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For Companies At a Glance
- Tasks: Use data to optimise marketing strategies and enhance travel brand performance.
- Company: Leading travel tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, exciting travel perks, and comprehensive benefits.
- Why this job: Join a dynamic team and make a real impact in the travel industry.
- Qualifications: Degree in a relevant field with strong SQL and programming skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading travel technology company in the United Kingdom seeks a Data Scientist II in Marketing Analytics to optimize capital allocation for various travel brands. The role requires strong SQL and programming skills (Python/R) along with marketing analytics expertise.
You will work with cross-functional teams, improve campaign planning through insights, and contribute to a data-driven culture. Candidates should hold a relevant degree and exhibit strong analytical problem-solving skills.
Competitive benefits are offered, including exciting travel perks.
Marketing Analytics Data Scientist II — Drive Insights in London employer: Traveltechessentialist
Contact Detail:
Traveltechessentialist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Data Scientist II — Drive Insights in London
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that Data Scientist II role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and programming projects, especially those related to marketing analytics. This will help us see your expertise in action and how you can drive insights for our brands.
✨Tip Number 3
Prepare for the interview by brushing up on your analytical problem-solving skills. Think of real-world examples where you've optimised campaigns or improved data processes. We love hearing about your hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to contribute to a data-driven culture.
We think you need these skills to ace Marketing Analytics Data Scientist II — Drive Insights in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and programming skills in Python or R. We want to see how you can use these tools to drive insights and optimise capital allocation for travel brands.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience in marketing analytics and how it aligns with the role. We love seeing candidates who understand our needs.
Be Data-Driven: Since we’re all about data, include examples of how you've used data to solve problems or improve campaign planning in your previous roles. Show us your analytical problem-solving skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any exciting travel perks!
How to prepare for a job interview at Traveltechessentialist
✨Know Your SQL and Programming Inside Out
Make sure you brush up on your SQL and Python/R skills before the interview. Be prepared to discuss specific projects where you've used these languages to derive insights or solve problems, as this will show your technical prowess.
✨Understand Marketing Analytics Fundamentals
Familiarise yourself with key marketing analytics concepts and metrics. Be ready to explain how you've applied these in past roles, especially in optimising capital allocation for campaigns. This will demonstrate your relevance to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of analytical challenges you've faced and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical problem-solving skills effectively.
✨Emphasise Team Collaboration
Since you'll be working with cross-functional teams, think of instances where you've successfully collaborated with others. Discuss how you communicated insights and contributed to a data-driven culture, as this is crucial for the role.
