Senior Analytics Engineer

• Design, maintain, and evolve data models powering business intelligence and analytical solutions
• Own and evolve the layered dbt data model for reliable data consumption across Power BI and downstream applications
• Develop and maintain data transformation workflows using dbt and SQL
• Extend data models to support the pricing engine MVP, including item categorization and price elasticity analysis
• Harmonize business KPIs across regions to support a common pricing methodology
• Build and optimize analytical data solutions using Databricks and Azure
• Apply Python for data processing, analysis, and automation
• Develop and maintain Power BI data models for accurate reporting and business insights
• Ensure data quality, consistency, and usability across analytical models and downstream applications
• Collaborate with business stakeholders, data teams, and regional teams to translate analytical requirements into scalable data solutions
• Contribute to improvements in data architecture, modeling practices, and analytics engineering standards

• Strong experience in analytics engineering, data engineering, or a related data-focused role
• Advanced proficiency in SQL
• Hands-on experience with dbt
• Experience designing and maintaining layered data models for analytics and business intelligence
• Experience with Databricks and Azure data environments
• Proficiency in Python for data processing, analysis, or automation
• Experience with Power BI, particularly data modeling and preparing data for reporting and analytics
• Strong understanding of data quality, data validation, and consistent metric definitions
• Ability to translate business requirements into robust, reusable data models
• Strong analytical and problem-solving skills, with attention to detail and data accuracy
• Excellent communication and collaboration skills, including the ability to work with stakeholders across different regions
• Nice to have: experience supporting pricing, revenue optimization, or commercial analytics initiatives
• Nice to have: knowledge of price elasticity, product categorization, and pricing performance metrics
• Nice to have: experience harmonizing KPIs and business definitions across regions or markets
• Nice to have: familiarity with modern data architecture and scalable analytical data platforms
• Nice to have: experience with data testing, documentation, lineage, and governance practices
• Nice to have: ability to balance technical modeling decisions with business priorities and analytical needs

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)
• Life insurance
• Continuous learning platform (CI&T University)
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• Health and well-being team, inclusion specialists, and affinity groups
• Support and accommodations for persons with disabilities during the selection process