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Senior Data Analyst

in 10115, Berlin, Berlin, Deutschland
Unternehmen: zooplus SE
Vollzeit position
Verfasst am 2026-07-20
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Daten Analyst, Dateningenieur, Geschäftsintelligenz
Gehalts-/Lohnspanne oder Branchenbenchmark: 60000 - 80000 EUR pro Jahr EUR 60000.00 80000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Senior Data Analyst (All Genders)

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets.

That’s the power of plus.

We are looking for a
Senior Data Analyst
with a strong analytics and data science foundation to drive high‑impact, data‑driven decisions across the business. In this role, you will go beyond descriptive reporting, shaping analytical solutions, developing scalable datamarts, and translating complex data into clear, actionable insights for senior stakeholders.

You will work at the intersection of
analytics engineering, business intelligence, and applied data science
, collaborating closely with business teams to influence strategic and operational outcomes.

This role is ideal for someone who enjoys
owning analytical problem statements end‑to‑end
, from data modeling and exploration to advanced analysis, visualization, and stakeholder communication.

What you will do
  • Design, develop, and own analytical datamarts
    using SQL and Python, ensuring scalability, performance, and analytical robustness.
  • Build and maintain
    high‑impact Tableau and Power BI dashboards
    that track KPIs and support executive and operational decision‑making.
  • Apply
    advanced analytical techniques
    to identify trends, patterns, anomalies, and optimization opportunities across all business domains.
  • Translate ambiguous business questions into
    structured analytical approaches
    , hypotheses, and measurable outcomes.
  • Partner closely with business stakeholders to
    define success metrics
    , frame analytical questions, and deliver insights that drive action.
  • Use data visualization and storytelling techniques to
    communicate insights clearly to both technical and non‑technical audiences
    .
  • Identify opportunities to improve
    dashboard performance, data models, and reporting landscape consolidation
    .
  • Maintain reporting schedules and data extracts where required, ensuring data reliability and consistency.
  • Provide
    1st‑level support
    , while proactively improving self‑service analytics capabilities.
  • Stay up to date with
    modern BI, analytics, and data science best practices
    , continuously raising the analytical maturity of the team.
Qualifications
  • Bachelor's degree in Computer Science, Data Science, Business Analytics, Statistics, or a related field (
    Master's degree preferred
    ).
  • Several years of experience
    as a Data Scientist, Data Analyst, Senior Analyst, or Analytics Engineer in a complex data environment.
  • Strong expertise in
    SQL and data modeling
    , with a focus on analytical quality and performance.
  • Advanced experience with
    Tableau Desktop
    ; solid Power BI knowledge is a plus.
  • Python experience
    for data analysis, automation, or advanced analytics is highly desirable.
  • Hands‑on experience working with enterprise data platforms (e.g.
    AWS Athena, SAP BW, Oracle
    , or comparable technologies).
  • Solid understanding of
    analytical concepts
    such as KPI design, experimentation, trend analysis, and data validation.
  • Ability to
    think analytically and strategically
    , balancing business context with technical depth.
  • Excellent written and verbal
    communication skills in English
    , with the confidence to present insights to senior stakeholders.

Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% re’s an option to work for 20 days abroad in approved countries too.

Benefits

Development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products. We believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

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Stellen-Anforderungen
10+ Jahre Berufserfahrung
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