Nebius

Nebius

Data Analyst (Customer Success)

New York, United States

No sponsorship$110k-$137kDetected 21 days ago
PythonFull-Stack DevelopmentGitSQLBigQuerySnowflakeCloud PlatformsMachine LearningAirflowdbtData AnalysisData ScienceData VisualizationLLMsRAGStatisticsA/B TestingCustomer SuccessResearchCommunication

About the role

  • 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.
  • We're looking for a Data Analyst to partner closely with our Customer Success and GTM teams and turn data into decisions.

Responsibilities

  • Own GTM analytics end-to-end: define, instrument, and report on the funnel - from signup and activation through conversion, expansion, and churn.
  • Partner with other teams like Sales, Marketing and Product to scope questions, run analyses, and translate findings into clear recommendations.
  • Design and evaluate experiments (A/B tests) and measure the impact of GTM initiatives.
  • 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.

Requirements

  • 5+ years of experience as a Data Analyst (or equivalent).
  • 2+ years working in a SaaS company.
  • Strong hands-on experience using Python for data analysis, experimentation, and data modeling in a production environment.
  • Familiarity with modern data tooling (Snowflake/BigQuery, dbt, Airflow, BI tools like Omni/Looker/Tableau).

Nice to have

  • 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
  • Pay Transparency
  • Base Compensation Range

Skills

  • Nebius is leading a new era in cloud infrastructure for the global AI economy.
  • Built by engineers, for engineers.
  • About Tavily

Compensation

  • 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
  • Pay Transparency

Benefits

  • Career growth and learning opportunities
  • Opportunity to work on impactful AI projects

Company info

  • What We're Looking For (Must-Haves)
  • We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment.

Equal opportunity

  • Nebius is an equal opportunity employer.
  • 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.
  • If you need accommodations during the application process, please let us know.
  • We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Visa & Work Authorization

  • 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.

This listing is sourced directly from Nebius's careers page and normalized into a canonical job model.