Stellantis

Data Analytics Specialist - Employee Relations

Stellantis • $70K — $95K *
Auburn Hills, MI 48326In-Person
Business Services
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a related quantitative field
  • 3+ years' experience in data science or analytics
  • Advanced skills in Microsoft Excel, Access, Power Query, and SQL
  • Experience with data integration and validation
  • Knowledge of statistical analysis and machine learning
  • Strong communication and problem-solving abilities

Responsibilities

  • Analyze attendance and absenteeism data to identify trends and root causes
  • Collect and cleanse data from various sources for analysis
  • Develop recurring reports and dashboards for absenteeism metrics
  • Translate analytical findings into actionable recommendations for leadership
  • Identify emerging risks and predictive indicators affecting workforce availability
  • Utilize statistical analysis and AI to support business decisions
  • Build and maintain data pipelines and analytical tools

Benefits

  • Comprehensive healthcare benefits
  • Retirement savings plan
  • Paid time off and company holidays
  • Professional development opportunities
  • Flexible work arrangements
Full Job Description
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

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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