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For Companies At a Glance
- Tasks: Analyse marketing data to uncover customer insights and optimise campaigns.
- Company: Join a global tech partner serving 29m shoppers with luxury brands.
- Benefits: Enjoy 25 days holiday, private healthcare, gym membership, and more perks.
- Why this job: Be part of a dynamic team shaping marketing strategies with data-driven insights.
- Qualifications: Experience in marketing data analysis and strong skills in Tableau and Excel required.
- Other info: Flexible work with 2 days in the office, plus unique time-off benefits.
The predicted salary is between 28000 - 32000 £ per year.
Marketing Data Analyst
£40,000 – £50,000 + 10% bonus + benefits
London (2 days per week in the office)
Our client
Our client is a global strategic technology and payments partner. They deliver seamless personalised shopping experiences to over 29m international shoppers, who in turn generate €22.9bn revenue.
With 2,000 employees spread across 50 countries, they integrate with 300,000 point of sale systems in a number of luxury retailers and brands including Harrods, Selfridges, John Lewis, Liberty\’s, Apple, Cartier, De Beers, Hermès, Rolex, Dior and Jimmy Choo.
Their products include tax-free shopping, smart data and intelligence, marketing and sales, POS technology and payment solutions.
The role
The Marketing Data Analyst will help the business to understand customer needs and behaviours through the analysis of complex data sets and subsequent translation into meaningful, shareable insights and stories.
This role will be hands on with building visualisations in Tableau to provide and improved view of how customers are engaging with marketing products and campaigns. The Marketing Data Analyst will conduct and advise on analysis to help with the optimisation of both new & existing products & features.
As a Marketing Data Analyst, you will:
- Deliver Analysis for Marketing Products & Marketing Campaigns.
- Identify the impact of marketing approaches and audience segmentation.
- Analyse campaign success, develop KPI metrics, and optimise future campaign tactics.
- Monitor and report on marketing campaign performance.
- Assist with the development and execution of marketing strategies.
- Identify new ways to use data to deliver opportunities to engage with customers, optimise channels, and deliver cost effectiveness.
- Ensure enhanced customer profiling and segmentation.
- Measure the effectiveness of marketing products, features, and campaigns, building compelling visualisation and case studies to be shared with the business.
- Advise on how advanced statistical techniques can further improve the understanding of the customers.
To apply, you should have
- Experience working as a Marketing Data Analyst.
- Proven experience working with marketing data for audience segmentation and profiling.
- Experienced analysing data from A/B and MVT.
- Strong data visualisation skills (Tableau is preferred).
- Advanced Microsoft Excel skills.
- Experience working with customer data, segmentation, targeting and behavioural analysis.
- Can showcase impactful and actionable insights.
The perks include
- 25 days holiday + bank holidays.
- An extra day off for moving to a new house; 2 days off for your wedding; 3 days off for charity / community days.
- Private healthcare and medical cashback plan.
- Perkbox.
- Competitive pension plan.
- Virgin gym membership.
Match Digital specialises in connecting talented individuals with businesses in the digital, tech, media and marcomms industries.
Marketing Data Analyst employer: Match Digital
Contact Detail:
Match Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in marketing analytics and data visualisation. Being well-versed in tools like Tableau will not only help you stand out but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the marketing data field, especially those who have experience with audience segmentation and profiling. Engaging in conversations can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive marketing decisions in previous roles. Highlighting your ability to translate complex data into actionable insights will be crucial during interviews.
✨Tip Number 4
Stay updated on the company's recent marketing campaigns and their performance metrics. Showing that you understand their business and can contribute to their goals will make a strong impression.
We think you need these skills to ace Marketing Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Marketing Data Analyst. Focus on your skills in data analysis, audience segmentation, and visualisation tools like Tableau. Use keywords from the job description to align your experience with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and marketing. Mention specific projects where you've successfully analysed data to drive marketing strategies. This is your chance to tell a story about how your insights have led to impactful decisions.
Showcase Your Skills: In your application, emphasise your strong data visualisation skills and advanced Excel capabilities. If you have examples of previous work or case studies, consider including links or attachments to demonstrate your ability to turn complex data into actionable insights.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail, which is crucial for a data analyst role.
How to prepare for a job interview at Match Digital
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis and visualisation tools, especially Tableau. Bring examples of past projects where you successfully translated complex data into actionable insights.
✨Understand the Company’s Products
Familiarise yourself with the company’s offerings and how they impact customer engagement. This will help you articulate how your skills can contribute to optimising their marketing strategies.
✨Prepare for Technical Questions
Expect questions about A/B testing, MVT, and audience segmentation. Brush up on these concepts and be ready to explain how you've applied them in previous roles.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in your previous roles and how you overcame them using data analysis. This will show your potential employer that you can think critically and adapt to new situations.