Perform data analyses, identifying patterns and generating insights to support business areas, with moderate scope and intermediate complexity.
Contribute to data modeling by validating business rules and applying basic data governance best practices.
Develop and maintain dashboards and reports using BI tools (Power BI, Metabase, Data Studio, Looker Studio, or similar).
Extract, clean, and manipulate data in BigQuery and cloud computing environments, ensuring consistency and data integrity.
Collaborate with Data Engineers to validate and improve existing pipelines and data structures.
Support other analysts in executing tasks, sharing knowledge when needed, without formal leadership responsibilities.
Suggest improvements to analytical processes and workflows, contributing to greater efficiency and standardization.
Seek to understand business rules and stakeholder needs, participating in planning and defining metrics and KPIs.
Assist in documenting processes, calculation rules, and data structures, following information security guidelines and LGPD.
Monitor the lifecycle of the data under your responsibility, ensuring clarity, context, and quality of deliverables.

Intermediate to advanced SQL (preferably in BigQuery, but experience with other databases is accepted).
BI tools: Power BI, Metabase, Data Studio, or Looker.
Basic knowledge of cloud computing (preferably GCP; experience with AWS or Azure is a plus).
Ability to structure analyses and present results clearly (data storytelling).
Basic knowledge of ETL/ELT processes and data governance best practices.
Programming in Python or R for analyses and automation (desirable).
Familiarity with Machine Learning, statistical modeling, or predictive techniques (desirable).
Previous experience with data pipelines or orchestration tools (desirable).

Data Analyst II

Key skills