Analytics Engineer, Mid-Level

• Build and optimize analytical and dimensional data models using dbt/SQL, following development best practices and governance standards
• Ensure data governance, quality, documentation, automated testing, scalability, and business impact
• Participate in discussions with business teams to understand requirements and business rules
• Work closely with software engineers to understand the structure, refresh frequency, limitations, business context, and technical characteristics of data sources
• Implement data quality tests and monitor pipelines to ensure data availability, performance, and integrity across the domain
• Actively participate in code reviews and help promote engineering best practices across the data team
• Support the data team in understanding the data platform and applying best practices
• Contribute to the development of Asaas's data platform

• Advanced SQL skills focused on data transformation and modeling
• Professional experience with dbt or similar transformation tools, with a focus on modularity, automated testing, and documentation
• Experience with analytical and dimensional data modeling, including star schemas, fact tables, dimensions, and OBTs
• Experience developing and maintaining ETL/ELT processes and analytical pipelines
• Experience with code version control using Git/GitHub
• Experience with data transformation, standardization, and documentation projects
• Ability to solve technical and business problems from a systemic perspective, translating business rules into reliable data models
• Familiarity with agile methodologies
• Basic knowledge of Python
• Completed or ongoing degree in Data Analytics/Science, Computer Science, Information Systems, Engineering, Physics, Mathematics, or a related field
• Preferred: Experience with Generative AI tools
• Preferred: Experience with the modern Analytics ecosystem, Databricks, or cloud data platforms, as well as familiarity with Airflow
• Preferred: Experience in financial institutions, ERP systems, or SaaS
• Preferred: Experience modeling financial metrics or digital product journeys

• Medical and dental insurance with no co-payment
• Life insurance
• Prescription medication allowance
• Fitness allowance
• Four free therapy or nutritionist sessions per month
• Quick massage at headquarters
• Flexible meal and food allowance on a Visa card
• Complimentary food at headquarters
• Childcare allowance
• Parental support program
• Extended maternity and paternity leave
• In-house training platform
• Education allowance covering 70% of undergraduate and language course tuition
• Allowance for purchasing courses and books
• Home office allowance
• Work equipment
• Home office furniture allowance
• Partnership with WOBA for coworking access throughout Brazil
• Birthday month day off
• Happy hour allowance
• Referral bonus for new hires
• Annual performance-based bonus
• Stock options plan
• No dress code