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Tier-1 brand, Bengaluru metro, mid-senior level, broad analytics and ML requirements.
Requires domain-specific sales forecasting and pipeline expertise, limiting cross-industry transferability.
Explicit 7-10 years, mandatory sales analytics domain experience, ML and SQL/Python skills required.
Own development, maintenance, and accuracy of core sales dashboards and reporting covering pipeline health, bookings, revenue, productivity, and cross-sell metrics.
Apply advanced analytics, AI, and predictive modeling to generate actionable sales performance insights and improve forecasting accuracy in collaboration with Sales Operations and Finance.
Drive AI and data science solutions implementation including predictive analytics, automated workflows, and sales use-case models to enhance revenue growth and sales effectiveness.
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field required; Master’s preferred.
7-10+ years’ experience in Sales Analytics, Sales Operations, Business Intelligence, Data Science, or related analytical roles.
Proficiency in SQL, Python, CRM and BI tools such as Salesforce, Tableau, or Power BI.
This is an onsite role based primarily out of an HPE office.
Experienced in applying AI, machine learning, and predictive analytics to business problems with a focus on sales and revenue impact.
Strong background managing large and complex datasets to produce scalable analytics and forecasting models improving business decision making.
Able to partner cross-functionally with Sales, Finance, and Operations to translate complex analytics into clear business insights and actionable recommendations.