Technip Energies Graduate Trainee for freshers hiring announced apply now Full Time

Responsibilities:

• Data Consumption & Modeling: Rapidly learn and assist in consuming, transforming, and modeling data from various sources to ensure readiness for reporting and analysis.
• BI Reporting & Development: Focus on achieving high proficiency in Power BI to design, develop, and maintain accurate, user-friendly, and insightful dashboards that translate complex data into clear business narratives.
• Technical Language Application: Actively learn, practice, and apply core data languages, including SQL (a primary focus), DAX, M and/or Python, in real-world data projects.
• Cloud Data Exposure: Get introduced to and support tasks related to cloud data services, specifically focusing on fundamental concepts of Microsoft Azure (e.g., Azure Storage and data pipeline concepts).
• Documentation & Quality: Assist in drafting clear technical and functional documentation for data models and reports, ensuring adherence to data quality and governance standards.
• Address the enhancement of key areas within the existing portfolio to ensure continuous improvement and alignment with business objectives.
• Work on Data Quality (DQ) initiatives, including monitoring, analysis, and implementation of best practices to maintain high standards.
• Proactive Problem-Solving: Demonstrate a strong analytical mindset and a proactive, supportive approach to troubleshooting data issues and contributing to team goals.

Required Skills:

• Bachelor’s degree in engineering, Computer Science, Information Technology, Mathematics, Statistics, Data/Business Analytics or a related quantitative field.
• Proven academic or project experience with SQL (required).
• Fundamental understanding of data modelling concepts (e.g., Star/Snowflake schemas).
• Strong analytical problem-solver with an organized, detail-oriented approach.
• High capacity for adaptation and a demonstrated passion for continuous learning in the data domain.
• Excellent written and verbal English communication skills.
• 0 to 1 year of total professional experience (internships and academic projects are valued).

Nice to have:

• Specific academic projects in Data Science, Business Intelligence, or Cloud Computing.
• Exposure to Python for basic data manipulation or scripting.
• Exposure to D3.js or other JavaScript visualization libraries for custom visual development
• Any experience with a BI Tool (e.g., Power BI, Tableau) via internships or personal projects.
• Introductory certifications like Azure Fundamentals (PL-300/DA-100).
• Experience participating in hackathons or data challenges.
• Relevant technical internship experience in an analytical or data-focused domain.