At a Glance
- Tasks: Support the implementation of a 6-month booking horizon and enhance customer experience.
- Company: Join CrossCountry, a forward-thinking company revolutionising rail travel.
- Benefits: Enjoy hybrid working, free rail travel, and a pension scheme.
- Other info: Diverse and inclusive workplace with opportunities for personal growth.
- Why this job: Make a real impact on passenger journeys and drive sustainable growth.
- Qualifications: Analytical skills, excellent communication, and proficiency in Microsoft Excel required.
The predicted salary is between 36900 - 45100 £ per year.
- Reservations and Systems Analyst
- Location –
- Birmingham (Hybrid)
- Salary –
At Cross Country, we're on a mission to evolve rail travel.
As our new Reservations and Systems Analyst, you'll play a key role in shaping the future of travel by supporting in the implementation and maintenance of a 6-month booking horizon within the reservation system, allowing customers to book further in advance to enhance the customer experience while driving sustainable business growth.
As Reservations and Systems Analyst, you'll be at the forefront of our commercial strategy - playing a vital role in growing and enhancing passenger journeys that drive sustainable business growth.
This is your opportunity to make a tangible impact with a real influence.
What you'll be doing
- Supporting with the implementation and maintenance of a 6-month booking horizon within the reservation system.
- Provide support for management of all aspects of the reservation system, including ensuring all train management is completed to the highest standard through ensuring that all data inputs and outputs are accurate.
- Work with the Revenue Management Team to review and refine dashboards and analytical queries.
- Consult with system suppliers to answer questions and documenting these answers to improve wider team knowledge and maintain own subject matter expert status.
- Work with system suppliers to scope relevant improvements, alongside the Revenue Growth Manager and the Revenue Management Systems Manager.
What we’re looking for
Essential
- A dynamic and positive individual with the enthusiasm for getting to grips with complex issues.
- Able to apply analytical skills to the rail business environment.
- Excellent communicator and ability to work alone or as part of a team.
- Ability to work to tight deadlines.
- Data-driven mindset with strong analytical and reporting skills.
- Good understanding of Microsoft Excel.
Desirable
- Good understanding of revenue management concepts, theories and techniques
- Knowledge of the S3 Reservation System
- Knowledge of SQL
- Experience using Power BI and/or Microsoft Fabric
- Knowledge of the Cross Country business and the wider rail industry
Employee benefits
- Hybrid working arrangement
- Employee Assistance Programme
- Free Rail Travel on all Cross Country and Arriva owned train companies.
- Discounted travel on UK and European trains.
- Pension Scheme
- Cycle to Work Scheme
We believe in the power of diversity and inclusion and are committed to building a workforce that reflects the varied backgrounds, experiences, and perspectives of our society.
Your unique talents are welcomed here, and we encourage applications from all backgrounds.
Closing date for applications
22nd September 2026
Did you know you can set up alerts for new job opportunities?
Simply navigate to 'My Job Alerts' in the Jobs Hub to get started.
#J-18808-Ljbffr
Reservations and Systems Analyst in Birmingham employer: Whereby
At CrossCountry, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility, while our commitment to employee growth is evident through comprehensive training and development opportunities. With unique benefits like free rail travel and a focus on diversity and inclusion, we create an environment where every team member can thrive and make a meaningful impact in the rail industry.
StudySmarter Expert Advice🤫
We think this is how you could land Reservations and Systems Analyst in Birmingham
✨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 Whereby!
✨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 Reservations and Systems Analyst at Whereby.
✨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 Whereby.
✨Apply Directly through Our Website
When you find a suitable opening like Reservations and Systems Analyst at Whereby, 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 Reservations and Systems Analyst in Birmingham
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 Whereby, 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 Whereby. 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 Whereby
✨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 Whereby!
✨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.
