Senior Manager Marketplace Data Analytics & Operational Excellence (m/f/d)

About the tech stack:

You will work within an analytics and AI ecosystem including SQL, Power BI, Python, Databricks and DBT , alongside AI-powered tools and approaches such as Claude, ChatGPT and GitHub Copilot . Automation – including agentic and non-agentic approaches – is an important part of how we want to further scale Marketplace operations.

About your tasks:

• Build and develop our Marketplace Data Analytics & Operational Excellence capability: Shape the vision and organizational setup of the team, develop specialists across analytics, AI, automation and operational excellence, and establish best practices that can scale with our Marketplace.
• Turn Marketplace data into business impact: Own performance steering and develop KPI frameworks, reporting and analytical deep dives that make performance drivers transparent. You will help teams understand topics such as seller performance, pricing and delivery times and translate insights into concrete recommendations.
• Scale and improve Marketplace operations: Identify opportunities across end-to-end processes and turn them into measurable improvements through process optimization, automation and AI-enabled solutions . You will help us move from individual initiatives towards scalable ways of working across the Marketplace organization.
• Connect data, business and technology: Bring together Marketplace teams and experts from Product, Tech, Data/AI, Finance and Operations , aligning priorities and transforming complex analytical and operational questions into clear recommendations for decision-making.
• Combine leadership with hands-on expertise: Coach and develop your growing team while remaining close to selected analytics and operational excellence projects yourself. You will establish standards and governance for performance management and continuous improvement while helping shape the future direction of the function.

About you:

• You bring 5+ years of relevant experience in Data Analytics, Operational Excellence, Consulting or a related field, ideally within e-commerce or a marketplace environment , and have already worked on analytics projects with tangible business impact.
• You have gained leadership experience , ideally around two years or more, developing employees or project teams, and you enjoy building a function rather than simply managing an established setup.
• You combine strong business understanding with solid knowledge of performance management, KPI frameworks, forecasting, advanced analytics and process optimization . You are comfortable working with analytics ecosystems such as SQL and Power BI and have a strong interest in using AI and automation to improve how teams work and make decisions.
• You can turn complex data into clear recommendations for senior stakeholders and enjoy working across business and technical teams in an international environment. English is required; German is a plus.

About your benefits:

In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits:

• Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program.
• Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers.
• Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.
• Personal development: Grow! We support and encourage your individual development through various in- and external trainings.
• Employee discount: You get a 10 % employee discount on all over the counter, beauty and personal care products in our online store & 20 % discount on nu3.

Location

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung