Data Analyst working with engineering teams to consolidate and analyze data in wind energy. Contributing to data - driven evaluations and insights for operational improvements.
About the role
- Data Analyst performing data analyses and generating insights to support business areas for a fintech company. Working with BI tools and cloud computing environments for data integrity.
Responsibilities
- 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.
Requirements
- 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).
Benefits
- Health and dental plan
- Meal voucher and/or food allowance
- Wellhub (formerly Gympass)
- PLR (profit-sharing) tied to targets and results
- Life insurance
- Conexa (online medical and psychology consultations at no cost)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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