About this role
About Tavily
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent, but informed.
The role
We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next.
Your responsibilities will include:
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Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers.
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Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views.
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Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics.
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Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask.
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Build and maintain revenue and pipeline models that connect product usage and billing data.
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Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale.
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Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership.
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Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement.
We expect you to have:
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5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent.
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2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business.
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Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on.
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Strong SQL and comfort working with large, messy datasets across different sources.
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Hands-on experience using Python for data analysis and data modeling in a production environment.
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BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent.
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Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau).
It will be an added bonus if you have:
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Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company.
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Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite).
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Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design.
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Statistical foundation for experimentation and causal inference.
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Experience with Airflow or similar orchestration tools.
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MBA or MSc in a quantitative field.
Key employee benefits in the US:
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Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
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401(k) plan: Up to 4% company match with immediate vesting.
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Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
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Remote work reimbursement: Up to $85/month for mobile and internet.
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Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,000—$224,000 USD