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Tier-1 employer and Bengaluru metro increase competition; senior, specialized role reduces density.
Requires deep sales analytics and forecasting experience, making backgrounds without sales domain experience less suitable.
Explicit 10+ years plus mandatory sales analytics, CRM, SQL and BI skills enforce strict filters.
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Own and maintain core sales dashboards and reports covering pipeline health, bookings, revenue, and productivity metrics ensuring data accuracy and scalability.
Conduct advanced sales data analysis to identify trends, risks, and opportunities; provide actionable insights and recommendations to stakeholders.
Support forecasting by collaborating with Sales Operations on pipeline analysis, data validation, and identifying factors impacting forecast accuracy; lead process improvement and automation initiatives.
Bachelor's degree required; Master's degree preferred.
10+ years of experience in Sales Analytics, Sales Operations, or related field.
Advanced proficiency in CRM systems (e.g., Salesforce) and BI tools (e.g., Tableau, Power BI), strong SQL skills; experience with Python or similar tools preferred.
Role requires onsite work primarily from an HPE office.
Experienced in managing and optimizing sales reporting and forecasting processes with measurable impact on forecast accuracy and data quality.
Capabilities in cross-functional collaboration with Sales, Finance, and Operations teams, translating complex sales data into clear insights for various stakeholders.
Proven track record in leading automation and process improvements to enhance reporting efficiency and accuracy in a large dataset environment.