Data Analyst - Payment Optimization

The Data Analyst - Payment Optimization at dLocal plays a vital role in driving data analytics across different payment flows. This position involves analyzing transaction data to improve conversion rates and working closely with cross-functional teams to develop innovative solutions for clients.

To be suitable for the Data Analyst - Payment Optimization position at dLocal, candidates should have at least 1 year of experience in payments or product analytics, proficiency in SQL, and a degree in a quantitative field like Statistics, Economics, or Data Science. Strong communication skills in English are also essential.

At dLocal, Data Analysts receive continuous support for professional growth through learning benefits, collaborative team environments, and opportunities to work on high-impact projects. The company prioritizes a culture of curiosity and encourages team members to learn and evolve.

As a Data Analyst - Payment Optimization at dLocal, you will primarily use SQL for querying relational databases and may also leverage tools like R or Python for data analysis. You will additionally be involved in creating dashboards and visualizations to present data insights effectively.

The work culture at dLocal for Data Analysts is flexible, inclusive, and dynamic. You'll be part of a remote-first team that collaborates from around the globe, and the company values customer-centric innovation and growth, making it an inspiring place to work.

Primary responsibilities for a Data Analyst - Payment Optimization at dLocal include analyzing payments data to identify trends, coordinating A/B tests, providing insights to cross-functional teams, and enhancing payment processes to improve success rates for customers.

dLocal is a fantastic place for Data Analysts due to its focus on innovation, commitment to employee growth, and diverse team environment. Employees have the chance to work on impactful projects while enjoying benefits like travel and health perks.

When discussing your SQL experience, focus on specific projects where you've manipulated large datasets. Mention how you've used SQL to extract meaningful insights and how those insights have influenced business decisions.

Choose a project that demonstrates your analytical skills and problem-solving abilities. Discuss the challenge, the approach you took, and the results you achieved, emphasizing any contributions to improving conversion rates or optimizing processes.

Discuss your methodology for A/B testing, including how you define control and experimental groups, setting measurable goals, and how you interpret results. Highlight any past experiences where A/B testing has led to significant improvements.

Identify key metrics such as conversion rates, transaction success rates, and customer engagement metrics. Explain why these metrics are important for informing business strategies and enhancing user experiences.

Explain your process for creating visualizations, whether through dashboards or reports. Highlight the importance of clarity in communication and how you tailor your presentations to different audiences.

Share examples of how you've collaborated with product, engineering, or marketing teams in past roles. Emphasize the importance of team communication and how you share your analytical insights to drive decision-making.

Choose a specific instance where your analytical skills helped uncover a problem—describe your investigative process and the solutions you recommended, and any positive changes that followed.

Discuss your commitment to continuous learning, including any resources you utilize, such as online courses, webinars, or data communities, and how these have enhanced your skill set and industry knowledge.

Be genuine about what attracts you to dLocal, such as its innovative approach to payments, the opportunity to impact global markets, or the supportive and diverse team culture. Connect your skills to the mission and values of dLocal.

Explain your time management strategies, such as prioritizing tasks, breaking down projects into manageable steps, and the importance of communication with stakeholders. Share an example of successfully meeting a deadline under pressure.