Senior GTM Data Analyst
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 27, 2026.
Join LinkSquares, a leading provider of AI-powered contract lifecycle management solutions. As a Senior GTM Data Analyst, you will play a critical role in shaping our growth strategy by analyzing performance across the entire customer lifecycle and providing strategic recommendations. You will own the Revenue organization's KPI architecture, develop revenue planning models, and support executive and board reporting. This is an ideal role for a strategic thinker with a strong analytical background and experience in B2B SaaS.
Missions
- En tant qu'analyste senior des données GTM, vous serez responsable de la gestion de la couche analytique au sein de l'organisation des revenus, en fournissant des analyses approfondies sur la performance des ventes, le marketing et l'expérience client.
- Vous serez chargé de développer des modèles qui soutiennent la planification des revenus, la couverture du pipeline, la conversion, la productivité et d'autres analyses pertinentes.
- Vous collaborerez étroitement avec les équipes des opérations de revenus, des ventes, du marketing, de l'expérience client, du produit et des finances pour remettre en question les hypothèses, guider la priorisation de la feuille de route et agir en tant que conseiller de confiance sur les principales décisions GTM.
Profil recherché
- Collaborative Leadership: A track record of working across departments (Operations, Finance, Sales, CX, Product) to align on metric definitions, establish single-source-of-truth frameworks, and drive consensus- Analytical & Commercial Mindset: Experience building and governing enterprise KPI frameworks, pipeline/forecasting models, and executive/Board reporting with the ability to translate complex technical findings into actionable commercial insights
- Technical & Modeling Depth: Advanced proficiency in SQL, Snowflake, dbt, Fivetran, Looker (or comparable BI tool), Git, semantic-layer design, ETL/ELT concepts, and data quality monitoring, alongside strong familiarity with Salesforce and GTM data structures
- AI Integration: Demonstrated proficiency using AI tools to accelerate analytical workflows, documentation, automation, and insight generation, with a strong ability to critically evaluate and validate AI-generated outputs against governed data
- B2B SaaS Experience: 6+ years supporting a B2B SaaS or recurring-revenue business, with deep fluency in SaaS/GTM economics, unit economics, and full customer lifecycle analysis across Marketing, Sales, and Customer Experience
- Adaptability & Rigor: High standard of intellectual independence and curiosity, with the ability to bring clear recommendations-not just data-in a fast-paced, evolving environment