Financial Data Analyst

☞ Sensirion

View: 183

Update day: 21-03-2024

Location: Stäfa Zürich ZH

Category: Finance / Bank / Stock R & D Accounting / Auditing

Industry: Appliances Electrical Electronics Manufacturing Semiconductor Manufacturing

Position: Associate

Job type: Full-time

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Job content

Your Profile

  • University degree in computer science with strong focus on data analytics & statistical modeling as well as further education in business administration
  • Several years of professional experience in data analysis and reporting with SAP as well as SAP Analytics Cloud
  • Very good analytical skills as well as service-oriented, precise and independent way of working
  • Willingness to take responsibility as a project manager as well as strong communication skills to represent data-driven results and insights to stakeholders

Your Responsibilities

In a dynamic environment, you will play the driving role within the finance department for global data analysis as well as reporting and thus actively support the decision makers. Your enjoyment of data analysis, strong problem-solving skills and critical thinking are crucial for this. Your future supervisor, Dominik (Head of Accounting & Controlling), will tell you what to expect.

What are the specific tasks?

You will be responsible for the development and implementation of a global data analytics in the finance area including training and support of colleagues in the finance area and will be an important connection point between the SAP competence center and the global finance organization. Project management and implementation of data analytics & reporting with the latest SAP S/4 HANA release as well as SAP Analytics Cloud are part of your exciting tasks as well as the performance of reports and analyses in business issues to support the Business Partner Controlling as well as the management level.

What are the daily challenges?

Identifying potentials within the Sensirion Group to answer important business questions with data-driven results and insights. As well as to adapt to new circumstances in a growing environment and to develop new solutions for data analysis and reporting for all decision makers as a result.

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Deadline: 05-05-2024

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