Data Analyst – Data Engineering

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Spassu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

☁️ SaaS

Digital Transformation • SaaS • Technology

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

• Responsible for collecting, compiling and analyzing large volumes of unstructured data, interpreting the results and then assisting in the creation of strategies and decision-making to support business growth. • Mine data from primary and secondary sources; • Clean and organize data to remove irrelevant information; • Analyze and interpret results using statistical tools and techniques; • Identify trends and patterns in datasets; • Identify new opportunities for process improvement; • Design, build and maintain databases and data systems; • Troubleshoot code issues and data-related problems; • Support and monitor the client’s data platform.

🎯 Requirements

• Bachelor’s degree in Information Technology, or completion of any undergraduate degree accompanied by a postgraduate certificate (specialization, master’s or doctorate) in Information Technology of at least 360 hours. • Preferred experience: 2 years in extraction, modeling and organization of large volumes of data for analytical consumption. • Knowledge of advanced SQL, Python (Pandas), Shell Script or equivalent; • ETL experience with Pentaho, Talend, SSIS, Apache NiFi or similar tools; • Databases: Oracle, SQL Server, PostgreSQL; • Cloud storage (Azure Data Lake, AWS S3) and API connections; • Concepts of Data Warehouse, dimensional and normalized data modeling; • Version control (Git), job orchestration/control (Airflow, cron).

🏖️ Benefits

• Health insurance • Dental insurance • Life insurance • Meal or food allowance • Transportation allowance • WellHub - Gympass