(Senior) Manager Marketing Intelligence (w/m/x/d)

About MILES

Coming out of Berlin, MILES is Germany's leading carsharing provider with over 15,000 vehicles across 14 cities and ambitious plans to grow both nationally and internationally.

We move thousands of users in our cities every day, and Marketing Intelligence is how we make sure we understand what actually drives that growth.

Your mission

Build the frameworks that inform how the Marketing team makes decisions and how MILES grows.

You'll sit at the intersection of performance, brand, CRM, and pricing (an exciting scope few roles offer) and own the models, experiments, and AI‑powered workflows that turn our data into better decisions.

You won't just answer the questions you're handed; you'll have the freedom to chase the ones you think matter.

And your work won't stay yours: the tools and measurements you build make an entire Marketing team smarter, turning your capability into everyone's.

This is a rare chance to shape how a category‑defining mobility brand understands its own growth.

Responsibilities

• Own and advance our marketing measurement approach (attribution, incrementality testing, experimentation) and set the standard the team uses to make commercial decisions.
• Design and run experiments as a discipline (holdouts, geo tests, incrementality) and bring clarity when measurement approaches disagree.
• Produce forecasting and scenario views for demand, spend, and expected outcomes to support planning.
• Create executive‑ready narratives that connect spend, demand, and long‑term value across Carsharing and Subscription.
• Partner with central BI/Data Science to shape data models and access, and build your own analytical layer where it accelerates decisions.
• Build AI‑ and LLM‑powered analytics workflows that the whole Marketing team uses day‑to‑day, turning your capability into shared capability.
• Partner with BI/Data Science to build models that feed live decisions (CLV, demand forecasting, and over‑time propensity and segmentation), moving us from one‑off analyses toward durable, reusable models.

Experience & Qualifications

• 3‑5 years in marketing analytics, marketing science, or a comparable analytical role, with hands‑on modelling.
• Strong SQL and confident working in a modern data stack (Snowflake, Tableau, Metabase); modelling in Python or R is a plus.
• Hands‑on experience running A/B/incrementality tests; decision‑grade rigour, not research‑grade.
• Exposure to propensity, CLV, or segmentation modelling, or the analytical foundation and appetite to build it with our data team.
• Practical experience building AI‑driven workflows and agents, prototyping with LLMs (e. g., Claude), automating with tools like n8n, and eager to bring these into a team's everyday practice.
• Sharp analytical judgement and critical thinking: you know which questions matter.
• Ability to translate analysis into clear recommendations for senior, non‑technical stakeholders.
• Experience in subscription, marketplace, or other high‑frequency consumer businesses.
• Fluency in English; German is an advantage in our Berlin‑based context.

Benefits

• Mobility: Choose between monthly MILES credits or the Deutschlandticket.
• Fitness: Enjoy a subsidized Urban Sports Club membership for your physical and mental well‑being.
• Discounts: Access 1,500+ providers for discounts on sneakers, theater visits, and more.
• Home Office: Enjoy the flexibility of working from our office in Berlin and from home.
• Retirement: Secure your financial future with our attractive pension plan.
• Growth: We prioritize personal development through knowledge sharing and training opportunities (with the support from our HR Team and the Team Leads).
• Social Impact: We dedicate a portion of our revenue to support regional social projects, actively contributing to the well‑being of society and the environment.
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