You will help the editorial teams for our great brands within Bauer Xcel, one of Germanys biggest digital publishers, making better decisions using data.
Our editorial teams are working on creating relevant content to our users. This needs understanding the full user journey: from user acquisition to content consumption and monetization - all this across a large brand portfolio. Connecting all these data, reporting the teams success, finding potential for growth and track impact of measures is extremely complex - this is what we need you for!

YOU CAN ALSO BENEFIT FROM OUR ATTRACTIVE OFFERS:

• Individual solutions for the flexible organisation of working hours and location
• Targeted and individual training for your professional and personal development
• A central location in Hamburg’s city centre with good transport options (bus & train)
• Subsidy for Deutschlandticket & bike leasing
• Effective health management (e.g. health week, free sports programmes & Wellhub)
• 30 days of holiday & frequent events for employees
• Company restaurant, free magazines & various discounts via corporate benefits
• A culture in which personal responsibility, teamwork and creativity are valued and you have room for creativity and for exciting and challenging tasks
  If you are looking for an independent position and would like to enrich our existing team with fresh impulses, we look forward to receiving your complete application documents.
  Your contact for this position is Katrin Ammazzalorso.
  We are an international employer and equal opportunities are important to us. That’s why we welcome everyone in their uniqueness, regardless of e.g. religion, gender, Skin color, disability in our house
  Date: 24 Feb 2025
  Location:Hamburg, HH, DE, 20077
  Req ID: 2548

• You will be the first point of contact for the editorial team for all data-related questions
• You will work daily with the team to understand their challenges and help them incorporate data into their daily decision routines
• You build analytics solutions along all steps of the decision-making process – from hypothesis generation, EDA and experimentation to monitoring
• You will connect data from various sources, collaborating with our data product managers and engineers