Senior Data Analyst
80331, München, Bayern, Deutschland
Verfasst am 2026-01-27
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IT/Informationstechnik
Daten Analyst, Data Science Manager, Wirtschaftsinformatik, Data Mining
Overview
Munich, Germany – Hybrid (2 days onsite, 3 work from home)
Competitive salary and package available
Are you excited by solving complex marketing challenges with data, experimentation, and sharp analytical thinking? Motivated by high ownership, autonomy, and the chance to make significant contributions in a brand new team
? If you enjoy working hands-on with data to influence marketing strategy and growth, this role could be a great fit.
Our client is a fast-growing European travel-tech company on a mission to make booking and hosting holiday homes simple, reliable, and joyful. With 700+ people from over 60 nationalities, they are scaling rapidly across markets while maintaining a strong product- and data-driven culture.
About the RoleAs a Senior Data Analyst
, you will play a key role in enabling data-driven marketing decisions across multiple channels. You’ll work closely with marketing stakeholders, data engineers, and data scientists to deliver insights, build robust analytical frameworks, and improve data quality and tracking.
This is a highly hands-on role with strong ownership, focused on turning complex marketing data into clear, actionable insights that directly influence strategy, investment decisions, and performance optimisation.
What You’ll Do- Deliver deep, actionable insights across marketing channels including Performance, SEO, CRM, and Affiliate.
- Translate business and channel logic into clear analytical requirements and scalable frameworks.
- Partner with marketing stakeholders to inform strategy, budgeting, and optimisation decisions.
- Work hands-on with SQL and Looker to analyse data and build dashboards and models.
- Contribute to the development of analytical standards, documentation, and best practices.
- 4+ years of experience in marketing analytics within multi-channel B2B or B2C environments.
- Strong expertise in areas such as attribution, bidding logic, cost & revenue allocation, or related domains.
- Advanced technical skills in SQL and data visualisation tools
. Good Python knowledge would be advantageous - Able to translate marketing goals into clear analytical solutions and impactful insights.
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