Data Analyst

Capcon Asia; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading EU engineering firm in Kuala Lumpur seeks a Data Scientist to enhance supply chain analytics and digital transformation initiatives. The candidate will develop predictive models for demand forecasting, manage large datasets, and collaborate with teams to create impactful insights. With a strong focus on communication and continuous learning, this role offers opportunities for career advancement through participation in digital projects and automation efforts. Candidates should have experience in Python or R and analytics.

Benefits

Job security

Great benefits

Qualifications

• 3 years in Data Science, Business Intelligence, or Supply Chain Analytics.
• Experience with predictive modeling and demand forecasting.
• Strong communication skills to present insights effectively.

Responsibilities

• Develop predictive models for demand forecasting and inventory optimization.
• Create simulation tools for strategic planning and what-if analysis.
• Manage and transform large datasets from ERP systems.

Skills

Commercial acumen

Proficient in Python or R

Strong SQL skills

Data Science experience

Education

Bachelor's degree in Data Science, Maths, Computer Science or equivalent

Tools

Power BI

SAP

Cloud platforms (Snowflake, Azure, AWS)

Job description

• 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)