Senior Data Analyst

Role Overview

Act as a technical reference in data, guiding junior and senior analysts, ensuring quality and consistency of deliveries. Lead the design and implementation of analytics, big data, and artificial intelligence projects applied to the business.

What You Will Do

Develop advanced analyses and predictive models to reduce churn, demand forecasting, network optimization, and operational efficiency. Structure and optimize ETL pipelines and data governance, ensuring scalability and reliability.

Why It Might Be a Fit

Ensure compliance with LGPD, compliance, and good security practices. Work together with business and technology areas, ensuring that data is used as a growth driver.

Requirements

• Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics, or related areas
• 5+ years of experience in data, BI, or data science
• Domination of SQL for handling large databases
• Advanced experience in BI tools (Power BI, Tableau, Qlik, Looker)
• Knowledge in Python or R for statistical analysis, automation, and machine learning
• Experience in ETL, API integration, and big data environments (Hadoop, Spark, Databricks)
• Excellent analytical capacity and clear communication for technical and executive audiences

Benefits

• Medical assistance
• Dental assistance
• Meal voucher
• Life insurance
• Transportation allowance
• Giga Inclusion – Dependent Care Allowance
• Total Pass
• Day off on birthday
• Maternity leave (180 days) and paternity leave (20 days) extended
• Psychology Viva (if enrolled in the Amil health plan)
• Course platform in the Intranet
• Tour House: discounts of 5% to 12% for the purchase of airline tickets, hotel reservations, and car rentals
• Movida: 10% discount applied on the daily rate
• Partnership portal Samsung

Tagged as: Data Analysis