Product Data Analyst
At a glance
Mid-level Data Analysis & BI role at Fuku. Kuala Lumpur · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Split your time between building data systems and using analysis to answer client questions
- Find patterns in data and run focused investigations that inform client decisions
- Work with project managers and engineers to link data sources and shape solutions around client needs
- Build pipelines to collect and transform data, then create scalable models for the core platform
- Prepare and integrate data through ETL work and structure improvements that make analysis smoother
What you bring
- You have a background in mathematics, statistics, analytics, actuarial science or data science
- You bring at least four years of relevant experience in analytics, data analysis, data engineering or BI
- You can use SQL and Python to transform, clean and prepare data
- You have a strong analytics foundation and can untangle open-ended business questions with exploratory analysis
Who this fits
This mid-level role suits an experienced analyst who wants a balanced mix of data engineering and analytics. The role is based in Bangsar South, Kuala Lumpur, with a hybrid arrangement. You must already have the right to work in Malaysia; employment passes, work visas and relocation support are not available.
From the employer
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 “apply” 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.
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