Senior Data Analyst - User Trust

Overview
BukuWarung is SEA’s fastest growing startup and we are building the digital infrastructure for 60 million MSMEs in Indonesia, enabling them to efficiently manage and grow their business, starting with digital bookkeeping, online storefront & payments. BukuWarung’s vision is to empower 60 million MSMEs in Indonesia to become financially aware and enable them to manage and grow their business using technology.
BukuWarung is backed by top tier VCs globally: Peter Thiel’s Valar Ventures, Goodwater Capital, Y-Combinator, AC Ventures, Quona Capital, East Ventures, Golden Gate Ventures, Rocketship.vc, Tanglin Venture Partners and strategic angel investors from Stripe, PayPal, Plaid, Grab, Gojek, Facebook, AirBnB, Fast, Mastercard etc.

Responsibilities

• Define and scope the unique data needs for risk surveillance, mitigation and fraud.
• Design and implement data powered feedback mechanisms that help leaders assess the amount of risk and fraud across different product and services, to drive targeted mitigation actions.
• Perform analysis to discover risk related trends and complex behaviors hidden in the data pick up and communicate actionable insights to business and product leaders.
• Design, build, maintain and improve risk protection measures.
• Continuously improve the use of our data and tools in your day to day work.
• Contribute to developing a deep appreciation of risk in the business.
• Contribute to improving the analytical thinking muscle throughout the organization

Requirements

• 3+ years of working experience in analytics or similar data-related roles
• 1+ years of working experience in dealing with issues in risk or fraud domain.
• Curious to learn more about the business and products, and dig into potential risk and fraud scenarios.
• Ability to scope and define problems clearly and critically
• Strong problem solving and analytical skills with the ability to define tradeoffs between decisions
• Ability to communicate effectively with a both technical and non-technical audience
• Experience in scripting with SQL and building data pipelines
• Experience in data visualization and storytelling
• (Good to have) Ability to analyze data in Python, R, or other similar tools
• (Good to have) Bachelor’s or Master’s degree in a quantitative field, e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences

If this sounds like you, please apply!