SV Werder Bremen GmbH & Co KG aA

Junior Data Analyst

SV Werder Bremen GmbH & Co KG aA

full-time

Posted on:

Location Type: Hybrid

Location: Bremen • Germany

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Job Level

Junior

Tech Stack

PythonTableau

About the role

  • Data analysis & modeling: Analyze and prepare data from sporting performance areas as well as from commercial and organizational domains
  • Implement and continuously develop analytical use cases in the sporting context
  • Apply statistical methods as well as modern AI, machine learning, and deep learning techniques
  • Develop and evaluate performance metrics and scoring models, comparative and benchmark analyses, regression, classification, and clustering models
  • Carefully document methods, assumptions, and results
  • Data preparation & infrastructure: Support data cleansing, validation, and transformation for analytical tasks
  • Contribute to basic automations and data-driven processes
  • Project work & stakeholder management: Assist in capturing, structuring, and documenting requirements from business units
  • Visualize and present analysis results in a clear and audience-appropriate manner

Requirements

  • Completed degree or nearing completion in Data Science, Computer Science, Mathematics, Business Informatics, or a comparable field
  • Ideally, some practical experience in Data Analytics / Data Science and data visualization
  • Very good knowledge of Python and BI tools such as Tableau or Power BI
  • Basic knowledge of data preparation, data cleaning, and feature engineering
  • Strong willingness to learn and interest in new technologies and analytical methods
  • Ability to present complex analysis results in a clear and audience-appropriate way
  • Team-oriented and structured working style
Benefits
  • Flexible working hours
  • Remote work and workation
  • Subsidy for the Deutschland-Ticket as well as EGYM Wellpass
  • Social days: All employees receive two social days per year to use for volunteer engagement
  • Regular employee events, from after-work gatherings to end-of-season parties or away match trips
  • We support your professional development, e.g., through (in-house) training or active promotion of Bremen’s educational leave
  • The opportunity to attend home matches — of course free of charge

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata modelingstatistical methodsmachine learningdeep learningperformance metricsregressionclassificationclusteringdata preparation
Soft skills
team-orientedstructured working styleability to present complex analysisstrong willingness to learninterest in new technologies