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Senior Product Analyst (Agentic Search)

Nebius· Agentic Search
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Hybrid (Israel)Full-timePosted 1w ago

About the role

Senior Product Analyst to drive product decisions with data for Tavily, helping developers and companies discover, adopt and derive value from Tavily with data-backed insights. High-ownership role partnering with Product, R&D and leadership to shape what is built next and why.

Responsibilities

  • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid.
  • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship.
  • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion.
  • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed.
  • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more.
  • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions.
  • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
  • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.

Qualifications

  • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role.
  • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization.
  • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them.
  • Comfort working with large, messy, event-level datasets.
  • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment.
  • Strong statistical foundations.
  • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
  • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
  • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
  • BSc in Statistics / Math / CS / Industrial Engineering or equivalent.

Skills

Required:Product analyticsPythonSQLdbtStatistics / modelingExperimentationCommunication

Benefits

  • 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
Last updated Oct 14, 2026. Interested? Apply on the company site.
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