The Supply Chain Data Analyst will be essential in addressing the data and analytics needs as we progress with our digital transformation, advocating decisions based on data insights and helping internal teams shift from conventional practices to uncovering valuable insights.
Requirements
- Degree in Computer Science, Information Technology, or a related STEM field.
- Minimum of 4 years of proven experience in the domain of business analytics.
- Proven experience working with senior business stakeholders.
- Proven experience with Power BI & DAX for analytics and data visualization.
- Hands-on experience with SQL, Python or PySpark, with the ability to write production-ready code.
- A sound understanding of the data modeling concepts and their applications across various use cases.
- Experience in Manufacturing or Supply Chain is highly desirable.
- Experience with data science techniques and predictive methods for statistical quality and forecasting analysis is highly desirable.
Benefits
- Opportunity to learn and grow in the Supply Chain Digital Transformation space as AE embarks on its journey.
- Coaching and mentoring from Analytics Leaders in the field.
- Opportunities to travel and collaborate with cross-border teams on internal initiatives.