Vimlesh User
@vimleshuser
Revenue Operations leader building scalable analytics, forecasting, and attribution for B2B SaaS growth.
IndiaWhat I'm looking for
I’m a Revenue Operations professional with 7+ years of experience driving revenue growth, sales productivity, forecasting, territory planning, CRM strategy, and business intelligence across global B2B SaaS organizations. I build scalable analytics frameworks, revenue attribution models, executive dashboards, and forecasting solutions to improve pipeline visibility, customer retention, and go-to-market execution.
At ZoomInfo, I led Revenue Operations analytics for the ROI platform—developing measurement frameworks across 45.8K+ customer accounts and building an end-to-end attribution framework that uncovered $49.7M in renewal opportunities and $13M in expansion pipeline. I partner closely with Sales Leadership, Product, Finance, Customer Success, and Executives, using SQL, Python, Tableau, Power BI, CRM analytics, and predictive modeling to enable data-driven decisions.
Experience
Work history, roles, and key accomplishments
Led Revenue Operations analytics for ZoomInfo’s ROI platform, developing measurement frameworks across 45.8K+ customer accounts to improve engagement, renewals, and revenue growth. Built revenue attribution and executive KPI frameworks, forecasting models, and dashboards using SQL, Python, Tableau, and Power BI.
Led Annual Operating Planning (AOP) for North America and LATAM, supporting territory planning, quota allocation, headcount planning, and revenue forecasting. Built SQL and Tableau dashboards and forecasting models to improve forecast accuracy and executive visibility across pipeline, bookings, and productivity.
Owned CRM operations and analytics across Leads, Accounts, Contacts, and Opportunities, improving CRM data quality, reporting accuracy, and operational efficiency. Developed SQL pipelines and Tableau dashboards and established CRM governance, validation rules, and workflow automation to strengthen CRM hygiene and forecasting reliability.
Developed analytical models supporting production planning, inventory optimization, supplier performance, and operational efficiency. Built KPI dashboards and automated recurring reporting to improve operational visibility and reduce manual reporting effort.
Education
Degrees, certifications, and relevant coursework
AI First
Product Management, Product Management
AI First product management program (2026).
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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