Data Analyst
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What you'll do
- 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.
What they're looking for
- 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
Nice to have
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
David Kennedy Recruitment is working with a multinational financial services company specializing in online trading that is seeking to onboard a Data Analyst to join their team.
Position: Data Analyst
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!
Company
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