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Data Analyst (m/f/d)



Company Description, part of Axel Springer SE, is a leading drive to store marketing partner across Europe and South America. Bonial inspires millions of shoppers each month by connecting them with their favorite brands & retailers.

More than 1500 retailers & brands across all retail sectors rely on the tailor-made, data driven marketing solutions from to promote their offers & reach measurable business results with maximized return on investment.

Our Teamlead Data Science & Analytics says: “Data is one of the hubs between Online Marketing, Product, IT and Sales here at New questions are raised every day that cover all facets of BI such as developing a prediction model for user retention, defining KPIs and events for an A/B test, integrating a new data source in our enterprise data architecture or supporting critical business decisions by translating business problems into quantitative terms.

We support all departments to help them deliver the most value to the users and the company. As part of the Product team you can influence projects with the results of your analysis. We offer you a strong learning curve, responsibility for projects and room for your own ideas to bring the data team to the next level.

Job Description

As our new Data Analyst, you will join our off-platform monetisation product area and report to the product lead. In this role, you will create, evaluate, visualize and automate reports based on the requirements of internal stakeholders, like Online Marketing, Sales and Product, as well as maintain and modify them based on changing business requirements.

You have experienced or have knowledge in...

  • Perform regular deep-dives investigating business questions with timely and insightful analysis.
  • Develop new KPIs to enable all departments to make business-critical decisions based on data.
  • Make business recommendations to influence our data strategy
  • Filter, organise and clean large volumes of data prior to analysis.
  • Gather know-how on tools and best practices on a daily basis.
  • Create easy to understand dashboards

You hold a degree in business, economics, mathematics, statistics or equivalent (technical) field and you have a ‘can-do’ attitude with a passion for analytics and data and bring with you a couple of years of hands-on experience.


You show yourself to have...

  • A strong ability to understand and incorporate the big picture into the details of the analysis.
  • Well structured, analytical thinking and ability to explain and visualise complex analyses in a clear understandable manner to a non-technical audience.
  • Entrepreneurial mindset so someone keen to make recommendations that will positively impact Bonial
  • At least 2+ years of experience in the data field.
  • The ability to understand & write complex SQL statements and preferably a programming language, e.g. Python, R, etc.
  • Having experience with Big Data architectures is a plus
  • Ad tech experience like DMP, DSP
  • Experience with data visualisation, e.g. Excel, PowerBI, Tableau, Qlikview, D3

You can communicate on a near-native level in English with all other languages being very much a bonus.

Additional Information

Once you are part of Bonial, we offer you great opportunities to grow. We have a clear career path, depending on your personal goals. In order to reach these goals, you have feedback talks with your team lead on a regular basis. Additionally, you can enjoy the view of on our roof terrace during our monthly meetups and regular team- and company eventsMore (fun)facts:

  • Bonial is celebrating its 10th birthday this year!
  • Did you know that employee number one is still working at our company?
  • And our own CMO started as a trainee back in 2012.
  • We have a shiny new office with a good view of the sights of Berlin.
  • We have some seriously impressive Karaoke singers in the company!
  • For parents – we have a nice Family-room in case your Kita is bailing on you.



Activity Room and Gym
Activity Room and Gym
Free coffee, fruits and vegetables
Free coffee, fruits and vegetables
German and English language classes
German and English language classes
International Teams
International Teams
Parent and Child Room
Parent and Child Room

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