Data Mining Analyst (m/f)

About the role

Join ALEBS, the Business Services hub of Air Liquide, as a Data Mining Analyst. You will support the Group Transformation team by extracting, cleaning, and modeling large data sets to uncover simplification levers, map end‑to‑end processes, and deliver actionable insights that drive operational excellence worldwide.

Key responsibilities

• Extract, clean, and structure large volumes of data from heterogeneous Group sources.
• Perform Process Mining analyses to map, audit, and optimise end‑to‑end processes.
• Identify operational inefficiencies, bottlenecks and organisational silos through data analysis.
• Develop analytical, descriptive and predictive models to support strategic transformation decisions.
• Collaborate with process owners and business teams to translate data insights into concrete action plans.
• Design and automate dashboards to track the impact of transformation initiatives.

Required profile

• Master’s or Engineering degree in Data Science, Big Data, Statistics, Business Intelligence or a related quantitative field.
• 3‑5 years of experience as a Data Miner, Data Analyst or Data Scientist, preferably in a corporate transformation or process‑management context.
• Fluent English and strong analytical, synthesis and communication skills.

Required skills

• Advanced proficiency in SQL, Python or R.
• Experience with Process Mining tools such as Celonis or Signavio.
• Proficiency in data‑visualisation platforms like Power BI or Tableau.
• Solid knowledge of data‑mining, data‑processing and statistical‑modeling techniques.