GTM Data Analyst
The GTM Data Analyst at Confidential Client is responsible for end-to-end go-to-market analytics including pipeline and conversion reporting, capacity modeling, and commission calculations. This role requires strong technical skills to build, maintain, and present data models and analyses that directly influence revenue decisions, working closely with revenue leadership and RevOps. The position offers significant ownership of analytics processes, combining technical expertise with strategic business impact in a hybrid work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Restaurants.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Role Overview
Confidential Client (via Careertakes) is seeking a GTM Data Analyst to own go-to-market analytics for revenue — pipeline and conversion reporting, coverage & capacity modeling, commission calculations, and analysis that informs where to invest headcount and budget. This is a hands-on role: you will frame questions, write SQL, build models, put work into source control, and present results directly to revenue leadership.
What You’ll Do
- Build the analysis that drives weekly pipeline reviews, forecast reviews, monthly business reviews, and executive sales reporting.
- Own stage-to-stage conversion reporting: conversion rates, cycle times, and win rates by channel, team, segment, and product.
- Build assumption-driven models for strategic initiatives (new segments, pricing changes, channel tests) with parameterized assumptions.
- Run and extend coverage and capacity models: translate revenue targets into pipeline and headcount, surface gaps early for leadership action.
- Contribute to pipeline-driven bottoms-up forecasting and reconcile it with sales commitments and top-down models.
- Investigate cohort- and segment-level anomalies (e.g., dips in conversion or shifts in cycle time) and bring findings to leadership proactively.
- Build and maintain the GTM layer of the transformation project (dbt or equivalent): funnel and conversion models, pipeline history, rep and territory attribution.
- Ship work through source control — branch, pull request, review, tests, documentation — and participate in code reviews.
- Reconcile Salesforce, subscription billing, and product usage data and explain discrepancies clearly.
- Help define GTM metrics in the semantic layer so self-service queries return governed numbers.
- Use AI tools (e.g., Claude) for drafting queries and scaffolding models — QA AI output thoroughly and explain results, not just repeat them.
What We're Looking For
- Demonstrated professional experience doing analytical work where you defined the problem, not only executed a spec.
- Strong SQL skills: comfortable with CTEs, joins, and window functions; able to debug numbers when results look off.
- Working knowledge of source control (branches, commits, pull requests).
- Curiosity about data lineage and where numbers originate; ability to reason about data landing times and transformations.
- Strong spreadsheet modeling skills — create multi-tab models executives can follow and extend.
- A commitment to accuracy and the ability to state confidently when a number is wrong, even under deadline pressure.
- Familiarity with funnel and SaaS metrics: conversion rate, pipeline coverage, cycle time, retention, CAC, payback (or ability to learn quickly).
Nice to Haves
- dbt experience (project structure, tests, macros) or equivalent tested, version-controlled transformation pipelines.
- Experience with Trino/Athena or Snowflake.
- Python for analysis tasks SQL can't handle.
- Experience using Salesforce as a data source, and understanding common data pitfalls.
- Subscription billing experience (Zuora or similar), quota setting, territory design, or sales compensation modeling.
- Experience with semantic/metrics layers (MetricFlow, Cube, etc.).
- BI development experience in Preset/Superset, Looker, Tableau, or comparable tools.
Compensation & Benefits
- Anticipated base salary range: $90,000–$110,000 annually (placement in range depends on experience, location, and internal equity).
- Eligible for bonus opportunities and a comprehensive benefits package.
- Typical benefits (may vary by client): unlimited paid time off, medical/dental/vision, HSA with employer match (where applicable), commuter benefits, life & disability insurance, 401(k) with match, equity opportunities, paid parental leave, and wellness programs.
Location & Work Arrangement
- Location: Virginia (VA). Specific work arrangement (remote, hybrid, or on-site) will be set by the Confidential Client and may vary by role.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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