Data Analyst

Role Description

We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions. You'll own the metrics that matter — acquisition, activation, retention, product usage, expansion, and revenue — and uncover the drivers behind them. You'll build the analyses that shape strategy, identify what influences customer success and growth, and help answer the critical questions: what's working, what isn't, and why.

This is a high-ownership, hands-on role for someone who loves digging into data, writes their own code, and ships analysis that changes what the business does next.

What You'll Do

• Own GTM analytics end-to-end: define, instrument, and report on the funnel — from signup and activation through conversion, expansion, and churn.
• Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders.
• Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations.
• Dig into product usage and revenue data to surface insights on user behavior, cohorts, and monetization.
• Write production-quality SQL and Python to model data, automate pipelines, and run analyses at scale.
• Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives.
• Define metrics and a shared source of truth; bring rigor and clarity to how we measure success.

Qualifications

• 5+ years of experience as a Data Analyst (or equivalent).
• 2+ years working in a SaaS company.
• Hands-on experience as a CS / Sales / Marketing / Business / Product analyst — you understand funnels, cohorts, conversion, retention, and the metrics that drive a SaaS business.
• Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment.
• Strong SQL and comfort working with large, messy datasets.
• Strong communication: you can turn analysis into a clear, compelling story for non-technical stakeholders.
• Statistical foundation for experimentation and causal inference.
• BSc in Statistics/Math/CS or equivalent.
• Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau).
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders.

Requirements

• A track record of building your own projects - a GitHub profile, portfolio, side projects, or other evidence that you build things independently.
• Experience at an API-first, developer-focused, or PLG (product-led growth) company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Exposure to ML or working alongside data science teams.
• MSc in Statistic/Math/CS or equivalent.

Benefits

• 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: $109,500 — $136,800 USD