Payment Optimization APM Lead
Buenos Aires - Brazil
Job Summary
We are looking for a strategic and experienced Data Analyst Lead who is eager to drive significant impact in our Product and Payments domain. If you have a passion for solving complex high-stakes business problems leading data analysis initiatives and being the key source of strategic insights for Product teams we encourage you to apply!
In this lead role youll be responsible for spearheading product-focused data analytics across different payment flows. Youll be designing and executing a scalable continuous optimization strategy to maximize payment conversion rates and drive product success.
What will I be doing
- Deeply understand how our customers such as Amazon Spotify Booking or Uber are using Dlocal to process payments specifically focusing on product performance and user experience data.
Act as a leader during the ramp-up of new customers by conducting advanced analysis of transaction information and proactively identifying key product and process improvements. This involves examining millions of data points recognizing complex failure patterns and translating findings into product requirements.
Design coordinate and lead A/B tests and experimentation to continuously improve key performance indicators (KPIs) and validate product hypotheses.
Work closely and be the strategic data partner for our Product Machine Learning Operations APM vertical and Customer Success teams providing the core insights needed to develop new high-impact product solutions focused on APMs.
Mentor and guide analysts on best practices for data extraction analysis and visualization.
What skills do I need
Analytically driven with extensive experience manipulating large data sets in SQL or equivalent and translating complex data into clear actionable product-focused insights.
2 years of experience in product and payments analytics including experience in a leadership senior or mentoring capacity.
Extensive experience and passion for defining metrics and creating compelling dashboard visualizations to track product health and business impact.
Highly skilled at writing optimized SQL to query relational databases; strong proficiency in R or Python for advanced statistical analysis is a plus.
Strong communication and presentation skills with the ability to influence technical and non-technical stakeholders (English is a must).
Degree in a quantitative field (e.g. Statistics Economics Math Sciences Engineering Data Science)
About Company
Simplify your cross-border payment operations in high-growth markets. Send and receive funds locally, reaching new customers. One easy integration, unlimited secure transactions.