About the Job
We are looking for a Data Analyst to work on the development and evolution of BI analytical solutions, with a strong technical foundation and a proactive mindset.
This professional will play an important role in defining and applying analytical best practices and will have the opportunity to grow into a technical leadership position based on performance and professional development.
Responsibilities
- Develop, enhance, and maintain dashboards, reports, and analytical models, ensuring data quality, performance, and reliability of information;
- Contribute to defining and applying BI and Analytics standards and best practices, supporting the organization and scalability of solutions;
- Design and improve data models and analytical layers, ensuring metric consistency and governance;
- Participate in the development and optimization of analytical pipelines, data integrations, and ETL/ELT processes in partnership with Data Engineering;
- Apply automation and AI-based solutions throughout the analytics cycle, including the use of LLMs, agents, and intelligent insight-generation processes;
- Support technical reviews of deliverables, identifying improvement opportunities and ensuring adherence to best practices;
- Collaborate in planning, prioritizing, and executing BI demands end-to-end;
- Explore new technologies, test new approaches, and propose continuous improvements in the analytical environment;
- Work closely with business areas, product teams, and stakeholders to understand requirements and translate them into effective analytical solutions;
- Demonstrate a mindset of continuous learning, autonomy, and the development of technical leadership skills.
Minimum Qualifications
- Solid experience (minimum of 3 years) in BI, Analytics, Data Engineering, or related fields;
- Strong proficiency in SQL and solid knowledge of data modeling (dimensional and relational);
- Experience with BI tools such as Power BI, Tableau, Looker, Metabase, or similar platforms;
- Experience with analytical pipelines, ETL/ELT processes, and data integrations;
- Knowledge of Python for analysis, automation, and data processing;
- Familiarity with practical AI applications in Analytics, including LLMs and automation;
- Strong analytical skills, organization, and effective communication for collaborative work;
- Proactive and adaptable profile, with interest in technical growth and professional development;
- Experience working closely with Data Engineering teams and business areas.
Preferred Qualifications
- Experience with cloud environments;
- Knowledge of DataOps, MLOps, or data governance;
- Experience with data orchestration and transformation tools such as Airflow and dbt;
- Intermediate English proficiency for technical reading and professional communication;
- Experience in technology companies, digital products, or startup environments.
At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination.
If you share these values, don’t wait — apply today!