Description
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.
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).
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