At a Glance
- Tasks: Drive data strategy for Search & Personalisation, enhancing user experience through analysis and experimentation.
- Company: Join On the Beach, a leading online holiday specialist transforming travel experiences.
- Benefits: Enjoy 25 days holiday, discounts on trips, and access to professional development resources.
- Other info: Flexible working hours and hybrid model, with vibrant team culture and growth opportunities.
- Why this job: Be a key player in shaping the future of travel with innovative data solutions.
- Qualifications: Expertise in SQL, search algorithms, and data visualisation required.
The predicted salary is between 63000 - 77000 £ per year.
We’re On the Beach!
Since 2003, we've been rewriting the rules of how people discover, book, and experience their perfect getaway.
What started as connecting people to short-haul beach holidays has evolved into something much bigger - premium beach destinations, long-haul adventures, and vibrant city breaks – and that’s just the beginning of our story.
We send around two million holidaymakers on their dream breaks every year. And we're still growing.
Powered by our deep-rooted entrepreneurial spirit, proprietary tech, curiosity and our incredible people, we’re accelerating - delivering best in class technology, the ultimate holiday app, and experiences that keep our customers coming back for more.
Ready to build the future of travel with us?
About The Role
As a Senior Data Analyst, your primary mission is to drive the data strategy for our Search & Personalisation product squad, diving deep into search intent, algorithmic performance, and personalisation logic.
In this position, you’ll be a strategic partner throughout the product development journey, moving beyond simple reporting to spark ideas, shape hypotheses on search relevancy, and define success metrics for search performance.
You’ll bring data to life, challenging assumptions and driving continuous improvement through rigorous A/B testing and experimentation of search results and recommendations.
As a senior member of the analytics function, you’ll act as a role model within the team, sharing best practice and mentoring others through example, while staying focused on delivering excellence within the Search & Personalisation domain.
- What You’ll Be Doing Day To Day
- Acting as the go-to technical expert for the Search domain, specialising in search relevancy, zero-result analysis, and personalisation logic.
- Contributing to best practice within the team, sharing standardised technical approaches where useful, and supporting a best-in-class data environment.
- Writing expert-level SQL queries via Google Big Query and Notebooks to derive complex insights, focusing on query performance and user retrieval patterns.
- Collaborating regularly with Product and Engineering Managers to help them track the metrics that matter, and help them understand how their products and features are performing.
- Collaborating with researchers to interpret qualitative data, piecing together the full picture of the customer holiday researching journey to bridge the gap between user intent and search results.
- Creating and configuring advanced dashboards to effectively report Search KPIs (CTR, Ranking Position, Zero-Results) for decision making.
- Designing and interpreting A/B tests across search and personalisation, identifying what’s worth testing and making evidence-based recommendations on what the team should test next.
- Leading complex investigations with a methodical, best-practice approach to ensure high-quality output.
You’ll be a great addition to our team if you have the following skills, knowledge and experience
As an advocate for a data-informed mindset, your mission is to elevate the culture of data analysis and experimentation to new heights.
We are looking for an individual with a curious and problem-solving mindset, accompanied by a strong passion and eagerness to learn all aspects of working with data-ranging from hands-on experience with technical ETL pipelines to engaging in strategic discussions about how we make our user experience more relevant for individual users.
The ability to embrace customer centricity, stepping into the shoes of our customers, is not just encouraged but essential for success in this role.
- Expert SQL Proficiency: Comfortable writing complex, efficient queries to handle large datasets in Big Query.
- Search & Personalisation Experience: Strong working knowledge of analysing the performance of search algorithms, recommendation engines, and personalisation models.
- Technical Analysis & Statistics: Strong technical skills in data analysis and statistics, particularly in evaluating ranking quality.
- Data Visualisation: Proficiency in data visualisation tools (e. g. Looker / Looker Studio).
- Storytelling: Comfortable storytelling with data to influence product roadmaps.
- A/B Testing & Experimentation: Experience designing tests, interpreting significance and results, and recommending what the team should test next.
- What To Expect From Our Interview Process
We’ll run a 3 stage interview process, one stage of which may be an in-person interview at our fabulous Aeroworks office in Manchester city centre.
after a call with our Talent Team, the interview process will be
- 1st stage - 1 hour with the hiring Manager on Google Meets
- 2nd stage - 1 hour with 2 Senior Analysts for a technical discussion on Google Meets
- 3rd stage - 1 hour with the Hiring Manager & Senior Product Manager for a technical presentation in person
We want to make sure everybody has the opportunity to perform at their best.
If you require any reasonable adjustments during the interview process please let the Talent Acquisition team know and they will be happy to assist.
Ways of working
Our full time hours are 37.5 per week, but we don't have rigid working hours so you can find the working pattern that's right for you.
We have core working hours between 10am - 4pm, so we can collaborate and enjoy the social side of work.
We also have hybrid working so we all work from home and from our Aeroworks office in Manchester City Centre.
You’ll be in the office one day every two weeks, and you’re more than welcome to come in more if you’d like.
Our Benefits
We might be biased but we think our colleagues are pretty great.
They're the people that have made On the Beach what it is today and continue to make it vibrant and successful tomorrow.
That's why we offer a competitive benefits package, known as our Beach Perks, to all On the Beach colleagues.
- These Include
- 25 days holiday plus your birthday off
- Generous discount on holidays, plus you will receive 2 extra days annual leave on top of your holiday allowance to use whilst you’re away on your On the Beach package holiday
- Access to Learnerbly learning platform, plus workshops, courses and professional qualifications
- Enhanced maternity, paternity, shared parental leave and adoption pay, plus other family friendly support
- Employee Assistance Programme and free access to counselling
- Simplyhealth Optimise Health Plan
- Company Sick Pay scheme
- Regular wellbeing events
- Gym discount
- Share Incentive Plan (SIP)
- Death in Service cover
- Onsite subsidised coffee shop
- The Sandbox (our very own bar)
- Food and drink discounts across a number of venues in Manchester City Centre
- Regular social events
- Cycle to Work scheme
We're On the Beach! One of the UK's largest online package holiday specialists, with significant opportunities for growth.
#J-18808-Ljbffr
Senior Data Analyst in Manchester employer: On the Beach
On the Beach is an exceptional employer that champions innovation and collaboration within its new AI Discovery team in Manchester. With a strong focus on employee growth, flexible work patterns, and a culture that encourages experimentation, team members are empowered to make a meaningful impact while working on cutting-edge AI solutions. The vibrant work environment not only fosters creativity but also prioritises direct engagement with customers, ensuring that every voice is heard in the development process.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Manchester
✨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 On the Beach!
✨Show Off Your Projects
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✨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 On the Beach.
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We think you need these skills to ace Senior Data Analyst in Manchester
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 On the Beach, 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 On the Beach. 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 On the Beach
✨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 On the Beach!
✨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.
