Zahid Khan

Lead cross-functional analytics team supporting Sales, Marketing, Customer Success, and Channel operations
Mentor 6+ analysts on SaaS metrics, RevOps best practices, and data-driven decision making
Partner with C-level executives on strategic planning and revenue forecasting initiatives
Architected enterprise-wide SaaS data warehouse, establishing single source of truth across all revenue functions
Built executive dashboards tracking $50M+ pipeline, renewals, expansions, and key SaaS KPIs (NRR, GRR, CAC, LTV)
Designed and implemented GTM segmentation models, customer hierarchies, and resource allocation frameworks
Optimized Sales & Marketing processes and developed lead recommendation engine identifying $62M potential net new revenue opportunity
Generated $2M in new revenue and enabled $7M in active pipeline through data-driven whitespace initiatives in year 2024/2025
Streamlined Customer Success data architecture for enhanced case prioritization and expansion targeting
Overhauled renewal processes, achieving measurable churn reduction across key customer segments
Improved forecast accuracy by 30% through integrated predictive models and automated reporting
Reduced sales planning cycle time by 40% via process automation and real-time visibility tools
Led marketing analytics initiatives measuring campaign ROI, lead funnel performance, and customer lifecycle insights
Developed Channel strategy framework including landscape definitions, partner tiering, and long-term planning models
Created Sales Recommendation Engine using predictive analytics to optimize territory and account assignments
Recipient of ABBYY's Extra Mile Award (2023) for outstanding cross-functional leadership and business impact

Lead cross-functional analytics team supporting Sales, Marketing, Customer Success, and Channel operations, Mentor 6+ analysts on SaaS metrics, RevOps best practices, and data-driven decision making, Partner with C-level executives on strategic planning and revenue forecasting initiatives, Architected enterprise-wide SaaS data warehouse, establishing single source of truth across all revenue functions, Built executive dashboards tracking $50M+ pipeline, renewals, expansions, and key SaaS KPIs (NRR, GRR, CAC, LTV), Designed and implemented GTM segmentation models, customer hierarchies, and resource allocation frameworks, Optimized Sales & Marketing processes and developed lead recommendation engine identifying $62M potential net new revenue opportunity, Generated $2M in new revenue and enabled $7M in active pipeline through data-driven whitespace initiatives in year 2024/2025, Streamlined Customer Success data architecture for enhanced case prioritization and expansion targeting, Overhauled renewal processes, achieving measurable churn reduction across key customer segments, Improved forecast accuracy by 30% through integrated predictive models and automated reporting, Reduced sales planning cycle time by 40% via process automation and real-time visibility tools, Led marketing analytics initiatives measuring campaign ROI, lead funnel performance, and customer lifecycle insights, Developed Channel strategy framework including landscape definitions, partner tiering, and long-term planning models, Created Sales Recommendation Engine using predictive analytics to optimize territory and account assignments

Architected comprehensive SaaS analytics platform in SAP HANA for $2B+ Collaboration business unit
Established tracking and reporting for LTV, CAC, renewals, churn, pricing pressure, and ARPU across global markets
Led data governance initiatives across Snowflake, Oracle, Teradata, and SAP HANA environments
Developed automated "Run The Business" dashboards used by 200+ sales leaders for forecasting and QBRs
Built global Sales Performance Visibility Tool monitoring seller achievement, sentiment, and territory coverage
Reduced manual reporting overhead by 60% through intelligent automation and self-service analytics
Implemented Partner Recommendation Engine using machine learning to identify high-growth potential partners
Created ROI models for Partner Enablement programs, optimizing $5M+ annual training investments
Delivered end-to-end BI solutions for WW Sales, Strategy, and Architecture teams across multiple business units
Awarded "Contributor of the Year" twice for exceptional performance and cross-functional impact

Architected comprehensive SaaS analytics platform in SAP HANA for $2B+ Collaboration business unit, Established tracking and reporting for LTV, CAC, renewals, churn, pricing pressure, and ARPU across global markets, Led data governance initiatives across Snowflake, Oracle, Teradata, and SAP HANA environments, Developed automated 'Run The Business' dashboards used by 200+ sales leaders for forecasting and QBRs, Built global Sales Performance Visibility Tool monitoring seller achievement, sentiment, and territory coverage, Reduced manual reporting overhead by 60% through intelligent automation and self-service analytics, Implemented Partner Recommendation Engine using machine learning to identify high-growth potential partners, Created ROI models for Partner Enablement programs, optimizing $5M+ annual training investments, Delivered end-to-end BI solutions for WW Sales, Strategy, and Architecture teams across multiple business units

Led enterprise reporting systems development and billing intelligence projects
Delivered internal consulting and training on data visualization and analytics tools
Managed database development and system architecture initiatives across telecom and financial services