Product Data Analyst

Fuku; Kuala Lumpur; Hybrid; MYR 89,000 - 156,000; Full time

Job summary

Fuku, a European-heritage data-first business intelligence platform, seeks a Product Data Analyst in Malaysia. The role balances data engineering and analytics to uncover insights for enterprise clients.

You will build data pipelines, transform large data volumes, and deliver tailored analytics while collaborating with engineers and project managers in a hybrid Kuala Lumpur setup.

Qualifications

• Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
• Strong analytical mindset with a passion for numbers and insights.
• Ability to solve business problems using exploratory and analytical approaches.
• Proficiency in SQL and Python for data transformation and preparation.
• Experience in Data Analytics, Data Engineer, or BI-related roles.

Responsibilities

• Split role equally between data engineering (50%) and analytics (50%).
• Identify trends and perform ad-hoc analyses to support client decisions.
• Collaborate with project managers and engineers to connect data sources and deliver solutions.
• Design, develop, and implement data pipelines and scalable data models.
• Perform data integration and ETL to streamline analysis workflows.

Skills

SQL

Python

Analytical thinking

Data analysis

Education

Mathematics/Statistics/Data Science

Tools

ETL Tools

Job description

Product Data Analyst

Location & Compensation

• Location: KL Bangsar South (Hybrid)
• Compensation: RM 8,000-14,000 Basic + Benefits

Why You Should Apply

• Join a data-first business intelligence platform and tech product company originating from Europe.
• Work on discovering hidden value in unstructured data that drives significant business impact.
• Be part of a process that emphasizes tracking, measuring, and iterating, rather than simply handling data in and out.
• Deliver actionable insights to corporate and enterprise clients, moving beyond standard reporting.
• Future-proof your career by developing as a full stack data engineer and analytics professional, gaining a comprehensive understanding of the data lifecycle.

Key Responsibilities

• Split your role equally between data engineering (50%) and analytics (50%).
• Identify and analyze trends, and conduct ad-hoc analyses to generate insights that support client decision-making.
• Collaborate with project managers and engineers to understand client needs, connect data sources, and deliver tailored solutions.
• Design, develop, and implement data pipelines to ingest and transform large volumes of data, and build scalable data models that power the core platform.
• Perform data integration and preparation, including ETL processes and data structure optimization, to streamline analysis workflows.

Requirements

• Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
• Strong analytical mindset with a passion for working with numbers and converting data into actionable insights.
• Ability to define and solve ambiguous, open-ended business problems using exploratory and analytical approaches.
• Proficiency in SQL and Python for data transformation, cleaning, and preparation.
• Current experience in Data Analytics or as a Data Analyst, Data Engineer, or Business Intelligence professional, with a strong analytics background.

About the Company & Team

• A scaling European tech company with a Malaysian Engineering Hub, serving B2B enterprise customers.
• Specializes in niche, data-driven business insights tools for the cargo, logistics, aviation, and shipping sectors.
• Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting models.
• Opportunity to work with global customers, with a European head office and a Malaysian engineering hub.

Additional Notes

• Employment passes, work visas, or relocation support are not provided.
• Only candidates with work rights in Malaysia will be considered.
• This role is not suitable for fresh graduates; 4-8+ years of relevant experience is required.