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loveholidays

Senior Data Analyst

Reposted 18 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England
Senior level
In-Office
London, Greater London, England
Senior level
The Senior Data Analyst will collaborate with various teams to provide data-driven insights, enhance decision-making, and support strategic initiatives. Key responsibilities include data analysis, visualization, and using AI tools for analytics.
The summary above was generated by AI

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 most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof 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 can 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 Principal Analyst for Selling, the Senior Analyst will partner with stakeholders across Product, Trading, and Marketing to deliver data-first solutions to strategic questions, analyse performance, and translate complex data into clear, actionable recommendations that directly shape commercial strategy and drive business growth.

Your day-to-day:

  • Working across multiple stakeholder groups including product, marketing and trading.

  • Collaborating with analysts, engineers, data scientists, and commercial teams to define metrics and develop data products that provide clear insights and support rapid, data-driven decision-making.

  • Working with Ai tools, and being passionate about leveling the team and stakeholders up.

  • Setting standards for high quality visualisations and reports (we use Looker and Looker Studio).

  • Participate in knowledge sharing, coaching colleagues and team members, playing a key role in driving a culture of continuous development within the analytics team.

Your skillset:

  • Expert capabilities across analyst tooling - incl. SQL, a programming language such as Python or R

  • Experience of analytical engineering - preferably using dbt

  • Experience using a visualisation tool such as Tableau or Looker

  • Extensive experience in Marketing, Product or Commercial analytics utilising advanced analytical methodologies

  • Curiosity and the ability to join the dots between different parts of the organisation

  • Experience in using Ai for analytics purposes

Desirable:

  • Experience with a version control system such as git

  • Experience of experimentation, attribution or marketing mix modelling

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 30 days per annum.

  • Ability to buy and sell annual leave.

  • Cycle to work scheme, season ticket loan and eye care vouchers.

At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.

The interview journey:

  1. Screening with Talent Acquisition team

  2. Interview with the Hiring Manager - 45 mins

  3. Panel Presentation stage - 75 mins

  4. Final stage interview with VP of Data - 30 mins

Top Skills

Dbt
Looker
Looker Studio
Python
R
SQL
Tableau
HQ

loveholidays London, England Office

3 Shortlands, West Kensington, London, United Kingdom, W6 8DA

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