Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive hotel optimisation through data analysis and creative solutions.
- Company: Join Amex GBT, a leader in business travel innovation.
- Benefits: Flexible working, competitive perks, and extensive learning opportunities.
- Why this job: Make a real impact in the travel industry while developing your skills.
- Qualifications: 5+ years in data science, strong SQL and programming skills required.
- Other info: Be part of a diverse global team with exciting career growth.
The predicted salary is between 36000 - 60000 £ per year.
Amex GBT is a place where colleagues find inspiration in travel as a force for good and – through their work – can make an impact on our industry. We’re here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued.
Our Hotel business is growing and we are seeking to expand the Hotel Optimization team at Amex GBT. This critical position will create something new by combining analytical skills, technical capabilities with creativity and vision for opportunities, directly impacting the bottom line. Being part of a global team, this position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join AMEX GBT, as we define the future of business travel as we lead the industry into a new era.
What you will do, responsibilities and competencies:- Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them
- Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques
- Strive to continuously refine and improve optimization models through A/B testing or test/control frameworks designed and built from scratch
- Lead strategic and quantitative analysis to support key business decisions and help chart the course for optimizing our hotel supply
- Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language)
- Build and maintain API connectivity using Json automation/Python
- Create new tools and data visualization using PowerBI or Tableau
- Build-up and lead a new team and function within hotel optimization
- Bachelor’s in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master’s preferred
- Min. 5 years work experience as Data Scientist with focus on problem solving in a commercial environment.
- Strong SQL skills, with ability to write SQL from scratch, good understanding of databases
- Strong experience using Tableau or Power BI to pull data from various sources, develop and publish automated reports and dashboards.
- Experience with at least one programming language (Python/R)
- Good communication skills with passion for storytelling, bringing data to life
- Experience managing a team would be an asset, but not required
- Learning and development opportunity.
- Mentoring program.
- Flexible home working option.
- Competitive benefits.
- Diverse team that is globally based.
All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
Hotel Optimization Manager employer: American Express Global Business Travel
Contact Detail:
American Express Global Business Travel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hotel Optimization Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how your skills align with their goals. This will help you stand out and show that you're genuinely interested in being part of the team.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of your past experiences and how they relate to the role. This will help you convey your value and make a memorable impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Hotel Optimization Manager
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you can combine creativity with data-driven insights, especially when it comes to identifying revenue opportunities.
Tailor Your Experience: When writing your application, tailor your experience to match the job description. Focus on your background in data science and any relevant projects that showcase your problem-solving abilities in a commercial environment.
Be Clear and Concise: Keep your application clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly related to the role of Hotel Optimization Manager.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity within our growing team.
How to prepare for a job interview at American Express Global Business Travel
✨Know Your Data
As a Hotel Optimization Manager, you'll be working with data daily. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles to drive revenue opportunities or optimise processes.
✨Showcase Your Creativity
This role requires a blend of analytical skills and creativity. Prepare examples of how you've implemented creative solutions in previous positions. Think about specific projects where your innovative thinking led to successful outcomes.
✨Prepare for Technical Questions
Expect technical questions related to data science and analytics. Review concepts around A/B testing, data visualisation tools like Tableau or Power BI, and any relevant frameworks you've used. Being able to explain your thought process will impress the interviewers.
✨Communicate Effectively
Good communication is key, especially when it comes to storytelling with data. Practice explaining complex data insights in simple terms. This will demonstrate your ability to convey important information to stakeholders who may not have a technical background.
