About The Role
The role sits at the intersection of revenue systems, data, and business process: owning the pipelines, dashboards, and analyses that make forecasting, territory planning, and pipeline management trustworthy.
You will work with Salesforce, SQL, and BI tooling to turn messy go-to-market data into decisions — partnering with sales leadership, finance, and GTM engineering to keep the revenue engine running predictably.
Key Responsibilities
- Build and maintain revenue dashboards and reporting in Looker/Tableau and Salesforce, covering pipeline coverage, conversion rates, and forecast accuracy
- Own and improve Salesforce configuration and data hygiene: objects, validation rules, flows, and deduplication processes
- Run the weekly and monthly forecast process, reconciling rep, manager, and analytics submissions against actuals
- Partner with RevOps engineering and Finance on quota setting, territory design, and compensation modeling
- Analyze funnel performance and GTM experiments with SQL, delivering actionable recommendations on segments, motion, and pricing
- Administer and optimize the GTM tech stack (Salesforce, Outreach, Gong, LeanData, or similar), evaluating tools and managing renewals
- Document processes and train sales teams on system usage, ensuring high CRM adoption and data quality
What We Are Looking For
- 3-6 years in revenue operations, sales operations, or business analytics at a B2B SaaS company
- Strong SQL skills and hands-on experience with BI tools (Looker, Tableau, or similar)
- Deep Salesforce proficiency, including reports, dashboards, and basic admin (flows, validation rules)
- Experience supporting forecasting, quota, or territory processes end-to-end
- Comfortable translating business questions into data models and communicating findings to leadership
- Bachelor's degree in a quantitative field, business, or equivalent practical experience
- Bonus: experience with dbt or data warehouse modeling, Python for analysis, and GTM engineering work (Clari, Gong APIs, enrichment tooling)
