Senior Data Analyst (Sales & RevOps)

GetYourGuide; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Growth budget

Hybrid work model

30 days work-from-anywhere

Transport & fitness budget

GetYourGuide activity discounts

Language reimbursement

Health & wellness benefits

Zusammenfassung

GetYourGuide is seeking an analytics professional to partner with RevOps and Sales to drive data-driven decisions across the revenue funnel. The role focuses on forecasting, pipeline health, and performance analytics, guiding sales planning and incentive design.

You will collaborate with Sales, RevOps and Finance to build dashboards, models, and KPIs while promoting a hypothesis-driven testing culture in a global, hybrid Berlin environment.

Qualifikationen

• 5+ years of analytics/sales ops/data science experience.
• Strong SQL and Python proficiency.
• Experience with Salesforce and sales funnel forecasting.
• Excellent communication and stakeholder management.
• Ability to translate data into actionable business insights.

Aufgaben

• Develop quantitative analysis to drive sales strategy, forecasting, and pipeline decisions.
• Collaborate with sales, RevOps, and Finance to understand end-to-end revenue cycle.
• Design data models, dashboards, and KPIs for territory planning and quota setting.
• Promote hypothesis-driven testing of sales plays and incentives.
• Provide insights to prioritise opportunities and improve conversion.
• Partner with leadership to guide revenue strategy.

Kenntnisse

SQL

Python

Sales analytics

Forecasting

Stakeholder mgmt

Tools

Salesforce

Looker

Tableau

Jupyter

LLM APIs

Jobbeschreibung

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.

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

We’re an equal opportunities employer

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 …