Intern, Software

The Impact You'll Make As a Intern,Software you will help transform business data into meaningful insights that support smarter decision-making across supply chain, manufacturing, and operations. Working alongside supply chain professionals, manufacturing specialists, and digital teams, you will contribute to analytics solutions that improve forecasting accuracy, inventory visibility, capacity planning, and operational performance. This internship offers an opportunity to gain hands-on experience with modern data platforms, business intelligence tools, and analytics technologies while supporting real business challenges in a global manufacturing environment. What You’ll Be Doing Support the development of data-driven solutions and analytics models for forecasting, inventory monitoring, capacity planning, and supply chain optimization. Build and maintain data pipelines, datasets, and analytical solutions using tools such as SQL, Databricks, PySpark, and related technologies. Create Power BI dashboards and reports that help business users monitor trends, performance metrics, variances, and operational insights. Validate analytical outputs against business requirements, approved calculations, and historical data to ensure accuracy and reliability. Collaborate with supply chain, operations, and digital teams to identify opportunities where data and analytics can improve decision-making and business outcomes. In this role, you will also have the opportunity to explore advanced analytics, automation, and emerging technologies while contributing to continuous improvement initiatives across the organization. What We're Looking For Currently pursuing or recently completed a B.E., B.Tech., M.Tech., or M.Sc. in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field. Foundational knowledge of Python, SQL, and Microsoft Excel with an interest in data analytics and business intelligence. Strong analytical thinking, problem-solving skills, and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with technical and non-technical stakeholders. Eagerness to learn new technologies and apply data-driven approaches to solve business challenges. Preferred Qualifications Exposure to Power BI, Databricks, PySpark, ETL/ELT processes, time-series analysis, machine learning, or full-stack development would be an advantage. Previous academic projects, internships, or coursework involving analytics, reporting, or data engineering are also beneficial. What You'll Get from Us We promote from within and support your learning with mentoring, training, and access to global opportunities. You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are. You’ll receive benefits like 13th salary, annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about—we think they’re pretty great. Ready to Make a Difference? If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us. Our Commitment to Transparency Salary ranges listed reflect only primary location and currency. For local salary ranges and specific benefits in your preferred hiring location, please ask your Talent Acquisition representative for more information. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Any benefits listed do not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice. Want to know more? Please visit our F AQ Pag e . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.