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Tier-1 brand, Bangalore metro, and broad analytics+ML skill requirements create high competition.
Requires sales domain knowledge, CRM/forecasting experience, and specialized analytics skills, limiting transferability.
Explicit 7+ years plus mandatory ML/BI/CRM and model deployment skills enforce strict filters.
Own and enhance core sales reporting dashboards covering pipeline health, bookings, revenue, productivity, and cross-sell metrics ensuring accuracy and scalability.
Apply advanced analytics, AI, and predictive modeling to improve sales forecasting accuracy and generate actionable insights for business stakeholders.
Develop and operationalize AI and data science solutions for sales use cases, collaborating cross-functionally to drive adoption and measurable business impact.
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field; Master’s degree preferred.
7-10+ years of experience in Sales Analytics, Sales Operations, Business Intelligence, Data Science, or related analytical field.
Proficiency with CRM and BI tools (e.g., Salesforce, Tableau, Power BI), strong SQL skills and Python for data analysis and modeling.
Onsite work expectation at an HPE office (location in India not explicitly mentioned).
Experienced in translating complex sales data into scalable AI-driven analytics and predictive models supporting revenue and forecasting.
Strong background in statistical modeling, machine learning, and AI techniques applied practically to sales performance and pipeline management.
Able to manage analytics initiatives independently while collaborating cross-functionally and mentoring junior team members.