Triple-A
Data Analyst
Triple-ASingapore3 days ago
Full-timeInformation Technology

About Triple-A

Triple-A is a global payment institution licensed in the United States, Europe, and Singapore, enabling businesses worldwide to pay and get paid in both local and digital currencies.


We empower businesses to reach over 560M digital currency owners, boost revenue, and optimise costs through stablecoin and cryptocurrency payments, while eliminating volatility, custody, and compliance risks. Our commitment is to build a more efficient, inclusive global payment ecosystem by bridging the gap between local and digital currencies.


Registered with the United States Financial Crimes Enforcement Network (FinCEN), licensed by the Monetary Authority of Singapore (MAS), and Banque de France’s ACPR in Europe, Triple-A is trusted by over 20,000 businesses worldwide to make global crypto payments simple, secure, and cost-effective. For more information, visit www.triple-a.io.


Join the team

We are a dynamic and passionate team building towards a more efficient global payment ecosystem. We actively bridge the gaps in cross-border payments, between traditional & digital currencies, and Web2 and Web3.


Guided by our CEO, Eric Barbier, with 20 years of experience and a proven track record in building and scaling payment companies worldwide, Triple-A is growing our team. If you’re bold, tenacious, and creative, we believe you’d be a perfect match for us!


Key Responsibilities

  • Collaborate with various teams, including Business and Product, to leverage data for solving business-technology challenges.
  • Support the maintenance and development of data pipelines, reports, and dashboards.
  • Analyze data for trends and actively identify anomalies.


Requirements

  • A Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or a related major.
  • Prior professional experience in a Data Analysis function.
  • Proficiency in SQL is mandatory; familiarity with programming languages like Python or NodeJS is a plus.
  • Experience with Big Data platforms and data visualization tools (e.g., BigQuery, Metabase, Grafana).
  • Excellent written and verbal communication skills.

Key Skills

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