Data Analytics Lead (KL Office)

Sea Gamer Mall Sdn. Bhd.; Sitiawan; On-site; MYR 60,000 - 80,000; Full time

Job summary

A leading e-commerce company in Malaysia seeks a Data Analyst to turn data into actionable insights. You will work collaboratively across marketing, product, finance, and operations to impact business decisions. Candidates should have 4–6 years of experience in analytics with strong skills in SQL and Python. A degree in relevant fields is necessary, along with a proactive mindset in fraud/risk analytics and growth analytics. Experience with BI tools is also advantageous.

Qualifications

• 4–6 years in data analytics or related field.
• Strong background linking data to business outcomes.
• Experience in fraud/risk analytics or growth analytics.

Responsibilities

• Translate business questions into actionable analysis.
• Build predictive models for churn and demand.
• Detect potential fraud with risk teams.
• Collaborate to measure initiative impact.

Skills

Data analysis

SQL

Python

R

Business Intelligence tools

Communication

Leadership

Education

Degree in Data Science, Statistics, or Computer Science

Tools

Looker

Google Analytics

Job description

Are you ready to turn data into decisions that drive growth, efficiency, and impact? Join our team and work across marketing, product, finance, and operations to make a real difference.

What You’ll Do:

• Translate business questions into actionable analysis.
• Spot trends early and build predictive models (churn, LTV, demand).
• Detect potential fraud with risk & payments teams.
• Present insights clearly and challenge assumptions with data.
• Collaborate across teams to measure initiative impact and align on KPIs.

What We’re Looking For:

• 4–6 years in data analytics or related field.
• Degree in Data Science, Statistics, or Computer Science.
• Strong SQL + Python or R.
• Experience with BI tools (Looker, GA).
• Track record linking data to business outcomes (growth, risk, efficiency).
• Strong communicator; leadership or mentoring experience a plus.
• Proactive, with background in fraud/risk analytics & growth analytics preferred.
• Experience in e-commerce, fintech, gaming, or digital businesses a bonus.