Job SummaryWe are looking for a Data Analyst Intern with 1–2 years of prior experience in data analytics, data management, or business analytics. He or she will work closely with cross-functional stakeholders (Data Engineering, Cybersecurity, IT, Business Domains, Technological Centers) and support key initiatives to drive data governance, data quality, standardize definitions, and data trust.Key AccountabilitiesData Quality•Assist in identifying and documenting data quality framework, ensuring correct tracking, classification, and follow-up.•Help maintain standardized definitions, taxonomies, and controlled vocabularies across domains.Data Catalog Management•Contribute to promote the adoption and awareness of the company’s Data Catalog.•Update glossary terms and domain ownership and information management.Collaboration & Enablement• Support Data & Digital Innovation to document and communicate data governance processes• Document and manage content in different formats for presentations and communication strategy. Collaborate with other Data and business teams to understand data issues and support resolution.•Contribute to training materials, onboarding guides, and communication updates.Minimum Knowledge & Experience required for the position:•Bachelor’s or Master’s degree in Data Science, Information Systems, Engineering, Computer Science, Statistics, Business Analytics, or related discipline (completed or in final stage).•1–2 years of experience (through full-time roles, internships, or academic projects) in Data analysis, data management, or business intelligence.Skills & Capabilities:Basic understanding of:•Data governance and or Data management tools & concepts (data lineage, metadata, data quality, RBAC, data privacy).•SQL and/or Python•Data visualization tools (Power BI, Tableau, Qlik).Preferred Skills•Cloud Data Platforms knowledge (Azure, AWS, GCP) and modern data architectures.•Strong communication and documentation skills. Writen and verbal english communication skills•Detail-oriented mindset and curiosity for understanding data end to end•Ability to collaborate in a multi-disciplinary environment and complex organization matrix