{"id":2933726,"url":"https://alion.io/job/hewlett-packard-enterprise-data-analytics-intern-channel-team","title":"Data Analytics Intern – Channel Team","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":122,"ghost_share":0,"stale_share":0.811,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":800,"max":800,"currency":"EUR","period":"month","gross":null,"usd_annual":10764},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-22T19:36:42Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Data Analytics Intern - Channel TeamThis 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:\nHewlett 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.\nJob Description:\nCollege/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.\nWhat you’ll do:\nAs 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.\n\nYour responsibilities will include:\n\nAssisting in the collection, cleaning, and analysis of business data.\n\nDesigning and maintaining Power BI dashboards to visualize KPIs, trends, and forecasts.\n\nSupporting the creation of regular reporting packages for management and internal stakeholders.\n\nPerforming ad hoc analysis to answer specific business questions or validate hypotheses.\n\nCollaborating with cross-functional teams to ensure accurate and timely data flows.\n\nWhat you’ll need:\nA background in Data Science, Statistics, Economics, Business Analytics or a related field.\n\nAdvanced proficiency in Power BI - ability to build interactive dashboards from scratch and manage data models.\n\nGood command of Excel and data analysis tools.\n\nBasic understanding of data visualization principles.\n\nAnalytical mindset and attention to detail.\n\nWhat we’d prefer you bring:\nCuriosity, a problem-solving attitude, and an eagerness to learn.\n\nAbility to interpret and communicate data in a clear and compelling way.\n\nInterest in business processes and channel performance.\n\nWhat you can expect from us:\nA practical learning experience working on real-world datasets\n\nAccess to mentorship from data analysts and business professionals.\n\nExposure to tools, techniques, and business intelligence best practices.\n\nOpportunity to build a strong foundation in reporting, forecasting, and dashboard creation.\n\nA supportive, collaborative environment that fosters innovation and growth.\n\nAccessibility\nHPE 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.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe 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.\nUnconditional Inclusion\nWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nAdministrationJob Level:\nN/A\"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.- Italy: Monthly Salary EUR 800 - 800\nThe listed salary range reflects base salary. Variable incentives may also be offered.\"\nHPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category,and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.","description_format":"text","description_chars":6615,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cloud Platforms (IaaS & PaaS)","Enterprise Storage Systems","Network Equipment","High-Performance Computing"],"lifecycle":[{"event":"open","at":"2026-10-20T15:28:00Z"}],"visa":[],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.531,"p_room":0.44,"age_days":35,"expected_fill_days":35,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":{"stated_usd_annual":10764,"is_top_pay":false},"html_url":"https://alion.io/job/hewlett-packard-enterprise-data-analytics-intern-channel-team","json_url":"https://alion.io/job/hewlett-packard-enterprise-data-analytics-intern-channel-team.json","meta":{"generated_at":"2026-10-22T23:15:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8896,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5292},"rest":"https://alion.io/mcp/rest/get_company?id=5292"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhewlett-packard-enterprise-data-analytics-intern-channel-team"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhewlett-packard-enterprise-data-analytics-intern-channel-team"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhewlett-packard-enterprise-data-analytics-intern-channel-team"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hewlett-packard-enterprise-data-analytics-intern-channel-team\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhewlett-packard-enterprise-data-analytics-intern-channel-team"}]}