Analyze large and complex datasets to identify trends, patterns, and correlations for business decision-making.
Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
Write efficient Python scripts for data cleaning, transformation, and correlation analysis.
Design and implement robust data models (conceptual, logical, and physical) by understanding various data inputs from different data sources.
Work with manufacturing datasets (production, Factories, Product Lines, Certifications, Qualifications, Sales, quality metrics) to improve operational efficiency.
Collaborate with global stakeholders (Europe & US) to gather requirements and deliver insights.
Ensure data quality, integrity, and governance across multiple data sources.
Adhere to data privacy, security, and compliance standards, especially for European data.
Support and optimize ETL processes and data pipelines.

4–8 years of experience as a Data Analyst or similar role.
Strong expertise in data modeling.
Proficiency in Python (Pandas, NumPy, etc.) for advanced analytics and correlation analysis.
Strong knowledge of SQL, SAP, Structured and Unstructured Databases.
Experience with data visualization tools (Power BI, Tableau, etc.).
Solid understanding of data governance and privacy principles for Europe, China and other major Global locations.
Excellent communication and stakeholder management skills, especially with global teams.

Data Analyst – Manufacturing, Distribution, Factory Certification/Inspection

Key skills