Work closely with technical teams to ensure data quality, organization, and availability for analytical use.
Support the design and maintenance of data pipelines (ETL/ELT).
Perform queries and analyses on databases using SQL.
Develop Python scripts for data processing and integration.
Consume APIs to integrate information across systems.
Support the organization and quality of the data used by the project.
Collaborate with data and business teams to build analytical solutions.
Use version control and follow development best practices.

Professional experience in data analysis and data processing, supporting the construction of pipelines, analyses, and system integrations.
Knowledge of building and maintaining data pipelines (ETL/ELT).
Proficiency in Python, SQL, and working with APIs.

Company-subsidized health insurance for the employee.
Option to include dependents in the health plan with payroll deduction.
Dental assistance (optional).
Option to include dependents in the dental plan with payroll deduction.
Meal voucher or food allowance.
Transportation voucher (optional).
Impact & Care
Personal guidance program offering confidential emotional support and counseling in psychological, legal, financial, social, and pet-related areas at no cost for the employee and legal dependents.
Gympass
Wellhub (access to over 700 gyms across Brazil with plans starting at R$ 29.90 billed via payroll deduction).
Option to include dependents in Gympass
Wellhub (up to 3 dependents
paid via credit card).
Access to Udemy via our intranet.
Partnerships with major consumer brands.
Partnership with SESC for employee and dependents.
Discount agreements with educational institutions (undergraduate and graduate) and language schools/certification providers.
Group life insurance.

Data Analyst, Mid-level

Key skills