Senior Data Analyst, Customer Care Analytics

3 мес. назад

GermanyEuropeSenior

data analysismeasurement frameworks

Lead strategic analytics for the Customer Care team to inform decisions, policies, and investments.

Обязанности

Own the analytical problems that matter most for Care — define and drive the strategic Care analytics backlog and turn it into recommendations that shape priorities, policies, and investments.
Build the measurement frameworks Care relies on — create and evolve metrics, models, and dashboards that make efficiency, friction, and outcomes measurable and self-serve.
Deliver deep-dive modeling that unlocks step-change decisions — quantify drivers and trade-offs behind contacts, refunds, CSAT, and channel performance, including LTV-aware policy logic.
Be Care's analytical voice across the company for Travelers, Suppliers and Partners — turn what Care learns from travelers into insights Product, Marketing, and Operations can act on, aligned with On-Trip and Destination growth strategy.
Champion hypothesis-driven decision-making — raise the bar on rigor, evaluation, and impact measurement so Care decisions are consistently defensible and outcome-driven.

Как откликнуться

Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at ’. If you have any further questions, please don’t hesitate to get in touch at jobs@.com .

Другое

Join the journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours. 
Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to  .careers to take the first step.
In this analytics role, you will be the key analytical partner to Customer Care — the team that supports travelers when things don’t go as planned and protects trust in the experience. You will work closely with Care leadership, Product, and the broader Analytics organization to ensure Care’s biggest decisions are grounded in rigorous measurement and clear trade-offs.
Care is inherently cross-domain: it spans Traveler (On-Trip), Supplier, and Partner Operations. You’ll be embedded enough to build context and influence, while staying anchored in Analytics to uphold standards, peer review, and alignment with company-wide metrics.
5+ years of relevant experience interpreting data in an analytics or a data science role
Production-grade SQL and strong working knowledge of Python (e.g., notebooks, modeling, analysis workflows).
Experience with experimentation (statistics, assumptions, and evaluation).
Strong statistical background and proficiency with advanced statistical methods (e.g. causal inference methods, difference-in-differences, regression analysis, propensity score matching)
Strong stakeholder management and the ability to operate with senior leaders in a high-context, ambiguous environment.
Proven ability to turn messy questions into structured analysis, crisp narratives, and decisions with measurable business impact.
Strong customer mindset: you understand user behavior and the “why” behind the numbers.
Excellent communication skills — you can influence without authority and align teams around shared metrics and priorities.
Experience with data visualization and reporting tools (e.g., Looker, Jupyter Notebooks).
Experience working in Customer Care within a marketplace.
Familiarity with ETL/orchestration tools (e.g., Airflow) and/or big data tooling (e.g., Spark, Hive).
Experience working in agile product teams and cross-functional mission setups.
Exposure to LLM APIs (OpenAI, Gemini, Anthropic), especially for operational tooling or workflow augmentation.
Experience mentoring or managing analysts.
Annual personal growth budget and mentorship programs for continuous learning and development
Work from anywhere in the world for 30 days per year
A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
Monthly transportation and fitness budget
Discounts for you, your friends, and family on activities
Language reimbursement program
Health and wellness benefits
And more…
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. 
 
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