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- Tasks: Provide analytics consultancy to optimise pricing and yield capabilities across TUI.
- Company: Join TUI, a leader in travel with a focus on innovation and collaboration.
- Benefits: Attractive salary, bonuses, travel perks, health support, and flexible working.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Degree in analytics or related field; experience in data science and pricing challenges.
- Other info: Engage in global projects and community initiatives while shaping your career.
The predicted salary is between 36000 - 60000 £ per year.
As our Analytics Solutions Partner, you'll provide specialized analytics consultancy to optimize and develop price and yield capabilities across TUI. You'll provide consultancy across three key areas: end-to-end design of bespoke price and yield solutions, defining and implementing trials for new approaches, and analyzing price and yield data to enhance commercial performance. Working closely with digital solutions, multi-regional teams, and technology partners, you'll blend technical expertise with business acumen to ensure data drives effective decision-making and maximizes commercial outcomes.
About Our Offer
- Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.
- Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
- A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
- Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams.
- Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.
About The Job
You'll partner closely with digital solutions teams, multi-regional price and yield teams, and technology partners to create sophisticated end-to-end solutions that drive business value, while managing and influencing both technical and non-technical stakeholders across the organization. We'll look to you to structure complex problems and develop appropriate solutions using sophisticated algorithms while ensuring high levels of decision-making transparency and user control, finding the optimal balance between "good enough" and "too complex" solutions.
You'll design and implement business trials with clearly formulated hypotheses, defined success criteria, and effective test sampling, constructing test and control groups and making use of A/B tests where appropriate, then evaluating results using appropriate statistical models. Working with a "test and learn" mindset, you'll interrogate price and yield data to identify opportunities for improvement, engaging with stakeholders across multiple regions using data storytelling to highlight significant findings and expected benefits. Your communication skills will be put to good use as you tailor messages to meet stakeholder needs, breaking down complexity to a relatable level with effective data visualizations that communicate key points clearly.
The role involves prototyping solutions to validate methodology and effectiveness, while researching cutting-edge approaches to complex price and yield management and driving high levels of automation and technical excellence.
About You
You have a degree or equivalent experience in analytics, operational research, mathematics, or a subject involving similar analytical skills. You have experience in analytics, data science, or business intelligence, with specific focus on complex pricing or yield management challenges. You have experience with analyzing and manipulating data using Python, SQL or similar tools, along with experience in data visualization. You have a proven track record of delivering business value with analytical solutions in challenging commercial environments. Understanding intricate pricing and yield management principles across different product types and market conditions is part of your experience.
You possess effective problem-solving abilities coupled with an analytical mindset and excellent communication abilities to explain complex concepts to non-technical audiences. With your knowledge of statistical methods and data analysis techniques, you can manage analytics projects individually or as part of a wider team to meet tight deadlines. Experience working with complex price and yield systems in travel, hospitality, or related industries would be beneficial, as would experience in consulting or solutions-oriented roles. Previous experience in setting up and running effective business trials with measurable outcomes would be an advantage.
From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Analytics Solutions Partner employer: TUI Group
Contact Detail:
TUI Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Solutions Partner
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at TUI. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your analytics projects. This is your chance to demonstrate how you can add value to TUI's price and yield capabilities.
✨Tip Number 3
Get ready for interviews by practising common questions related to analytics and problem-solving. Use examples from your experience to showcase your expertise in pricing and yield management.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the TUI team.
We think you need these skills to ace Analytics Solutions Partner
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Analytics Solutions Partner. Highlight your experience in analytics, data science, and any specific projects related to pricing or yield management. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about analytics and how you can contribute to our team. Be sure to mention your experience with data storytelling and stakeholder engagement, as these are key for the role.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your proficiency in Python, SQL, and any data visualisation tools you’ve used. We love seeing candidates who can blend technical know-how with business acumen, so make it clear how you do this.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at TUI Group
✨Know Your Analytics Inside Out
Make sure you brush up on your analytics skills, especially in areas like pricing and yield management. Be ready to discuss specific tools you've used, like Python or SQL, and how you've applied them to solve complex problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've structured complex problems and developed solutions in previous roles. Think about times when you had to balance simplicity with complexity, and be ready to explain your thought process clearly.
✨Master the Art of Data Storytelling
Since communication is key, practice how you would present data findings to non-technical stakeholders. Use relatable examples and think about how you can use data visualisations to make your points clearer and more impactful.
✨Embrace a Test and Learn Mindset
Be prepared to discuss your experience with business trials and A/B testing. Highlight how you've formulated hypotheses, defined success criteria, and evaluated results using statistical models. This will show that you're not just analytical but also practical in your approach.