Data Analyst / BI

Capcon Asia; Kuala Lumpur; Hybrid; MYR 80,000 - 110,000; Full time

Job summary

A leading EU engineering firm is seeking a Data Science and Analytics professional in Kuala Lumpur. You will leverage data analytics to optimize supply chains and advance digital initiatives. The ideal candidate has at least 3 years of experience in data science or business intelligence and is proficient in Python or SQL. This hybrid role offers job security, career growth opportunities, and a competitive benefits package.

Qualifications

• 3 years experience in Data Science, Business Intelligence, Supply Chain Analytics or quantitative modelling.
• Proficient in Python or R or strong SQL skills.
• Familiarity with Supply Chain Planning and Execution Systems.

Responsibilities

• Develop predictive models for demand forecasting and inventory optimization.
• Create simulation tools to support strategic planning.
• Manage and transform large datasets from ERP (e.g., SAP).
• Build automated data pipelines using Python, SQL, or similar tools.

Skills

Commercial acumen

Data Science

Business Intelligence

Supply Chain Analytics

Quantitative modelling

Python

R

SQL

Education

Bachelors in Data Science, Maths, Computer Science, Actuarial

Tools

SAP

Power BI

Python

R

Cloud platforms (Snowflake, Azure, AWS)

Job description

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