Analytics Engineer
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
- Shape raw datasets into useful outputs tied to commercial goals
- Build and refine bespoke analytical methods and algorithms that support critical business decisions
- Design data structures, schemas and pipelines, setting checks for data quality
- Use enterprise client operations to interpret what the data means
- Coordinate data work across product management, backend engineering and data teams
What you bring
- A degree in mathematics, statistics, actuarial science or computer science
- You can write Python and SQL, and work with normalization, schema architecture and Git
- You assess analytical methods carefully and test the assumptions behind them
- You are comfortable working with dense numerical frameworks across multiple dimensions
Who this fits
This mid-level role suits someone with an analytics engineering, data engineering, data science or data analysis background. It is hybrid, with three days a week in the office in Bangsar South, Kuala Lumpur.
From the employer
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
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