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.
About the Team
Data analytics builds and improves on feedback mechanisms that influence the organization to understand our performance objectively, discover opportunities for growth and focus on making better decisions that create value for our customers. As a team, we partner with a wide range of business and product functions such as Payments, Lending, Commerce, Growth, Marketing, Operations, etc. to deliver value to our customers.
About the Role
As a Data Analyst for User Trust, your job is to own and drive analytics projects related to the measurement of risk across various business units and/or products. You will help to define, scope, and build solutions that would help the organization survey, understand, detect and protect against new and existing areas of risk/fraud in the business. You would also generate key learnings and insights that would inform the design of products and services to mitigate risks on the platform in a scalable and sustainable manner.
What will you do?
- Define and scope the unique data needs for risk surveillance, mitigation, and protection
- Design and implement data-powered feedback mechanisms that help leaders assess the amount of risk and fraud across different products and services, to drive targeted mitigation actions
- Perform analysis to discover risk-related trends and complex user 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
Who are we looking for?
- 1+ years of working experience in analytics or similar data-related roles
- 1+ year of working experience dealing with issues in the 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
- Ability to think creatively from different angles 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
- Strong sense of ownership to see through analytical projects from end-to-end
- Experience in scripting with SQL and building of 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!
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