Data Analyst (Customer Success)

Details

Nebius is building a full-stack AI cloud platform for the global AI economy. Tavily (part of Nebius) provides an API to power Retrieval-Augmented Generation (RAG) and real-time reasoning by connecting LLMs to high-quality web content. The Data Analyst will partner closely with Customer Success and GTM teams to own metrics across acquisition, activation, retention, product usage, expansion, and revenue, and deliver analyses that influence strategy and drive business decisions.

Responsibilities

• 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 Sales, Marketing, and Product to scope questions, run analyses, and translate findings into clear recommendations.
• Analyze 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 success is measured.

Requirements

• 5+ years of experience as a Data Analyst (or equivalent).
• 2+ years working in a SaaS company.
• Hands-on experience as a Customer Success / Sales / Marketing / Business / Product analyst with understanding of funnels, cohorts, conversion, retention, and key SaaS metrics.
• Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment.
• Strong SQL skills and comfort working with large, messy datasets.
• Statistical foundation for experimentation and causal inference; experience designing and evaluating A/B tests.
• Strong communication skills: able to turn analysis into a clear, compelling story for non-technical stakeholders.
• BSc in Statistics, Mathematics, Computer Science, or equivalent.
• Familiarity with modern data tooling: Snowflake or BigQuery, dbt, Airflow, and BI tools such as Omni, Looker, or Tableau.
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders.

Nice to Have

• A track record of building your own projects (GitHub profile, portfolio, side projects).
• Experience at an API-first, developer-focused, or PLG (product-led growth) company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Exposure to machine learning or experience working alongside data science teams.
• MSc in Statistics, Mathematics, Computer Science, or equivalent.

Compensation

• Base compensation range: $109,500 — $136,800 USD (actual compensation determined by experience, skills, qualifications, hiring level, and geographic location).

Benefits (key US benefits listed)

• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to 4% company match and 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.
• Company-paid short-term, long-term, and life insurance coverage.
• Competitive compensation, career growth, flexibility, collaborative culture, and opportunity to work on AI projects.

Other

• Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.