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For Companies At a Glance
- Tasks: Transform complex data into actionable insights that drive business growth.
- Company: Join loveholidays, a leader in the travel industry with a focus on data-driven decisions.
- Benefits: Enjoy 25 days of holiday, a pension scheme, and discounted holidays for friends and family.
- Why this job: Make a real impact by collaborating with diverse teams and using cutting-edge AI tools.
- Qualifications: Expertise in SQL, Python or R, and experience in marketing or product analytics.
- Other info: Be part of an inclusive culture that values personal growth and continuous development.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Senior Data Analyst role at loveholidays.
Join to apply for the Senior Data Analyst role at loveholidays.
We are looking for a data-led professional to translate complex data into actionable recommendations that shape commercial strategy and drive business growth.
The Impact You’ll Have
Reporting to the Principal Analyst for Selling, you 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 recommendations.
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, and driving a culture of continuous development within the analytics team.
Your Skillset
- Expert capabilities across analyst tooling – including SQL, and 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 (optional)
- 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 on-the-job learning and progression
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases with service
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
The Interview Journey
- Screening with Talent Acquisition team
- Interview with the Hiring Manager – 45 mins
- Panel Presentation stage – 75 mins
- Final stage interview with VP of Data – 30 mins
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Travel Arrangements
We’re committed to creating an inclusive culture and environment that supports personal growth and collective success. We value the insight and potential you could bring to our team.
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Senior Data Analyst employer: loveholidays
Contact Detail:
loveholidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at loveholidays on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data analyst questions. Think about how you can showcase your SQL and Python skills through real-life examples. We want to see how you can turn complex data into actionable insights!
✨Tip Number 3
Don’t forget to show off your passion for AI tools! Be ready to discuss how you've used them in past projects. This will demonstrate your commitment to staying ahead in the analytics game.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the loveholidays team.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analyst role. Highlight your experience with SQL, Python, and any visualisation tools like Looker or Tableau. We want to see how your skills align with what we’re looking for!
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Share specific examples of how you've used data to drive decisions or improve processes. We love seeing real-world applications of your analytical prowess.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point—just like the insights we aim to deliver!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at loveholidays!
How to prepare for a job interview at loveholidays
✨Know Your Data Tools
Make sure you brush up on your SQL and any programming languages like Python or R. Be ready to discuss how you've used these tools in past projects, especially in relation to marketing or product analytics.
✨Showcase Your Visualisation Skills
Since the role involves creating high-quality visualisations, be prepared to talk about your experience with tools like Looker or Tableau. Bring examples of your work that demonstrate your ability to turn complex data into clear, actionable insights.
✨Understand the Business Context
Familiarise yourself with loveholidays and its market. Think about how data can drive business growth in the travel industry and be ready to share your thoughts on potential data-led strategies during the interview.
✨Prepare for Collaboration Questions
This role requires working with various teams, so expect questions about collaboration. Have examples ready that highlight your experience working with cross-functional teams and how you’ve contributed to a culture of continuous development.
