Job Details

We're looking for a BizOps Analyst at a Series-B HRTech startup to embed with the delivery team and arm them with the data and insights they need to perform at a high level. This is a data-first role. You'll spend most of your time in SQL and dashboards, translating raw data into clear insights that drive decisions. If you've thought about strategic business problems (e.g., in consulting) and then gotten your hands dirty in a fast-moving startup, this is the role for you.

What You'll Do — Phase 1: Delivery Analytics

• Build and maintain Metabase dashboards that track SPL team performance, funnel health, and delivery metrics
• Own ad hoc analysis for delivery leadership and team — answering questions about what's working, what's not, and why
• Dig into data trends across the book of business: patterns in role success rates, impact of boosts and signing bonuses, recruiter supply dynamics
• Arm SPLs with data-backed insights they can use in their day-to-day — during intake calls, business reviews, and client conversations
• Support the Delivery function's understanding of metrics, inputs/leading indicators, and follow-up tracking
• Leverage AI tools (Claude, internal tooling) to accelerate analysis and automate workflows for the Delivery team

What You'll Do — Phase 2: Marketplace BizOps

• Write SQL to analyze marketplace performance: funnel conversion, supply-demand imbalances, cohort behavior, liquidity
• Help define, track, and evolve core marketplace metrics across the business
• Partner with data and engineering to improve data models, instrumentation, and metric definitions
• Support the operating cadence: weekly business reviews, functional reviews, and the follow-up systems that keep teams accountable
• Design and enforce processes for critical functions — scalable systems, not one-off fixes
• Work cross-functionally with Sales, Product, and Ops to unblock issues and drive initiatives
• Leverage AI tools (Claude, internal tooling) to accelerate analysis and automate workflows

What We're Looking For

• 2–4 years of experience, ideally combining structured problem-solving (consulting or similar) with hands-on analytics at a marketplace
• Advanced SQL skills — you're comfortable writing queries against large, messy datasets
• Strong Excel/Sheets skills and comfort building models, pivot tables, and ad hoc analyses
• Experience using AI tools (Claude, ChatGPT, etc.) as part of your analytical workflow
• Sharp analytical thinking: able to go from ambiguous question ? structured approach ? clear recommendation
• Familiarity with BI tools like Metabase, Looker, or Tableau
• Thrives in a fast-paced, early-stage environment — comfortable with ambiguity and wearing multiple hats
• Low ego, intellectually curious, high agency — you don't wait for permission to go find the answer