Marketing Analyst
Job description
Original text imported from Reed
London (4 days onsite) | £45-50k + bonus
Data-driven marketing business working with large retail and consumer brands to improve customer targeting, campaign performance, and commercial outcomes through data, analytics, and technology.
The RoleYou'll join a small analytics team supporting multiple client accounts, focusing on turning customer, campaign, and behavioural data into actionable insights.
Work includes:
- Campaign and customer data analysis to understand performance drivers
- Audience and segmentation analysis (including high-value customers)
- Ad hoc deep dives on large transactional datasets
- Supporting insight delivery alongside senior team members
- Contributing to client-facing outputs (with support)
- 1-3 years' experience in analytics / marketing / data role
- Strong SQL skills
- Exposure to CRM, digital, or marketing data desirable
- BI tool experience (e.g. Tableau) a plus
- Strong communication and stakeholder skills
- Curious, commercially minded, and keen to develop
- 45-min intro interview
- Task/presentation (in-person)
- Final interview with senior stakeholder
Find out more and apply via the link below.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight your SQL skills prominently as this is explicitly mentioned as a strong requirement for the role
📊 Quantify your campaign analysis experience: 'Analysed 15 retail campaigns, improving CTR by 23%'
🎯 Emphasise any CRM or digital marketing data exposure as this is specifically mentioned as desirable
🔍 Showcase experience with large transactional datasets and customer segmentation projects
🤝 Demonstrate your commercial mindset with examples of how your analysis drove business outcomes
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Analysed customer segmentation data using SQL for 12 retail campaigns, identifying high-value segments that increased conversion rates by 28%
- •Built Tableau dashboards tracking campaign performance across 8 consumer brands, reducing reporting time by 3 hours weekly
- •Conducted deep-dive analysis on £2.4M transactional dataset, uncovering behavioural patterns that improved customer targeting accuracy by 35%
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
We've drafted a cover letter for Harnham - Data & Analytics Recruitment. Preview the opening, then unlock the full personalised version.
Letter preview — tailored to Harnham - Data & Analytics Recruitment
Dear Hiring Manager,
Harnham's client opportunity as Marketing Analyst combines my passion for SQL-driven insights with retail campaign analysis — exactly the direction I want my analytics career to take. My experience with customer segmentation and CRM data analysis aligns perfectly with your focus on improving targeting and commercial outcomes for major brands.
My background in marketing analytics has equipped me with the technical SQL skills and commercial mindset needed to turn transactional data into actionable insights that drive campaign performance improvements.
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Interview questions
10 questions generated from this advert.
Technical
- ›Walk me through how you would analyse campaign performance for a retail client
- ›How would you approach customer segmentation for high-value customers?
- ›Describe your experience with SQL and give an example of a complex query you've written
- ›How would you handle analysis of large transactional datasets?
- ›What BI tools have you used and how do you decide which visualisation to use?
Behavioural
- ›Tell me about a time you had to present complex data insights to stakeholders
- ›Describe a situation where your analysis led to a commercial decision
- ›How do you handle working with multiple client accounts simultaneously?
- ›Give an example of when you had to dig deeper into data to find the real story
- ›Tell me about a time you had to learn a new analytical technique or tool quickly
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time you had to present complex data insights to stakeholders
Describe a situation where your analysis led to a commercial decision
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