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.
ResponsibilitiesAnalyze 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:
- Bachelor’s degree in Data Science, Supply Chain Management, Business Analytics, with 12-15 years of experience.
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:
- Familiarity with AI/ML concepts and their application in business optimization
- Certifications in supply chain management or data analytics.
- Experience with cloud platforms and data integration tools.
- Knowledge of AI frameworks and tools
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.
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Skills Required
- Bachelor's degree in Data Science, Supply Chain Management, or Business Analytics
- 12-15 years of experience
- Hands-on experience with ERP, OMS, CRM, and Supply Chain Planning tools
- Proficiency in SQL, Python, R, Tableau, or Power BI
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
