Data Analyst – AI Enhanced Analytics

We are looking for a Data Analyst – AI‑Enhanced Analytics to join our global HR Analytics team within the global HR function. The primary focus of this role is exploratory data analysis (EDA), AI‑supported analytics, and insight generation to support top management decision‑making.

In this role, you will work with complex HR datasets across more than 20 countries, combining strong data understanding, Python‑based analysis, and AI‑enabled methods to identify patterns, risks, and opportunities. You will translate business questions into structured analytical investigations and turn results into clear, actionable recommendations.

You will also contribute to and steer dashboard and reporting initiatives (e.g. Power BI, SAC) together with a delivery team. Dashboards are used mainly as tools to communicate insights, not as the core focus of the role.

You will collaborate closely with HR leadership, IT, and cross‑functional stakeholders to ensure analytics solutions align with business objectives, comply with regulatory requirements, and continuously improve HR decision‑making and employee experience. The role offers strong opportunities to further grow into advanced analytics and AI use cases.

Key Responsibilities

Analytics & AI (core focus)

• Perform exploratory data analysis (EDA) on HR datasets to uncover trends, drivers, and anomalies.
• Use AI enabled analytics tools and Python based methods to accelerate data exploration and insight generation.
• Translate business questions into analytical hypotheses and investigations.
• Interpret analytical and model outputs, including assumptions, limitations, and uncertainty.
• Ensure reproducibility, transparency, and documentation of analytical work.
  
  

Insight Communication & Decision Support

• Prepare clear analytical outputs and visualizations to communicate findings to stakeholders.
• Support the definition of KPIs and analytical concepts for management decision making.
• Translate analytical results into clear recommendations for HR leadership.
  
  

Data & Delivery Enablement

• Clean, structure, and validate data from multiple HR systems.
• Contribute to dashboard and reporting solutions (Power BI, SAC) in collaboration with delivery teams.
• Ensure compliance with data protection, Works Council, and regulatory requirements (e.g. GDPR).
• Identify improvement opportunities in HR processes based on data insights.
• Contribute to HR analytics standards, templates, and best practices.
• Support the continuous development of the HR Analytics team.
  
  

Must Have

• Strong data understanding and analytical thinking, with the ability to structure problems and ask the right questions.
• Hands‑on experience with Python and SQL for data analysis, exploration, and automation.
• Experience working with AI‑enabled analytics or advanced analytical methods, e.g. using AI features in BI tools, applying Python‑based analytics, or contributing to AI‑supported use cases.
• Solid understanding of statistics fundamentals (e.g. bias, correlation vs. causation, basic experimentation concepts).
• Ability to interpret analytical results and model outputs, including limitations and confidence.
• Experience with data visualization tools (e.g. Power BI) to communicate insights effectively.
• Strong communication skills and ability to explain analytical findings in plain language.
• Strong data quality mindset with attention to validation and documentation.
• Experience working with sensitive data and high confidentiality standards.
• Very good English skills; German is an advantage.
  
  

Nice to Have / Can Be Developed

• Hands‑on experience building or applying ML/AI techniques (e.g. forecasting, clustering, classification, NLP).
• Deeper HR domain knowledge (e.g. workforce planning, talent, learning, engagement).
• Experience with HR systems and data models (e.g. SAP SuccessFactors, Employee Central, SNOW, Eightfold, CHRIS).
• Experience with skills/taxonomy data and skill management approaches.
• Experience leading end‑to‑end analytics or dashboard projects.
• Knowledge of HR compliance topics (e.g. GDPR, Works Council processes).
• Exposure to CSRD and implications for HR data and HRIT.
• Experience contributing to responsible AI practices beyond basic usage.