Senior Data Analyst EMEA (H / F)

Saint-Gobain; Courbevoie; Sur place; EUR 45 000 - 70 000; Plein temps

Résumé du poste

An established industry player is seeking a Senior Data Analyst to join their Master Data Team. This role is pivotal in ensuring data quality and involves collaboration with cross-functional teams. The successful candidate will lead efforts in data profiling, cleaning, and migration strategies, while also designing dashboards with Power BI and automating analyses using Python. This position offers a unique opportunity to contribute to a strategic project that enhances data management across the organization. Join this innovative team and play a key role in driving data excellence.

Qualifications

• Experience in data quality management and analysis.
• Proficiency in Python for data analysis and visualization.

Responsabilités

• Ensure data quality by analyzing and optimizing data.
• Design and optimize dashboards using Power BI.

Connaissances

Data Quality Management

Data Analysis

Python (pandas, numpy, matplotlib, seaborn)

Power BI

SAP Data Domains

Formation

Bachelor's Degree in Data Science or related field

Master's Degree preferred

Outils

Power BI

SAP

Python

Description du poste

In line with our strategic plan "Grow & Impact," Saint-Gobain has launched the Business & Digital Transformation Program "OXYGEN" at the European level, based on S/4HANA. 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 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 monitor the cleaning process effectively.
• Support migration teams to ensure a smooth transition and minimize impacts on operations.
• Design and optimize dashboards and visualizations using Power BI.
• Develop and automate data analyses using Python (pandas, numpy, matplotlib, seaborn, etc.).
• Perform ad-hoc analyses to support decision-making.
• Write clear reports for management and stakeholders.
• Coordinate data projects with various teams.
• Mentor junior analysts in their skill development.
• Stay updated with technological advancements to improve data analysis and visualization methods.