Stellantis is seeking a Data Analytics Specialist to develop analytical tools and insights that improve workforce attendance, support operational performance, and strengthen Employee Relations decision-making.
The primary focus of the role is attendance and absenteeism analytics. The successful candidate will partner with Employee Relations, Manufacturing, IT, and other functions to consolidate data, identify trends and root causes, and translate findings into actionable recommendations.
Primary Responsibilities
- Analyze attendance, absenteeism, operational performance, employee engagement, and related Employee Relations issues.
- Collect, cleanse, integrate, validate, and analyze data from multiple sources.
- Develop and improve recurring absenteeism reports, dashboards, scorecards, and key performance indicators.
- Identify trends, root causes, emerging risks, and predictive indicators affecting workforce availability and business performance.
- Translate analytical findings into clear recommendations for Employee Relations and Manufacturing leadership.
- Apply statistical analysis, machine learning, artificial intelligence, and data visualization to support business decisions.
- Build and maintain repeatable data pipelines, datasets, queries, and analytical tools.
- Use advanced Microsoft Excel, Access, Power Query, SQL, and related technologies to prepare data, automate reporting, and improve analytical efficiency.
- Communicate findings through concise visualizations, presentations, and executive summaries.
Basic Qualifications
- Bachelor’s degree, or anticipated completion of a bachelor’s degree, in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field
- A minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projects
- Advanced proficiency in Microsoft Excel, Access, Power Query, and SQL
- Experience integrating, cleansing, validating, and analyzing data from multiple sources
- Working knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard development
- Ability to translate complex data into practical business recommendations
- Strong communication, problem-solving, and cross-functional collaboration skills
- Experience with benchmarking and performance comparisons
- Strong presentation and data-storytelling skills
Preferred Qualifications
- Master’s degree, or equivalent experience, in a quantitative field
- Five or more years of experience delivering data science or advanced analytics projects
- Experience in attendance, workforce, manufacturing, operational, employee, or customer analytics
- Proficiency in Python or R and experience with predictive modeling or data mining
- Experience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power Automate
- Knowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change management
Skills Required
- Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Engineering, or related quantitative field
- Minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projects
- Advanced proficiency in Microsoft Excel, Access, and Power Query
- Advanced proficiency in SQL
- Experience integrating, cleansing, validating, and analyzing data from multiple sources
- Working knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard development
- Ability to translate complex data into practical business recommendations
- Strong communication, problem-solving, and cross-functional collaboration skills
- Experience with benchmarking and performance comparisons
- Strong presentation and data-storytelling skills
- Master's degree or equivalent experience in a quantitative field
- Five or more years of experience delivering data science or advanced analytics projects
- Experience in attendance, workforce, manufacturing, operational, employee, or customer analytics
- Proficiency in Python or R and experience with predictive modeling or data mining
- Experience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power Automate
- Knowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change management
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.
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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.
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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.
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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.
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