Data Analytics Intern

Data Analytics Intern This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Family Definition: Students or recent graduates of college, university, or other accredited academic programs, pursuing diplomas or degrees (Associate, Bachelor’s, Master’s, or PhD) in any field. Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills. Includes internships, research roles, visiting scholar positions, or other program-related opportunities. Management Level Definition:

Develop interactive dashboards using Power BI, Tableau, or similar visualization platforms Create clear visualizations that communicate trends, anomalies, and key performance indicators Collaborate with stakeholders to understand reporting requirements Design executive-ready reports with an emphasis on usability and clarity Improve existing dashboards by enhancing performance and user experience Develop Python or R scripts to automate repetitive analysis and reporting tasks Build scheduled reporting processes Assist with exploratory data analysis to identify patterns and opportunities Implement automated data validation and exception reporting Support predictive analytics and machine learning projects where appropriate Design, develop, and maintain ETL/ELT data pipelines Acquire, clean, transform, and validate structured and semi-structured datasets Build automated workflows for recurring data processing tasks Develop reusable data models and standardized datasets for analytics Optimize SQL queries and data extraction processes for performance Assist in integrating data from APIs, databases, flat files, and cloud storage Monitor pipeline health and troubleshoot data quality issues Document datasets, schemas, and engineering processes Education & Experience: Currently pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical field. Knowledge & Skills: Experience with: Python or R, SQL and Microsoft Excel Familiarity with: Relational databases, Git or other version control systems, Data cleaning and transformation techniques Strong analytical and problem-solving abilities Curiosity to learn new technologies quickly Ability to explain technical concepts to non-technical audiences Excellent written and verbal communication Attention to detail Self-motivated with strong organizational skills Ability to work independently and within cross-functional teams Impact/Scope: University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during