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For Companies At a Glance
- Tasks: Transform complex data into actionable insights for marketing strategies.
- Company: Join a leading UK travel hub, connecting millions every month.
- Benefits: Enjoy hybrid work, competitive perks, and a purpose-driven culture.
- Why this job: Make a real impact on travel experiences through innovative data solutions.
- Qualifications: Experience in marketing analytics and proficiency in data visualisation tools required.
- Other info: Be part of a major transformation in a recognisable organisation.
The predicted salary is between 36000 - 60000 £ per year.
Make a measurable impact at the UK’s leading travel gateway. Help shape the future of travel through the power of data: Join one of the UK’s most high-profile transport and infrastructure organisations in a newly created Marketing Data Analyst role. This business connects millions of people every month and is rapidly scaling its data and digital capabilities to deliver smarter, more personalised customer experiences.
As a Marketing Data Analyst, you’ll take a leading role in turning complex data into actionable insights across CRM, loyalty, performance marketing, social media, and paid media channels. You’ll work across internal teams and agency partners to build end-to-end reporting, influence decisions, and improve marketing outcomes.
What you’ll be doing:
- Own marketing data feeds: Manage and optimise datasets from CRM systems, loyalty programs, social, paid media, and more.
- Drive insights: Build dashboards and run ad-hoc analysis to unlock trends, track performance and improve campaign ROI.
- Be a key connector: Partner with marketing, tech, and agency teams to ensure reporting alignment, accuracy, and strategic value.
- Champion improvement: Leverage automation tools and A/B testing to evolve data processes and marketing effectiveness.
- Support strategic innovation: Enable data-led decision-making that enhances the customer journey and maximises marketing ROI.
What we’re looking for:
- Strong experience in marketing analytics across channels like CRM, loyalty, social media, performance marketing, and paid media.
- Proficiency working with large datasets and delivering business impact through insight.
- Strong communicator – able to influence both technical and non-technical stakeholders.
- Data visualisation know-how (e.g. Tableau, Power BI), Python OR R.
- A curious, collaborative mindset aligned to values of integrity, inclusion, teamwork, and continuous improvement.
Why join?
- Be part of a major transformation in one of the UK’s most recognisable organisations.
- Work in a purpose-led, inclusive and innovation-driven environment.
- Competitive benefits and the opportunity to work on data that truly makes a difference – for people, performance, and planet.
Ready to take off? If you’re excited by the idea of helping a major organisation deliver world-class marketing through data, we’d love to hear from you. Apply now and help shape the future of travel with insights that reach millions.
Data Analyst - Marketing employer: Nicholson Glover
Contact Detail:
Nicholson Glover Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Marketing
✨Tip Number 1
Familiarise yourself with the specific marketing channels mentioned in the job description, such as CRM, loyalty programmes, and social media. Understanding how these channels work will help you demonstrate your expertise during interviews.
✨Tip Number 2
Brush up on your data visualisation skills, particularly with tools like Tableau or Power BI. Being able to showcase your ability to create insightful dashboards can set you apart from other candidates.
✨Tip Number 3
Prepare examples of how you've used data to drive marketing decisions in previous roles. Be ready to discuss specific campaigns where your insights led to measurable improvements in ROI.
✨Tip Number 4
Network with professionals in the marketing analytics field, especially those who have experience in the travel industry. Engaging with them can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Analyst - Marketing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in marketing analytics, especially with CRM, loyalty, and social media channels. Use specific examples of how you've turned data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your proficiency with data visualisation tools like Tableau or Power BI, and how you can contribute to their marketing strategies.
Showcase Your Technical Skills: Clearly outline your technical skills in Python or R, and provide examples of how you've used these tools to drive marketing outcomes. This will demonstrate your ability to handle large datasets effectively.
Highlight Collaboration Experience: Since the role involves working with various teams, emphasise your experience in collaborating with both technical and non-technical stakeholders. Share examples of successful projects where teamwork was key to achieving results.
How to prepare for a job interview at Nicholson Glover
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to drive marketing decisions. Highlight your experience with CRM systems, social media analytics, and performance marketing to demonstrate your expertise.
✨Demonstrate Data Visualisation Proficiency
Familiarise yourself with tools like Tableau or Power BI, as these are crucial for the role. Bring along examples of dashboards you've created or analyses you've conducted to showcase your ability to present data effectively.
✨Communicate Clearly with Stakeholders
Practice explaining complex data insights in simple terms. The ability to influence both technical and non-technical stakeholders is key, so prepare to discuss how you've successfully communicated findings in past roles.
✨Emphasise Collaboration and Curiosity
This role requires working closely with various teams. Share experiences where you've collaborated on projects and how your curiosity has led to innovative solutions or improvements in processes.
