eCommerce Category Growth and Data Innovation Manager

Job Description:

Job Overview

Zooplus is one of our largest and most strategic eCommerce customers in Europe. With increasing access to customer data and rapidly evolving technology, we have an exciting opportunity to identify and unlock new sources of category and mutual growth.

We are looking for an eCommerce Category Growth & Data Innovation Manager to join the Zooplus Customer Team and accelerate how we identify and activate eCommerce category growth opportunities.

Sitting at the intersection of eCommerce, Category Management, Data and Technology, you will combine a deep curiosity for the digital shopper with strong commercial thinking and a passion for data and tech. You will use customer, shopper and category data to identify growth opportunities, support SRM team with improving Price Pack Architecture effectiveness, support the development of assortment strategies and turn complex insights into clear commercial actions internally with Mars and externally with Zooplus.

You will also explore how data, advanced analytics, and AI can help us work differently and make better decisions. You do not need to be a data scientist or technology specialist. We are looking for someone who is curious about what technology can enable, can identify relevant commercial use cases and has the drive to turn new ideas into practical solutions.

This is an exciting opportunity to work with Europe's leading online pet retailer and play a key role in accelerating data-led category growth within Mars Pet Nutrition Europe.

What are we looking for?

• Strong commercial and category management experience, ideally within eCommerce, digital commerce or customer development.

• A deep curiosity for the digital shopper and an understanding of the key levers that drive category growth and conversion online.

• Highly analytical, with the ability to connect multiple data sources and turn complexity into clear insights and commercial opportunities.

• Passionate about data, technology and AI, with the curiosity and drive to explore how emerging capabilities can improve digital commerce and category decision making.

• Strong commercial judgement and the ability to move from insight to recommendation and action.

• Able to translate business challenges into clear analytical, data or technology use cases and work effectively with specialist teams.

• Strong storytelling and influencing skills, with the ability to simplify complex topics and engage internal and external stakeholders.

• Proactive and action-oriented, with the confidence to challenge existing ways of working and test new approaches.

• Strong cross-functional collaboration and stakeholder management skills.

What will be your key responsibilities?

1. Identify & Unlock eCommerce Category Growth Opportunities

• Proactively identify category and commercial growth opportunities by combining customer, shopper, category and market data.

• Build a deep understanding of digital shopper missions, behaviours and journeys to identify opportunities across search, navigation, assortment, merchandising, content and conversion.

• Support SRM team with Driving Price Pack Architecture effectiveness for Zooplus, using data and shopper insights to identify gaps and opportunities across pack formats, price points and shopper missions.

• Support the development of eCommerce assortment strategies, identifying opportunities to optimise range and better meet digital shopper needs.

• Conduct category and shopper deep dives to identify emerging trends, unmet needs and areas of underperformance, translating findings into clear commercial recommendations.

• Partner with the Zooplus Customer Team and cross-functional teams to turn identified opportunities into actionable customer initiatives and Joint Business Planning priorities.

2. Analyse Performance & Measure What Drives Growth

• Build a clear and holistic view of category, shopper and customer performance by connecting relevant internal and external data sources.

• Track and analyse key business and category performance indicators, identifying the drivers behind performance changes and areas requiring further investigation.

• Conduct targeted analytical deep dives to understand why performance is changing and translate findings into clear implications and recommended actions.

• Develop practical and repeatable performance measurement approaches for key category and commercial initiatives.

• Measure the impact of growth initiatives, identifying what is working, where execution can be improved and opportunities to optimise future activity.

• Turn complex analysis into simple, compelling and action-oriented performance stories for Mars and Zooplus stakeholders.

3. Explore Data, Technology & AI as Growth Enablers

• Identify commercial opportunities where data, advanced analytics, automation or AI could improve shopper understanding, decision making or eCommerce execution.

• Translate business challenges into clear use cases and partner with Data & Technology and Analytics teams to explore and develop solutions.

• Support and lead pilots with new tools, technologies and analytical approaches, helping define the opportunity, test the solution and measure commercial impact.

• Support the adoption and scaling of successful solutions within the Zooplus Customer Team and, where relevant, the broader Pet Nutrition Europe organisation.

• Stay curious about emerging technologies and external innovations that could improve eCommerce category management and commercial decision making.

4. Turn Insights into Commercial Action

• Act as a category growth partner to the Zooplus Customer Team, helping embed data and insights into customer plans and commercial decision making.

• Develop compelling, insight-led category growth narratives and customer recommendations.

• Partner across Sales, Category, Marketing, Retail Media, Supply Chain and Data & Technology to translate identified opportunities into executable growth initiatives.

• Support alignment around priority opportunities, helping establish clear actions, ownership and measures of success.

• Use performance learnings and shopper insights to recommend opportunities to optimise and improve execution.

5. Build New Capabilities & Ways of Working

• Champion a data-led, digitally curious and experimental mindset across the Zooplus Customer Team.

• Identify opportunities to simplify and automate existing processes, reducing manual analysis and increasing time spent on insight and action.

• Develop practical tools, frameworks and best practices that improve eCommerce category decision making.

• Share relevant trends, tools and new capabilities with the broader team, helping build confidence in the use of data, technology and AI.

• Act as a connector between commercial teams and Data & Technology specialists, helping translate business needs and technical capabilities in both directions.

Why this job?

• European scope and the opportunity to contribute to digital commerce growth across Pet Nutrition Europe.

• Partner with Zooplus, Europe's leading online pet retailer and one of the Top 10 customers within Pet Nutrition Europe.

• Play a key role in identifying and activating new eCommerce category growth opportunities.

• Work at the intersection of eCommerce, Category, Data and Technology and explore how AI and emerging capabilities can improve commercial decision making.

• Exposure to senior Mars and Zooplus stakeholders and a broad cross-functional network.

• Work with a diverse and talented team of Associates across Europe.

What can you expect from Mars?

• Work with diverse and talented Associates, all guided by the Five Principles.

• Join a purpose-driven company, where we're striving to build the world we want tomorrow, today.

• A strong focus on learning and development support from day one, including access to our in-house Mars University.

• An industry-competitive salary and benefits package, including company bonus.

Skills

eCommerce Category Management, Category Growth, Digital Commerce, Data Analysis, Commercial Analytics, Digital Shopper Insights, Price Pack Architecture, Assortment Strategy, Data Storytelling, Advanced Analytics, Artificial Intelligence (AI), Business Problem Solving, Customer Strategy, Cross-Functional Collaboration

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