Data Mining Analyst

About the role

Air Liquide is looking for a Data Mining Analyst to support its Group Transformation team. The role explores, analyzes and models complex data to find ways to simplify operations, maps end-to-end processes through process mining, and delivers actionable insights that break down silos and drive operational excellence.

Key responsibilities

• Extract, clean and structure large volumes of data from heterogeneous Group sources.
• Perform process mining analyses to map, audit and optimize end-to-end processes.
• Identify operational inefficiencies, bottlenecks and organizational silos through data.
• Develop analytical, descriptive and predictive models to support strategic transformation decisions.
• Work with Process Owners and business teams to turn data insights into concrete action plans.
• Design and automate dashboards to track the impact of transformation initiatives.

Required profile

• Master's degree or engineering degree in Data Science, Big Data, Statistics, Business Intelligence or an equivalent quantitative field.
• 3 to 5 years of experience as a Data Miner, Data Analyst or Data Scientist, ideally in a corporate transformation or process management consulting context.
• Fluent English, essential for the international business environment.

Required skills

• Strong command of data mining, data processing and statistical modeling techniques.
• Advanced proficiency in SQL, Python or R.
• Experience with process mining tools (e.g. Celonis, Signavio) and data visualization platforms (e.g. Power BI, Tableau).
• Analytical, synthesis and communication skills, able to explain complex data to non-technical stakeholders.