Brazil, Brazil
November 13, 2024
Apply NowJob description
Company Overview
Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.
Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.
What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.
About The Job
We are looking for a Junior Data Analyst to assist in analyzing and interpreting data sets using basic statistical tools and SQL queries. You’ll collaborate on data extraction, cleaning, and transforming raw data into valuable insights. This is an opportunity to grow your technical skills while developing reports and data visualizations. As you progress, you’ll take on more complex responsibilities and deepen your data analysis career.
Responsibilities
Dadosfera is transforming the data landscape with a platform that delivers advanced Data, AI, and Analytics capabilities—previously available only to tech giants like Meta, Amazon, Alphabet, and Microsoft—into the hands of small and medium-sized businesses. By democratizing access to these technologies, we empower our clients to accelerate business opportunities through AI-powered Data Apps.
Our platform minimizes the time spent on cloud management and streamlines the entire data lifecycle—from collection and exploration to processing and interaction—allowing clients to focus on their business goals. Built on a high-growth SaaS model, Dadosfera offers tailored solutions that meet real business needs.
What sets Dadosfera apart is our innovative focus on speed, scalability, and flexibility, combining big data storage with advanced analytics to drive strategic decision-making. Leveraging years of experience with data platform implementations on foreign public clouds, we now deliver a cost-effective, locally adapted solution tailored for both Brazilian and global markets. By blending deep expertise with localized infrastructure, Dadosfera provides a powerful, efficient tool that optimizes corporate data management and drives data-driven transformation.
About The Job
We are looking for a Junior Data Analyst to assist in analyzing and interpreting data sets using basic statistical tools and SQL queries. You’ll collaborate on data extraction, cleaning, and transforming raw data into valuable insights. This is an opportunity to grow your technical skills while developing reports and data visualizations. As you progress, you’ll take on more complex responsibilities and deepen your data analysis career.
Responsibilities
- Assist in data extraction, cleaning, and preparing data sets for analysis.
- Contribute to the development of basic reports and data visualizations for internal stakeholders and clients.
- Analyze data patterns and trends, assisting with statistical and machine learning models.
- Collaborate with business teams to provide actionable insights.
- Support the identification of data quality issues and help resolve them.
- Continuously improve skills through feedback and learning opportunities.
- Bachelor’s degree in a relevant STEM field (Data Science, Statistics, Mathematics) or equivalent certification.
- 2+ years of hands-on experience in data analysis or a related field.
- Familiarity with version control systems (Git) and SQL.
- Basic understanding of data analysis, statistics, and data visualization tools (e.g., Metabase, Power BI, Tableau).
- Knowledge or interest in Cloud Computing (preferably AWS), Data Lakes, and Data Warehousing.
- Strong communication skills and willingness to learn and grow.
- Intermediate English.
- Experience with distributed systems and cloud computing.
- Familiarity with business intelligence (BI) tools.
- Basic knowledge of Python.
