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Strong employer brand, mid-level experience, metro location, and generalist BI/SQL skillset raise competition significantly.
BI, SQL and forecasting skills transfer across industries, though sales domain knowledge is moderately important.
Explicit 5–10 year requirement plus mandatory SQL, CRM and BI skills make filters stringent.
Own development, maintenance, and enhancement of sales dashboards and reports covering pipeline health, bookings, revenue, and productivity metrics.
Conduct deep sales data analysis to identify trends, risks, and opportunities, delivering actionable insights to stakeholders.
Partner with Sales Operations on forecasting and pipeline analysis; lead automation and process improvement initiatives in reporting.
Bachelor’s degree required; Master’s degree preferred.
5–10 years of experience in Sales Analytics, Sales Operations, or related field.
Advanced proficiency in CRM systems (Salesforce) and BI tools (Tableau, Power BI).
Strong SQL skills mandatory; experience with Python or similar tools preferred; role is onsite at HPE office.
Experienced in managing and improving large-scale sales reporting and forecasting processes with measurable impact on forecast accuracy.
Skilled in translating complex sales data into clear insights for diverse business units (Sales, Finance, Operations).
Comfortable leading process automation projects and mentoring junior analysts within a cross-functional, analytics-driven environment.