HP Enterprise—Senior Sales Intelligence Analyst

Job description

Description: Senior Sales Intelligence Analyst This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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: 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. Qualifications: 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 with CRM and BI platforms such as Salesforce, Tableau, Power BI, or similar tools. - Strong SQL skills and experience with Python for data analysis, modeling, and automation. - Experience with machine learning, predictive modeling, statistical analysis, and AI techniques, with the ability to apply them to practical business use cases. - Understanding of Generative AI/LLMs, AI-assisted analytics, and emerging AI capabilities, with the ability to identify relevant opportunities for sales and revenue use cases. - Experience with data preparation, feature engineering, model development, validation, and/or deployment of analytical models. - Solid understanding of sales metrics, pipeline management, forecasting methodologies, and revenue performance. - Experience developing or supporting predictive forecasting, opportunity scoring, propensity modeling, segmentation, or similar sales analytics models. - Strong understanding of data quality, data governance, and analytics best practices. - High attention to detail with a strong focus on data accuracy, integrity, and model reliability. - Ability to translate complex analytical and AI outputs into clear business insights and recommendations. - Strong communication, presentation, and stakeholder management skills, including the ability to influence senior business leaders. - Ability to work independently, prioritize multiple initiatives, and balance strategic analytics with day-to-day reporting needs. Success Measures - Ownership, reliability, and scalability of core sales reporting and dashboards. - Improved forecast visibility, accuracy, and insight into pipeline performance. - Increased use of AI, predictive analytics, and data science to support sales and revenue decisions. - Measurable improvements in data quality, reporting consistency, and analytics reliability. - Increased efficiency through automation, AI-enabled workflows, and process improvements. - Successful development and adoption of predictive/AI solutions that address meaningful sales use cases. - Strong stakeholder trust and satisfaction with analytics, data science, and AI support. - Effective knowledge sharing and mentorship across the analytics team. 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 succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking Job: Sales OperationsJob Level: Master HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. 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. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE 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. Recruitment Fraud Alert We 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. All 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. Skills: sales analytics, predictive modeling, machine learning, advanced data analysis, statistical analysis, salesforce, tableau, sql, data preparation, model development, model validation, model deployment, data governance, data quality management, sales forecasting, pipeline management, revenue performance analysis, stakeholder management, business intelligence, ai-assisted analytics, generative ai, mentorship, presentation skills, process improvement