Data Analytics Intern – Channel Team
Juniper Networks
- Location
- Milan, Milano, Italy
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- H-1B history
- 140 approvals (FY2023)
- Posted
- Sep 17, 2026
Skills
About this role
Team
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are
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 Description
College/University Graduate hires (within 12 months of graduation per the company's definition) undergoing a specific training and development path within the EMEA Graduate Program. What you’ll do: As a Data Analytics Intern, you will work within the Channel Team to support the design, development, and maintenance of reports, dashboards, and forecasts that help drive business decisions. Your role will be pivotal in turning data into meaningful insights that support strategy and performance tracking. Your responsibilities will include: Assisting in the collection, cleaning, and analysis of business data. Designing and maintaining Power BI dashboards to visualize KPIs, trends, and forecasts. Supporting the creation of regular reporting packages for management and internal stakeholders. Performing ad hoc analysis to answer specific business questions or validate hypotheses. Collaborating with cross-functional teams to ensure accurate and timely data flows. What you’ll need: A background in Data Science, Statistics, Economics, Business Analytics or a related field. Advanced proficiency in Power BI – ability to build interactive dashboards from scratch and manage data models. Good command of Excel and data analysis tools. Basic understanding of data visualization principles. Analytical mindset and attention to detail. What we’d prefer you bring: Curiosity, a problem-solving attitude, and an eagerness to learn. Ability to interpret and communicate data in a clear and compelling way. Interest in business processes and channel performance. What you can expect from us: A practical learning experience working on real-world datasets Access to mentorship from data analysts and business professionals. Exposure to tools, techniques, and business intelligence best practices. Opportunity to build a strong foundation in reporting, forecasting, and dashboard creation. A supportive, collaborative environment that fosters innovation and growth. 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 any stage of the application or interview process, please submit your request by completing our secure form linked here . Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and