Bilingual Data Intern

Job not on LinkedIn

🔥 13 hours ago

🇨🇴 Colombia – Remote

👨‍🎓 Internship

⚪️ Entry-level

💬 Bilingual

🚫👨‍🎓 No degree required

👻 Ghost score 11%

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Support data analysis using basic SQL queries • Review and document data loading and transformation processes • Assist in creating data mappings (source-destination) • Validate information across different systems to ensure data quality • Work closely with Analysts, Data Engineers, and business users • Participate in the documentation of processes and findings • Provide support for initiatives related to Azure Databricks and data platforms

🎯 Requirements

• Student in the final semesters of Systems Engineering, Data Science, Statistics, Industrial Engineering, or related fields • Upper-intermediate or advanced level of English (B2+) • Basic knowledge of SQL and databases • Interest in data analysis, data modeling, and ETL processes • Proficiency in Excel and data analysis tools • Analytical skills, attention to detail, and a willingness to learn • Ability to work effectively in a team • Academic experience in data analysis or management projects • Desirable: Basic knowledge of Power BI, Azure, or Databricks

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