Revenue & Growth Analytics Lead (SaaS)

Tavily; New York (NY); Hybrid; USD 179,000 - 224,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Remote work reimbursement

Disability & life insurance

Job summary

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.

Responsibilities

• 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.

Skills

SQL

Python

FP&A

Revenue Analytics

SaaS metrics

Data Modeling

Education

BSc in Economics/Finance/Statistics/Math

Tools

Snowflake/BigQuery

dbt

Looker/Tableau

Job description

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.