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. - Competitive salaries, ranging from $109,500 - $172,000 OTE based on your experience. - Pay Transparency: 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. - Benefits & Perks: Competitive compensation, career growth and learning opportunities, flexibility and ownership, collaborative and innovative culture, opportunity to work on impactful AI projects, international environment and talented teams. Equal Opportunity Statement Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. 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. 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.