Data Analyst / BI

Why are they awesome? We are recruiting for a EU engineering company > Fortune 500 company with 110,000 staff Job security, great benefits, HUGE (and clean) data sets (in SAP) Projects Drive continuous improvement across the Asia Pacific Regional Supply Chain for Agricultural Solutions by leveraging data analytics to identify inefficiencies and implement data-driven solutions. This role also leads digitalization and automation efforts, including data extraction, dashboard development in Power BI, and predictive analytics enablement. This role would be perfect for someone with a business intelligence or dash-boarding / power BI background who wants to build their career in data science or someone in a Data Science team who now wants most responsibility. Responsibilities Analytics & Modelling: Develop predictive models for demand forecasting, inventory optimization & lead time prediction. Decision Support & Scenario Planning: Create simulation tools to support strategic planning and what-if analysis. Monitor and refine models to ensure optimal performance. Data Engineering & Automation : Manage and transform large datasets from ERP (e.g., SAP). Bonus > Build automated data pipelines using Python, SQL, or similar tools. Career growth after 1 year > What you can learn! Apply machine learning techniques (anomaly detection, planning data analysis) to solve supply chain challenges. Digital Supply Chain Projects: Lead / co-lead digital transformation initiatives (control towers, predictive maintenance, AI in logistics). Collaborate with IT and data teams to enhance infrastructure & modelling capabilities. Team Culture New team of 2 (1 senior manager from Germany, 1 manager from Malaysia) the team does not come from a pure data science background (More BI) . So this would be the first hire in a new initiative (lots of quick wins) Work together to present reports, insights and dashboards can help senior leadership make data driven decisions Must Have Commercial acumen, ask the right questions, communicate answers and tell the story behind the data. 3 years in Data Science, Business Intelligence, Supply Chain Analytics or quantitative modelling. Proficient in Python or R or strong SQL skills. Nice to have Cloud platforms (e.g., Snowflake, Azure, AWS) and machine learning libraries (e.g., scikit-learn, TensorFlow). Familiarity with Supply Chain Planning and Execution Systems (e.g., SAP IBP, Kinaxis). Levels: Emphasis on hiring for potential (you do not need to be an expert at all of the above) > as long as you know the fundamentals / theory + some experience we would love to consider you. 3-4 years experience after graduation (DataScience, Maths, Computer Science, Actuarial) This could be in a big (or small) company or from consulting (any industry i.e Pharma, Retail, FMCG, banking) Location: Hybrid, 50% office in PJ (Bandar Utama) Permanent full time role