Senior Data Analyst - 26225

Description

Job Summary: A professional responsible for data analysis, information cross-referencing, and cloud-based validations (GCP), ensuring data integrity and supporting business decisions with analytical evidence. Key Highlights: 1. Acting as a bridge between business and technology 2. Focusing on the integrity and reliability of corporate data 3. Collaborating on improving master data processes The professional is responsible for performing data analyses, information cross-referencing, and validations in a cloud environment (GCP), with emphasis on ensuring the integrity, consistency, and reliability of corporate data. Acts as a bridge between business and technology areas, interpreting requirements, executing queries, and supporting decisions based on analytical evidence. **Responsibilities:** * Conduct quantitative and qualitative data analyses, transforming raw data into relevant insights; * Develop and optimize SQL queries for cross-referencing and manipulating large volumes of data in Google Cloud Platform (GCP); * Validate data and results using Excel and/or Power BI, ensuring accuracy in deliverables; * Support business areas in interpreting results and clarifying questions regarding performed analyses; * Collaborate in maintaining and improving master data processes, contributing to standardization and quality of corporate data. **Requirements:** * Data Analysis: practical experience in interpreting and structuring data; * Intermediate SQL: proficiency in creating complex queries and joins across multiple sources; * GCP Environment: knowledge of BigQuery, Data Studio, and other components of the Google Cloud ecosystem; * Excel / Power BI: ability to build dashboards and perform cross-data validations; * Master Data (desirable): understanding of governance practices and master data consistency; * Communication: clarity in exchanging information and translating technical terms into business language; * Collaboration: ability to work effectively in multidisciplinary teams and agile environments; * Attention to Detail: analytical rigor and focus on data quality and reliability; * Autonomy: ability to propose solutions and conduct analyses independently and critically. **Important Information:** **Work Location:** São Paulo/SP **Work Model:** Hybrid **Working Hours:** 9:00 AM – 6:00 PM **Contract Type:** PJ