Senior Gtm Data Analyst

Intercom Intercom · Enterprise · Chicago, IL · Revenue Operations

This role is for a Senior GTM Data Analyst at Intercom, an AI Customer Service company. The analyst will partner with the Mindshare function (brand marketing, executive programs) to measure and analyze top-of-funnel initiatives, brand campaign effectiveness, executive program impact, and audience reach. The role involves designing and analyzing experiments to understand what drives awareness and engagement, and translating analytical findings into actionable insights for marketing and GTM leadership. While the company heavily features AI, this role focuses on analyzing the GTM strategy and marketing effectiveness, not directly building or shipping AI models.

What you'd actually do

  1. Own reporting and analysis for upper funnel programs — measuring reach, awareness, engagement, and early-stage interest across brand marketing, content, and executive outreach initiatives.
  2. Develop frameworks to assess brand campaign effectiveness — tracking how brand investments translate into audience reach, mindshare, and downstream consideration.
  3. Measure the impact of executive dinners, outreach programs, and high-touch engagement — understanding which accounts are being reached, how they engage, and what signals emerge.
  4. Design and analyze experiments across Mindshare programs — helping the team test messaging, channels, formats, and targeting to learn what drives awareness and engagement most effectively.
  5. Analyze who Intercom is reaching across Mindshare initiatives — segmenting by ICP, account tier, persona, and geography to ensure programs connect with the right buyers.

Skills

Required

  • 5–8 years of experience in analytics, marketing analytics, brand analytics, or a related field
  • Strong understanding of top-of-funnel and brand metrics — awareness, reach, engagement, consideration, and audience composition
  • Experience designing and analyzing experiments (A/B tests, holdout groups, incrementality measurement)
  • Strong SQL skills
  • Comfort working with qualitative and quantitative data
  • Proven ability to partner with marketing and executive stakeholders, framing ambiguous questions into structured analyses
  • Clear communication skills — able to translate analytical findings into narratives that inform creative and strategic decision

Nice to have

  • experience with data modeling tools (e.g., dbt) is a plus
  • Experience with BI and visualization tools (e.g., Tableau, Looker, Streamlit)

What the JD emphasized

  • 5–8 years of experience in analytics, marketing analytics, brand analytics, or a related field
  • Strong understanding of top-of-funnel and brand metrics — awareness, reach, engagement, consideration, and audience composition
  • Experience designing and analyzing experiments (A/B tests, holdout groups, incrementality measurement)
  • Strong SQL skills