Data Analyst (m,f) Thai

Location: Bangkok, Thailand

Work model: Hybrid

Employment type: full time.

RESPONSIBILITIES:

- Analyze business data across deposits, withdrawals, trading volumes, customer behaviour, IB/partner structures, promotions, bonuses, and other key commercial areas
- Identify anomalies, unusual trends, data discrepancies, and potential business risks and investigate their root causes
- Reconcile data across CRM, trading platforms, internal ledgers, and other systems to ensure accuracy and consistency
- Build, maintain, and automate recurring daily, weekly, and monthly reports for management and business teams
- Translate complex datasets into clear findings, insights, and recommendations for non-technical stakeholders
- Investigate business questions using data, including customer behaviour, churn, promotion performance, and the impact of operational or policy changes
- Proactively identify growth opportunities and areas for business improvement through data analysis
- Work closely with IT and AI teams to identify additional data requirements, queries, and datasets
- Document data sources, methodologies, assumptions, and findings to ensure transparency and reproducibility
- Continuously improve analytical processes and reduce reliance on manual reporting.

REQUIREMENTS:

- Minimum 2 years of professional Data Analysis experience
- Fluent in English both verbal and written
- Strong SQL skills, including multi-table joins, window functions, and working efficiently with large datasets
- Hands-on Python experience for data analysis using pandas, Polars, or similar tools
- Strong analytical mindset with the ability to investigate anomalies and determine root causes
- Ability to translate complex data into clear business insights and recommendations
- Strong written and verbal communication skills, including presenting findings to non-technical stakeholders
- Comfortable using AI tools such as ChatGPT, Claude, or similar solutions as part of analytical workflows
- Strong ownership mentality with the ability to independently drive analytical tasks from question to conclusion
- Experience within Forex/CFD, brokerage, fintech, payments, or another financial services environment is considered a strong advantage
- Experience with financial reconciliation, dashboards, A/B testing, cohort analysis, or statistical analysis is considered an advantage
- Knowledge of DuckDB, Polars, Grafana, Metabase, Looker Studio, or similar tools is considered an advantage.

OFFER:

- Hybrid working model
- Work with real business and trading data that directly influences company decisions
- Modern analytics environment using SQL, Python, Polars, DuckDB, PostgreSQL, Grafana, and AI-powered analytical tools
- Opportunity to automate and improve existing reporting and analytical processes
- Direct exposure to commercial, trading, customer, and financial data within the Forex/CFD industry
- Career development towards broader ownership of company analytics and data standards
- And many more!