Data Analyst SaaS (Fully Remote)

Partner Company

United States

Remote

USD 56,000 - 78,000

Full time

2 days ago
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Benefits offered by this job

Company-wide seminars
Professional development
Modern data infrastructure

Job summary

Partner Company is a growing, fully distributed international team managing several global digital products and subscription-based SaaS solutions.

We are seeking a Data Analyst with 3-5 years of experience to turn complex data into actionable insights across the customer journey, from acquisition to retention, using strong SQL and statistical foundations. Fluency in French and B2+ English is required; 100% remote across Europe with flexible hours.

Qualifications

  • 3-5 years of experience as a Data Analyst or similar role.
  • Strong SQL and statistical foundations.
  • Fluency in French and B2+ English.
  • Experience with SaaS metrics such as CAC, LTV, ARPA, and retention.

Responsibilities

  • Transform complex data into actionable insights for multiple subscription-based SaaS products.
  • Analyze the full customer journey from acquisition and engagement to payments, revenue, and retention.

Skills

SQL
Statistical methods
SaaS metrics

Job description

  • Transform complex data into actionable insights for multiple subscription-based SaaS products.
  • Analyze the full customer journey, from acquisition and engagement to payments, revenue, and retention.

Requirements:

  • 3-5 years of experience as a Data Analyst or similar, with strong SQL and statistical foundations.
  • Deep understanding of SaaS metrics like CAC, LTV, ARPA, and retention.
  • Fluency in French and B2+ English.
  • 100% remote across Europe with flexible working hours.
  • Company-wide seminars, professional development, and modern data infrastructure.
Partner Company

The company is a growing, fully distributed international team managing several global digital products and subscription-based SaaS solutions. Their culture is innovative, performance-oriented, and built around trust, flexibility, autonomy, and continuous learning.

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