Bling

Bling

Data Analyst

  • CDI 
  • Paris

La tribu

Bling

Bling

  • FinTech / InsurTech

Le poste

Data Analyst

  • CDI 
  • Paris

Cette offre a été pourvue !

About

🤑 Simple and user-friendly, Bling is the first app of its kind to send its users 100€ instantly

⚡️ Instant cash advance

🛡 Overdraft shield

🇪🇺 Today, Bling operates in France and Spain, aiming to become the first European on-demand cash solution

🔥With over 650.000 users, we boast a double-digit monthly growth in France and are establishing ourselves in the Spanish market, with pan-European ambitions. Our offices are based in Paris and Barcelona.

Job description

About Bling

Bling is a mobile app that instantly lends our users up to 100€ for one month to do whatever they want. Every month, we help thousands of people to make ends meet, avoid bank overdraft fees, and to have better visibility on their expenses. All this by keeping a fresh, cool and a ethical approach.

📍Our offices are based in Paris and Barcelona.

Job description

Bling’s conversion funnel spans from acquisition, scoring, fund delivery, to repayment and collection. Besides, we are constantly improving and testing our processes.

Missions:

  • Identifying, implementing, analyzing and monitoring the right metrics.
  • Suggesting and communicating recommendations based on your analysis.

You will report directly to the COO and work closely with a Senior Data Scientist and the Risk Manager.

Conditions

  • Full-time position.
  • Based in the center of Paris. Possibility of partial work from home.
  • Compensation package based on profile.

Why join us

  • Help shape the future of data in a company which success relies on it and see the impact of your work everyday.
  • Embark on an adventure in a highly successful, for-good fintech.
  • Join a fun and ambitious team.

Preferred experience

  • Experience in data analysis, especially with cohort and funnel analyses.
  • Proficiency in Python or SQL and data visualization tools (e.g. Tableau).
  • Excellent academic background (Master 2 in a top engineering or business school, or PhD), with a specialization in a quantitative field.
  • Proactiveness and pragmatism (an insightful analysis today is better than a perfect analysis tomorrow).
  • Fluency in English.
  • Previous startup experience is a plus.

Recruitment process

Please submit your application in English

Meet the team

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