Senior Data Analyst (Sales & RevOps)
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
Change the way the world travels
Join the GetYourGuide 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.
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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 getyourguide.careers to take the first step.
Team mission
The Analytics department's mission is to enable the organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel, from exploration through recommendations to impact measurement and take pride in the insights we generate.
In this analytics role, you will be a key partner to the RevOps and Sales organization, helping leaders and reps make sharper, faster decisions across the full revenue funnel. You will tackle complex and ambiguous questions, helping to quantify pipeline health, forecast performance, and build the business case for go-to-market initiatives. A major part of your role will be to guide the sales planning and execution cycle through rigorous analysis, from territory and quota design to performance tracking and the delivery of recommendations.
You will play a crucial part in providing the insights needed to prioritize opportunities, evaluate rep and channel effectiveness, and create a more efficient, data-driven sales motion.
Your mission
- Develop quantitative analysis to drive sales strategy, forecasting, and pipeline decisions.
- In collaboration with sales leadership, identify growth opportunities, bottlenecks, and risks across the funnel.
- Collaborate with Sales, RevOps, and Finance leads to develop a comprehensive understanding of the end-to-end revenue cycle.
- Design and implement data models, dashboards, and KPIs to guide territory planning, quota setting, and team performance.
- Contribute to a learning and experimentation culture by promoting hypothesis-driven testing of sales plays, incentives, and processes.
- Answer the big questions to push our understanding of what drives sales performance and customer conversion.
- Contribute to the strategic thinking of the team by being a thought partner to Sales and Revenue leadership.
Your toolkit
- 5+ years of relevant experience interpreting data in an analytics, sales operations, or data science role.
- Excellent stakeholder management & communication skills, including presenting to senior sales leadership.
- Strong knowledge of SQL and Python.
- Strong experience with sales funnel, pipeline, and forecasting analysis, ideally in Salesforce.
- Strong statistical background and proficiency with advanced methods (e.g. cohort analysis, forecasting models, causal inference, or quasi-experimentation).
- Ability to understand rep and customer behavior and the meaning behind the numbers, translating them into actionable insights.
- Practical, solution-oriented mindset with a focus on driving revenue and business impact.
- Desire to work in an international environment, with minimal direction in ambiguous situations and with highly engaged individuals.
Extras that give you an edge
- Experience working with CRM systems (e.g. Salesforce) and processing large-scale sales/event data.
- Familiarity with sales forecasting models or compensation/incentive design is a plus.
- Experience with data visualization and reporting tools (e.g. Looker, Tableau, Jupyter Notebooks).
- Experience with revenue attribution and financial modeling.
- Experience with LLM APIs (OpenAI, Gemini, Anthropic).
How we’ll make your career journey extraordinary
- 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 GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
And more…
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How to apply
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 GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
We’re an equal opportunities employer
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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.
#LI-Hybrid
What this role asks for
Particular to this role
Jupyter · Looker · Salesforce · Tableau
Rare in GetYourGuide's other 29 open postings.
Standard for data / BI analysis roles
Python · SQL
Common in data / BI analysis postings at any company.
83% of this description is written for the role. The rest is GetYourGuide's standard text, folded away below.
Read against GetYourGuide's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 19 open in Engineering. 10 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (9 of 19), Java (6 of 19), Kubernetes (6 of 19), SQL (5 of 19), AWS (4 of 19), GraphQL (4 of 19), JavaScript (4 of 19)
OTHER ROLES ON THIS TEAM
- Senior Security GRC Manager posted Oct 15
- Engineering Manager, Agentic Platform posted Oct 15
- Senior Software Engineer (Backend focused) - User Platform posted Oct 14
- Product Analytics Manager, Travelers posted Oct 13
- Engineering Manager, User Platform posted Oct 9
- Senior Site Reliability Engineer, Infrastructure posted Oct 7
- Senior Backend Engineer posted Oct 6
- Senior Software Engineer (Backend focused) posted Oct 6
- Senior Data Engineer, Growth Data Engineering posted Oct 1
- Engineering Manager, Partner Tech posted Sep 23
- Working Student, Security Engineer posted Sep 17
- Senior Data Scientist, Central Data Products posted Sep 15
- Senior Software Engineer, GraphQL - API Platform posted Sep 10
- Senior Data Science Manager, Central Data Products posted Aug 12
- Senior Software Engineer (Backend focused) - Supply posted Aug 7
- Engineering Manager, Infrastructure - Infrastructure Platform posted May 27
- Staff Data Scientist, Growth Data Products posted Mar 27
- Senior Engineering Manager, AI Platform posted Dec 29
From the team and dates on GetYourGuide's own job board.
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