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Mid-Level Data Analyst

Job not on LinkedIn

🕒 October 27

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🗣️🇧🇷🇵🇹 Portuguese Required

Where this job comes from

Posted on Spassu's careers page, not through a job board

First seen by Remote Rocketship October 27

Logo of Spassu

Spassu

1001 - 5000 employees

Founded 1992

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Spassu is a Brazilian company specializing in end-to-end digital transformation solutions. With over 30 years of experience, Spassu focuses on maximizing value delivery by simplifying processes and improving decision-making throughout its partners' journeys. The company employs experts in user experience, design thinking, and agile methodologies to co-create innovative solutions that meet the needs of diverse industries. By leveraging a multidisciplinary approach and applying best practices like ITIL and LEAN, Spassu facilitates continuous improvement and ensures the effective implementation of IT services across various sectors.

📋 Description

• Design, implement, and maintain analytical database structures (OLAP) using modeling approaches such as star schema and snowflake schema. • Analyze execution plans and optimize complex queries, analytical queries, and ETL routines to ensure fast, bottleneck-free reporting. • Manage access permissions, ensure the security of analytical data, and maintain compliance with data protection laws (LGPD). • Monitor and administer database instances, managing costs, scalability, and availability. • Work closely with developers and analysts to create efficient indexes, table partitions, and materialized views. • Provide timely and reliable data for reporting and decision-making.

🎯 Requirements

• Bachelor’s degree preferred in Computer Science, Engineering, or a related data field. • Certification not required. • Preferred experience: 4 years in data-related roles using agile methodologies. • Solid experience as a DBA with SQL Server, PostgreSQL, Oracle, or MySQL. • Advanced SQL proficiency, including stored procedures, views, indexing, partitioning, and query tuning. • Experience with modern data warehouses and columnar databases, such as BigQuery, Snowflake, Amazon Redshift, or ClickHouse. • Knowledge of cloud providers such as AWS, Azure, or Google Cloud.

🏖️ Benefits

• Health Insurance • Dental Insurance • Life Insurance • Meal or Food Allowance • Transportation Allowance • Wellhub (formerly Gympass)

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