About The Role

Strategy Data Analyst sits at the intersection of business strategy and data engineering, translating complex operational data into actionable insights, dashboards, and predictive tools that drive efficiency, cost savings, and resilience across the material flow network. The ideal candidate combines strong analytical and technical skills with the business acumen to understand how logistics and material planning decisions impact broader organizational goals.

Design, develop, and maintain interactive dashboards, scorecards, and reporting tools that provide visibility into MP&L performance metrics (e.g., inventory levels, transportation costs, supplier delivery performance, plant material flow).
Partner with MP&L leadership and cross-functional stakeholders to identify strategic data needs and translate them into analytical solutions and tool requirements.
Build and automate data pipelines that consolidate information from multiple enterprise systems (ERP, warehouse management, transportation management, supplier portals) into unified, reliable data sources.
Conduct deep-dive analyses on logistics network performance, cost drivers, and process bottlenecks to support strategic planning and continuous improvement initiatives.
Develop predictive and prescriptive models (e.g., demand forecasting, inventory optimization, network simulation) to support long-term MP&L strategy.
Apply statistical and machine learning techniques where appropriate to uncover trends, anomalies, and optimization opportunities.
Present findings and recommendations to senior leadership through clear, compelling visualizations and narratives.
Ensure data governance, quality, and consistency across analytics tools; document methodologies and maintain version control.
Collaborate with IT and data engineering teams to scale tools, integrate new data sources, and ensure system reliability.
Stay current on emerging analytics platforms, visualization tools, and industry best practices in supply chain analytics.
Bachelor's degree in Data Science, Business Analytics, Statistics, Industrial Engineering, Nechatronics Engineering, Supply Chain Management, Computer Science, or related field.
1+ years of experience in data analytics, business intelligence, or strategy roles, ideally within manufacturing, automotive, or supply chain/logistics environments.
Proficiency in SQL and at least one programming language commonly used for analytics (Python or R).
Hands-on experience building dashboards and reports using BI tools such as Power BI, Tableau, or Qlik.
Strong understanding of data modeling, ETL processes, and database structures.
Excellent analytical and problem-solving skills with the ability to translate ambiguous business questions into structured analyses.
Strong communication skills, with the ability to present technical findings to non-technical stakeholders and executives.