Data Mining Analyst

Argentina·Munromid

Other

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Quick Summary

Overview

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,

Technical Tools

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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

~1 min read

→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.

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.

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).

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.