Sr Analytics Engineer (Lending)

Come and impact millions of Brazilians!!

Want to make a difference in the lives of millions of Brazilians? At RecargaPay, we create accessible and innovative financial solutions that transform the way people interact with money. Be part of this impactful and innovative journey, connecting people with opportunities that truly make a difference in their daily lives.

Our purpose is to deliver the best mobile payment experience for Brazilians, addressing real-world challenges with smart solutions like Pix Parcelado, while staying attentive to market trends and our customers' needs. Here, we value collaboration, ownership, and a relentless pursuit of results, delivering excellence in every interaction.

If you’re looking to join a dynamic environment that challenges the status quo and puts people at the center of decision-making, RecargaPay is the perfect place for you to grow, co-create, and make a difference!

Responsibilities

We are seeking a highly analytical and detail-oriented Sr Analytics Engineer to join the Lending Squad at RecargaPay. In this role, you will transform complex data into strategic insights that support business growth, portfolio management, and product evolution. You'll work cross-functionally to ensure the Lending product is data-informed, well-monitored, and continuously optimized.

• Generate Strategic Projections & Forecasts: Produce forecasts and estimations to evaluate product performance and support short- and long-term strategic decisions.

• Drive KPI Integration into Product Development: Partner with product managers to ensure all new features and changes are built with measurable KPIs, allowing for seamless performance tracking from day one.
• Support Dashboard Development & Data Visibility: Build and enhance QlikSense dashboards to monitor portfolio, collections, and product performance. Add relevant variables and data streams to ensure comprehensive insights.
• Query & Dashboard Optimization: Continuously optimize SQL queries and improve the performance of QlikSense apps to ensure scalability, efficiency, and fast execution of reports.
• Product Analytics: Conduct in-depth analysis on user behavior, repayment trends, and risk dynamics, helping the product team make data-backed decisions.
• Cross-Functional Support: Handle analytical and operational requests from the Finance, Risk, and Data Science teams, delivering high-quality data support and insights.
• Data Governance & Documentation: Maintain clear documentation of metrics, queries, and dashboards to promote governance and reproducibility.
• Portfolio & Collections Insights: Analyze and monitor credit portfolio performance, collections effectiveness, and other key financial indicators critical to Lending.
• Contribute to Platform Migration: Support the ongoing migration from Redshift to Databricks, ensuring no data loss and continuity of insights.

Requirements

• Advanced SQL Skills: Deep experience with SQL for querying large datasets, optimizing performance, and creating reusable data logic.

• QlikSense or similar tool Expertise: Proven experience building and optimizing interactive dashboards in QlikSense or a similar tool; knowledge of app design best practices.
• Data Infrastructure Knowledge: Familiarity with Redshift, Databricks, and data warehousing concepts.
• Business & Financial Acumen: Solid understanding of credit products, collections strategies, portfolio risk, and financial KPIs.
• Analytical Communication: Strong ability to communicate analytical results clearly and collaborate effectively with technical and non-technical teams.
• Education: Bachelor’s degree in Business, Engineering, Technology, Finance, or related fields.
• Attention to Detail: Precision in handling data transformations, process documentation, and quality assurance.

Nice-to-Have Skills

• Forecasting & Predictive Modeling: Experience forecasting lending behavior, repayment rates, or credit risk metrics.
• Python for Data Analysis: Ability to support model development and data exploration using Python.
• ETL & Data Modeling: Familiarity with building scalable data models and ETL pipelines with proper governance and performance in mind.
• Automation of Analytical Workflows: Experience automating repetitive reporting tasks and optimizing analytical pipelines for better efficiency.

Benefits

• Competitive and market-aligned salary.
• Remote work — wherever you are, you’re part of the team!
• Home office allowance through a monthly deposit in the RecargaPay app.
• Health and dental plans with no co-pay.
• Life insurance.
• Flexible meal allowance (via Flash).
• TotalPass membership to take care of your health.
• Spanish or Portuguese classes.

Diversity & Inclusion at RecargaPay
At RecargaPay, you’ll have the freedom to be who you are because we believe that diverse perspectives and experiences make us more creative and stronger. Here, everyone is welcome to express themselves authentically. We value the richness of each journey and the multiple ways of seeing the world, without distinctions of gender, race, sexual orientation, age, religion, or any other characteristic that makes us unique.

About the use of your Data
By sharing your resume with us, you authorize the use of your data for analysis during the selection process and possibly for other opportunities within the RecargaPay group. You can request the update or deletion of your information at any time, in accordance with LGPD (General Data Protection Law).