TRACTIAN is reimagining industrial systems so that every frontline maintenance worker can realize their full potential. We're building software and hardware in one place—disrupting long-standing institutions with products and experiences that better serve the ambitions of our clients.Working at TRACTIAN allows you to push your limits, challenge the status quo and collaborate with some of the brightest minds in the industry. Our team members have the autonomy needed to accomplish challenging goals. We are a growth-stage startup and you will work directly with the founders, helping to define the vision, product and user experience.Data Science at TRACTIANThe Data organization develops infrastructure, statistical models, and products using IoT data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Tractian's decision-making process, in the efficiency of our operations and insights, and in the industry-leading experience we provide our consumers.What you'll doAs an Analytics Engineer, you will bridge the gap between data engineering and data analysis by designing, building, and maintaining robust data pipelines and models 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.ResponsibilitiesDevelop 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 data analysts and data scientists 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.RequirementsMaster'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 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.Bonus PointsExperience with data visualization tools such as Tableau, Looker, or Power BI.Knowledge of data governance and data security best practices.Prior experience working in a fast-paced startup environment.CompensationCompetitive salary and stock options.R$800/mo for you to use with food in supermarkets, restaurants and delivery.GymPass so you don't sit/work all day.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.R$200 a month for remote work allowance.Mental health support: we cover 40% of the cost of your therapy.Health plan with national coverage and without coparticipation.Dental Insurance: we help you with dental treatment for a better quality of life.Up to R$5.000 bonus for referring new Blue Caps.
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