Informacje o stanowisku

As a Celonis Data Analyst, you will play a crucial role in transforming and preparing supply chain data for analysis. You will collaborate with SCM teams within our factory to understand data-related challenges and develop innovative solutions. Your expertise in data interpretation will help drive decisions and optimize operational efficiency. You will also support the implementation of data-driven solutions and Action Flows, leveraging a wide array of statistical and advanced analytic methods to provide valuable business insights.

How you’ll make an impact:

1. Clean, transform, and prepare supply chain data for analysis
2. Collaborate with SCM teams within assigned factory to understand data-related challenges and help to develop solutions
3. Interpret the Celonis data and help to drive decisions based on outcomes
4. Support the implementation of data-driven solutions to optimize and improve operational efficiency
5. Support implementation of Action Flows by collaborating with the data management team
6. Leverage/Implement a wide array of statistical and advanced analytic methods to drive business insights and support data-driven decisions
7. Work cross-functionally within the organization to identify opportunities to leverage data/analytics to improve business operations and drive efficiencies
8. Work on ad-hoc requests related to data visualization
9. Be an expert in Celonis data interpretation and provide support to end users (SCM)
10. Act as an interface between the Celonis implementation team and SCM in factory and CSS

Your background:

1. Bachelors degree in Business Administration, Supply Chain Management, Statistics, or a related field (or equivalent experience)
2. Minimum 2 years of experience in a data analysis role, preferably within the Supply Chain domain
3. Strong analytical skills with the ability to identify patterns, trends, and root causes from complex data sets
4. Proven experience with data visualization tools like Power BI to create impactful dashboards and reports
5. Experience with Celonis or similar process mining tools is a strong plus
6. Excellent communication and collaboration skills with the ability to present complex findings to both technical and non-technical audiences
7. Strong problem-solving and critical thinking skills
8. Ability to work independently and manage multiple projects simultaneously.

Job function: Data Analytics | Warehousing & Business Intelligence

Contract: Regular

Publication date: 2024-11-29

Reference number: R0067877

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