Business storytelling with data (turning analysis into clear decisions and actions)
Stakeholder management and alignment across Sales, Marketing, Customer Success, and Finance
Planning and forecasting (targets, pipeline coverage, capacity/headcount models)
Funnel and revenue analytics (conversion rates, cohort trends, segmentation, retention/renewal metrics)
Data quality and metric governance (shared definitions, source-of-truth discipline)
Operational process design (lead-to-cash handoffs, stage definitions, routing rules, renewal workflows)
Analytics tooling and data fundamentals (BI dashboards, SQL basics, data modeling concepts)
Revenue strategy understanding (pricing/packaging context, sales motions, customer lifecycle)
Change management (rolling out new processes and getting adoption)
People leadership (coaching analysts, setting priorities, building operating cadence)