At a Glance
- Tasks: Lead a team to deliver analytical solutions and optimise performance for holiday packages.
- Company: Join loveholidays, a tech-driven leader in the holiday industry.
- Benefits: Enjoy competitive salary, pension contributions, training budget, and discounted holidays.
- Other info: Dynamic workplace with opportunities for personal growth and diverse perspectives.
- Why this job: Make a real impact by leveraging data to enhance customer experiences.
- Qualifications: Experience in SQL, analytics tools, and leading teams in fast-paced environments.
The predicted salary is between 50000 - 60000 £ per year.
Our team is the driving force behind our role as our customers' personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the global leader in packaged holidays. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second.
Reporting to the Head of Analytics, the Principal Analyst will lead a high performing team in delivering analytical solutions to strategic questions, analysing performance, and advising on day to day decision making.
- Managing a team of 2 analysts working across multiple stakeholder groups including operations, commercial and platform.
- Acting as the key analytics partner for the Supply domain (the commercial and technical engine that creates the perfect holiday for our customers).
- Levelling up analytical influence on the strategic and tactical decisions we make, leveraging data to deeply understand how to measure and optimise our performance for both Suppliers & Customers.
- Setting standards for high quality visualisations and reports (we use Looker and Looker Studio).
- Partnering with stakeholders to build the measurement frameworks that expose how our systems create value, and where there is opportunity for optimisation.
- Working closely with analysts, engineers and commercial teams to ensure that data products meet the needs of stakeholders and reporting.
Requirements:
- SQL and experience with analytical engineering tools such as dbt.
- Experience using a visualisation tool such as Tableau or Looker.
- Experience leveraging AI tooling for delivery, with enthusiasm for transforming how we build and interact with data.
- Extensive experience in Logistical or Operational Analytics.
- Collaborative approach and good relationship builder - with proven experience of stakeholder engagement and a reputation for strategic thinking.
- A strong desire for agency, with the ability and desire to own projects from brief through to delivery, and proactively advise with insight.
- Curiosity and the application of systems thinking to join the dots between different parts of the organisation.
- Experience leading small to medium sized teams of analysts in a fast paced environment.
Desirable:
- Experience of a programming language such as Python or R.
Benefits:
- 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 Data Analyst - Senior Analyst in Bristol
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We think you need these skills to ace Data Analyst - Senior Analyst in Bristol
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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How to prepare for a job interview at loveholidays
✨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
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✨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.
