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15 часов назад

Data Analyst (SaaS)

48 000 - 58 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Analyst (SaaS): Transforming data into actionable decisions for a nonprofit management platform with an accent on building a scalable data stack and empowering business teams. Focus on driving operational intelligence through advanced SQL, BI tooling, and data modeling to optimize product and business KPIs.

Location: Hybrid (Paris or Marseille, France)

Salary: €48,000–€58,000

Company

hirify.global is a leading French scale-up transforming nonprofit management, now backed by team.blue, and focused on scaling its platform across Europe to support social impact organizations.

What you will do

  • Empower business teams with trusted, self-serve data and operational intelligence to accelerate execution.
  • Embed analytics into the client product experience to transform data into measurable customer value.
  • Build and maintain a reliable, high-performance data stack using BigQuery and dbt.
  • Reframe vague business questions into clear recommendations and actionable insights.
  • Collaborate cross-functionally with Business, Tech, and Product teams.
  • Utilize AI tools to accelerate data modeling, SQL writing, and workflow efficiency.

Requirements

  • 3-4 years of experience as a Data Analyst, preferably in a product-led startup or scale-up.
  • Advanced SQL proficiency (window functions, query optimization, complex joins) is a mandatory requirement.
  • Practical, hands-on experience with BigQuery and at least one BI tool (Metabase, Looker, Tableau, or Power BI).
  • Strong understanding of business KPIs such as MRR, churn, activation, LTV, and conversion funnels.
  • Experience with data modeling and structuring maintainable data architectures.
  • Analytical autonomy: ability to reframe business challenges and deliver recommendations independently.

Nice to have

  • Experience with dbt for data transformation.
  • Familiarity with ETL/Reverse ETL pipeline concepts.
  • Proficiency in Python for automation and advanced analysis.

Culture & Benefits

  • High-impact role in a growing scale-up with a strong social mission.
  • Strong culture based on values: Simplicity, Excellence, and Benevolence.
  • Continuous learning environment with peer coaching and training opportunities.
  • Collaborative hybrid work model with offices in Paris and Marseille.

Hiring process

  • Initial 1-hour screening with HR and Head of Product.
  • Technical evaluation: 2-hour home use case followed by a deep-dive interview.
  • Business and culture fit interview focused on strategic mindset.
  • Team meet-up with the P&E department.
  • Final reference check and logistics discussion.

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