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- Tasks: Transform complex data into strategic marketing insights for global brands.
- Company: Join a dynamic team in Manchester focused on innovative marketing intelligence.
- Benefits: Enjoy flexible working with 2 days in the office and opportunities for mentorship.
- Why this job: Be at the forefront of data-driven marketing, shaping strategies that drive real impact.
- Qualifications: 3+ years in digital analytics or consultancy; proficiency in GA4, Python, and SQL required.
- Other info: Collaborate with a cross-functional EMEA team using cutting-edge analytics tools.
The predicted salary is between 28800 - 43200 £ per year.
THE COMPANY
Central data team at a fast-growing UK marcomms group working across multiple agencies (CRM, media planning, PR, specialist marketing). Support brands like Three Mobile, Shell, and Which? with data strategies, insights, and MarTech solutions. B2C and B2B clients across UK and worldwide.
THE ROLE
Marketing & Customer Analyst working on two main areas: marketing optimization and customer analytics. Full-time permanent role with hybrid working (2 days/week in office). Choose your base location from Leeds, Manchester, or Uppingham.
WHAT YOU\’LL DO
- Marketing Optimization Analysis
- Analyze digital marketing campaigns across Google Ads, Meta, LinkedIn, DV360
- Build Power BI and Looker dashboards for campaign performance
- Combine data from Adobe Analytics and GA4 to conduct analysis in Excel
- Deliver actionable recommendations that inform marketing decisions
- Customer Analytics
- Dive into customer behavior analysis using Excel and Power BI
- Uncover insights about loyalty patterns, membership dynamics, purchasing behaviors
- Present compelling visualizations in PowerPoint
- Identify trends, spot changes, understand the \”why\” behind customer actions
- Communicate findings that drive business decisions
- Additional
- Contribute to insight projects
- Work on cross-agency initiatives
- Exposure to different sectors and analytical challenges
WHAT YOU NEED
- 1-4 years in marketing analytics
- Marketing agency experience
- Strong Excel skills (advanced functions, pivots, data manipulation, analysis)
- Excellent PowerPoint skills for client-facing presentations
- Strong Power BI and Looker skills for dashboard development and visualization
- Experience with GA4 and Adobe Analytics
- Experience handling paid media data sources (Google Ads, Meta, LinkedIn, DV360)
- Strong grasp of marketing metrics and KPIs (ROAS, CPL, CTR, conversion rates)
- Experience analyzing customer behavior patterns (loyalty, retention, purchase behavior)
- Strong analytical skills – interrogate data, identify patterns, conduct robust analysis
- Ability to communicate insights effectively – translate complex findings into clear narratives
- Excellent presentation and communication skills (written and verbal)
- Intellectually curious and adept at problem-solving
- Comfortable in fast-paced agency setting with multiple stakeholders
- Able to work independently and manage varied workstreams
- Familiarity with Tableau
- Experience with social listening tools (Brandwatch, Hootsuite Insights)
- Stats or Maths degree
TECH STACK
WHAT\’S ON OFFER
- £30-35k depending on experience
- Hybrid working – 2 days/week in office
- Choose your base: Leeds, Manchester, or Uppingham
- Work with recognized brands (Three Mobile, Shell, Which?)
- Exposure to multiple clients and analytical challenges
- Supportive, collaborative data team environment
- 25 days holiday per year
- Company pension
- Life assurance
- Private health insurance via Vitality
- 1 paid charity day per year
- Cycle to work scheme
- Season ticket loan
- Ongoing career progression initiatives
INTERVIEW TIMELINE
- 30-minute introductory interview (Microsoft Teams) with Data Partner – getting to know you, your background, the role and team
- Technical interview (1 hour, Microsoft Teams) with Data Partner and Head of Data Strategy – short task to complete beforehand and present during session, exploring technical capabilities, problem-solving approach, and how you communicate insights
Timeline: 2-3 weeks
WHY THIS ROLE
Variety of work – not stuck on one client or one type of analysis. Marketing optimization one week, customer behavior the next. Brand exposure with recognizable names. Central team position – you\\\’re the specialist agencies come to. Supportive environment focused on collaboration and growth.
HOW TO APPLY
Send CV to Mohammed Buhariwala at Harnham highlighting:
- GA4 and Adobe Analytics experience
- Power BI and Looker skills
- Marketing agency background
- Campaign performance analysis or paid media work
- Customer analytics experience (loyalty, retention, purchase behavior)
- Marketing metrics you\\\’ve worked with (ROAS, CPL, CTR, conversion rates)
- Stakeholder presentations or client-facing work
Keywords: Marketing Analytics, Digital Analytics, Customer Analytics, GA4, Adobe Analytics, Power BI, Looker, Agency, Leeds, Manchester, London
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Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in digital analytics and marketing intelligence. Being well-versed in tools like GA4, GTM, and BigQuery will not only boost your confidence but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the industry, especially those who work in roles similar to the Marketing Analyst position. Attend relevant events or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your approach.
✨Tip Number 3
Prepare to discuss specific examples of how you've turned complex data into actionable insights in previous roles. This will showcase your analytical skills and ability to drive client success, which are crucial for this position.
✨Tip Number 4
Demonstrate your understanding of AI and ML applications in marketing during conversations. Showing that you can leverage these technologies to design impactful solutions will set you apart from other candidates.
We think you need these skills to ace Marketing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in digital analytics, data science, or consultancy. Emphasise your proficiency in tools like GA4, GTM, and BigQuery, as well as any client relationship skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for turning complex data into strategic insights. Mention specific examples of how you've successfully led data-driven projects and contributed to commercial growth.
Showcase Your Analytical Skills: Include specific instances where you've designed and implemented advanced analytics solutions. Highlight your experience with AI and ML, and how these have shaped marketing strategies in your previous roles.
Prepare for Client-Focused Questions: Since the role involves strong client relationship skills, be ready to discuss how you've effectively communicated insights to clients in the past. Prepare examples that demonstrate your ability to act as a trusted advisor.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
As a Marketing Analyst, your ability to interpret data is crucial. Be prepared to discuss specific examples of how you've used data to drive marketing strategies in previous roles. Highlight any tools or methodologies you’ve employed, especially those mentioned in the job description.
✨Demonstrate Client Relationship Management
This role requires strong client relationship skills. Share experiences where you've successfully managed client expectations or turned challenging situations into positive outcomes. Emphasise your communication style and how it fosters trust and collaboration.
✨Familiarise Yourself with Relevant Tools
Make sure you’re well-versed in GA4, GTM, BigQuery, and other tools listed in the job description. You might be asked about your experience with these platforms, so be ready to discuss specific projects where you utilised them effectively.
✨Prepare for Technical Questions
Given the emphasis on advanced analytics solutions, expect technical questions related to AI, ML, and data modelling. Brush up on your knowledge in these areas and be ready to explain complex concepts in simple terms, as this will demonstrate your ability to communicate insights clearly.
