Analytics Engineer

Fuku; Kuala Lumpur; Hybrid; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Bonus

Travel allowance

Medical

Job summary

Fuku in Kuala Lumpur is seeking a versatile Analytics Engineer / Data Engineer / Data Scientist / Data Analyst to design data models, pipelines, and analytical logic. You will bridge Product, backend engineering, and data teams to translate complex datasets into commercial insights.

You will apply Python and SQL to build robust data architectures, validate algorithms, and deliver business-critical analytics that influence enterprise-scale decisions, while collaborating with senior data leaders

Qualifications

• Analytical thinker who can validate algorithms and cross-check assumptions.
• Comfortable working with dense, multi-dimensional numerical frameworks.
• Degree in Mathematics, Statistics, Actuarial Science, or Computer Science.

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

Skills

Analytical thinking

Algorithm validation

Cross-functional collaboration

Education

Mathematics/Statistics/Actuarial Science/CS degree

Tools

Python

SQL

Git

Databricks

PySpark

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