At a Glance
- Tasks: Transform complex data into clear insights and support key commercial projects.
- Company: Join Awaze, Europe's largest managed vacation rentals and holiday resorts business.
- Benefits: Enjoy a competitive salary, annual bonus, 25 days holiday, and hybrid working.
- Other info: Collaborate with diverse teams and enjoy excellent career growth opportunities.
- Why this job: Be part of an ambitious AI transformation in the travel industry.
- Qualifications: Analytical mindset, strong SQL skills, and a degree in Maths or Statistics preferred.
The predicted salary is between 37800 - 46200 £ per year.
The way people discover and book holidays is changing, and we're rebuilding our technology for what comes next. We are Awaze, Europe’s largest managed vacation rentals and holiday resorts business, bringing together some of the continent’s most recognised travel brands, including cottages.com, Hoseasons, NOVASOL and James Villa Holidays. With more than 1.5 million bookings every year, 100,000+ properties and customers across Europe, we already operate at serious scale. But the next chapter for Awaze is about much more than scale. We’re embarking on an ambitious AI transformation that will reshape how our customers discover, plan and book their holidays, and how our engineering teams build the technology behind those experiences. Our strategy spans AI-powered search, natural-language discovery, intelligent recommendations, richer property data and AI-assisted engineering, all underpinned by a platform built around speed, trust, quality and real-time data.
The Role
Working with our Chief Data Officer, you will act as an internal data & insights consultant across the business turning complex, often ambiguous business questions into clear insights and actions, whilst also being embedded into key commercial projects across Revenue, Marketing, Product, and Finance. A high-visibility data analytical role, you will collaborate closely with the CDO's wider team (Data Engineering, Data Science, and Business Intelligence), acting as a bridge between the data function and the business, knowing when to self-serve and when to draw on specialist capability.
What you'll do day-to-day:
- Commercial project support: Analytical horsepower on priority initiatives including (but not limited to) pricing, demand, segmentation, owner acquisition.
- Ad-hoc analysis: Rapid-turnaround answers to questions from the CDO and senior leadership.
- Cross-team collaboration: Working with Data Engineering, Data Science, and BI to ensure insight lands with the right infrastructure and rigour behind it.
- Stakeholder communication: Clear, concise outputs for non-technical audiences up to C-suite.
What we're looking For:
- Analytical mindset: Pattern recognition, sharp follow-up questions, and a restless curiosity, you find the insight others miss.
- Commercial instinct: You know data only matters when it drives a decision.
- SQL: Strong, confident querying of large datasets.
- Excel: Model-building, scenario analysis, outputs that speak for themselves.
- AI tools: Comfortable with Claude, Copilot, and curious about what's next.
- Collaboration: Equally effective working independently or alongside engineering, science, and BI teams.
- Communication: Concise by default, credible with senior stakeholders.
- Experience: Gained within a commercial or consumer business. Travel, e-commerce, or marketplace a plus.
- Education: a Degree in Maths | Statistics is preferred.
What will we offer you?
- Annual Bonus Scheme
- 25 days holidays (plus the option to buy an unlimited number of additional days)
- Holiday Discounts (across all AWAZE brands)
- Pension contribution scheme
- Private healthcare
- Personal training allowance via Sunlight
- 35 hour working week
- Hybrid working (we work 2 days in our Manchester office every week, with 3 days working from home)
If you're interested in transforming the industry and reinventing how our technology powers everyday amazing holidays, please send your profile to and let's chat today.
Locations
Data Insight Analyst in Cheshire, Warrington employer: Awaze
Awaze is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the travel industry. With a strong focus on employee growth and development, you will have access to unique opportunities to lead cross-functional teams and shape the future of ancillary revenue. Located in a vibrant environment, Awaze offers competitive benefits and a collaborative atmosphere that values creativity and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst in Cheshire, Warrington
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We think you need these skills to ace Data Insight Analyst in Cheshire, Warrington
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Awaze. 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 Awaze
✨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!
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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 Awaze!
✨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.
