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

United States Digital Space LLC; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

MILES credits / Deutschlandticket

Urban Sports Club membership

Discounts with 1,500+ providers

Home office flexibility

Attractive pension plan

Growth and training opportunities

Social impact programs

Zusammenfassung

MILES, a Berlin-based mobility brand, seeks a data-driven Senior Manager Marketing Intelligence to shape growth through measurement, AI-powered analytics, and predictive workflows. You’ll be a sharp analytical partner across Marketing, owning models and experiments that turn data into smarter decisions.

You will lead attribution, experimentation, CLV/demand forecasting, and model-backed strategies for performance, brand, CRM and pricing, delivering reusable insights that empower the whole team.

Qualifikationen

• 3-5 years in marketing analytics or a comparable analytical role with hands-on modelling.
• Hands-on experience running AB/incrementality tests with decision-grade rigor.
• Exposure to propensity, CLV, or segmentation modelling with data team collaboration.
• Experience building AI-driven workflows and prototyping with LLMs (e.g., Claude).
• Fluent English; German is an advantage in the Berlin context.

Aufgaben

• Own marketing measurement approach (attribution, incrementality testing, experimentation) and set the standard for commercial decisions.
• Design and run experiments (holdouts, geo tests, incrementality) and bring clarity when methods disagree.
• Produce forecasting and scenario views for demand, spend, and outcomes to support planning.
• Create executive-ready narratives linking spend, demand, and long-term value across Carsharing and Subscription.
• Partner with central BI/Data Science to shape data models and access; build an analytical layer to accelerate decisions.

Kenntnisse

Marketing analytics

Hands-on modelling

A/B testing

Propensity/CLV/segmentation

AI-driven workflows

Tools

SQL

Snowflake

Tableau

Metabase

Python

R

Jobbeschreibung

Join the ride!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.

We at MILES are looking for a data-driven, commercially sharp analytical mind to join us as our (Senior) Manager Marketing Intelligence (w/m/x/d)!

Your Responsibility

This role is first and foremost a sharp analytical partner to Marketing: most of the work is turning business questions into clear, decision-grade answers. On top of that, we want someone excited to push into AI-powered workflows and, together with our data team, lightweight predictive modelling.

Core

• 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

Where you'll push the frontier

• 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

Your Experience

• 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. #milescharity