Data Analyst

NetBrain Technologies Inc.

Senior Data Analyst responsible for revenue analytics at NetBrain, transforming data into actionable insights. Collaborating with teams to optimize GTM strategies and forecasts.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $155,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQL

About the role

Key responsibilities & impact

Own the annual operating plan (AOP) process - quota setting, capacity modeling, territory carve, and segment-level planning - translating strategic goals into a bottom-up GTM plan with clear assumptions.
Run the weekly forecast using commit/best/worst methodology, synthesizing Gong deal signals, pipeline movement, and coverage ratios into an accurate, defensible call of the number.
Build and maintain propensity-to-close, churn, and expansion models fed by product usage telemetry and firmographic data, surfacing risk and opportunity signals before they appear in lagging CRM metrics.
Architect and maintain the revenue data warehouse, owning identity resolution across product, marketing, CRM, and support data sources to create a unified GTM data layer.
Develop and continuously refine ideal-customer profiles scored on network complexity, device count, and change velocity; own TAM sizing and segment definitions.
Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows - amplifying seller productivity and reducing time-to-insight across the revenue organization.
Partner with Sales, Marketing, Finance, and Customer Success leadership to build self-service reporting and ensure data-driven decision-making across the GTM organization.
Define, document, and maintain key revenue metrics and their calculation logic as the single source of truth for the business.

Requirements

What you’ll need

6-8 years of experience in revenue analytics, sales/marketing data science, or a similar function at a B2B software or SaaS company.
Demonstrated ownership of an annual operating plan or quota-setting process, with hands-on experience in capacity modeling and territory design.
Expert-level SQL across complex analytical workloads (window functions, CTEs, query optimization) and data warehouse experience (Snowflake, BigQuery, or Redshift).
Deep Salesforce CRM proficiency - SOQL, object relationships, custom reporting, and data quality management.
Hands-on forecasting experience using commit/best/worst methodology; familiarity with AI-assisted signal tools such as Gong.
Experience building predictive models (propensity-to-close, churn, expansion) using Python or R.
Strong working knowledge of GTM segmentation - ICP scoring, TAM sizing, and firmographic/technographic modeling.
Proven ability to translate complex analytical findings into clear executive-facing narratives and recommendations.
Experience integrating product usage/telemetry data into revenue models is a strong plus.
Familiarity with identity resolution across disparate GTM data sources (marketing automation, CRM, product, support) preferred.
Prior work applying AI/ML to GTM workflows - automated insight generation, NLP on call transcripts, or workflow automation - preferred.
Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

Benefits

Comp & perks

401k and medical/dental coverage
Comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Revenue AnalyticsPredictive ModelingSQLSalesforce CRMCapacity ModelingTerritory DesignData Warehouse ExperienceAI/ML ApplicationPythonR

Soft Skills

Data-Driven Decision-MakingExecutive Communication