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Thunes is a global payments infrastructure company operating a Direct Global Network that enables real-time money movement across 140+ countries and 90+ currencies. The network connects to over 12 billion mobile wallets and bank accounts via 350+ payment methods, serving clients including Uber, Deliveroo, Grab, WeChat, and major financial institutions.
As a Business Intelligence Analyst, you will partner with stakeholders across the organization to translate business questions into actionable data insights. You will design and maintain production-grade dashboards and reports using Tableau, write production-level SQL and Python code, and work closely with data engineering teams to ensure data reliability and quality. Your work will support decision-making across product, operations, and business functions, helping identify pain points and improve day-to-day insight consumption.
Key responsibilities include:
- Partnering with cross-functional stakeholders to understand reporting and analysis needs
- Building dashboards, reports, and analytical assets using Tableau and related tools
- Writing production-level SQL and Python for analytics, data transformation, and scalable insight delivery
- Collaborating with data engineering to ensure data sources are reliable and well-structured
- Contributing to reporting standards, data definitions, and analytical best practices
- Managing priorities across competing requests aligned with team and company direction
You will develop a deep understanding of key business processes, product flows, operational challenges, and performance metrics in the payments and fintech space.
REQUIREMENTS:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field
- 2–5 years of experience in data, BI, analytics, or related role
- Strong hands-on experience writing production-level SQL
- Strong hands-on experience using Python for analysis, data processing, and analytical solution development
- Strong expertise in Tableau, including dashboard development, data source design, performance optimization, and Tableau Online administration
- Proven ability to work with complex datasets and translate business questions into structured analysis
- Strong analytical and problem-solving skills
- Good understanding of reporting design, data visualization best practices, and presenting insights to business users
- Strong attention to detail and commitment to data quality and accuracy
- Ability to communicate clearly with technical and non-technical stakeholders
PREFERRED QUALIFICATIONS:
- Experience in fintech, payments, financial services, or fast-paced data-rich environments
- Experience supporting multiple business functions and balancing stakeholder needs
- Strong stakeholder management and requirement-gathering skills
- Demonstrated business curiosity and proactive approach to understanding business operations
- Strong sense of ownership and ability to work independently from problem understanding to solution delivery
