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Senior Data Analyst (f/m/d)

applike group

Hamburg

Hybrid

EUR 50.000 - 70.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A data-driven organization in Hamburg is seeking a Data Analyst to collaborate with product, tech, and marketing teams. The analyst will support stakeholders by identifying opportunities and challenges through data analysis. Responsibilities include translating business questions, analyzing data, and providing data-driven recommendations. The ideal candidate has over 4 years of experience, proficiency in SQL and Python, and a strong analytical mindset. This role offers flexible working hours, generous vacation days, and a supportive work culture.

Leistungen

30 vacation days
In-house gym access
Relocation assistance

Qualifikationen

  • 4+ years of relevant work experience.
  • Strong understanding of databases, data modelling and integration.
  • Excellent analytical and problem-solving skills.

Aufgaben

  • Translate business questions into analytical solutions.
  • Analyze data to identify trends, risks, and opportunities.
  • Provide data-driven recommendations to support decision-making.

Kenntnisse

SQL
Python
Tableau
Data analysis
Statistical methods

Tools

Tableau
R
Jupyter
Jobbeschreibung

The Data Analyst occupies an essential role within our data-driven organization, collaborating with product, tech, and marketing teams while reporting to the Business Intelligence Lead. The primary purpose of this role is to support stakeholders in making informed decisions by proactively identifying challenges and opportunities through data analysis, leading to tangible and positive impacts on the business.


What you will do:
  • Work closely with stakeholders to translate business questions into analytical solutions.
  • Analyze data using statistical methods and visualization to identify trends, risks, and opportunities.
  • Define, track, and improve KPIs aligned with business objectives.
  • Provide clear, data-driven recommendations to support decision-making.
  • Suggest and evaluate product and business experiments.
  • Ensure data availability, quality, and effective data usage across teams.
  • Contribute to the design and maintenance of analytical data models (in collaboration with the Analytics Engineer).
  • Support ETL processes and data transformations required for analysis.
  • Perform ad-hoc analyses with a strong focus on accuracy and relevance.
  • Actively contribute to improving team workflows, tools, and analytical processes.
  • Mentor junior team members when required.
Who you are:
  • 4+ years of relevant work experience.
  • Proficiency in SQL, Python and Tableau
  • Knowledge in R, Jupyter, or similar languages is beneficial
  • Strong understanding of databases, data modelling and data integration.
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation abilities.
  • Familiarity with git, docker, or dbt is desirable.
  • Background or familiarity in Data Science projects (ML, pattern recognition, forecasting, fraud detection, etc.) is a strong plus.
  • Experience in the AdTech industry or in mobile app analytics is a plus.
Why you will love working here:
  • InvestinYourFuture:Regularfeedbackandourdevelopmentprogramsupportyourgrowth,helpingyouexpandyourskillsetandachieveyourcareergoals.
  • EasyArrivaltojustDice:FromsigningtosettlinginHamburg,we’vegotyoucovered.Needavisa?Noproblem.ReadytobuildyournewlifeandcareeratjustDiceinHamburg?Wesupporteveryambition—fromlearningGermantoarelocationbonusthathelpsyousettleinandmakeHamburgfeellikehome.
  • LiveYourBestLife,atWorkandBeyond:Weworkinahybridsetupwith3coreofficedays,plusflexibleworkinghours.Enjoy30vacationdays,3weeksofremoteworkperyear,andfreeaccesstoanin-housegymwithlotsofdifferentfitnessclassesandmentalhealthsupportthroughourEmployeeAssistanceProgram(EAP).
  • ThriveWhereYouWork:EnjoytheAlsterlakeviewfromourcentralofficewithtopnotchequipment,funopenspaces,andalargevarietyofsnacksanddrinks.
  • JointheCommunity!Participateinregularteamandcompanyevents,includinghackathonsandsocialgatherings.Weworktogether,andwecelebratetogether,too.
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