Supply Chain Data Analyst (f/m/d)
Your responsibilities
Clean, transform, and prepare supply chain data for analysis
Collaborate with SCM teams across 5 shared service hubs to understand their data needs and challenges
Design and execute data collection strategies using SQL queries from various supply chain management systems
Define KPIs, develop and maintain automated dashboards, reports, and data models to help Shared Services SCM teams make faster better decisions using Celonis and PowerBI
Conduct in-depth data analysis using tools like Celonis to identify bottlenecks, root causes of issues, and opportunities for improvement
Create clear and compelling visualizations (dashboards, reports) to communicate insights and recommendations to stakeholders at all levels
Support the implementation of data-driven solutions to optimize and improve operational efficiency
Scope, develop, test, deploy and maintain automations using Action Flows in Celonis
Become expert on key internal and external data sources for SCM. Identify opportunities to leverage new data sources/features to improve existing or develop new analytic solutions. Leverage close working relations with different touchpoints within the organization such as IT, Masterdata, SAP etc
Leverage/Implement a wide array of statistical and advanced analytic methods to drive business insights and support data-driven decisions
Create end-to-end, robust analytic products in key areas of CSS SCM, working closely with CSS SCM to scope, develop, implement, and monitor solutions
Work cross-functionally within the organization to identify opportunities to leverage data/analytics to improve business operations and drive efficiencies
Work on ad-hoc requests to clean up or create new dashboards in Celonis
Your background
Bachelor's degree in Business Administration, Supply Chain Management, Statistics, or a related field (or equivalent experience)
Minimum 2 years of experience in a data analysis role, preferably within the Supply Chain domain
Strong analytical skills with the ability to identify patterns, trends, and root causes from complex data sets
Intermediate to advanced proficiency in SQL for querying data from relational databases
Proven experience with data visualization tools like Power BI to create impactful dashboards and reports
Experience with Celonis or similar process mining tools is a strong plus
Experience in developing Celonis action flows is a plus
Excellent communication and collaboration skills with the ability to present complex findings to both technical and non-technical audiences
Strong problem-solving and critical thinking skills
Ability to work independently and manage multiple projects simultaneously.
