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Fuku

Posted 4 months ago

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Analytics & Data Engineer

Kuala LumpurHybridFull-time

AI Summary

Analytics & Data Engineer combines data engineering and analytics to design and build data pipelines, analytics solutions, and scalable models to provide actionable insights for clients.

About this role

Title: Analytics & Data Engineer - Fuku

URL Source: https://apply.workable.com/j/F4F0D105FA

Markdown Content: Full Stack Data (Analytics and Engineering)

Location: KL Bangsar South (Hybrid)

Salary: RM 8,000 - 12,000


Why You Should Apply

  • Discover hidden value in unstructured data to drive significant business impact.

  • Engage in continuous tracking, measurement, and iteration—not just simple data input/output.

  • Provide actionable insights to corporate and enterprise clients, going beyond standard reporting.

  • Future-proof your career by developing expertise as a full stack data engineer and data analyst, understanding the complete data lifecycle.


What You Will Do

  • Combine data engineering and analytics responsibilities.

  • Design, develop, and implement data pipelines to ingest and transform large volumes of data.

  • Build scalable data models that support the core platform.

  • Identify and analyze trends, and perform ad-hoc analyses to generate insights that assist clients in decision-making.


What You Will Need

  • Proficiency in SQL and Python for data transformation, cleaning, and preparation.

  • Strong analytical mindset with enthusiasm 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.


About the Company & Team

  • Specializes in niche, data-driven business insights tools for cargo, logistics, aviation, and shipping industries.

  • Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting.

  • Collaborate with global customers, with a head office in Europe and an engineering hub in Malaysia.


How to Apply

  • Click the “apply” button. You may submit your CV or share your LinkedIn profile—whichever you prefer.

  • The recruiter (Graham) is available to provide more information before you apply.

  • Every applicant or enquiry will receive a reply.

Skills

Ad Hoc AnalyticsBusiness Problem SolvingData CleaningData ModelingData PipelinesData PreparationData TransformationExploratory Data AnalysisPythonSQL

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