Job Description

Be part of the ALEBS Evolution: Accelerate Innovation, Empower People

Since 2019, ALEBS (Air Liquide Europe Business Services) has evolved from a startup project into a global

powerhouse. Over the past years, we have become the beating heart of Air Liquide’s operational success, driving

efficiency and excellence across the globe.

Why Join Us ? We don’t just offer a job; we offer a seat at the forefront of the future.

Our mission is clear:

● Operational Excellence: We are pioneering the next era of business services by re-engineering and

automating processes with RPA and Generative AI.

● Our DNA of Care: We believe that high performance thrives in a culture of wellbeing. We prioritize your

physical and mental health.

● Future-Leader Engine: With our "Grow with GBS" initiative, we don’t just hire talent—we groom the

future leaders of the Air Liquide Group.

Who We Are: We are a vibrant community of 439+ experts representing 33 nationalities. From Europe to Africa,

the Middle East, and India, our diversity is our greatest asset. When you join ALEBS, you aren't just joining a service

center; you are joining a global movement where innovation meets humanity.

Ready to accelerate your career in an environment where your impact is felt worldwide? Join ALEBS and

grow with us.

How will you CONTRIBUTE and GROW?

As a Data Mining Analyst within our global Business Services team, you will support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers, map end-to-end processes, and deliver actionable insights that drive operational excellence across our global footprint.

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.
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.
Key Performance Indicators (KPIs):
Coverage rate of data-mapped processes.
Number of identified and optimized silos.
Operational efficiency gains (reduction in cycle times, automation).
Accuracy and reliability of delivered data analysis models.

As a Data Mining Analyst (m/f) within our global Business Services team, you will support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers, map end-to-end processes, and deliver actionable insights that drive operational excellence across our global footprint.

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.

• 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.
  

Key Performance Indicators (KPIs):

• Coverage rate of data-mapped processes.

• Number of identified and optimized silos.

• Operational efficiency gains (reduction in cycle times, automation).

• Accuracy and reliability of delivered data analysis models.
  

Are you a MATCH?

Education & Experience:

• 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 within a corporate transformation context or process management consulting.

Technical Skills & Competencies:

• Strong command of Data Mining, Data Processing, and statistical modeling techniques.

• Advanced proficiency in programming languages such as SQL, Python, or R.

• Experience with Process Mining tools (e.g., Celonis, Signavio) and Data Visualization platforms (e.g., Power BI, Tableau).

• Excellent analytical, synthesis, and communication skills, with the ability to explain complex data to non-technical stakeholders.

• Process-oriented mindset focused on operational excellence and problem-solving.

• Fluent in English (essential for the international business environment).
  

Please note that we do not offer relocation support for this role.

Our Differences make our Performance

At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.

We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.