Data Analyst ( REF DSR 065)

Position

Data Analyst

Location

Bangkok, Thailand

Work model

Hybrid

Employment type

Full-time

Salary

35,000-70,000 TBH monthly gross + other benefits

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!