Walk-in || Trainee Technology - IT Interns

XPO is hiring interns and fresh graduates from the 2025-2026 graduating batches for Business Intelligence and Data Engineer roles in Hyderabad. We are looking for candidates with strong knowledge of Python, SQL, Looker, Power BI and Tableau Job Title: Business Intelligence (BI) Intern Location: Hyderabad Duration: 1 Year Department: Business Intelligence / Data Analytics Reports to: BI Manager Experience: 0 to 1 Year About the Role: We are looking for a motivated and detail-oriented Business Intelligence (BI) Intern to join our team. This internship offers a unique opportunity to work with real-world data, gain hands-on experience with BI tools, and contribute to data-driven decision-making processes across the organization. Key Responsibilities: Assist in collecting, cleaning, and transforming data from multiple sources. Support the development and maintenance of dashboards and reports using Looker. Analyze trends and patterns to provide actionable insights to various departments. Translate data into clear, compelling stories and presentations that help stakeholders understand insights and make informed business decisions. Collaborate with cross-functional teams to understand data needs and deliver relevant solutions. Document BI processes, reports, and data models for knowledge sharing and future use. Perform adhoc data analysis to support ongoing projects and business initiatives. Preferred Qualifications: Recently completed a bachelors or masters degree in data science, Computer Science, Information Systems, Statistics, Business Analytics or a related field. Strong analytical and problem-solving skills. Proficiency in Excel and familiarity with SQL. Basic understanding of data visualization tools (e.g. Looker, Power BI, Tableau). Excellent communication and teamwork skills. Job Title: Trainee Data Engineer (Internship Program) Location: Hyderabad Duration: 12 Months Experience Level: 01 Years Reports To Manager, Data Engineering About this Role: We are looking for a motivated and detail-oriented Data Engineering Intern to join our Data Engineering team. This internship offers a unique opportunity to work with real-world data, gain hands-on experience with ETL tools, and contribute to data-driven decision-making processes across the organization. . Key Responsibilities Develop BI/Data solutions focused on Data Engineering and Analytics using Python, Machine Learning, RDBMS, R, SQL, Data Modeling,, Unix Scripting, GCP services, IICS(Informatica Intelligent Cloud Services),Google Bigquery databases. Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines. Collaborate with cross-functional teams to understand data needs and deliver relevant solutions. Perform adhoc data analysis to support ongoing projects and business initiatives. Documentation: Maintain and update process documentation, support guides, and knowledge base articles. Implement data quality and validation procedures, including data pipeline error monitoring and issue resolution, to maintain the integrity of critical data assets. Troubleshoot and resolve integration issues and incidents within the Informatica platform while maintaining the highest level of data quality and integrity. Learn and utilize data orchestration tools like Apache Airflow for scheduling and monitoring data workflows. Perform ongoing platform administration tasks, including user management, data security, performance tuning, and system upgrades, to ensure optimal performance and data reliability. Preferred Qualifications: Recently completed a bachelors or masters degree in data science, Computer Science, Information Systems, Statistics, Business Analytics or a related field. Strong analytical and problem-solving skills. Proficiency in SQL/NoSQL. Proficiency in Python for data processing and scripting. Basic understanding of ETL Tools (e.g Informatica, Datastage etc) Basic understanding of data visualization tools (e.g. Looker, Power BI, Tableau). .