Data Analyst
Há 2 dias
**What does dLocal do?**
dLocal is the #1 payments leader focused on emerging markets and helps some of the best companies in the world expand in emerging countries. Global brands such as Amazon and Microsoft rely on us to increase conversion by eliminating complexity and managing their payments expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it simple and risk-free for our client partners to make inroads into the world’s fastest-growing, emerging markets.
**What’s the opportunity?**
We are looking for a great Payments Data Analyst who is eager to learn new things every day. If you love solving complex problems involving data analysis, and be a key source of insights for high-impact decisions, check if you fit the description below and apply
**What will I be doing?**
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.
- Work closely with Dlocal partners (payment service providers, acquirers, banks, etc.) all around the globe to optimize our partnerships.
- Coordinate and run A/B tests to continuously improve key performance indicators.
- Be the source of insights for our Product, Machine Learning, and Operations 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.
- Prior experience in Payments / Fintechs is a plus.
- 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. Leadership experience is a plus.
- Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
**What happens when I apply?**
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