Senior Data Analyst - Marketing and Commercial

About the role

This role is pivotal in informing key marketing decisions and supporting other commercial areas like pricing, and invaluable for driving our long-term loyalty strategy.

What you'll do

• Conduct regular deep-dives to uncover the drivers of customer loyalty and retention, translating findings into strategic recommendations that inform our loyalty and CRM initiatives.
• Own the end-to-end analytics integration of new marketing initiatives - from new B2C travel products to B2B partnerships - into our performance measurement and reporting infrastructure.
• Build and maintain the data foundation for our marketing and commercial teams, including contributing to our Customer Data Platform (CDP) and improving CRM data quality standards.
• Design and support A/B tests across pricing and marketing initiatives, translating experimental results into actionable recommendations for commercial decision-making.
• Deliver pricing insights that directly influence commercial decisions - for example, analyzing booking patterns to identify where mark-up adjustments can drive revenue without sacrificing competitiveness.
• Shape our travel product analytics practice - this is a new focus area where you actively establish the right metrics and data quality standards, and build the analytical foundation that will drive supplier negotiations and margin optimization going forward.
• Build and maintain central marketing dashboards that serve as the single source of truth for marketing and commercial KPIs, ensuring stakeholders have reliable, self-serve access to the insights they need.

What you'll need

• Senior level of experience in data analytics with significant exposure to both marketing and commercial topics (pricing, travel product, finance…) and strong track record of influencing business decisions through data.
• Strong understanding of digital marketing channels, campaign performance measurement and attribution concepts as well as tracking technologies.
• Advanced SQL skills and solid proficiency with at least one BI tool (e.g. Tableau, Looker, or similar); experience with Python for statistical analysis is a strong plus.
• Strong data modeling fundamentals - you're confident designing data structures (facts, dimensions, marts) within a medallion data architecture, and understand how good modeling upstream translates into reliable, performant analytics downstream.
• Exceptional stakeholder management skills - you're comfortable navigating a diverse set of stakeholders, turning high-level briefs into structured analytical plans, clearly communicating roadblocks and potential trade-offs.
• Experience designing A/B tests and a strong grasp of statistical concepts such as significance testing, confidence intervals, and good experimental design.
• Familiarity with CRM platforms (e.g. Braze), and marketing data pipelines - you know how data moves from source to activation and where things can go wrong. Experience with CDPs is a strong plus.

What they offer

• Flexible working setup: full flexibility in Berlin based Hybrid model, office 2-3 days per week
• Access to internal and external tourism discounts, benefits and more
• Learning and Development focus: Coaching/Mentoring, Hackathons and 1500 euro dev budget
• Generous work from abroad offering - 5 months per year
• Employee Resource Groups (ERG) to connect with diverse communities
• Dog-friendly office