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Senior Data Analyst - Sales (All Genders)
Anzeige auf Englisch
+ 1 weitere
- Full-time
- Department: Product & Tech
- Job Level: 07
- Compensation: EUR 69,500 - EUR 84,900 - yearly
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.
As a Senior Sales Analyst at zooplus, you will join our Shopping & Markets Analytics team within the Data & Analytics division acting as a strategic analytics partner for our Regional Sales and Commercial teams across Europe.
You will own a portfolio of analytical products, reporting solutions and business insights that support commercial decision-making across multiple markets and functions. Working closely with Sales, Growth / Category managers, Pricing and Leadership stakeholders, you will identify growth opportunities, challenge assumptions, drive KPI governance and provide actionable recommendations that drive business performance and support the future growth of zooplus.
Shopping & Markets Analytics mission
The Shopping & Markets Analytics team empowers product and business teams to make better decisions by transforming transactional and behavioral data into clear insights and actionable recommendations.
We partner closely with stakeholders across the full commercial lifecycle, from performance analysis and opportunity identification to impact assessment and business steering. By combining business understanding with advanced analytics, we help teams unlock growth opportunities, accelerate decision-making and foster a strong data-driven culture across zooplus.
Key Responsibilities:
Act as a strategic analytics partner for Regional Sales stakeholders across Europe, supporting data-driven decision-making and business growth.
Identify commercial opportunities and performance drivers through in-depth analysis of sales, pricing, promotions, customer behavior and market trends.
Own and continuously improve dashboards, reporting solutions and KPI frameworks that support business steering and performance monitoring.
Design and maintain scalable analytical datasets and data marts, ensuring reliable and efficient access to business insights.
Lead complex analytical projects in collaboration with cross-functional teams including Sales, Pricing, CRM, Category Management and Data Science.
Leverage AI, automation and modern analytics tools to improve analytical efficiency and enable self-service analytics.
Communicate insights and recommendations effectively to stakeholders at all levels, including senior leadership.
Promote a data-driven culture by helping stakeholders understand, access and act on data.
Skills and experience:
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Business Administration, Computer Science or a related analytical field.
5+ years of experience in Analytics, Business Intelligence or Commercial analytics roles, preferably within e-commerce, retail or digital businesses.
Advanced SQL expertise, including large-scale data analysis, query optimization and development of analytical datasets.
Strong experience with Tableau, Power BI or similar BI and data visualization tools.
Strong commercial acumen and understanding of sales, pricing, promotions, customer behavior and e-commerce performance metrics.
Proven ability to translate complex data into actionable business recommendations and influence stakeholder decisions.
Strong communication and presentation skills, with experience engaging senior business stakeholders.
Experience working with cloud-based analytics environments and modern data platforms.
Proactive, business-oriented mindset with strong problem-solving and stakeholder management skills.
Strong prioritization skills and the ability to adapt quickly to evolving business needs and stakeholder priorities.
Nice to Have
Experience working with digital behavioral or event-based data and translating customer interactions into actionable business insights.
Experience with Python or R for analytics, automation or modelling.
Experience building self-service analytics solutions and scalable reporting frameworks.
Experience with forecasting, experimentation or other advanced analytical methodologies.
Experience leveraging AI-enabled analytics tools to improve analytical efficiency and business decision-making.
Experience leading cross-functional analytics initiatives or mentoring other analysts.
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.
Add to that 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, and you’ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.
A note on compensation: We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.
At zooplus, 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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