Mid-level Data Analyst

Role Overview

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

Requirements

• Experience working in data analysis and data processing.
• Knowledge in building and maintaining data pipelines (ETL/ELT).
• Knowledge of Python, SQL, and consuming APIs.

Tech Stack

• ETL
• Python
• SQL

Benefits

• Company-subsidized health insurance for the employee.
• Option to include dependents on the health plan with payroll-deducted contributions.
• Dental care (optional).
• Option to include dependents on dental coverage with payroll-deducted contributions.
• Meal voucher or food allowance.
• Transportation allowance (optional).
• Impact & Care
• Personal guidance program offering confidential emotional support and counseling.
• Gympass
• Wellhub (access to over 700 gyms in Brazil).
• Option to include dependents in Gympass
• Wellhub.
• Access to Udemy through our intranet.
• Partnerships with major consumer brands.
• Agreement with SESC for employee and dependents.
• Discount agreements with educational institutions and language schools/certification bodies.
• Group life insurance.