Data Analyst - Payment Optimization

Why should you join dLocal?dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets. 
By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.
What's the opportunity?
We are looking for a great Data Analyst who is eager to learn new things every day. If you love solving complex problems involving data analysis and being a key source of insights for high-impact decisions, check if you fit the description below and apply!
In this role, you'll be responsible for driving data analytics across different payment flows. You’ll be monitoring, understanding, and building a scalable continuous optimization operation to maximize payment conversion rates. 

What will I be doing?

• Deeply understand how our customers such as Amazon, Spotify, Booking, or Uber are using dLocal to process payments.
• Become a key player during the ramp-up of new customers, by closely analyzing transaction information and identifying areas of improvement. This involves examining millions of data points and recognizing patterns of why some transactions fail.
• Coordinate and run A/B tests to continuously improve key performance indicators.
• Work closely and be the source of insights for our Product, Machine Learning, Operations and Customer Success teams in order to develop new solutions that will increase the success of our customers.

What skills do I need?

• Analytically driven with experience manipulating large data sets in SQL or equivalent, and drawing actionable insights from data.
• 1+ years of experience in payments/product analytics.
• Extensive experience and passion for metrics and dashboards visualizations
• Highly skilled at writing SQL to query relational databases; knowledge of R or Python is a plus
• Strong communication and presentation skills (English is a must). 
• Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering, Data Science)

What do we offer?Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:- Remote work: work from anywhere or one of our offices around the globe!*- Flexibility: we have flexible schedules and we are driven by performance.- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.- Learning & development: get access to a Premium Coursera subscription.- Language classes: we provide free English, Spanish, or Portuguese classes.- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!-  dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
*For people based in Montevideo (Uruguay), 55% of the monthly attendance at the office is required. This requirement does not apply to IT and Fraud roles.
What happens after you apply?Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!
Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!