Data Analyst (all genders)

Every decision at MUVN depends on a number. No one should have to search for it.

MUVN connects drivers with free cargo space to people and companies that need to transport something. No new fleet, no new logistics. Better utilization of what is already on the road. Our marketplace grows beyond corridors, beyond individual routes that become dense enough to sustain themselves. Whether a route sustains itself is not a matter of opinion, but a measurement.

To achieve this, we are building the MUVN Brain: a connected layer over our systems where key figures are defined once and people and AI agents receive the same answer. There will always be more than one system. The difference lies in whether they talk to each other. You are building that.

You are our first dedicated data role, reporting to our CFO and working directly with the founding team, marketing, and operations. You are not inheriting a data platform, you are deciding what it will become. And you will answer the questions on which money depends for us: Which corridor will tip over next. Where are we losing demand. Which channel brings matches instead of downloads.

You will work AI-First: AI will take care of execution, you will own intention, logical reasoning, and correctness.

For this, we are looking for you to join our team full-time starting October 1, 2026 🚀

Tasks

One truth, not five

You will define our core key figures across the entire funnel, bindingly, with a clear naming convention and one definition per metric. Parts of these already exist, they are just not operationalized anywhere. You will reconcile the sources, explain deviations, and ensure that a question has exactly one answer, regardless of who asks it.

Making the marketplace measurable

Our unit of analysis is the corridor, not the city and not the country. You will make supply, demand, fill rate, and time-to-match visible at this level, including cases that do not appear in any standard funnel. A driver who finds nothing is a signal for us, not a missing data point.

Building the MUVN Brain

Today: direct SQL, Python scripts, API pulls. You will transfer this into a lightweight, connected stack and decide on architecture and tools, from the warehouse through the transformation layer to the BI tool. Every tool will be introduced at the point where it earns its cost, not before. Five reliable models are better than fifty half-trusted ones.

Pipelines that can be trusted

You will integrate our sources with pipelines that are idempotent, testable, and documented. You will build validation between sources and catch discrepancies before they reach a meeting. If something breaks, you will find the cause instead of the symptom and plan backfills with checks before and after.

Analyses that support decisions

Recurring management reporting, cohorts, retention, pricing, funnels, end-to-end marketing performance. You will answer ad-hoc questions quickly. Those that come up repeatedly, you will transfer into self-serve reports so the team can serve themselves.

Making the team independent of you

You will take requirements from founders, marketing, and operations and translate them into reusable models. You will document definitions, assumptions, and special cases where they belong, in the code and in the documentation, not in your head. Data questions should not end with you.

AI agents as part of the system

You will build and iterate agents for clearly defined tasks: recurring reports, documentation, data quality checks. You will maintain the machine-readable context files that make our brain usable in the first place, with our conventions, definitions, and domain rules. You will check what AI produces before it counts. Correctness is your responsibility, not the tool's.

Qualifications

You have several years of experience as an Analyst, Analytics Engineer, or in a comparable role and have built a reporting system from scratch before, not just maintained one. For you, SQL is a craft, not a hurdle: window functions, CTEs, query optimization, and enough depth to read an execution plan and find a performance problem yourself. You use Python for analysis and pipeline work.

What distinguishes this role from classic analysis: You don't get tickets. You get decisions that need to be made, and you figure out yourself which number needs to support them, who will read them, and what already exists for them.

What works for us:

• You first ask which decision depends on the number before you write the first query.
• You formulate a hypothesis before you test it, and change it if the data says something else.
• You notice when a number is too good to be true and investigate it before it enters a meeting.
• You work independently and report when something is stuck, not only in the weekly meeting.
• You measure yourself by results before anyone else does.
• You document in such a way that the next person doesn't have to ask you.
• You think in terms of costs, for compute, storage, and pipeline design, and act accordingly.
• You share what you know. Knowledge that is only with you is a risk for us, not an advantage.

Solid analytics foundation: cohorts, funnels, unit economics, and basic statistical understanding. Practical experience with product and marketing analytics tools like Mixpanel, GA4, Mobile Attribution, or similar. Applied engineering principles to data work: modularity, idempotency, testability as default. Privacy-aware modeling is a given for you, we work with payment and personal data. AI-supported workflows are your daily business, with full responsibility for the outcome.

A plus, not a must: dbt or a modern data stack that you have introduced yourself. Experience with payments data. Marketplace or platform background, i.e., liquidity, take rate, supply and demand dynamics. Early-stage experience, you have already worked without a playbook.

Fluent in German and English.

Driven people > Degrees. Your mindset matters more than your degree.

Benefits

• Your marketplace, your numbers: real ownership from day 1
• Flexible work models: Work when it suits you best
• Direct line to the founders: no HR filter, no hierarchy in between
• Career perspective: build your own team long-term, in DACH and Europe
• Hybrid working & remote: flexibility is our program
• Offsites with the team: Together we achieve more
• Free MUVN Rides: No usage fees for you
• Corporate Benefits: Discounts in hundreds of online shops

More information about our benefits and our company values can be found on our career page.

Send us your CV and two or three sentences about it: Which key figure would you define bindingly first at our company, and why that one?

This is how it works: first conversation with our CFO, then a technical session on an anonymized case from our marketplace, then meet the team.

Questions? Directly to Katharina.

Let's get it muvn. 🚀