Data 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
- Handle the full analysis and reporting cycle, from preparing data to interpreting what it shows
- Turn business needs into clear analytical frameworks
- Deliver insights for internal and external clients to inform strategic decisions
- Split your work across analytics, data engineering and visualization, with analytics taking the largest share
What you bring
- You have two to four years in data analytics, data analysis, data engineering, data science or a combination
- You bring at least two years using Python to transform, clean and manipulate data
- You think analytically and can turn numerical findings into practical insights
Who this fits
This role suits someone beyond entry level who wants to work across analytics, engineering and visualization. You must live in Klang Valley for a weekly team meeting and have the right to work in Malaysia. Hours are flexible, and the role is remote.
From the employer
**Data Analytics Engineer (Remote) – Job Description**
**Location & Work Arrangement**
- Remote / Work from home
- Flexible hours and schedule; set your own
- Must be based in Klang Valley to attend one team meeting per week
**Why You Should Apply**
- Join a data-first, AI-enabled, fast-growing Malaysian tech company with recent funding
- Opportunity to be involved in the entire data journey: engineering, visualization, and analytics, rather than working in a silo
- Access to all necessary tools, support, and training to succeed. We hire your potential and train the rest!
- Work alongside a strong data team including senior data engineers, business intelligence professionals, and data scientists
- Award-winning company recognized as one of the “Best places to work” with low staff turnover and high chances of internal promotion
**Key Responsibilities**
- Role comprises: Data Engineering (20%), Visualization (20%), Analytics (60%)
- Drive end-to-end data analysis and reporting to extract, transform, and interpret data
- Translate business requirements into structured analytical frameworks
- Provide data analytics services that deliver valuable insights to support strategic business decisions for both internal and external clients
**Requirements**
- 2-4 years of working experience in Data Analytics, Data Analyst, Data Engineer, Data Science, or a combination of these roles
- Minimum 2 years of experience using Python for data transformation, cleaning, and manipulation
- Strong analytical mindset with a passion for working with numbers and turning data into actionable insights
**About the Company & Team**
- Malaysian tech-first product company established for 10 years, experiencing rapid growth
- Led by a CEO with IPO experience
- Offers a suite of Health-Tech products to enterprise customers across Southeast Asia
- Operates on a SaaS business model with strong retention, growth, and new funding
- Ideal for candidates with start-up or scale-up experience and a continuous improvement mindset
**How to Apply**
- Click the “apply” button; CVs or LinkedIn profiles are both accepted
- The recruiter is happy to share more information before you apply
- Every applicant or enquiry will receive a reply
**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
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