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Educational Recommendations: Currently enrolled in a Bachelor's or Master's degree program in a quantitative field such as Data Science, Statistics, Finance, Economics, Computer Science, or a related field at an accredited university in the US.
Build, maintain, and improve analytical solutions, including preparing datasets for analysis, exploration, and visualization Develop dashboards and reports that translate complex data into clear, actionable insights Apply appropriate analytical techniques and tools based on the structure and quality of available data Document and present analysis workflows, findings, and recommendations to both technical and non-technical stakeholders Support continuous improvement initiatives aimed at forecasting accuracy, automation, and data reliability
Strong analytical foundation (statistics, time-series analysis, or basic machine learning concepts) Able to work with complex, multi-dimensional datasets Familiar with Power BI or similar data visualization tools Curious, proactive, and able to translate business needs into technical solutions in a collaborative environment It would be nice if you had: Cost forecasting or financial planning (e.g., variance analysis, scenario modeling, driver-based planning) AI-enabled productivity tools, including model documentation, validation, or monitoring concepts Data processing or modeling using SQL, Python, or R Process automation or workflow optimization tools
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NOKIA
Aug 25, 2026