Data Analytics Specialist - Employee Relations

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 fieldA minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projectsAdvanced proficiency in Microsoft Excel, Access, Power Query, and SQLExperience integrating, cleansing, validating, and analyzing data from multiple sourcesWorking knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard developmentAbility to translate complex data into practical business recommendationsStrong communication, problem-solving, and cross-functional collaboration skillsExperience with benchmarking and performance comparisonsStrong presentation and data-storytelling skillsPreferred Qualifications Master’s degree, or equivalent experience, in a quantitative fieldFive or more years of experience delivering data science or advanced analytics projectsExperience in attendance, workforce, manufacturing, operational, employee, or customer analyticsProficiency in Python or R and experience with predictive modeling or data miningExperience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power AutomateKnowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change managementBrand: FCA GroupJob ID: 2020068Employment Type: Full-timeJob Area: ICT, Digital and DataPosted Date: 17/07/2026