Data Analyst – Gtm & Customer Success

Legora Legora · Vertical AI · New York, NY · Engineering & Product

The company uses AI in its product, but this role is focused on analyzing usage and commercial data to drive adoption, identify expansion opportunities, and flag churn risk for Go-To-Market and Customer Success teams. The role involves building customer-facing reports and dashboards, enabling self-service analytics, and supporting commercial decisions. While the company is AI-native, the core responsibilities of this Data Analyst role are not directly building or shipping AI models, but rather using data to inform business strategy related to an AI product.

What you'd actually do

  1. Drive adoption and retention: analyse usage patterns across customer accounts to identify where adoption is strong, where it's stalling, and what actions move the needle. Give CS and GTM teams the intelligence they need to intervene at the right moment.
  2. Deliver insights to customers: build customer-facing usage reports and dashboards that help law firms understand the value they're getting from Legora, and support CSMs with ad hoc analyses for strategic customer conversations.
  3. Enable self-service analytics: build and maintain dashboards and reporting systems so that GTM, CS, and legal engineering can answer their own questions without waiting for a data request.
  4. Support commercial decisions: analyse pipeline, expansion, and churn data to help the revenue organisation understand what's working and where to focus.
  5. Partner on experiments and initiatives: work with CS and GTM leads to defining success metrics, measuring the impact of onboarding programmes, campaigns, and product rollouts.

Skills

Required

  • SQL
  • BI tools
  • commercial analytics
  • customer analytics
  • SaaS analytics
  • product usage data analysis
  • CRM data analysis
  • customer health metrics analysis
  • communication
  • collaboration

Nice to have

  • Python
  • dbt
  • Snowflake

What the JD emphasized

  • move faster, make smarter decisions, and deliver measurable value to our customers
  • turn complex usage and commercial data into clear, actionable recommendations
  • drive adoption
  • identify expansion opportunities
  • flag churn risk early
  • demonstrate the value Legora delivers
  • deeply embedded in our revenue organisation
  • working shoulder-to-shoulder with the people closest to customers
  • drive adoption and retention
  • identify where adoption is strong, where it's stalling, and what actions move the needle
  • Give CS and GTM teams the intelligence they need to intervene at the right moment
  • build customer-facing usage reports and dashboards
  • understand the value they're getting from Legora
  • support CSMs with ad hoc analyses for strategic customer conversations
  • Enable self-service analytics
  • answer their own questions without waiting for a data request
  • Support commercial decisions
  • understand what's working and where to focus
  • Partner on experiments and initiatives
  • defining success metrics
  • measuring the impact of onboarding programmes, campaigns, and product rollouts
  • Proficient in SQL
  • experienced with modern BI tools
  • familiarity with Python, dbt, and cloud data warehouses like Snowflake is a plus
  • Comfortable working with product usage data, CRM data, and customer health metrics
  • connect them into a coherent picture
  • A natural communicator who can present findings clearly to non-technical audiences, including customers
  • Collaborative by default
  • enjoy being embedded in commercial teams
  • understand that your value comes from the decisions your work influences, not just the analyses you produce
  • enjoys being in the office 5 days a week
  • in-person collaboration
  • Gets stuff done
  • building a $10bn company isn’t always glamorous and takes hard work and long hours
  • Strives in a fast-paced environment where the answers aren’t always clear and processes are few