Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable datamarts using SQL and Python, create impactful dashboards in Tableau and Power BI, and translate complex data into actionable insights for decision-makers.
Job Technologies
Your role in the team
- 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.
- 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.
This text has been machine translated. Show original
Our expectations of you
Education
- Bachelor's degree in Computer Science, Data Science, Business Analytics, Statistics, or a related field (Master's degree preferred).
Qualifications
- Strong expertise in SQL and data modeling, with a focus on analytical quality and performance.
- 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.
Experience
- Several years of experience as a Data Scientist, Data Analyst, Senior Analyst, or Analytics Engineer in a complex data environment.
- 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).
This text has been machine translated. Show original
What we offer
- 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% at home.
- There's an option to work for 20 days abroad in approved countries too.
This text has been machine translated. Show original
Benefits
Food & Drink
Work-Life-Integration
More net
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
zooplus AG
Wien
The Zooplus AG, headquartered in Munich, operates an e-commerce platform for pet supplies. In addition to the online shop, they also operate an online information service about pets and a community forum.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Trade, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.7
Career Growth
3.2Culture
4.3Workingconditions
4.4Engineering
3.2
Senior Data Analyst
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
