Trade Republic is hiring a

Senior Analytics Engineer - Lifecycle (f/d/m)

Chicago, United States

LIGHTHOUSE FOR TALENT 


At Trade Republic, we are on a mission to empower everyone to create wealth with easy, safe and free access to the financial system. With over five million customers we are the largest savings platforms in Europe, with users holding over €35 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 millions of people across Europe to create wealth.

 

ABOUT THE ROLE

 

We are looking for a Senior Analytics Engineer with experience on Marketing Attribution Models to help scale our business and sustain Trade Republic hyper growth. This person will be part of Lifecycle, a department of 55 superstars ranging from product, engineering, data, design and operations distributed across 4 teams and responsible for helping users discover Trade Republic, onboard into the application and maximise value along their journey. 

 

This person will report directly to the head of Lifecycle and will work next to another Senior Analytics Engineer and stakeholders from the Paid Marketing team to develop, implement and maintain a Multi Attribution Model and other solutions to maximise user acquisition while optimising marketing spend, revenues and payback period. 

 

Please note that this position is based in Berlin, Germany - relocation support is provided if required.

 

 

WHAT YOU'LL BE DOING

  • Develop, implement, and maintain marketing attribution models to accurately assign value to various marketing channels and campaigns.
  • Design and execute A/B tests, marketing mix models and other experimentation methodologies to optimise marketing strategies and improve customer acquisition, retention, and engagement.
  • Create and automate data pipelines to ensure the timely and accurate collection, processing, and reporting of marketing data.
  • Develop and maintain dashboards and reports to visualise marketing performance and experiment results for stakeholders.

 

 

WHAT WE'RE LOOKING FOR 

  • 3+ years of experience in a data analytics role, with a focus on marketing analytics, attribution and experimentation
  • Strong understanding of marketing attribution models (e.g., multi-touch, last-click, first-click) and experimentation techniques (e.g., A/B testing, multivariate testing) and hands-on experience with attribution data providers (e.g., Adjust)
  • High proficiency in statistical programming, Python preferred and experienced in engineering data pipelines and orchestrating workflows (e.g. Airflow, Metaflow).
  • Ability to lead projects end-to-end independently

 

WHY YOU SHOULD APPLY NOW

At Trade Republic you will get to do the best work of your career. We are a destination for people who are exceptional at what they do. Every day, we strive to build a world-class team and provide the space for people to do their best. We have a relentless ambition of raising the bar and expect the best from ourselves. Through our dedicated people-first management approach and transparent career paths, you will have the opportunity to develop and grow your career like never before. And because you are surrounded by a diverse team of high performers, you will be learning every day.

 

You will play an important role in fixing one of the largest challenges we face - closing the pension gap and democratizing wealth. Trade Republic is a place where your job, your career and your passions intersect. If this gets you fired up, just like it does for all of us at Trade Republic, then reach out!

Trade Republic embraces diversity and strives for equal opportunity for everyone. We are committed to building a team that represents a variety of backgrounds, characteristics, perspectives and skills. We encourage applicants of diverse gender, age, sexuality, religion, ethnicity, disability status and parental status to apply to our roles, or those from other intersecting minority groups not listed. The more diverse and inclusive we are as a team, the greater our work will be. If we can support you on DEI related questions during the interview process, please reach out to [email protected].

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