Data Analyst, Merchant Health
Sao Paulo
Applications have closed
Riskified
Leading global ecommerce enterprises leverage Riskified's AI-powered fraud and risk intelligence platform for chargeback guarantee, to grow revenues, and to fight fraud and policy abuse at scale.About Us
Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our global team helps the world’s most-innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified’s machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on NYSE under the ticker RSKD.
About the Role
We are looking for a Data Analyst to work directly with our customers on our Merchant Health Team. This will be the first LATAM Analyst and you will be part of a growing operations team which is responsible for Riskified’s customers’ performance, quick problem-solving, and online fraud prevention in real time. You will take a major part in research and investigation of new online-fraud trends, in a super-dynamic environment, and therefore stand at the forefront of Riskified’s work. You’ll be leveraging your analytical and data analysis skills and knowledge of our product to provide meaningful insights to our enterprise merchants, including direct interaction with customers.
What You'll Be Doing
- Research and explore data, using high level analytical tools (R and SQL) in a high level technical environment
- Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences
- Work with account managers, meet directly with clients and deliver analytic insights for business questions
- Define and execute end-to-end technical solutions for fraud-prevention problems
- Cooperate with various teams within Riskified to enhance processes and meet customers’ needs
- Master the online fraud prevention domain through hands-on analysis of live data
Qualifications
- 2+ years of relevant strong analytical experience with complex data
- 1-2+ years of hands-on work experience with SQL
- 1-2+ years of hands-on work experience with R / Python
- Experienced problem solver and critical thinker
- Fluent (written and verbal) in English and Portuguese required
- Ability to work simultaneously on different tasks and lead multiple projects
- Experience in fraud is a must
* The position requires occasional evening and weekend shifts (schedule is flexible) as we support a global client base
In the News
Fortune Magazine: 25 Best Workplaces in New York
FoxBusiness: Fraud Protection Platform 'Riskified' Begins Trading on NYSE
Reuters: General Atlantic-Backed Riskified is Valued at 4.3 BLN in NYSE Debut
Built In NYC: 100 Best Workplaces
TechCrunch: Riskified Prevents Fraud on Your Favorite eCommerce Site
Calcalist: Riskified is the Most Promising Startup
Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis E-commerce Machine Learning Python R Research SQL
Perks/benefits: Flex hours Startup environment
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