Bachelor's degree in Analytics, Finance, Statistics, Logistics, Business or related field

Master's Degree in Analytics, Finance, Statistics, Logistics, Business or related field

Tools

Power BI

Power Apps

Power Automate

Excel

Access

Snowflake

SQL

Python

R

Job description

Stellantis is seeking a Data Analytics Specialist who blends technical expertise with strategic vision to translate complex data into actionable insights for senior leaders.

You will lead data mining across MLM KPIs, design governance, leverage AI/ML for predictive forecasting, collaborate with MLM, Production, Finance, Audit and IT, and build dashboards and self-service analytics tools to support strategic planning.