Data Management & Analytics Intern

Summary: TGS provides scientific data and intelligence to the global energy sector, enabling energy for all by unlocking vital, data-driven solutions and knowledge. As a Data Management & Analytics Intern, you will support the organization, analysis, and operational management of TGS’ large-scale geophysical data assets, focusing on improving data accessibility and supporting operational analytics. Responsibilities: - Assist in organizing and maintaining geophysical datasets across internal data platforms - Support dataset cataloging, metadata validation, and data quality verification - Help improve dataset documentation and data discoverability - Analyze internal operational and business datasets to identify trends and opportunities for improvement - Support the development of reports and dashboards that track data usage, delivery metrics, and operational performance - Assist in identifying key performance indicators (KPIs) related to data workflows and data products - Support initiatives related to DataVerse and internal data platforms - Assist in preparing datasets that can support analytics and AI applications - Help document workflows related to dataset ingestion, processing, and delivery - Identify opportunities to streamline data management workflows - Support automation or process improvements that improve data accessibility and efficiency - Assist teams in documenting best practices for data management - Work with geoscience, data management, and digital innovation teams on cross-functional data initiatives - Support internal presentations and documentation related to data projects Required Qualifications: - Enrolled in an undergraduate or graduate program in Data Analytics, Information Systems, Computer Science, Geoscience, or related field - Familiarity with data analysis tools such as Python, SQL, or Excel - Strong analytical and organizational skills - Ability to work with structured datasets and perform basic reporting and analysis Preferred Qualifications: - Experience with data visualization tools (Power BI, Tableau, or similar) - Exposure to cloud-based data environments (AWS, Azure, or GCP) - Familiarity with data cataloging or metadata management concepts - Interest in large-scale scientific or geoscience datasets Required Skills: Data analysis, Python, SQL Important Skills: Data visualization, Cloud-based environments