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Vivid

Growth Data Analyst

Remote Berlin, Germany
SQL Python
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Description

Vivid is a dynamic fintech company dedicated to providing innovative solutions to enhance our users' financial experience. We are on a mission to identify and solve user problems, continuously improve our products, and introduce new features to make financial management simpler and more rewarding.

We recently launched our SME division, aiming to revolutionize how small and medium-sized enterprises grow and thrive in today's competitive landscape. We are seeking a highly motivated Growth Analyst to join our team. The ideal candidate will be passionate about driving growth, adept at analyzing data, and skilled at identifying opportunities to scale acquisition channels, optimize costs, and explore new avenues for expansion. This role is instrumental in shaping the growth strategy of our SME division and ensuring its long-term success.

In this role, you will:

  • Evaluate the cost-effectiveness of various acquisition channels and initiatives.
  • Collaborate with team members to identify opportunities to scale high-performing acquisition channels.
  • Research and evaluate emerging trends and technologies in the marketing and advertising landscape.
  • Develop comprehensive dashboards and reports to track the effectiveness of different channels over time.
  • Generate innovative ideas for new acquisition channels and tactics to reach target audiences.
  • Proficiency in SQL
  • Experience with BI tools (Tableau, Power BI, Looker)
  • Basic knowledge of Python and willingness to develop these skills
  • Strong analytical skills with the ability to interpret complex data sets and draw actionable insights.
  • Excellent communication and presentation skills, with the ability to articulate findings and recommendations to stakeholders at all levels.
  • Team player with strong collaborative skills.

Would be an advantage:

  • Experience in a growth-focused role, preferably in a startup or high-growth environment
  • Basic understanding of statistics and A/B testing
  • Understanding the architecture of Data Warehouse (DWH) layers.
Vivid
Vivid
Credit Cards Cryptocurrency Financial Services Mobile Apps

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