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For Companies At a Glance
- Tasks: Lead analytics strategy and deliver actionable insights for a major eCommerce brand.
- Company: Join a leading eCommerce brand focused on digital performance optimisation.
- Benefits: Enjoy hybrid work options and the chance to influence key business decisions.
- Why this job: Be part of a dynamic team driving digital growth with your analytical expertise.
- Qualifications: 5+ years in digital analytics, expert in GA360, BigQuery, and SQL required.
- Other info: Ideal for seasoned professionals looking to make a significant impact.
The predicted salary is between 48000 - 72000 £ per year.
We’re supporting a major eCommerce brand as they enter a new phase of digital performance optimisation. To accelerate their ambitions, they’re seeking a highly experienced Digital Analytics Consultant who can lead their analytics and insight function, delivering clear, actionable data that drives commercial impact.
This is a senior-level interim position ideal for someone who brings deep technical knowledge, a sharp commercial instinct, and a proven track record of translating digital behaviour into strategic business decisions.
What You’ll Deliver- Analytics Strategy & Tooling
- Define and execute a fit-for-purpose analytics strategy aligned to digital growth goals
- Own the setup, configuration, and governance of analytics platforms including GA360, GTM, and BigQuery
- Ensure clean, consistent, and scalable data collection across all digital platforms
- Insight & Optimisation
- Analyse behavioural and performance data to uncover insights across acquisition, conversion, and retention
- Support experimentation and personalisation initiatives with data-led recommendations
- Build dashboards and performance reports using BI tools such as Looker or Tableau
- Stakeholder Enablement
- Act as a senior analytics partner to product, marketing, UX, and trading teams
- Present high-impact insights that influence executive decision-making
- Translate complex data into stories that drive business and customer outcomes
- Tagging & Implementation Oversight
- Lead event tagging strategy through GTM or similar tools
- Work with developers and QA teams to ensure robust implementation of analytics tracking
- Monitor and troubleshoot data discrepancies to ensure accuracy and trust in reporting
- 5+ years' experience in digital/web analytics roles, ideally within ecommerce or similar fast-paced digital environments
- Expert-level proficiency with GA360, BigQuery, GTM, and SQL
- Hands-on experience with CRO tools, heatmapping platforms, and testing frameworks
- Proven ability to work autonomously in a senior capacity, delivering at pace and with precision
- Strong communication and storytelling skills — able to influence both technical and non-technical stakeholders
- Bonus: GA and/or Adobe Analytics certifications
This role is well-suited to a seasoned digital analytics professional who thrives in delivery-focused environments and can quickly add value through insight, optimisation, and technical leadership.
Data Analyst employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network with professionals in the eCommerce and digital analytics space. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the specific analytics tools mentioned in the job description, such as GA360, GTM, and BigQuery. Consider taking online courses or certifications to demonstrate your proficiency and commitment to staying updated in the field.
✨Tip Number 3
Prepare to discuss your previous experiences in detail, particularly how you've used data to drive business decisions. Be ready to share specific examples of insights you've uncovered and how they impacted your previous employers.
✨Tip Number 4
Practice translating complex data into compelling stories. This role requires strong communication skills, so consider rehearsing how you would present your findings to both technical and non-technical stakeholders.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in digital analytics, particularly with tools like GA360, BigQuery, and GTM. Use specific examples that demonstrate your ability to drive commercial impact through data.
Craft a Compelling Cover Letter: In your cover letter, emphasise your 5+ years of experience in digital/web analytics roles. Discuss how your skills align with the company's goals and how you can contribute to their digital performance optimisation.
Showcase Your Technical Skills: Clearly outline your technical proficiency in analytics platforms and tools. Mention any certifications you hold, such as GA or Adobe Analytics, and provide examples of how you've used these tools to deliver insights.
Prepare for Potential Questions: Anticipate questions related to your experience with data analysis and stakeholder engagement. Be ready to discuss how you've translated complex data into actionable insights that influenced business decisions.
How to prepare for a job interview at Harvey Nash
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with analytics tools like GA360, BigQuery, and GTM. Highlight specific projects where you successfully implemented these tools to drive insights and optimise performance.
✨Demonstrate Your Analytical Thinking
Prepare examples of how you've analysed behavioural data to uncover insights that influenced business decisions. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Effectively
Practice translating complex data into clear, actionable insights. Be ready to explain how you would present findings to both technical and non-technical stakeholders, ensuring your communication is tailored to your audience.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, particularly in relation to data discrepancies or stakeholder management.
