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Data Analyst, Client Onboarding

LYNX Beleggen

Berlin, Berlin, GermanyOn Site

Original Job Summary

Overview

LYNX Beleggen is seeking a skilled Data Analyst, Client Onboarding to uncover insights and solve real-world financial challenges using Python and SQL.

Primary Responsibilities

You will manage the end-to-end process of data-driven knowledge gathering, create solutions for complex business challenges, set up long-term dashboarding and tracking, conduct A/B tests to optimize decisions, and perform deep-dives into socio-economic factors.

What We're Looking For

  • Solid analytical and problem-solving skills
  • Proficiency in Python and SQL
  • Strong foundation in statistics including A/B and hypothesis testing
  • Excellent verbal and written communication skills
  • Financial markets knowledge including options and futures

Benefits & Perks

  • Competitive salary based on experience
  • Free lunch, fresh juices, and fruit
  • Growth potential with a training budget of €2,000 annually
  • Trips and team activities plus Urban Sports Club discount
  • Contributions to a company pension scheme
  • In-house language courses

About LYNX Beleggen

LYNX Beleggen is an international FinTech firm with offices in Amsterdam, Berlin, Ghent, and Prague, offering a relaxed work environment, state-of-the-art trading platforms, and advanced mobile solutions for investors since 2006.

Key skills/competency

  • Python
  • SQL
  • Analytics
  • A/B Testing
  • Dashboarding
  • Statistical Analysis
  • Problem Solving
  • Financial Markets
  • Data Visualization
  • Communication

How to Get Hired at LYNX Beleggen

🎯 Tips for Getting Hired

  • Customize your resume: Highlight Python, SQL, and analytics expertise.
  • Research LYNX Beleggen: Understand their financial products and culture.
  • Tailor your cover letter: Emphasize data-driven problem solving.
  • Prepare for technical tests: Practice data analysis and A/B testing scenarios.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced Python coding challenges.
Refine SQL query optimization skills.
Review A/B testing methodologies.
Study dashboard creation techniques.

Behavioral Questions

Describe a time you solved a complex problem.
Explain your approach to data challenges.
Share an experience of teamwork under pressure.
Discuss handling project deadlines.