Travel Revenue Analytics & Deals Analyst in London

Travel Revenue Analytics & Deals Analyst in London

London Full-Time 35983 - 43979 £ / year (est.) On-site
Global Business Travel Group

At a Glance

  • Tasks: Maximise revenue and support global deals through insightful analysis.
  • Company: Join Amex GBT, a leader in travel management.
  • Benefits: Competitive salary, flexible working, and opportunities for growth.
  • Other info: Skills in SQL, Power BI, and AI are a plus.
  • Why this job: Make an impact in a dynamic international environment.
  • Qualifications: Experience in analytics with strong commercial acumen required.

The predicted salary is between 35983 - 43979 £ per year.

Amex GBT is looking for an analyst to maximise revenue and support deals on a global level. Your role will involve analysing metrics, preparing insights, and supporting supplier proposals while working with regional and global teams.

Required experience includes:

  • Experience in an analytical role
  • Strong commercial acumen
  • Ability to communicate with management and manage stakeholders

Additional skills:

  • SQL
  • Power BI
  • AI

Flexibility and the ability to work in an international environment are also welcomed.

Travel Revenue Analytics & Deals Analyst in London employer: Global Business Travel Group

Global Business Travel Group is committed to fostering an inclusive and collaborative culture where employees can thrive. With a focus on innovation and strategic initiatives, the company provides ample opportunities for professional growth and development.

Global Business Travel Group

Contact Details:

Global Business Travel Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Travel Revenue Analytics & Deals Analyst in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Global Business Travel Group!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Travel Revenue Analytics & Deals Analyst at Global Business Travel Group.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Global Business Travel Group.

✨Apply Directly through Our Website

When you find a suitable opening like Travel Revenue Analytics & Deals Analyst at Global Business Travel Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Travel Revenue Analytics & Deals Analyst in London

Analytical Skills
Commercial Acumen
Stakeholder Management
Communication Skills
SQL
Power BI
AI

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Global Business Travel Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Global Business Travel Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Global Business Travel Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Global Business Travel Group!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.