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About the Role
Lead a team of data analysts within the AdTech division, transitioning them from a reactive function to a proactive, consultative partner. Focus on upskilling technical capabilities, career development, stakeholder management, and delivering high-impact insights to maximize ad inventory yield.
Responsibilities
- Manage, mentor, and grow a team of data analysts, including conducting 1:1s and defining career paths.
- Coach analysts on business acumen and data storytelling.
- Own the team’s delivery pipeline and implement processes to protect from ad-hoc requests.
- Ensure the team focuses on high-ROI projects rather than just answering tickets.
- Act as a point of contact for Director-level stakeholders in Commercial, Product, and Engineering.
- Negotiate roadmaps and manage stakeholder expectations based on analysis impact.
- Translate Ads division strategy into actionable quarterly goals for analysts.
- Ensure all dashboards and analyses directly contribute to maximizing ad revenue or improving vendor ROI.
- Review team's work, ensuring rigorous standards for ML models, optimized SQL queries, intuitive dashboards, and impactful presentations.
- Ensure adherence to regulations such as GDPR.
- Collaborate with analysts, data scientists, and engineering to operationalize advanced machine learning models.
Requirements
- 10+ years of experience in Data Analytics, BI, or Data Science, preferably within Monetization, AdTech, or a Marketplace environment.
- 5+ years of experience mentoring, leading, or managing analysts.
- Expert in SQL and BI visualization tools (e.g., Tableau, Looker).
- Solid understanding of Python and Machine Learning concepts.
- Comfortable with Google Cloud Platform or similar.
- Exceptional prioritization skills and ability to say 'no' respectfully.
- Strong commercial fluency, understanding digital ad auctions (CPM/CPC) and initiative profitability.
- Ability to teach the team how to prioritize and say 'no' respectfully.
Skills
- Data Analytics
- BI
- Data Science
- SQL
- BI visualization tools
- Tableau
- Looker
- Python
- Machine Learning
- Google Cloud Platform
- Data Storytelling
- Stakeholder Management
- Team Leadership
- Mentoring
- Coaching
- Operational Excellence
- Prioritization
- Commercial Fluency
Location
- Berlin, Germany
Work Type
- Hybrid
- Full-time
Experience Level
- Senior Manager
- 10+ years of experience
- 5+ years of management experience
Benefits
- 27 days holiday
- Extra day holiday on 2nd and 3rd year of service
- Health Checkups
- Meditation
- Yoga
- Gym & Bicycle Subsidy
- Employee Share Purchase Plan
- Sabbatical Bank
- Public Transportation Ticket Discount
- Life & Accident Insurance
- Corporate Pension Plan
- 1.000 € Educational Budget
- Language Courses
- Parental Support
- Digital Meal Vouchers
- Food Vouchers
- Online Canteen
- Corporate Discounts
About the Company
- The world’s pioneering local delivery platform.
- Mission: To deliver an amazing experience, fast, easy, and to your door.
- Operates in around 65 countries worldwide.
- One of Europe’s largest tech platforms.
- Headquartered in Berlin, Germany.
- Listed on the Frankfurt Stock Exchange since 2017 and part of the MDAX stock market index.
- Enables creative minds to deliver solutions that create impact within their ecosystem.
- Moves fast, takes action, and adapts.
Equal Opportunity
- Diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
- Does not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
- Encourages candidates to notify of any accommodations or specific accessibility support needed for a smooth interview experience.
- Severely disabled applicants with equal qualifications will be given preferential consideration.
- Welcomes candidates to share pronouns (he/she/they) from the start.