Global Data Mining Analyst: Process Excellence & Insights

Balazs; Portugal; Teletrabalho; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

Air Liquide Europe Business Services (ALEBS) is seeking a Data Mining Analyst to support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers and map end-to-end processes across a global footprint. You will develop analytical models, collaborate with Process Owners, and design dashboards to track the impact of transformation initiatives.

Requirements include a Master’s or Engineering degree in a quantitative field and 3–5 years of

Qualificações

• Master’s Degree or Engineering Degree in Data Science, Big Data, Statistics, BI, 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.
• Strong command of data mining, data processing, and statistical modeling techniques.

Responsabilidades

• 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.

Conhecimentos

Data mining

Data processing

Statistical modeling

Communication

English fluency

Formação académica

Master’s Degree or Engineering Degree in Data Science, Big Data, Statistics, BI, or equivalent

Ferramentas

SQL

Python

R

Celonis

Signavio

Power BI

Tableau

Descrição da oferta de emprego

Air Liquide Europe Business Services (ALEBS) is seeking a Data Mining Analyst to support the Group Transformation team by exploring, analyzing, and modeling complex data to identify simplification levers and map end-to-end processes across a global footprint. You will develop analytical models, collaborate with Process Owners, and design dashboards to track the impact of transformation initiatives.

Requirements include a Master’s or Engineering degree in a quantitative field and 3–5 years of