[Hiring] Staff GTM Analyst @Close

Role Description

Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go?

These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Staff GTM Analyst. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data.

The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable.

Qualifications

• An experienced analyst with roughly 8 years of hands-on, highly technical analytics experience.
• A bridge between the technical and the business, able to build a model in dbt and work directly in Snowflake.
• Fluent in the quirks of GTM data, including attribution, channel definitions, UTMs, bots, and broken tracking.
• Pushing the boundary of what AI means for analytics, focusing on building semantic layers and context.
• A trusted cross-functional leader, able to immerse in the context of teammates' needs.
• Fiercely independent and accountable, welcoming vague asks and driving work through analysis.
• More concerned with impact than output, prioritizing questions that materially improve key metrics.

Requirements

• Define metrics and model the funnel from first touch through paid conversion.
• Reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and ad platforms.
• Explain data insights, addressing questions about trial and conversion rates.
• Help decide on future actions based on data forecasts and tradeoffs.
• Own outcomes, bringing in the right people to achieve data-driven results.
• Define the next era of Data at Close, moving from reactive requests to proactive insights.

Benefits

• Compensation: Competitive pay plus an organization-wide goal-based bonus.
• Paid Time Off: ~5 weeks of PTO to start, plus a 1-week all-company Winter Holiday Break and paid US holidays. Earn 2 extra days for every year with Close.
• 80% Work Option: Choose between a standard 5-day week or a 4-day week at 80% pay.
• Parental Leave: Paid leave for primary and secondary caregivers.
• Sabbatical: A 1-month paid sabbatical every 5 years.
• Healthcare (US residents): Two medical plans with Close covering 99% of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability.
• 401k (US residents): We match your contributions up to 6%, vested immediately.