About Thunes

Thunes is the Smart Superhighway to move money around the world. Thunes’ proprietary Direct Global Network allows Members to make payments in real-time in over 140 countries and more than 90 currencies. Thunes’ Network connects directly to over 12 billion mobile wallets, stablecoin wallets and bank accounts worldwide, as well as 15 billion cards via more than 220 different payment methods, such as GCash, M-Pesa, Airtel, MTN, Orange, JazzCash, Easypaisa, AliPay, WeChat Pay and many more.

Thunes’ Direct Global Network differentiates itself through its worldwide reach, in-house SmartX Treasury System and Fortress Compliance Platform, ensuring Members of the Network receive unrivaled speed, control, visibility, protection, and cost efficiencies when making real-time payments, globally. Members of Thunes’ Direct Global Network include gig economy giants like Uber and Deliveroo, super-apps like Grab and WeChat, MTOs, fintechs, PSPs and banks.

Headquartered in Singapore, Thunes has offices in 14 locations, including Barcelona, Beijing, Dubai, Hong Kong, Johannesburg, London, Manila, Nairobi, New York, Paris, Riyadh, San Francisco and Shanghai. For more information, visit: https://www.thunes.com/

Context of the role

We are looking for a driven and product-minded BI Analyst who combines strong analytical skills with a genuine interest in solving real business problems through data.

In this role, you will turn complex data into clear, actionable insights that support better decision-making across the business. You will help identify product and operational pain points, improve day-to-day insight consumption for internal teams, and contribute to a strong data informed culture across the company.

You will work closely with data engineers to design, build, and maintain analytical solutions for key internal stakeholders across different functions, that improves our productivity, business performance, and customer experience.

Key Responsibilities

Partner with stakeholders across the business to understand reporting, analysis, and insight needs, and translate them into effective analytical solutions.
Build a strong understanding of key business processes, product flows, operational challenges, and performance metrics.
Design, develop, and maintain production-grade dashboards, reports, and analytical assets using Tableau and other relevant tools.
Write production-level SQL and Python to support analytics, reporting, data transformation, and scalable insight delivery.
Work closely with data engineering teams to ensure data sources are reliable, well-structured, and fit for analytical use.
Contribute to improving reporting standards, data definitions, and analytical best practices within the team.
Manage priorities effectively across requests, aligned with team direction and company priorities.

Minimum Qualifications

Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or another quantitative field.
2-4 years of experience in a 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 optimisation, and Tableau Online administration and management.
Proven ability to work with complex datasets and turn business questions into structured, actionable analysis.
Strong analytical and problem-solving skills, with the ability to move from stakeholder requests to practical data solutions.
Good understanding of reporting design, data visualisation best practices, and how to present insights clearly for business users.
Strong attention to detail and commitment to data quality, accuracy, and reliability.
Able to communicate clearly with both technical and non-technical stakeholders.

Preferred Qualifications

Experience in fintech, payments, financial services, or another fast-paced, data-rich environment.
Experience supporting multiple business functions and balancing different stakeholder needs in a structured way.