Senior Sales Intelligence Analyst

Senior Sales Intelligence Analyst 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.

What you’ll do: • Reporting, Dashboard & Analytics Ownership Own the development, maintenance, and enhancement of core sales dashboards and reporting, including pipeline health, bookings, revenue, productivity, and cross-sell metrics. Ensure reporting is accurate, consistent, scalable, and aligned with business priorities. • Advanced Data Analysis, AI & Insights Apply advanced analytics, statistical methods, and AI/data science techniques to identify trends, risks, opportunities, and drivers of sales performance. Develop predictive and AI-enabled insights that improve decision-making, and translate complex analyses into clear, actionable recommendations for business stakeholders. • Forecasting & Predictive Pipeline Analytics Partner with Sales Operations and Finance to support forecasting through pipeline analysis, data validation, predictive modeling, and identification of key drivers impacting forecast accuracy. Leverage machine learning and statistical techniques where appropriate to improve forecast visibility and confidence. • AI & Data Science Solutions Identify opportunities to apply AI, machine learning, automation, and emerging analytics capabilities to sales use cases. Develop and operationalize analytical models, including propensity, segmentation, lead/opportunity scoring, forecasting, and other predictive solutions that support revenue growth and sales effectiveness. • Cross-Functional Business Partnership Serve as a key analytics and data science partner across Sales, Finance, Operations, and other business functions. Translate business challenges into analytical solutions and collaborate with stakeholders to drive adoption and measurable business impact. • Data Quality, Governance & Process Improvement Improve the quality, reliability, and usability of sales data by identifying data gaps, inconsistencies, and process issues. Lead initiatives to streamline reporting, automate manual processes, improve data pipelines, and establish scalable analytics practices. • Mentorship & Team Support Provide technical guidance and informal mentorship to analysts and team members. Promote best practices across reporting, analytics, AI/data science, data management, and stakeholder engagement.

Education & Experience Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field required; Master’s degree preferred. 7-10+ years of experience in Sales Analytics, Sales Operations, Business Intelligence, Data Science, or a related analytical field. Demonstrated experience applying AI, machine learning, predictive analytics, or advanced statistical modeling to business problems. Experience translating business requirements into scalable analytics, data science, and AI solutions. Experience working with large, complex datasets and developing insights that directly support revenue, sales performance, and forecasting. What you need to bring: Strong analytical, quantitative, and problem-solving skills with experience working with large and complex datasets. Advanced proficiency