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- Tasks: Lead the analytics function and shape the agency’s data vision.
- Company: Join a leading digital marketing agency making waves in the industry.
- Benefits: Enjoy hybrid working, competitive salary, and generous pension provisions.
- Why this job: Be part of a dynamic team driving measurable impact for clients across digital channels.
- Qualifications: 10+ years in digital marketing with strong analytics experience required.
- Other info: Opportunity to manage a high-performing team and innovate in privacy-first tracking.
The predicted salary is between 43200 - 72000 £ per year.
Exclusive opportunity with a leading digital marketing agency, looking for a strategic, commercially minded Head of Data & Analytics to lead its analytics function. This senior role is responsible for shaping the agency’s data vision, leading technical delivery, and driving measurable impact for clients across digital channels.
You’ll oversee a growing team, manage analytics implementations, develop measurement frameworks, and support attribution modelling, data warehousing, and tech stack integration.
Central London - Hybrid working – 3 days in office, 2 from home.
- Lead the agency’s data and measurement strategy, ensuring it supports client performance goals across all digital channels, including Paid Media, SEO, CRM, Programmatic, and ATL.
- Oversee delivery of end-to-end analytics projects, including tracking implementation, data architecture, attribution modelling, customer journey analysis, and integration with client BI systems.
- Ensure best-in-class measurement practices by driving innovation in privacy-first tracking (e.g. server-side, cookie-less solutions) and staying ahead of changes in tools and technology.
- Manage and develop a high-performing analytics team, including recruitment, training, quality control, and performance management, while fostering a collaborative and commercially focused culture.
- Work closely with internal and external stakeholders, translating complex data concepts into clear, actionable insights that inform strategic decisions.
- Support new business efforts, including pitch contributions, commercial modelling, capacity planning, and the development of templated assets and proposals.
10+ years in digital marketing, with 5+ in analytics or measurement-focused roles.
- Strong hands-on experience with Google Analytics, GTM, BigQuery, and coding in Python, SQL or R.
- Deep understanding of attribution modelling, econometrics, and marketing mix analysis.
- Knowledge of privacy-first tracking and evolving methodologies (e.g. server-side, cookie deprecation).
- Skilled in managing complex, multi-stakeholder projects.
- Track record of growing teams, services, and revenue with commercial accountability.
- Bonus: CRM measurement experience linking marketing activity to business outcomes.
In return, we offer a comprehensive benefits plan to help you meet your health and wellness, financial and lifestyle needs:
- Competitive salary.
- Generous pension provision.
- Hybrid working arrangements.
- Professional development.
If you have the experience and are interested in discussing further, please get in touch ASAP with your current CV: gcharles@vmagroup.
Head of Data Analytics - Hybrid employer: VMA GROUP
Contact Detail:
VMA GROUP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Analytics - Hybrid
✨Tip Number 1
Network with professionals in the digital marketing and analytics space. Attend industry events or webinars where you can meet potential colleagues or clients, as personal connections can often lead to job opportunities.
✨Tip Number 2
Showcase your expertise in data analytics by sharing insights on platforms like LinkedIn. Write articles or posts about trends in privacy-first tracking or attribution modelling to demonstrate your knowledge and attract attention from recruiters.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest tools and technologies in data analytics. Being able to discuss recent developments in Google Analytics, GTM, or server-side tracking will show your commitment to staying ahead in the field.
✨Tip Number 4
Consider reaching out to current employees at the agency to gain insights into their culture and expectations. This can help you tailor your approach and demonstrate your genuine interest in the role during discussions.
We think you need these skills to ace Head of Data Analytics - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in digital marketing and analytics, particularly focusing on your hands-on experience with tools like Google Analytics, GTM, and BigQuery. Emphasise your leadership skills and any successful projects you've managed.
Craft a Compelling Cover Letter: Write a cover letter that showcases your strategic mindset and how you can shape the agency’s data vision. Mention specific examples of how you've driven measurable impact in previous roles and your approach to managing high-performing teams.
Highlight Relevant Skills: In your application, clearly outline your technical skills, especially in coding languages like Python, SQL, or R. Discuss your understanding of attribution modelling and privacy-first tracking methodologies, as these are crucial for the role.
Showcase Stakeholder Management Experience: Provide examples of how you've successfully managed complex, multi-stakeholder projects. This will demonstrate your ability to translate complex data concepts into actionable insights, which is key for this position.
How to prepare for a job interview at VMA GROUP
✨Showcase Your Strategic Vision
As a Head of Data Analytics, it's crucial to demonstrate your ability to shape a data vision. Prepare to discuss how you've previously developed and implemented data strategies that align with business goals, particularly in digital marketing.
✨Highlight Technical Proficiency
Make sure to emphasise your hands-on experience with tools like Google Analytics, GTM, and BigQuery. Be ready to provide examples of how you've used coding languages such as Python, SQL, or R to drive analytics projects.
✨Discuss Team Leadership Experience
This role involves managing a high-performing analytics team. Share specific instances where you've successfully recruited, trained, and developed team members, fostering a collaborative culture while achieving commercial objectives.
✨Prepare for Stakeholder Engagement
You'll need to translate complex data concepts into actionable insights for various stakeholders. Think of examples where you've effectively communicated data findings to non-technical audiences, influencing strategic decisions.
