Analytics Engineer

FUKU; Kuala Lumpur; Hybrid; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Bonus

Travel allowance

Medical

Job summary

Fuku by Momofuku in Kuala Lumpur is seeking an analytics-focused role that sits at the intersection of data engineering and data science. You will design models, pipelines, and analytical logic to drive commercial decisions.

You will collaborate with Product, backend engineering, and data teams to interpret complex datasets and influence multi-million-dollar operations for enterprise clients. This is a permanent, hybrid role based near Bangsar South with partial on-site days.

Qualifications

• Degree in Mathematics, Statistics, Actuarial Science or Computer Science.
• Experience with data modeling and pipeline design.
• Analytics/engineering background is a plus.

Responsibilities

• Transform data by breaking down commercial goals from complex datasets.
• Develop, test, and iterate on custom analytical logic and business-critical algorithms.
• Design end-to-end data models, schema design, data pipelines & quality boundaries.
• Interpreting data in the context of enterprise client operations.
• Bridge between Product Management, backend engineering and data teams.

Skills

Analytical thinking

Algorithm validation

Cross-functional collaboration

Education

Mathematics/Statistics/Actuarial/CS degree

Tools

Python

SQL & Schema design

Git

Job description

Intro: This role sits at the intersection of Data Engineering and Data Science. You will design data models, schemas, and pipelines while developing and testing custom analytical logic and algorithms. Acting as a bridge between Product, backend engineering, and data teams, you will interpret complex datasets to drive commercial decisions.

Core Responsibilities

• Transform data by breaking down commercial goals from complex datasets.
• Develop, test, and iterate on custom analytical logic and business-critical algorithms.
• Design end-to-end data models, schema design, data pipelines & quality boundaries.
• Interpreting data in the context of enterprise client operations.
• Act as a bridge between Product Management, backend engineering and data teams.

About You

• You could be an Analytics Engineer, Data Engineer, Data Scientist, or Data Analyst.
• Analytical thinker who can validate algorithms & cross-check assumptions.
• Comfortable working with dense, multi-dimensional numerical frameworks.
• Degree in Mathematics, Statistics, Actuarial Science, Computer Science.

Tech Stack

• Python (programming and scripting).
• SQL, database normalization, schema architecture & version control systems (Git).

Nice to have

• Databricks and PySpark is preferred (can learn on the job).
• Experience in a Product company, start up or commercial SaaS enterprise.

What’s In It For You?

• Collaborating directly with senior data leaders.
• Influence multi-million-dollar operational decisions for major enterprises.
• Talented developers are empowered to make a direct impact.

Work Arrangement / Benefits

• Hybrid with 3 days work from office.
• Bangsar South (Close to MRT / LRT).
• Permanent role.
• Bonus + travel allowance + Medical.