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For Companies At a Glance
- Tasks: Lead marketing analytics to optimise digital channels and drive business decisions.
- Company: Join a fast-growing online marketplace valued at $100M.
- Benefits: Enjoy remote work, bonuses, equity, and high autonomy in your role.
- Why this job: Shape a new analytics function and influence key strategies in a data-driven environment.
- Qualifications: Experience in marketing analytics, SQL, Python, and strong communication skills required.
- Other info: Opportunity to manage a small team and grow as the function matures.
The predicted salary is between 36000 - 60000 £ per year.
This fast-growing online marketplace—recently valued at $100M—is seeking a Marketing Analytics Lead to drive the optimisation of marketing efforts across all digital channels. As the business continues to scale, this is a fantastic opportunity to take ownership of the marketing analytics function and build something from the ground up. You’ll have the autonomy to shape strategy, guide performance, and influence key business decisions in a data-first environment.
THE ROLE: As Marketing Analytics Lead, you’ll be the go-to expert for everything related to marketing performance and optimisation. Working closely with senior stakeholders, you’ll lead efforts in attribution, media mix modelling, and post-campaign analytics, ensuring marketing spend is efficient and effective. You’ll start by managing a small team of two analysts, with scope to grow the team further as the function matures.
Your responsibilities will include:
- Leading analysis across paid and organic channels to assess performance and uncover growth opportunities
- Developing and refining attribution models to better understand marketing impact across touchpoints
- Running post-campaign analyses to drive insights and inform future strategy
- Building MMM models to inform long-term planning and investment decisions
- Partnering with marketing, product, and leadership to align analytics with business goals
- Using SQL and Python to extract, manipulate, and analyse large datasets
- Supporting the development of a high-performing analytics function within the business
YOUR SKILLS AND EXPERIENCE: We’re looking for someone who has:
- Proven experience in marketing analytics, ideally in a fast-paced digital or eCommerce setting
- Strong skills in post-campaign analysis, attribution modelling, and MMM
- Proficiency in SQL and Python for hands-on data analysis
- Strong commercial acumen with the ability to communicate insights to non-technical stakeholders
- Line management experience is a plus, but not essential—what matters most is your leadership mindset and ability to take ownership
THE BENEFITS:
- Bonus and equity
- Fully remote within the UK
- High-impact, high-autonomy role in a rapidly scaling business
- Opportunity to shape and grow a marketing analytics function from the ground up
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Analytics Lead (London)
✨Tip Number 1
Familiarise yourself with the latest trends in marketing analytics, especially in eCommerce. Being able to discuss current methodologies and tools during your interview will show that you're proactive and knowledgeable about the field.
✨Tip Number 2
Prepare to showcase your experience with SQL and Python by discussing specific projects where you've used these skills. Highlighting your hands-on data analysis capabilities will demonstrate your technical proficiency and readiness for the role.
✨Tip Number 3
Think about how you can align marketing analytics with business goals. Be ready to share examples of how your insights have influenced strategic decisions in previous roles, as this will resonate well with the senior stakeholders you'll be working with.
✨Tip Number 4
Showcase your leadership mindset by preparing examples of how you've managed or mentored others in the past. Even if you haven't had formal line management experience, demonstrating your ability to guide and support a team will be beneficial.
We think you need these skills to ace Marketing Analytics Lead (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing analytics, especially in digital or eCommerce settings. Emphasise your skills in post-campaign analysis, attribution modelling, and proficiency in SQL and Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of leading marketing analytics and how you can contribute to building the function from the ground up.
Showcase Leadership Experience: If you have line management experience, be sure to mention it. Highlight any instances where you've taken ownership of projects or led teams, as this is a key aspect of the role.
Prepare for Data-Driven Questions: Anticipate questions related to your analytical skills and experience with data manipulation. Be ready to discuss specific examples of how you've used SQL and Python to drive marketing insights and decisions.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with marketing analytics in detail. Highlight specific projects where you've successfully used SQL and Python to analyse data, and be ready to explain how your insights influenced marketing strategies.
✨Understand Attribution Models
Since the role involves developing and refining attribution models, brush up on your knowledge of different models and be ready to discuss how you would approach this task. Providing examples from your past work can demonstrate your expertise.
✨Communicate Effectively with Stakeholders
The ability to convey complex data insights to non-technical stakeholders is crucial. Practice explaining your findings in simple terms, focusing on how they impact business decisions and marketing performance.
✨Demonstrate Leadership Potential
Even if you don't have extensive line management experience, showcase your leadership mindset. Discuss instances where you've taken ownership of projects or guided teams, as this will resonate well with the company's focus on building a high-performing analytics function.
