Sr Analytics Engineer (Lending)

RecargaPay; Brasil; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A RecargaPay, uma empresa inovadora de soluções financeiras, busca um Engenheiro de Análise Sênior para integrar a equipe de Lending. O profissional será responsável por transformar dados complexos em insights estratégicos, otimizando produtos e apoiando decisões de negócios. Com um ambiente dinâmico e colaborativo, a RecargaPay oferece oportunidades de crescimento e um pacote de benefícios atraente.

Serviços

Salário competitivo e alinhamento de mercado

Oportunidade de trabalho remoto

Ajuda de custo para home office via app RecargaPay

Planos de saúde e odontológicos sem co-pagamento

Seguro de vida

Vale refeição flexível

Associação TotalPass para saúde

Aulas de espanhol ou português

Qualificações

• Experiência avançada em SQL para consulta de grandes conjuntos de dados.
• Experiência comprovada em construção e otimização de dashboards.
• Familiaridade com conceitos de infraestrutura de dados.

Responsabilidades

• Transformar dados complexos em insights estratégicos para apoiar o crescimento dos negócios.
• Construir e aprimorar dashboards QlikSense para monitorar desempenho.
• Analisar o desempenho do portfólio de crédito e outros indicadores financeiros.

Conhecimentos

SQL

Análise de Dados

Comunicação Analítica

Otimização de Consultas

Formação académica

Bacharelado em Negócios, Engenharia, Tecnologia, Finanças ou áreas relacionadas

Ferramentas

QlikSense

Redshift

Databricks

Descrição da oferta de emprego

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. Join us in this impactful journey to connect 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 customer needs. We value collaboration, ownership, and a relentless pursuit of results, striving for excellence in every interaction.

If you seek to join a dynamic environment that challenges the status quo and centers decision-making around people, RecargaPay is the place for you to grow, co-create, and make a difference!

Responsibilities

We are looking for a highly analytical and detail-oriented Sr Analytics Engineer to join the Lending Squad at RecargaPay. You will transform complex data into strategic insights to support business growth, portfolio management, and product development. You will 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 strategic decisions.
• Drive KPI Integration into Product Development: Collaborate with product managers to ensure new features are built with measurable KPIs for seamless performance tracking.
• Support Dashboard Development & Data Visibility: Build and enhance QlikSense dashboards to monitor portfolio, collections, and product performance, adding relevant data streams for comprehensive insights.
• Query & Dashboard Optimization: Optimize SQL queries and improve QlikSense app performance for scalability and efficiency.
• Product Analytics: Conduct analysis on user behavior, repayment trends, and risk, aiding data-driven decision-making.
• Cross-Functional Support: Provide analytical and operational support to Finance, Risk, and Data Science teams.
• Data Governance & Documentation: Maintain clear documentation of metrics, queries, and dashboards to ensure governance and reproducibility.
• Portfolio & Collections Insights: Analyze credit portfolio performance, collections, and other key financial indicators.
• Contribute to Platform Migration: Support migration from Redshift to Databricks, ensuring data integrity and continuity.

• Advanced SQL Skills: Extensive experience with SQL for querying large datasets, optimizing performance, and creating reusable logic.
• QlikSense or similar tool expertise: Proven experience building and optimizing dashboards, with knowledge of app design best practices.
• Data Infrastructure Knowledge: Familiarity with Redshift, Databricks, and data warehousing concepts.
• Business & Financial Acumen: Understanding of credit products, collections, portfolio risk, and KPIs.
• Analytical Communication: Ability to clearly communicate results and collaborate with technical and non-technical teams.
• Education: Bachelor’s degree in Business, Engineering, Technology, Finance, or related fields.
• Attention to Detail: Precision in data handling, documentation, and quality assurance.

Nice-to-Have Skills

• Forecasting & Predictive Modeling: Experience in forecasting lending behavior, repayment rates, or credit risk.
• Python for Data Analysis: Support model development and data exploration using Python.
• ETL & Data Modeling: Building scalable data models and ETL pipelines with governance and performance in mind.
• Automation of Analytical Workflows: Automate repetitive reports and optimize pipelines for efficiency.

• Competitive salary and market alignment.
• Remote work opportunity, wherever you are.
• Home office allowance via RecargaPay app.
• Health and dental plans with no co-pay.
• Life insurance.
• Flexible meal allowance (via Flash).
• TotalPass membership for health.
• Spanish or Portuguese classes.

Diversity & Inclusion at RecargaPay

We believe diverse perspectives and experiences foster creativity and strength. Everyone is encouraged to express their authentic selves. We value the richness of each journey and the multiple ways of seeing the world, regardless of gender, race, sexual orientation, age, religion, or other characteristics.

Data Use Notice

By sharing your resume, you authorize us to use your data for the selection process and other opportunities within RecargaPay. You may request updates or deletion of your data at any time, in accordance with LGPD (General Data Protection Law).