At a Glance
- Tasks: Drive innovative strategies to maximise revenue and shape business growth in the travel industry.
- Company: Join a forward-thinking company that values collaboration and personal growth.
- Benefits: Enjoy competitive salary, generous holiday allowance, and unique perks like discounted holidays.
- Other info: Collaborative culture with opportunities for career advancement and personal development.
- Why this job: Make a real impact in the travel sector while developing your skills in a dynamic environment.
- Qualifications: Strong analytical skills, experience in data modelling, and knowledge of pricing strategies.
The predicted salary is between 50000 - 65000 £ per year.
Our team is the driving force behind our role as our customers' personal holiday expert - the smart way to get away.
We're using progressive tech to drive cutting-edge innovation and open the world to everyone.
Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path.
You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams.
The Revenue Management team is responsible for maximising final margin and driving sustainable growth by strategically managing key commercial levers, including pricing, payment plans, and cancellation terms.
Reporting to the Head of Pricing & Revenue Management, you will develop and implement data-led strategies that balance growth and profitability across trillions of potential package combinations.
You will also help develop highly scalable revenue management capabilities to drive long-term commercial success.
Driving actionable insight from internal performance trends across key metrics (including Margin Per Transaction, Conversion Rate, and Trading Margin), diagnosing underlying drivers.
Collaborating with other commercial teams to identify and influence broader trading opportunities, such as merchandising.
Partnering with Product, Engineering, and Data Science to architect and build best-in-class, configurable pricing and packaging systems.
Communicating performance updates and strategic recommendations clearly to senior stakeholders.
Highly numerate with strong commercial and financial acumen.
Strong analytical skills with experience in data modelling and presenting complex analysis to support recommendations.
Knowledge of travel industry offerings, pricing approaches, and commercial strategies.
Data visualisation (Looker)
SQL (our stack is based around Big Query) Coding (Python, Github) Knowledge of statistics and experiment design.
1st stage with Head of Pricing & Revenue Management - 45 mins 2nd stage with key stakeholders including a task to present, in office Final stage with Chief Data Officer - 30 mins
Perks of joining us
~ Company pension contributions at 5%.
Individualised training budget for you to learn on the job and level yourself up.
Discounted holidays for you, your family and friends. 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
Ability to buy and sell annual leave.
Cycle to work scheme, season ticket loan and eye care vouchers.
Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams.
StudySmarter Expert Advice🤫
We think this is how you could land Yield Manager in Bristol
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like loveholidays!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Yield Manager in Bristol
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at loveholidays, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at loveholidays
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with loveholidays’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
