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As a Data Analyst, Supply Chain you will analyze complex data across ERP, OMS, CRM, and planning systems, identify trends and insights, The role involves developing optimizing processes with cross-functional teams, ensuring data accuracy and integration, and supporting AI initiatives through data preparation and analysis.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Analyze complex supply chain data across multiple enterprise systems (ERP, OMS, CRM, and SC Planning tools) to identify trends, anomalies, and optimization opportunities
Collaborate with Supply Chain Operations and Planning teams to identify inefficiencies and recommend process improvements.
Ensure data consistency and quality across these systems to support AI initiatives and predictive analytics.
Collaborate closely with business analysts, report developers and system architects to ensure seamless integration of data pipelines and workflows.
Act as a trusted advisor and data champion within the organization.
Prepare and curate high-quality datasets for AI model development and testing.
Collaborate with AI teams to ensure data readiness for machine learning applications.
Contribute to the design and evaluation of AI-driven solutions for supply chain optimization.
You have:
Hands-on experience with enterprise systems such as ERP, OMS, CRM, and Supply Chain Planning tools.
Proficiency in data analysis tools like SQL, Python, R, Tableau, or Power BI.
Strong understanding of supply chain processes, metrics, and performance drivers.
It would be nice if you also had:
You'll no longer be considered for this role and your application will be removed from the employer's inbox.
