Consultant-Data Analyst
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
The Supply Chain Digital Data Analyst transforms complex supply chain data into actionable
insights that enable better decisions across the organization. This role works closely with
products/POD teams to identify risks uncover patterns and drive data-informed improvements
in service planning and operations.
What You Will Do
Analyze large datasets across supply chain domains such as demand planning supply
planning inventory logistics and customer service in tools such as Aera OMP and SAP.
Identify patterns anomalies and root causes behind service risks stockouts and operational
inefficiencies.
Translate complex data into clear insights for Business Stakeholders. And presenting findings
in a clear and structured way
Partner with Product Owners and supply chain teams to define data needs and analytical use
cases.
Build dashboards reports and analytical models to improve visibility of Digital Supply Chain
performance.
Support experimentation and continuous improvement by validating hypotheses with data.
Contribute to building scalable data solutions that enable decision making and actions.
What You Bring
Strong analytical mindset with the ability to explore and interpret complex datasets.
Experience with data tools such as Excel Power BI or similar.
Understanding of supply chain concepts such as service level inventory forecasting
and logistics performance is preferable
Ability to translate data into business insights and communicate them effectively.
Curiosity and problem-solving mindset to investigate root causes.
Ability to collaborate with cross-functional teams including product engineering and
operations.
insights that enable better decisions across the organization. This role works closely with
products/POD teams to identify risks uncover patterns and drive data-informed improvements
in service planning and operations.
What You Will Do
Analyze large datasets across supply chain domains such as demand planning supply
planning inventory logistics and customer service in tools such as Aera OMP and SAP.
Identify patterns anomalies and root causes behind service risks stockouts and operational
inefficiencies.
Translate complex data into clear insights for Business Stakeholders. And presenting findings
in a clear and structured way
Partner with Product Owners and supply chain teams to define data needs and analytical use
cases.
Build dashboards reports and analytical models to improve visibility of Digital Supply Chain
performance.
Support experimentation and continuous improvement by validating hypotheses with data.
Contribute to building scalable data solutions that enable decision making and actions.
What You Bring
Strong analytical mindset with the ability to explore and interpret complex datasets.
Experience with data tools such as Excel Power BI or similar.
Understanding of supply chain concepts such as service level inventory forecasting
and logistics performance is preferable
Ability to translate data into business insights and communicate them effectively.
Curiosity and problem-solving mindset to investigate root causes.
Ability to collaborate with cross-functional teams including product engineering and
operations.
