Product Data Analyst

Malaysia | Full-time | Hybrid

One of the world’s leading fintech companies has been building its own trading platform for over 15 years, serving tens of millions of clients globally and processing millions of transactions daily. With a central hub in Cyprus and a rapidly growing office in Kuala Lumpur, the company continues to expand its international footprint.

They are now opening a new Product Data Analyst position — a high-impact role with focus on analyzing user behavior at scale, running experiments, and driving product strategy through actionable insights.

Key responsibilities and objectives: 

• Drive the development of the analytics function within a 600+ employee division, strengthening data-driven decision-making across product and business units.
• Analyze large-scale client and user interaction data to understand behavior patterns, identify inefficiencies, and uncover opportunities to improve customer experience.
• Define and improve product and operational metrics (LTV, retention, engagement, efficiency).
• Collect, clean, and process data from multiple sources, ensuring accuracy and completeness.
• Conduct exploratory data analysis (EDA), hypothesis testing, and causal inference.
• Design and analyze A/B tests and other experiments to validate product hypotheses.
• Build predictive and machine learning models (e.g., retention, churn, monetization forecasting).
• Backtest and validate proposed solutions to measure real business impact.
• Collaborate with Data Engineers to improve the data infrastructure and pipelines.
• Visualize findings and prepare reports/dashboards for stakeholders (Metabase, Grafana).
• Translate complex data insights into clear recommendations for product and business teams.
• Support product managers and senior leadership with strategic insights and scenario modeling.
• Work independently in a fast-changing environment, delivering quick and reliable solutions.

Requirements: 

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
• 3+ years of experience in data analysis, data science, or product analytics.
• Proficiency in SQL (must-have).
• 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).
• Experience with big data frameworks (e.g., Spark) and visualization tools (Metabase, Grafana) is a plus.
• Familiarity with Agile environments and collaboration with development teams is an advantage.

Soft Skills

• Team player with strong communication and stakeholder management skills.
• Structured and analytical thinker, detail-oriented, results-driven.
• Fast learner, able to work independently in a dynamic environment.
• Creative problem-solver with adaptability to changing requirements.

We offer: 
We believe that great specialists deserve exceptional care — both professionally and personally.
Joining this company means joining an environment where you’ll have everything covered so you can focus entirely on your work, growth, and family comfort.

• Competitive and attractive compensation package, with performance-based annual bonuses (2–3 salaries). 
• Relocation package covering flights, temporary accommodation, visa support, and family relocation (including pets). 
• Extensive learning opportunities: professional training, certifications, soft skills development, free English courses, and trading workshops. 
• Healthcare & insurance: full health and life insurance for employees, spouses, and children — including vaccinations, medical tests, mental health support, vision and dental coverage. 
• Generous time off: 21 days of annual leave, paid sick leave, plus national holidays. 
• Lifestyle support: allowance for sports clubs or other physical activities, meal and transportation allowance. 
• Family benefits: education allowance for children’s school and kindergarten fees. 
• Travel perks: holiday flight tickets and accommodation coverage (within the yearly limit). 
• Culture & community: outstanding team-building events, corporate parties, and strong expat-friendly support. 
• Modern workplace: office located in the heart of Kuala Lumpur, with team lunches and convenient city access. 
• Data at scale: work with massive global datasets from tens of millions of clients worldwide, solving high impact challenges at scale.