Senior Manager, Analytics & ML (AdTech) at Delivery Hero – Berlin | Jobyssey

Job Description

We are looking for an empathetic and operationally rigorous Analytics Manager to lead a team of data analysts within our AdTech division. Your mission is to transition this team from a reactive, request based and "data-pulling" function into a proactive, consultative partner to the business. You will partner closely with our Staff Analysts and Data Scientists to upskill the team's technical capabilities, while you focus on career development, stakeholder management, and ensuring the team delivers high-impact, narrative-driven insights that maximize our ad inventory yield.

Your key responsibilities include:

Team Leadership & Coaching: Manage, mentor, and grow a team of data analysts. Conduct regular 1:1s, define clear career progression paths, and coach them on business acumen and data storytelling.
Operational Excellence: Own the team’s delivery pipeline. Implement sprint planning or intake processes to protect the team from ad-hoc chaos, ensuring they focus on high-ROI projects rather than just answering tickets.
Stakeholder Management: Act as a point of contact for Director-level stakeholders in Commercial, Product and Engineering. Negotiate roadmaps, manage expectations based on the expected impact of the analyses.
Strategic Alignment: Translate the broader Ads division strategy into actionable quarterly goals for your analysts. Ensure every dashboard or analysis built ties directly to maximizing ad revenue or improving vendor ROI.
Technical Oversight & QA: While you won't be the primary coder, you will review your team’s work. You will ensure SQL queries are optimized, dashboards are intuitive, and presentations answer the "So what?" before they reach senior leadership.
Cross-Functional Partnership: Collaborate seamlessly with the Staff Data Analyst to operationalize advanced machine learning models (like churn prediction or lead scoring) into the team's daily workflows.

Qualifications

8+ years of experience in Data Analytics, BI, or Data Science, preferably within Monetization, AdTech, or a Marketplace environment.
2+ years of experience mentoring, leading, or managing analysts (this can include acting as a Technical Lead or agile Scrum Master for a data team).
Strong technical foundation: Expert in SQL and BI visualization tools (e.g., Tableau, Looker). A solid understanding of Python and Machine Learning concepts to effectively manage advanced projects. Comfortable with Google Cloud Platform or similar.
Exceptional prioritization skills, providing “assertive-support” to the other teams: You know how to identify the main opportunities, prioritise the efforts and based on these know how to say "no" to stakeholders respectfully and can teach your team how to do the same.
Strong commercial fluency: You understand how digital ad auctions operate (CPM/CPC), and how to measure the profitability of an initiative in a complex multi-national matrix organization.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.
Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
Look up and go for it. We will support you in developing yourself and your career: 1.000 € Educational Budget, Language Courses, Parental Support
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Online Canteen, Corporate Discounts

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do 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.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].

Severely disabled applicants with equal qualifications will be given preferential consideration.

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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