Design and deploy a repeatable expansion scoring framework powered by product usage velocity and growth curves
Build a usage-driven growth forecasting model that projects consumption acceleration
Write complex SQL queries across Salesforce, product usage tables, Zendesk, and Gong data
Create reusable data views powering Tableau dashboards
Operationalize insights into action with automation routines using Python
Collaborate with cross-functional teams to implement new intelligence systems

6–10+ years in Customer Success Analytics, Revenue Analytics, or Growth Intelligence roles
Strong experience working across post-sales data (usage, support, intent, CRM)
Hands-on Salesforce experience, including workflows and routing logic
Experience building forecasting models and customer segmentation frameworks
Familiarity with tools such as Zendesk, Gong, ZoomInfo, G2, Tableau, or similar
Strong analytical skills with the ability to translate complex data into actionable insights
Comfortable operating independently in a fast-moving, ambiguous environment
Highly execution-oriented — you build, test, and ship
Systems thinker who connects data, signals, and actions
Pragmatic and outcome-focused
Strong cross-functional collaborator
Disciplined about documentation and clean handoffs.

Customer Success Operations Analyst

Key skills