Senior Data Analyst - Enterprise GTM

About the role

As a Senior Data Analyst within the Enterprise GTM organization, you will partner directly with RevOps and global sales leadership to shape growth strategy through data‑driven insights. You will own the analytical backbone that guides the enterprise funnel from pipeline generation to expansion revenue.

Key responsibilities

• Collaborate with Revenue Operations and Sales leaders to define success metrics and surface growth opportunities across the enterprise bow‑tie funnel.
• Build and refine models for customer segmentation, lead/account scoring, and revenue forecasting.
• Ensure data trustworthiness by enriching context, adding metadata, and using AI coding tools to fix instrumentation and quality issues.
• Own KPI definitions and performance reporting across Sales, Marketing, and Finance, driving the narrative in monthly, quarterly, and annual forums.
• Create scalable, self‑serve measurement infrastructure so GTM teams can monitor performance independently.
• Maintain analytical rigor, push back on inaccurate pipeline numbers, and prioritize simple, effective analysis over unnecessary complexity.

Required profile

• Senior‑level influence with a track record of impacting revenue outcomes at the leadership level.
• High agency and strong data storytelling abilities.
• Sharp analytical instincts and solid statistical judgment.
• Ability to work with imperfect data and still deliver defensible insights.

Required skills

• SQL
• Python (including notebook environments such as Hex)
• dbt on BigQuery
• BigQuery