Senior Data Analyst

Role Overview

Join NetBrain’s Revenue Strategy, Data & Analytics team as a Senior Data Analyst. You will be the “revenue truth” partner who converts product telemetry and pipeline data into the company’s annual operating plan, forecasts, and recurring GTM operating rhythm.

Responsibilities

• Own the Annual Operating Plan (AOP) process, including:
  • quota setting, capacity modeling, territory carve, and segment-level planning
  • translating strategic goals into a bottom-up GTM plan with clear assumptions
• Run weekly forecasting using commit / best / worst, synthesizing:
  • Gong deal signals
  • pipeline movement
  • coverage ratios
• Build and maintain predictive models for:
  • propensity-to-close
  • churn and expansion
  • using product usage telemetry + firmographic data to surface risks/opportunities early
• Architect and maintain the revenue data warehouse and unified GTM data layer, including:
  • identity resolution across product, marketing, CRM, and support data sources
• Develop and continuously refine ICP / ideal-customer profiles, scoring on:
  • network complexity
  • device count
  • change velocity
  • own TAM sizing and segment definitions
• Leverage AI to automate analytics and streamline GTM workflows to improve seller productivity and reduce time-to-insight
• Partner with Sales, Marketing, Finance, and Customer Success to deliver self-service reporting and drive data-driven decision-making
• Define and document key revenue metrics and their calculation logic as the single source of truth

Requirements

• 6–8 years experience in revenue analytics, sales/marketing data science, or similar at a B2B SaaS company
• Ownership of AOP/quota-setting processes, including hands-on capacity modeling and territory design
• Expert-level SQL for complex analytics (CTEs, window functions, query optimization) and data warehouse experience (Snowflake, BigQuery, or Redshift)
• Strong Salesforce CRM expertise (SOQL, object relationships, custom reporting, data quality management)
• Forecasting experience using commit/best/worst; familiarity with Gong-style AI-assisted signal tools
• Predictive modeling experience using Python or R (propensity-to-close, churn, expansion)
• GTM segmentation knowledge (ICP scoring, TAM sizing, firmographic/technographic modeling)
• Ability to translate analysis into clear executive-facing narratives and recommendations

Nice to Haves

• Experience integrating product usage/telemetry into revenue models
• Familiarity with identity resolution across marketing automation, CRM, product, and support data
• Prior experience applying AI/ML to GTM workflows (automated insights, NLP on call transcripts, workflow automation)