Analytics Engineer

Analytics at TRACTIAN The Analytics team is responsible for building and maintaining from the data pipelines until the dashboards that feed up our customers and internal data products with relevant and actionable information. This department ensures reliable, trustworthy and meaningful data, merging them from several sources and delivering them in the edge efficiently. The team's core objective is to build reliable and insightful data products from the raw consumption of the data from different sources until the dashboards delivery to the consumer. What you'll do As an Analytics Engineer, you will build data productsby designing, building, and maintaining robust data pipelines and dashboards that empower business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data quality, optimize data workflows, and enable self-service analytics, driving data-informed decision-making across the organization. Responsibilities Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats. Design, implement, and optimize data models to support reporting and analytical needs. Collaborate with business stakeholders to understand business requirements and translate them into technical specifications. Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques. Work with cloud-based data warehouses and analytics platforms to manage and store large datasets. Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data. Document data processes, workflows, and best practices to enhance team knowledge and efficiency. Create dashboards as data products as internal or external products Requirements Master’s degree in Data Science, Statistics, Computer Science, or a related field. 2 years of experience in Data Science or Analytics. Proficiency in SQL and experience with database management systems such as PostgreSQL. Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt). Experience with BI tools (e.g., PowerBi, Looker, Tableau) Experience with cloud-based data platforms like AWS Redshift. Familiarity with programming languages such as Python. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Compensation Competitive salary and stock options Optional fully funded English / Spanish courses 30 days of paid annual leave Education and courses stipend Earn a trip anywhere in the world every 4 years Day off during the week of your birthday Up to R$ 1.000/mo for meals and remote work allowance Health plan with national coverage and without coparticipation Dental Insurance: we help you with dental treatment for a better quality of life. Gympass and Sports Incentive: R$300/mo extra if you practice activities J-18808-Ljbffr

Location: São Paulo, São Paulo, BR

Posted Date: 7/3/2025