At a Glance
- Tasks: Lead customer and commercial analytics to drive insights and recommendations.
- Company: Join a global travel company enriching lives through unforgettable journeys.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on curiosity and innovation.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience in customer analytics and strong analytical skills required.
The predicted salary is between 40500 - 49500 £ per year.
Location: London, UK or Los Angeles, California
Salary: Competitive
Working Pattern: Hybrid
Contract Type: Permanent
Working Hours: Monday to Friday
At TTC, we are Enriching lives by connecting people and places. For over 100 years, we’ve been bringing the world closer together by crafting journeys that create lasting memories, lifelong friendships and meaningful cultural connections. Across more than 70 countries and our award-winning brands, we design and deliver travel experiences that go beyond sightseeing - they change perspectives. Behind every unforgettable journey is a passionate team making it happen. That’s where you come in.
Our Values
- Value Every Voice. We put people first.
- Act with Integrity. We do what is right.
- Explore Beyond Boundaries. We are driven by curiosity.
- Own the Outcome. We take responsibility for our decisions.
- Succeed Together. We have each other's backs.
The Role
How well we understand our customers shapes almost every commercial decision we make. This role leads that understanding, developing customer and commercial insight across rich booking, behavioural, marketing, digital and product data. You will move the organisation beyond reporting towards genuine diagnosis: why performance is changing, what is driving customer behaviour and where we should act. It brings together customer insight, commercial thinking and real stakeholder influence, with a team of analysts to lead and develop. Senior leaders will look to you for the answer, and for the recommendation that follows it.
What Will You Do?
- Lead customer and commercial analytics across priority business questions and strategic initiatives.
- Turn complex data into clear perspectives on customer behaviour, growth opportunity and performance.
- Develop analytical approaches across segmentation, customer journeys, conversion, retention and value.
- Move the organisation from descriptive reporting towards diagnostic and predictive insight.
- Translate ambiguous business challenges into structured questions and testable hypotheses.
- Build evidence-led recommendations that senior stakeholders act on.
- Set consistent definitions and frameworks for key customer and commercial measures.
- Partner with Data Science on opportunities that need advanced modelling or experimentation.
- Work with Data Product and Engineering to improve analytical data and self-service capability.
- Lead and coach analysts, raising standards in both methodology and storytelling.
About You
Essential
- Significant experience in customer insight, customer analytics, commercial analytics or a similar insight-led role.
- Strong experience with complex customer, transactional, loyalty, digital or behavioural data.
- Strong analytical capability, including SQL and modern BI and visualisation tools.
- A track record of turning analysis into decisions and measurable commercial outcomes.
- Strong understanding of segmentation, customer behaviour and commercial performance drivers.
- Excellent data storytelling and executive communication.
- Experience leading analysts and raising analytical standards.
- Commercial judgement and the confidence to challenge senior stakeholders constructively.
Desirable
- Experience using AI to deliver insight faster and encouraging AI self-service among colleagues.
- Experience with experimentation or test-and-learn programmes.
- Exposure to Snowflake or another modern cloud data platform.
- Experience in a global, multi-brand or multi-market business.
- Curiosity about travel, hospitality or global consumer businesses.
If you want your insight to change what a global travel business actually does, we would like to hear from you. Apply today, and tell us about a piece of analysis that changed a decision.
Insight and Analytics Lead employer: The Travel Corporation
The Travel Corporation is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities while enjoying the flexibility of a hybrid work environment. Join us to be part of a team that values your contributions and supports your professional journey in enhancing our financial systems.
StudySmarter Expert Advice🤫
We think this is how you could land Insight and Analytics Lead
✨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 The Travel Corporation!
✨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 Insight and Analytics Lead at The Travel Corporation.
✨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 The Travel Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Insight and Analytics Lead at The Travel Corporation, 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 Insight and Analytics Lead
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 The Travel Corporation, 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 The Travel Corporation. 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 The Travel Corporation
✨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 The Travel Corporation!
✨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.
