Senior Data Analyst EMEA (H / F)

Saint-Gobain; Courbevoie; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading multinational corporation in Courbevoie is seeking a Senior Data Analyst to join their Master Data Team. This role focuses on data quality management and involves collaborating with cross-functional teams. The ideal candidate should have strong analytical skills, proficiency in Python, and experience with data visualization tools like Power BI. This position offers opportunities to mentor junior analysts and continuous skill development.

Qualifications

• Experience in data quality management and analysis.
• Proficiency in data visualization tools like Power BI.
• Familiarity with Python and data analysis libraries.

Responsabilités

• Ensure data quality by collecting and analyzing data.
• Design and optimize dashboards using Power BI.
• Mentor junior analysts and support their skill development.

Connaissances

Analytical skills

Data quality management

Collaboration

Python (pandas, numpy)

Power BI

Outils

SAP

Data visualization tools

Description du poste

In line with our strategic plan "Grow & Impact" Saint-Gobain has launched the Business & Digital Transformation Program "OXYGEN" at European level based on S / 4 HANA. Be part of this adventure and enrich our team as soon as possible.

We are looking for a Senior Data Analyst to join our Master Data Team. This strategic project involves rigorous data quality management and close collaboration with business teams.

The Senior Data Analyst will collaborate with cross-functional teams and stakeholders across departments, countries, and systems.

He / she will lead efforts in data quality ensuring successful profiling, cleaning, and migration strategies working within the Master Data Stream.

Key Responsibilities

• Ensure data quality by collecting, analyzing, and supporting business teams in cleaning and optimizing their data.
• Assist business teams in analyzing various SAP data domains (customers, suppliers, materials, etc.)
• Implement data quality models and indicators to ensure effective monitoring of the cleaning process.
• Support migration teams to ensure a smooth transition and minimize impacts on operations.
• Design and optimize advanced dashboards and visualizations using Power BI.
• Develop and automate data analyses using Python and its ecosystem (pandas, numpy, matplotlib, seaborn, etc.)
• Perform ad-hoc analyses to assist business teams in decision-making.
• Write clear and concise reports for management and stakeholders.
• Manage and coordinate data projects with various business and technical teams.
• Mentor and support junior analysts in their skill development.
• Stay updated with technological advancements to continuously improve data analysis and visualization methods.