Senior Business Analyst (Finance & Sales)

Tavily

New York (NY)

Hybride

USD 179 000 - 224 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health insurance
401(k) plan
Parental leave
Remote work reimbursement
Disability & life insurance

Résumé du poste

Tavily in New York is seeking a data-driven Business Analyst to partner with Finance and Sales, owning the company’s key metrics including ARR, bookings, and net revenue retention. You will turn data into decisions, building analyses that inform planning and go-to-market strategy.

This high-ownership role requires strong SQL and Python skills, SaaS experience, and the ability to communicate insights to leadership.

Qualifications

  • 5+ years as an Analyst with 2+ years in FP&A, Revenue or Sales operations.
  • 2+ years in a SaaS environment with ARR, bookings, NRR and CAC metrics.
  • Experience partnering with Finance and Sales and owning metric definitions.
  • Strong SQL and Python skills in production data environments.
  • Bachelor's degree in Economics/Finance/Statistics/Math or related field.
  • Familiarity with Snowflake/BigQuery, dbt, Looker/Tableau.

Responsabilités

  • Define and own core business metrics end-to-end and produce a single source of truth.
  • Collaborate on revenue recognition, forecasting, budgeting and investor reporting.
  • Analyze pipeline health, funnel conversion, quota attainment and territory performance.
  • Write production-grade SQL and Python to automate reporting at scale.
  • Translate insights into actionable recommendations for leadership.

Connaissances

SQL
Python
FP&A
Revenue Analytics
SaaS metrics
Data Modeling

Formation

BSc in Economics/Finance/Statistics/Math

Outils

Snowflake/BigQuery
dbt
Looker/Tableau

Description du poste

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:

  • 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.
  • Partner with Finance on revenue recognition, forecasting, budgeting, and board/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 before they ask.
  • Build and maintain revenue and pipeline models that connect 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: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement.

We expect you to have:

  • 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.
  • 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business.
  • Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on.
  • Strong SQL 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.
  • BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent.
  • Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau).

It will be an added bonus if you have:

  • Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company.
  • Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite).
  • Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design.
  • Statistical foundation for experimentation and causal inference.
  • Experience with Airflow or similar orchestration tools.
  • MBA or MSc in a quantitative field.

Key employee benefits in the US:

  • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
  • **401(k) plan:**Up to 4% company match with immediate vesting.
  • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
  • Remote work reimbursement: Up to $85/month for mobile and internet.
  • 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

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