Data Analyst | Senior

Description

**About Us** XP Inc. is one of Brazil's largest independent financial institutions, owner of brands including XP, Rico, Clear, XP Educação, InfoMoney, and others. With over 4.6 million active clients and more than R$ 1.1 trillion in assets under custody, XP Inc. has been transforming the financial market for 24 years to improve people's lives. Guided by four core values — **Big Dreams, Entrepreneurial Spirit, Customer Focus, and Open Mind** — XP Inc. continuously seeks top talent with the ambition to achieve the impossible. **About the Opportunity** ------------------------ As a Senior Analytics Engineer, you will be responsible for designing, building, and maintaining robust and scalable data pipelines, ensuring data quality and integrity for advanced analytics. You will act as a bridge between data engineering and analytics teams, transforming raw data into accessible and actionable insights for business teams. **What We’re Looking For** -------------------- **Essential Requirements:** * Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related fields; * Practical experience with ETL/ELT tools and data pipelines (e.g., Databricks, GitHub, dbt, Airflow, Apache Spark); * Advanced SQL knowledge and data modeling expertise; * Programming (VBA, SQL, PySpark); * Familiarity with cloud computing platforms (AWS, GCP, Azure); * Ability to work collaboratively, communicate clearly, and focus on delivering business value. **Nice-to-Have Qualifications:** * Experience working with REST APIs; * Azure Data Factory; * Basic VBA knowledge; * Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI) is a plus; * Knowledge of programming languages such as Python or Scala is highly valued. **Challenges and Impact** ---------------------- * Develop and maintain efficient and scalable data pipelines for data ingestion, transformation, and delivery. * Ensure data quality, consistency, and integrity through automated testing and validation. * Collaborate with Data Science, BI, and Product teams to understand analytical needs and translate them into technical solutions. * Document processes, data models, and workflows to facilitate usage and maintenance. * Optimize queries and processes to improve performance and reduce computational costs. * Monitor and resolve data- and pipeline-related issues. * Participate in defining data architecture and best practices for data engineering. * Build and monitor pipelines in Databricks. * Develop and maintain analytical tools. * Create reports/dashboards and conduct studies focused on the Performance and Analytics Chapter. * **Process Steps** * **Initial Screening**: Resume review to assess alignment with qualifications and job requirements. * **General Assessments**: Cultural fit evaluation using the Mindsight assessment and logical reasoning test from Predictive Index. * **Recruitment Team Interview**: Discussion about expectations regarding the role and professional goals. * **Technical Assessment**: Interview focused on role-specific technical skills. * **Leadership Interview**: A conversation to discuss your vision and how you can contribute to the team and company. * **Peer Interview**: Interaction with future colleagues to evaluate synergy and teamwork. * **Offer**: Presentation of the employment proposal, including details on compensation and benefits. **Benefits:** Health and Well-being: * Health insurance * Dental insurance * Wellhub (Gympass) * Zenklub * Life insurance * iFood Benefits (flexible VA and VR) * Transportation allowance * New Value (benefits club) * Parental leave: 6-month maternity leave and 20-day paternity leave * Childcare allowance Financial Life * Exclusive investment funds * Investment advisory services * XP Visa Infinite credit card with no annual fee * Credit offerings (payroll-deductible loans, home equity loans, real estate CCBs, etc.) **Flexible In-Person Work Model** Our work model varies by role — fully in-person for certain business areas and more flexible for other teams. We follow a model with higher in-person frequency, always guided by flexibility and autonomy, aligned with our entrepreneurial culture. At XP Inc., we value personal interactions and believe the office serves as a tool to strengthen workplace relationships. * *By proceeding with your application, you declare that you have read, understood, and agree to the XP Inc. Group’s Privacy Policy and those of its vendors and partners supporting the recruitment process. The XP Inc. Group may use artificial intelligence solutions to assist the recruitment team throughout the process, which may involve processing your personal data for this purpose, in accordance with the principles of the General Data Protection Law and the XP Inc. Group’s Privacy Policy.*