Product Data Analyst

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About this role

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.

How to Apply
- Click the โ€œapplyโ€ button to submit your application.
- You may submit an updated CV or simply share your LinkedIn profile.
- The recruiter is available to provide more information before you proceed.

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.

Frequently Asked Questions

Is the salary disclosed for the Product Data Analyst position at Fuku?
The salary for this Product Data Analyst role at Fuku is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Product Data Analyst position at Fuku located?
This Product Data Analyst role at Fuku is based in Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Product Data Analyst role at Fuku full-time or part-time?
This is listed as a Full time position. It is posted as a Product Data Analyst role at Fuku.
How do I apply for the Product Data Analyst position at Fuku?
Click the "Apply Now" button on this page. You will be redirected to Fuku's official application portal hosted on workable where you can submit your application directly.
When was the Product Data Analyst job at Fuku posted?
This Product Data Analyst position at Fuku was posted on Mar 25, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Product Data Analyst
Fuku
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