Principal Data Analyst in London

Principal Data Analyst in London

London Full-Time 43200 - 72000 £ / year (est.) No working from home possible
loveholidays

At a Glance

  • Tasks: Lead a team to deliver analytical solutions and enhance customer experience.
  • Company: loveholidays helps you personalise your holiday with maximum flexibility and ATOL protection.
  • Benefits: Enjoy 25 days holiday, discounted trips, and a personalised training budget.
  • Other info: Opportunity to mentor and lead within a high-performing analytics team.
  • Why this job: Join a diverse team focused on personal growth and impactful decision-making.
  • Qualifications: Expertise in SQL, Python or R, and experience with visualisation tools required.

The predicted salary is between 43200 - 72000 £ per year.

Why Technology at loveholidays? At loveholidays we trailblaze together. We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease, and unmissable value for their next getaway. 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. We drive cutting‑edge innovation and technical excellence to future‑proof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.

The Impact You’ll Have

Reporting to the Head of Analytics, the Principal Analyst leads a high‑performing team in delivering analytical solutions to strategic questions, analysing performance, and advising on day‑to‑day decision making.

Your Day-to-day

  • Managing a team of two 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 strategic and tactical decisions by leveraging data to deeply understand how to measure and optimise our performance for both suppliers and customers.
  • Setting standards for high‑quality visualisations and reports (we use Looker and Looker Studio).
  • Partnering with stakeholders to build 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.

Your Skillset

  • Expert capabilities across analyst tooling – SQL and 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 stakeholder engagement and reputation for strategic thinking.
  • A strong desire for agency, owning projects from brief through to delivery, and proactively advising with insight.
  • Curiosity and 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 with a version control system such as git.
  • Experience with a programming language such as Python or R.

Perks Of Joining Us

  • 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 of 30 days per annum.
  • Ability to buy and sell annual leave.
  • Cycle to work scheme, season ticket loan and eye care vouchers.

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loveholidays

Contact Details:

loveholidays Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Analyst in London

Tip Number 1

Familiarise yourself with the specific analytical tools mentioned in the job description, such as SQL, Python, and Looker. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.

Tip Number 2

Demonstrate your leadership abilities by preparing examples of how you've mentored or coached team members in previous roles. This will show that you can effectively lead a high-performing team, which is crucial for this position.

Tip Number 3

Engage with the company’s mission and values. Research loveholidays and think about how your personal values align with theirs. Being able to articulate this connection during discussions can make a strong impression.

Tip Number 4

Prepare to discuss your experience with operational and financial analytics, especially in relation to call centre metrics. Highlighting relevant past projects or achievements will demonstrate your capability to handle the responsibilities of the role.

We think you need these skills to ace Principal Data Analyst in London

Advanced SQL
Proficiency in Python or R
Data Visualisation Skills
Experience with Looker and Looker Studio
Knowledge of Tableau and Power BI
Operational Analytics Expertise
Financial Analytics Background

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights relevant experience in data analysis, particularly with tools like SQL, Python, and visualisation software such as Looker or Tableau. Emphasise any leadership roles or mentoring experiences you've had, as this is crucial for the Principal Data Analyst position.

Craft a Compelling Cover Letter:In your cover letter, express your passion for data analytics and how it can enhance customer experiences. Mention specific examples of how you've used data to drive decision-making and improve operational performance in previous roles.

Showcase Your Analytical Skills:Provide concrete examples of projects where you led analytical solutions or improved processes. Highlight your experience with version control systems like git and any familiarity with analytical engineering tools like dbt, as these are important for the role.

Prepare for Potential Questions:Anticipate questions related to stakeholder engagement and strategic thinking. Be ready to discuss how you've collaborated with teams to define metrics and measure business success, as well as your approach to mentoring and leading a team.

How to prepare for a job interview at loveholidays

Showcase Your Analytical Skills

As a Principal Data Analyst, you'll need to demonstrate your expertise in analytical tools like SQL and programming languages such as Python or R. Be prepared to discuss specific projects where you've used these skills to drive decision-making and improve operational performance.

Prepare for Stakeholder Engagement

Since the role involves collaborating with various stakeholders, think of examples where you've successfully engaged with different teams. Highlight your ability to define and measure metrics that reveal business opportunities, showcasing your strategic thinking.

Demonstrate Leadership and Mentorship

You'll be leading a high-performing team, so it's essential to convey your leadership style. Share experiences where you've mentored or coached team members, focusing on how you fostered their growth and contributed to the team's success.

Familiarise Yourself with Visualisation Tools

The role requires delivering high-quality visualisations using tools like Looker and Tableau. Brush up on your knowledge of these tools and be ready to discuss how you've used them to create impactful reports and dashboards in previous roles.