Data Analyst

Job description

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!