Senior Data Analyst, Product & Marketing

GetYourGuide; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A dynamic travel technology company in Berlin is seeking an experienced analytics professional to drive product and marketing decisions through data insights. The ideal candidate will have 5 years of relevant experience, proficiency in SQL and Python, and excel in stakeholder collaboration. This role offers a hybrid work model, allowing for flexible work arrangements and continuous personal growth opportunities.

Leistungen

Annual personal growth budget

Work from anywhere for 30 days a year

Monthly transportation and fitness budget

Health and wellness benefits

Qualifikationen

• 5 years of relevant experience interpreting data in an analytics or data science role.
• Excellent stakeholder management & communication skills.
• Strong statistical background and proficiency with advanced statistical methods.

Aufgaben

• Develop quantitative analysis to drive product and marketing decisions.
• Collaborate with Products and Engineering leads to develop a comprehensive understanding of end-to-end product experience.
• Design and implement data models, metrics and visualizations to guide the team's strategy and success.

Kenntnisse

SQL

Python

Databases

Data Analytics

Data Visualization

Tools

Power BI

Tableau

SAS

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 take the first step.

Team mission

The Analytics departments 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 product teams that build the foundational cross‑cutting components of our marketplace. You will tackle complex and ambiguous questions helping to quantify the impact of new features and build the business case for strategic initiatives. A major part of your role will be to guide the product development lifecycle through rigorous experimentation from opportunity sizing and hypothesis generation to impact analysis and the delivery of recommendations. You will play a crucial part in providing the insights needed to prioritize opportunities, evaluate end‑to‑end impact and create a more cohesive and optimal experience for our customers and suppliers worldwide.

Your mission

• Develop quantitative analysis to drive product and marketing decisions.
• In collaboration with stakeholders identify opportunities and dependencies.
• Collaborate with Products and Engineering leads to develop a comprehensive understanding of end‑to‑end product experience.
• Design and implement data models, metrics and visualizations to guide the teams strategy and success.
• Support the technical teams in tracking and producing more insightful data.
• Contribute to the learning and experimentation culture of the company by promoting hypothesis‑driven development and evaluation.
• Answer the big questions to push our knowledge of our customers further.
• Contribute to the strategic thinking of the team by being a thought partner to the Product Managers.

Your toolkit

• 5 years of relevant experience interpreting data in an analytics or data science role
• Excellent stakeholder management & communication skills.
• Strong knowledge of SQL and Python
• Strong experience designing and analyzing product experiments
• Strong statistical background and proficiency with advanced statistical methods (e.g. difference‑in‑differences, causal inference or quasi‑experimentation)
• Ability to understand user behaviour and the meaning behind the numbers and translate them into actionable insights
• Systems‑oriented thinking ability to connect the dots between multiple parts of the business in order to understand overall customer experience.
• Practical solution‑oriented mindset with a focus on driving customer 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

• Broad experience as a generalist across multiple analytics domains (eg. product and marketing etc).
• Experience processing event tracking data at scale.
• Familiarity with machine learning evaluation or model‑driven personalisation is a plus.
• Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks)
• Experience with attribution and financial modelling.
• Experience with LLM APIs (OpenAI Gemini Anthropic).

How well 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 Thu) 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

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 dont hesitate to get in touch at [email].

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 picture and age with your application.

#LI‑Hybrid

Required Experience :

Senior IC

Key Skills

Databases, Data Analytics, Microsoft Access, SQL, Power BI, R, Tableau, Data Management, Data Mining, SAS, Data Analysis Skills, Analytics

Employment Type: Full Time

Experience: years

Vacancy: 1