Data Assistant

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GP Cargo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🚗 Transport

🤝 B2B

💊 Pharmaceuticals

Transport • B2B • Pharmaceuticals

GP Cargo is a Brazilian international freight forwarder and logistics provider founded in 2009 with headquarters in Belo Horizonte. The company offers end-to-end logistics services — air (IATA-CASS accredited), sea, road and rail transport — as well as customs clearance, project cargo management, consulting and specialized pharma logistics (PHARMA-certified) for medical and hospital supplies. GP Cargo serves industrial, automotive, mining, energy, aerospace (AOG) and other sectors through global partnerships and certified processes to ensure secure, compliant and timely deliveries.

📋 Description

• Support the collection, organization, analysis, and availability of data for different areas of the company. • Transform data into useful information, ensuring quality, integrity, and support for strategic decisions. • Support data collection, processing, and analysis. • Assist in collecting and consolidating data from various sources. • Help with data cleaning and the organization of datasets, ensuring consistency and traceability. • Support reports and dashboards for decision-making. • Provide support in the development and updating of reports and dashboards. • Contribute to analyses that support strategic and operational decisions. • Assist in identifying trends and patterns through analysis. • Suggest opportunities for improvement based on observed data and results. • Work collaboratively with other teams. • Assist in understanding the data needs of internal departments. • Contribute analytical solutions that help teams answer business questions. • Support process automation. • Assist in automating analysis routines and report generation. • Contribute to productivity gains and standardization of deliverables. • Ensure data quality and integrity. • Support validation, verification, and maintenance of the company's data quality. • Flag inconsistencies and assist with corrections together with the responsible teams.

🎯 Requirements

• Bachelor's degree completed or in progress in Statistics, Mathematics, Computer Science, Engineering, or related fields. • Experience in data analysis, preferably in corporate environments. • Knowledge of data analysis tools such as Excel, SQL, Python, or Power BI.

🏖️ Benefits

• Health insurance • Dental insurance • Meal and grocery allowances • Transportation or fuel allowance • TotalPass • POP - Personal Guidance Program • Breakfast and fresh fruit • Birthday day off • Flexible working hours • Hybrid work schedule