Offers “Schneider Electric”

Expires soon Schneider Electric

VIE - Financial Analyst for Global Supply chain performance - Hungary H/F

  • Budapest (Budapest)
  • Accounting / Management control

Job description

PLEASE NOTE that only applications submitted in English can be considered by our non-French speaking partners at Schneider Electric. Therefore, it is strongly recommended that you post your resume in English.

Schneider Electric is the global specialist in energy management and automation. With revenues of ~€25 billion in FY2016, our 144,000+ employees serve customers in over 100 countries, helping them to manage their energy and process in ways that are safe, reliable,
efficient and sustainable. From the simplest of switches to complex operational systems, our technology, software and services improve the way our customers manage and automate their operations. Our connected technologies reshape industries, transform cities and
enrich lives.
At Schneider Electric, we call this Life Is On .

Main missions :

1/ Collect and retrieve finance reporting data from enterprise performance system (EPM)

2/ Check and challenge the quality and reliability of reported data

3/ Prepare and update standard reporting templates for Global Supply Chain

4/ Analyze data and performance results on monthly basis and for the quarterly business reviews

5/ Support Global supply Chain FP&A teams in reporting correct financial performance.

Desired profile

Profile and Competences:




The VIE is an international program for young professionals between the age of 18 and 28 who are European Union nationals. In addition, the candidate cannot come from the country hosting the mission.

· Education: Graduate from Business School or University.

· Technical Field: Finance & Control

· Work experience needed: 1 st experience in Finance & Control position could be a plus.

· Requested languages: Fluent English mandatory

· Personal abilities or skills: Good communication, good organisation and ability to prioritise, adaptability, autonomy, fast learner, ability to collaborate with a team, capacity of analysis in some complex / high data volume context, IT proficiency

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