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Tavily

Search API for LLMs and RAG

Senior Business Analyst - Finance & Sales

Data AnalysisConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$179k - $224kIn-person

About the Job

Requirements

  • At least 5 years of experience as an analyst, including at least 2 years as a business analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent.
  • At least 2 years of experience working at a SaaS company and understanding ARR, bookings, NRR, CAC, payback, pipeline coverage, and other SaaS business metrics.
  • Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions relied on by a company.
  • Strong SQL skills and comfort working with large, messy datasets across different sources.
  • Hands-on experience using Python for data analysis and data modeling in a production environment.
  • A Bachelor of Science in Economics, Finance, Statistics, Mathematics, Industrial Engineering, or equivalent.

Responsibilities

  • Own the company's core business metrics end-to-end by defining them, building a single source of truth, and ensuring Finance, Sales, and leadership use consistent numbers.
  • Partner with Finance on revenue recognition, forecasting, budgeting, and board and investor reporting; turn usage and billing data into reliable financial views.
  • Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics.
  • Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders.
  • Build and maintain revenue and pipeline models connecting product usage and billing data.
  • Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale.
  • Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership.
  • Support strategic initiatives such as pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, measuring impact before and after changes.

Desired Qualifications

  • Experience at an API-first, developer-focused, usage-based, or product-led growth company.
  • Experience with usage-based billing and revenue recognition tools such as Stripe, Metronome, or NetSuite.
  • Experience with CRM analytics using HubSpot or Salesforce, and with sales compensation or quota design.
  • A statistical foundation for experimentation and causal inference.
  • Experience with Airflow or similar orchestration tools.
  • An MBA or Master of Science in a quantitative field.
  • Familiarity with modern data tools such as Snowflake or BigQuery, dbt, and business intelligence tools such as Omni, Looker, or Tableau.

About the Company

Tavily

Search API for LLMs and RAG

Tavily provides a search API for large language models (LLMs) and Retrieval-Augmented Generation (RAG) to access up-to-date, verifiable information. Its API returns optimized, contextually relevant results from multiple online sources, helping AI agents research and answer questions while reducing hallucinations, and it scales via a usage-based pricing model with a free tier. It stands out by pairing a commercial API with an open-source project (GPT Researcher) to showcase capabilities and build adoption, while prioritizing real-time data over general web search. Its goal is to become a core tool for AI development by delivering reliable external knowledge and scalable, verifiable data access for developers building AI agents and applications.

Company size
51-200
Company stage
Acquired
Total funding
$45M
Headquarters
New York City, New York
Founded
2023

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