Product Analytics Lead: Turn Usage into Growth

Sonar

Genf

Vor Ort

CHF 120.000 - 180.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Sonar is hiring for a data & insights professional to decode customer behaviors and transform product engagement into actionable intelligence. You will own the product-usage analytics lifecycle, perform hands-on data exploration, test hypotheses, and collaborate with Data and Analytics Engineers to model data effectively.

You will partner with Product, Engineering and Sales to drive GTM decisions, optimize activation and retention, and communicate insights clearly to stakeholders while

Qualifikationen

  • Deep product understanding and ability to translate usage data into decisions
  • Strong analytical track record influencing revenue, product, or GTM decisions
  • Comfort with AI tools and staying current with tooling evolution
  • Eagerness to grow skills and adopt new methods
  • Solid SQL: independently query, join, and explore data
  • Python proficiency for analysis, modeling, and automation
  • Statistical foundations: experiments, significance, regression, segmentation

Aufgaben

  • Understand product usage by collaborating with PMs and analyzing engagement, feature usage, and retention patterns
  • Connect usage to outcomes by linking product data with customer and sales data
  • Define usage-based signals and health indicators to drive activation and retention
  • Be proactive: surface findings and anticipate next questions
  • Run experiments and validate signals using sound statistical methods
  • Partner with Data & Analytics Engineers to model and warehouse product usage with CRM/sales data
  • Tell the story: clearly communicate insights and document caveats and decisions

Kenntnisse

Product understanding
Analytical track record
AI tooling awareness
Communication skills
Proactivity
Autonomy
Data modeling

Tools

SQL
Python
scikit-learn

Jobbeschreibung

Sonar is hiring for a data & insights professional to decode customer behaviors and transform product engagement into actionable intelligence. You will own the product-usage analytics lifecycle, perform hands-on data exploration, test hypotheses, and collaborate with Data and Analytics Engineers to model data effectively.

You will partner with Product, Engineering and Sales to drive GTM decisions, optimize activation and retention, and communicate insights clearly to stakeholders while

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