Data Analyst

MUVN - Mitfahrgelegenheit für Gegenstände

. Define core metrics across the entire funnel and establish binding naming conventions and metric definitions .

Posted 9/17/2026full-timeHamburg • GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines, conducting comprehensive analyses, and translating business requirements into actionable data models. Proficient in SQL and Python, with a strong foundation in analytics and experience in AI-assisted workflows.

Highest-signal resume keywords

Strong SQL SkillsPython For AnalysisProduct And Marketing Analytics ToolsData Pipeline EngineeringFluent In German And English

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData AnalysisCohortsFunnel AnalysisUnit EconomicsStatisticsData ModelingQuery OptimizationIdempotency

Soft Skills

Independent WorkDecision-Oriented

Tools & Technologies

MixpanelGA4Mobile AttributionDbtModern Data Stack

Industry Keywords

Marketplace ExperiencePlatform ExperiencePayments DataEarly-Stage Experience

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define core metrics across the entire funnel and establish binding naming conventions and metric definitions
Reconcile data sources, explain discrepancies, and ensure a consistent answer to every data question
Make supply, demand, fill rate, and time-to-match measurable at corridor level
Build a lightweight, connected data stack from the warehouse through the transformation layer to the BI tool, and select the architecture and tools
Integrate idempotent, testable, and documented data pipelines
Implement source validation and identify discrepancies at an early stage
Analyze root causes of errors and plan verified backfills
Conduct management reporting as well as cohort, retention, pricing, funnel, and marketing performance analyses
Answer ad hoc questions and turn recurring questions into self-service reports
Translate requirements from the founding team, Marketing, and Operations into reusable data models
Document definitions, assumptions, and edge cases in code and documentation
Build and iterate on AI agents for recurring reports, documentation, and data quality checks
Maintain machine-readable context files containing conventions, definitions, and domain rules
Review AI-generated results and take responsibility for their accuracy
Report directly to the CFO and work closely with the founding team, Marketing, and Operations

Requirements

What you’ll need

Several years of experience as an Analyst, Analytics Engineer, or in a comparable role
Have built reporting from scratch at least once, rather than only maintaining existing reports
Strong SQL skills, including window functions, CTEs, query optimization, and execution plans
Python for analysis and pipeline work
Independent, decision-oriented work without ticket-driven instructions
Solid analytics foundation: cohorts, funnels, unit economics, and a basic understanding of statistics
Practical experience with product and marketing analytics tools such as Mixpanel, GA4, mobile attribution, or comparable platforms
Engineering fundamentals: modularity, idempotency, and testability
Privacy-conscious modeling involving payment and personal data
AI-assisted workflows with full responsibility for the results
Fluent in German and English
Experience with dbt or a self-established Modern Data Stack is a plus, but not required
Experience with payments data is a plus
Marketplace or platform experience is a plus
Early-stage experience is a plus
A university degree is not required; “Driven people > Degrees”

Benefits

Comp & perks

Real ownership from day one
Flexible working models: work when it suits you best
Direct access to the founders: no HR filter and no layers of hierarchy in between
Career prospects: build your own team over the long term, across the DACH region and Europe
Hybrid work and remote options: flexibility is part of how we operate
Team offsites
Free MUVN rides: no usage fees for you
Corporate benefits: discounts at hundreds of online stores