Product Analytics Scientist — AI-Driven Product Growth

Sonarsource

Genf

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Relocation assistance

Zusammenfassung

SonarSource is hiring into the Data & Insights team in Geneva. You will own the product-usage analytics lifecycle, from data exploration to hypothesis testing, collaborating with Data and Analytics Engineers to model data and influence GTM decisions.

You will translate product usage into strategic insights and drive activation and retention across multiple teams. The role emphasizes proactive analysis, stakeholder storytelling, and deep product understanding, with a focus on actionable

Qualifikationen

  • Deep product understanding and ability to translate usage data into decisions.
  • Strong analytical track record influencing revenue, product, or GTM decisions.
  • Familiarity with AI tools and applying them to work.
  • Willingness to grow and learn new tools.
  • Solid SQL proficiency.
  • Python for analysis, modeling, and automation.
  • Statistical foundation: experimentation, regression, forecasting.
  • Understanding how product usage connects to revenue: funnels, cohorts, retention.

Aufgaben

  • Understand product usage with PMs to analyze engagement, feature usage, and retention.
  • Connect usage data to outcomes to reveal expansion, churn risk, and account health.
  • Define usage-based signals and health indicators.
  • Be proactive: explore data and surface findings others did not ask for.
  • Run experiments and validate using sound statistical methods.
  • Partner with Data Engineers to warehouse and model data.
  • Tell the story and document context for handoffs.

Kenntnisse

Deep product understanding
Analytical mindset
SQL
Python for analysis
Statistics & experimentation
Communication with stakeholders
Proactivity
Cross-functional collaboration

Jobbeschreibung

SonarSource is hiring into the Data & Insights team in Geneva. You will own the product-usage analytics lifecycle, from data exploration to hypothesis testing, collaborating with Data and Analytics Engineers to model data and influence GTM decisions.

You will translate product usage into strategic insights and drive activation and retention across multiple teams. The role emphasizes proactive analysis, stakeholder storytelling, and deep product understanding, with a focus on actionable

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