Senior Data Analyst

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.

• 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.

• 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…