Junior Data Analyst

Description

**About the opportunity** A company undergoing strong growth is seeking a **Junior Data Analyst (Analytics)** to support the evolution of its data platform, contributing to data engineering, analytics, and business intelligence initiatives. This position is ideal for early-career professionals aiming to build solid expertise in Data Engineering, Cloud Computing, and Analytics, while participating in projects that directly impact the company’s decision-making process. You will work alongside experienced professionals, contributing to the development of data pipelines, analytical modeling, process automation, and dashboard development. **\> Key responsibilities:** * Support the development and maintenance of ETL/ELT pipelines. * Develop SQL queries and Python routines. * Assist in data integration, transformation, and publication. * Automate processes to improve operational efficiency. * Perform Data Warehouse modeling using BigQuery. * Contribute to the construction of dimensional models. * Assist in query optimization and data structuring. * Conduct exploratory data analysis. * Translate business requirements into SQL queries. * Validate data consistency, quality, and reliability. * Support the creation and maintenance of dashboards in tools such as Looker, Looker Studio, Power BI, or similar. * Apply best practices in data visualization and data storytelling. * Support solutions using Cloud Functions, Cloud Run, or equivalent services. * Participate in event-driven process automation. * Use Git/GitHub for version control. * Participate in code reviews. * Support CI/CD pipelines using tools such as GitHub Actions or Cloud Build. * Contribute to monitoring and ensuring data pipeline quality. * Collaborate with Data, Product, Technology, and business teams. * Support initiatives aimed at evolving the company’s analytical architecture. **\> Requirements:** Completed undergraduate degree in: Computer Science, Information Systems, Computer Engineering, Software Engineering, Statistics, Mathematics, or related fields; **\> Technical knowledge:** * SQL * Python * Relational and dimensional data modeling * ETL/ELT * Git/GitHub * Visualization tools (Looker, Power BI, or similar) * Cloud Computing concepts * Interest in or experience with Google Cloud Platform (GCP) and BigQuery \> Preferred qualifications include experience with: * Projects using GCP * Cloud Functions * Cloud Run * Airflow * Docker * Terraform * Data storytelling * Applied statistics * Cloud certifications * Academic or personal projects related to Data Engineering * Experience in agile environments will be considered a plus. **\> What you’ll find here?** * A collaborative and continuously learning environment; * Participation in impactful data and analytics projects; * Exposure to modern data engineering and cloud technologies; * Technical development plan guided by experienced professionals; * Opportunity for growth within an expanding company. **\> Benefits package:** * Market-competitive salary. * Health and dental insurance. * Meal and food allowances. * Transportation allowance. * Partnerships with various educational institutions and gyms. * Annual bonus. * Extended maternity and paternity leave. * Life insurance. * 100% remote position. Compensation: R$5\.000,00 \- R$5\.500,00 per month Benefits: * Medical assistance * Dental assistance * Internet allowance * Partnerships and commercial discounts * Profit-sharing program * Private pension plan * Life insurance * Remote work * Food allowance * Meal allowance Work location: Remote