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Tier-1 brand, metro location, and mid-level sales analytics title drive high competition.
Sales-centric analytics and Salesforce expertise moderately limit cross-industry transferability.
Explicit 5–10 years plus mandatory sales analytics, SQL, CRM, and BI skills make filters strict.
Own development, maintenance, and enhancement of core sales dashboards and reports covering pipeline health, bookings, revenue, and productivity metrics ensuring accuracy and scalability.
Perform advanced data analysis to identify sales performance trends, risks, and opportunities; provide actionable insights and recommendations to stakeholders.
Lead forecasting support by partnering with Sales Operations for pipeline analysis, data validation, and identifying key drivers impacting forecast accuracy.
Bachelor's degree required; Master's degree preferred.
5–10 years of experience in Sales Analytics, Sales Operations, or a related field.
Strong proficiency in CRM (e.g., Salesforce), BI tools (e.g., Tableau, Power BI), and SQL; experience with Python or similar preferred.
This is an onsite role with primary work from an HPE office.
Experienced in managing and improving sales reporting and forecasting in a complex sales environment with measurable impact on forecast visibility and data quality.
Skilled in collaborating cross-functionally with Sales, Finance, and Operations to deliver business-driven analytics and performance improvements.
Able to lead process improvements and automation initiatives to increase efficiency and reduce manual effort in reporting and data management.