Data Mining Analyst

Air Liquide is hiring a Data Mining Analyst. Level rates it ; you can apply on Air Liquide.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Air Liquide.
The role was posted in the last few days.

AI in this role

How will you CONTRIBUTE and GROW?

Our transformation is reaching a strategic inflection point to accelerate our journey towards a more process and data-driven organization. Embracing structured, end-to-end processes and leveraging data are critical steps to simplify our structures, eliminate silos, and ensure long-term operational excellence across the Group.

Mission
Support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers, map end-to-end processes (through process mining), and deliver actionable insights to break down silos and drive operational excellence.

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.

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Are you a MATCH?

Education

Master’s Degree or Engineering Degree in Data Science, Big Data, Statistics, Business Intelligence, or an equivalent quantitative field.

Experience

Minimum of 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.

Skills

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).

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.

How we rate this

Data Mining Analyst at Air Liquide rates 7 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.