Data Analyst (Finance / Manufacturing production / Overseas up to 24months)

Location: North
Industry: MNC Manufacturing Environment
Work Arrangement: 5 Days Work Week
Benefits: AWS & Variable Bonus

Training Requirement:
Selected candidates will undergo !!overseas training in Germany for up to 2 years!! before being permanently stationed in Singapore. This training will provide exposure to the company's global operations, systems, and manufacturing processes.

We are supporting a global manufacturing organization in hiring a Data Analyst who enjoys solving real operational problems - not just creating dashboards.

In this role, you will work closely with operations, engineering, and finance teams to understand why factory performance changes, where productivity is lost, and which improvement actions can deliver the greatest impact. You will transform complex factory and machine data into clear, structured insights that help leaders make informed operational decisions.

This is not an accounting role and not a reporting-only BI role. The focus is on operations performance analysis, productivity, efficiency, loss drivers, and translating operational performance into meaningful operational finance insights.

You will also collaborate with regional and global teams, with regular interaction and knowledge sharing with overseas stakeholders.

Key Responsibilities

Operations & Performance Analytics (Core Focus)

• Analyze manufacturing performance including productivity, efficiency, utilization, and operational losses

• Explain what changed, why it changed, and where improvement efforts should be focused

• Build structured analytical models to support performance reviews and continuous improvement initiatives

• Define and standardize calculation logic and interpretation of operational performance metrics

• Translate operational performance trends into operational and financial insights to support decision making

Manufacturing & Machine Data Analysis

• Analyze operational and machine data such as throughput, downtime, scrap rates, and process variation

• Support root cause analysis through structured approaches such as loss breakdowns and driver analysis

• Collaborate with Automation / OT teams to ensure machine and process data is clean, structured, and analytically usable

Data Modeling & Analytics Foundations

• Design and maintain reusable datasets and structured data models that can be used across teams

• Support data architecture concepts including data flows, transformation layers, and semantic models

• Develop analytical models and data processing logic using Python, R, and SQL

• Maintain clear documentation of data logic, assumptions, and analytical models to ensure consistency and scalability

Requirements

Must-Have

• Degree in Engineering, Data Analytics, Computer Science, Information Systems, Finance, or related fields

• Entry level is welcome to apply as traineeship program will be provided

• Applicant must be willing to undergo training and be based in Germany for up to 2 years before officially commencing the role in Singapore.

• Preferably more than 2 years or more of experience in data analytics (experience in manufacturing or industrial environments is a strong advantage)

• Strong analytical mindset with the ability to explain why performance changes occur, not just report data

• Experience working with structured data models beyond basic dashboards or reporting tools

• Hands-on experience with Python, R, and SQL

• Background in either:

  • Manufacturing / operations / process data analysis, or

  • Operational or performance analytics with interest in learning manufacturing concepts

• Strong attention to data quality, consistency, and documentation

Nice-to-Have

• Understanding of manufacturing KPIs such as productivity, efficiency, utilization, and loss drivers

• Exposure to data architecture concepts or analytics platforms

• Experience with Power BI or Microsoft Fabric

• Familiarity with ERP systems (e.g. SAP) and production master data

• Experience supporting regional or global digital initiatives

• Knowledge of JMP or Minitab

To Apply, kindly click on the APPLY NOW button.

We regret that only shortlisted candidates will be notified.

StaffKing Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)