TL;DR
Product Data Analyst (Fintech): Analyzing user behavior at scale and driving product strategy through actionable insights with an accent on defining and improving product metrics, conducting exploratory data analysis, and designing A/B tests. Focus on building predictive and machine learning models and translating complex data insights into clear recommendations for product and business teams.
Location: Hybrid (Kuala Lumpur, Malaysia), with relocation package to Malaysia available.
Company
A leading fintech company with over 15 years of experience building a trading platform, serving millions of global clients and processing millions of daily transactions.
What you will do
- Drive the development of the analytics function within a 600+ employee division.
- Analyze large-scale client and user interaction data to understand behavior patterns.
- Define and improve product and operational metrics (LTV, retention, engagement, efficiency).
- Conduct exploratory data analysis, hypothesis testing, and causal inference.
- Design and analyze A/B tests and build predictive/machine learning models.
- Visualize findings, prepare reports/dashboards, and translate insights into recommendations for product and business teams.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data analysis, data science, or product analytics.
- Proficiency in SQL.
- Strong knowledge of Python for data analysis and machine learning (pandas, visualization, ML libraries).
- Solid understanding of statistical methods, hypothesis testing, causal inference, and predictive modeling.
- Hands-on experience with exploratory data analysis (EDA) and experiment design (A/B testing).
Nice to have
- Experience with big data frameworks (e.g., Spark) and visualization tools (Metabase, Grafana).
- Familiarity with Agile environments and collaboration with development teams.
Culture & Benefits
- Competitive and attractive compensation package, with performance-based annual bonuses.
- Relocation package covering flights, temporary accommodation, visa support, and family relocation (including pets).
- Extensive learning opportunities including professional training, certifications, and English courses.
- Full health and life insurance for employees, spouses, and children, including mental health support.
- Generous time off: 21 days of annual leave, paid sick leave, plus national holidays.
- Lifestyle support with allowances for sports, meals, and transportation.
- Family benefits including education allowance for children’s school and kindergarten fees.
- Holiday flight tickets and accommodation coverage within yearly limits.
- Modern office located in the heart of Kuala Lumpur, offering team lunches and convenient city access.
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