What are the responsibilities and job description for the Business Operations Analyst position at Ghost?
Founding Strategy Analytics | AI Marketplace | Series B | $65M | SF
Ghost is partnering with a high-profile AI startup redefining how companies hire — tackling one of the largest, most fragmented markets in the world.
They’ve built the first end-to-end AI recruiting marketplace, combining human recruiters with AI agents to help companies hire faster and more accurately.
Already trusted by companies like xAI, Palantir, and Shopify, the business 8×’d revenue last year and has raised $65M from top-tier investors and iconic founders.
Now, they’re hiring their first dedicated analytics hire for the revenue-generating team.
Why This Role Is Different
This isn’t a “join a big data team” role!
- You’ll own analytics from day one — dashboards, insights, and decision-making
- Your work will directly shape how the delivery org operates
- You’ll work side-by-side with leadership, seeing your insights go live within days
- Clear path into Marketplace BizOps, helping define how a two-sided marketplace scales
If you want ownership, speed, and real impact — this is it.
What You’ll Do
Phase 1: Delivery Analytics
- Build dashboards tracking performance, funnel health, and delivery metrics
- Run ad hoc analysis for leadership — what’s working, what’s not, and why
- Identify patterns across roles, recruiter supply, and marketplace dynamics
- Arm client-facing teams with insights that drive outcomes
Phase 2: Marketplace BizOps
- Analyze marketplace performance (conversion, liquidity, cohort behavior)
- Define and evolve core business metrics
- Improve data models, instrumentation, and reporting
- Help run operating cadence (weekly reviews, tracking, accountability)
- Design scalable processes across Sales, Product, and Ops
What They’re Looking For
- 2–5 years experience across consulting (MBB) (or top tier investment banking) hands-on analytics at a startup/marketplace
- Strong SQL Excel/Sheets skills
- Experience building dashboards used for real operational decisions
- Familiarity with BI tools (Metabase, Looker, Tableau)
- Comfortable using AI tools (ChatGPT, Claude) in your workflow
- Sharp problem solver: from ambiguity → structure → insight
- High agency, low ego, thrives in fast-moving environments
Stack
SQL · Metabase · Excel/Sheets · Looker/Tableau · AI tools (Claude, ChatGPT)
If you’re early in your career but want to operate like an owner, work directly with leadership, and build the analytics backbone of a category-defining company — what are you waiting for? 👻
Salary : $165,000 - $200,000