Vie - Data Analyst & Industrial Planner
VIE– as part of the reinforcement program of youth employability, Business France created the VIE Contract for young Europeans. To be eligible to the program, one must be between the age of 18 to 28 years old, have a European citizenship and have never worked in the country where they apply to (depending on country rules). You can find more information on the website of Business France:https://mon-vie-via. businessfrance. fr/ CONTEXT The Industrial Planning & Data Analyst is responsible for analysing and interpreting complex data sets to support decision-making and strategic planning for our industrial sites.
RESPONSIBILITIES Data Analysis and Interpretation: Collect, clean, and analyze large datasets from various industrial operations (Capacity, Equipment Database, Investments. . . ). Identify patterns, trends, and correlations in the data to help on business decisions. Reporting and Visualization: Develop and maintain dashboards and reports using Power BI to provide real-time insights. Create detailed and visually compelling reports in Excel, including pivot tables, charts, and graphs. Present findings and recommendations to stakeholders, ensuring data is accessible and understandable. Process Improvement: Collaborate with cross-functional teams to identify opportunities for process improvements based on data insights. Monitor key performance indicators (KPIs). Implement and track the effectiveness of recommended changes proposed by the team. Data Management: Ensure data integrity and accuracy by performing regular data audits and validation. Develop and maintain data documentation, including data dictionaries and standard operating procedures. Stay updated with the latest industry trends and best practices in data analysis and visualization. Planning: Support all strategic planning activities by analysing the gained datasets and reports and by preparing meaningful presentations on executive level. Support and Training: Provide training and support to team members on Excel and Power BI best practices. QUALIFICATIONS Engineering, Data Science/Analysis degree or relatedProficiency in Microsoft Excel, including advanced functions, pivot tables, and macros. Experience with Power BI, including dashboard creation and data modeling. Familiarity with SQL and other data querying languages is a plus. Technical Proficiency: good understanding of data analysis tools and techniques, particularly Excel and Power BI. Analytical Thinking: Ability to analyze complex data sets and identify key insights. Operations or Industrial background. As a responsible company, OPmobility pays particular attention to diversity and equality within its teams and the Group commits to treat all job applications equally.
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