Analytics Engineer - Growth (f/d/m) (m/w/d)

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Trade Republic
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Veröffentlicht: 20.11.2023

Arbeitsort: 10115 Berlin


At Trade Republic, we are on a mission to democratize wealth. We set up millions of Europeans for wealth with fast, easy, and free access to capital markets. With over one million customers we are one of the largest savings platforms in Europe, with users holding over €6 billion on our platform.

We are seen as the go-to-destination for top talent from across the globe. Everyday we strive to make Trade Republic a great environment to do the best work of your life, surrounded by exceptional, caring and passionate colleagues. In addition to learning and growing with a world-class team, you will build a destination for everyone across Europe to put money to work.


The Growth teams are on a mission to provide frictionless first access to Trade Republic across multiple markets, activating customers to start their wealth creation journey.

To succeed in delivering the best experience we need to leverage data, understand frictions, customer struggles, and business opportunities.

As a Growth Analytics Engineer, you will work on analysis and dashboards that will help us measure success, understanding issues and make hypothesis for the way forward.


  • Partner with onboarding, incentives and marketing leaders to help them understand the effectiveness of our actions and consistently make data driven decisions

  • Define and implement proper measures for success for these teams and enable them to monitor these metrics consistently via dashboards in Looker

  • Proactively create insights that uncover new product and marketing opportunities and help the product teams in setting up and analysing A/B tests
  • Break down complex situations into simple and understandable stories to make data insights accessible to a wide range of stakeholders

  • Perform ad hoc analysis and deep dives to answer business questions in marketing and growth

  • Build and maintain pipelines for data ingestion and transformation in collaboration with engineering teams to support your analytics tools

    We are aware that everyone has their individual strengths and weaknesses. The one thing where we don’t compromise is joy for our work and dedication to our shared mission. If you feel you are not ticking all the boxes below, but have a good general feeling about most of them, we would be very happy to talk!

  • We recommend you have at least 3 years of experience in data analytics, data pipelines and hypothesis testing
  • Business sense: You are willing to dive deep in the needs of the company, going beyond the simple understanding of a data point
  • Prioritisation skills: You understand the business context well enough to be able to suggest priorities based on impact and effort needed
  • Strong communication skills: You translate complex insights into easy to digest information towards business and technical stakeholders
  • Dashboard design : You are able to create dashboards that convey their message in a clear and understandable way (preferably with Looker)
  • Coding skills: You have an excellent knowledge of SQL, and a good understanding of Python
  • Tools: Additionally if you have used Snowflake, AWS, Airflow, DBT in the past it will help
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