At a Glance
- Tasks: Lead digital analytics for web and mobile, shaping smarter decisions.
- Company: Join a fast-growing retailer transforming its digital capabilities.
- Benefits: Enjoy flexible hybrid work, generous holidays, and staff discounts.
- Why this job: Be part of a data-driven culture impacting millions of customers.
- Qualifications: Experience with GA4, Google Tag Manager, and large datasets required.
- Other info: Opportunity for professional development and a chance to influence digital strategy.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
A fast-growing retailer with a nationwide presence is expanding its digital capability and looking for a skilled Digital Analytics Manager to lead insight generation across its web and mobile platforms. Serving millions of customers, the business is undergoing a digital transformation and needs a data-savvy individual to help shape smarter decision-making across teams.
Role & Responsibilities:
- Develop and own the digital analytics roadmap for both web and app environments
- Define key performance indicators (KPIs) and create dashboards to monitor user journeys, engagement, and conversion metrics
- Oversee the setup and optimisation of tracking using leading analytics tools like GA4 and GTM
- Translate complex datasets into clear, actionable insights for marketing, product, and user experience teams
- Partner with tech teams to ensure robust tracking and data quality across platforms
- Support testing and experimentation frameworks (e.g. A/B testing) and work on campaign attribution initiatives
- Enable internal stakeholders to make informed, data-led choices
Ideal Candidate:
- Hands-on experience with GA4 and Google Tag Manager implementation
- Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable
- Proven ability to deliver analytical solutions in ecommerce or retail-focused environments
- Comfortable presenting data findings to both technical and non-technical audiences
- Understands digital marketing performance metrics across channels like search, paid media, and social
- Familiar with visualisation tools (e.g., Power BI, Looker Studio)
- Practical knowledge of SQL is a strong plus
Benefits:
- Tailored professional development and certification opportunities
- Generous holiday allowance including public holidays
- Pension contributions up to 8%
- Staff discounts across product ranges
- Enhanced policies for long-term service and leave
- Cycle-to-work scheme
- Flexible hybrid working options
Ready to shape the digital future of a leading retailer? This is your opportunity to join a company investing heavily in data, technology, and customer experience. Apply now or get in touch for a confidential conversation.
Digital Analytics Manager employer: Digital Gurus
Contact Detail:
Digital Gurus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest features of GA4 and Google Tag Manager. Being able to discuss recent updates or changes during your interview can demonstrate your proactive approach and expertise in digital analytics.
✨Tip Number 2
Prepare to showcase your experience with A/B testing and campaign attribution. Think of specific examples where your insights led to improved performance, as this will highlight your practical knowledge and impact on previous projects.
✨Tip Number 3
Brush up on your SQL skills and be ready to discuss how you've used it to analyse large datasets. This is a strong plus for the role, and demonstrating your ability to extract meaningful insights from data will set you apart.
✨Tip Number 4
Understand the key performance indicators relevant to ecommerce and retail. Be prepared to talk about how you would define and measure these KPIs in the context of the company's digital transformation efforts.
We think you need these skills to ace Digital Analytics Manager
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Digital Analytics Manager position. Tailor your application to highlight how your experience aligns with these requirements.
Highlight Relevant Experience: Emphasise your hands-on experience with GA4, Google Tag Manager, and any cloud-based analytics tools like BigQuery. Provide specific examples of how you've used these tools to drive insights and decision-making in previous roles.
Showcase Your Analytical Skills: Demonstrate your ability to work with large datasets and translate complex data into actionable insights. Include examples of dashboards you've created or KPIs you've defined that have positively impacted business outcomes.
Prepare a Strong Cover Letter: Craft a compelling cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role and the company's digital transformation journey. Make sure to convey your understanding of digital marketing performance metrics and your ability to present findings to diverse audiences.
How to prepare for a job interview at Digital Gurus
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with GA4 and Google Tag Manager during the interview. Be prepared to discuss specific projects where you've implemented these tools and how they contributed to data-driven decision-making.
✨Prepare for Data Presentation
Since the role involves presenting data findings to both technical and non-technical audiences, practice explaining complex datasets in a simple, clear manner. Use examples from your past experiences to demonstrate your ability to translate data into actionable insights.
✨Understand the Business Context
Research the retailer's digital transformation efforts and be ready to discuss how your skills can contribute to their goals. Familiarise yourself with their current digital marketing strategies and think about how you can enhance their analytics capabilities.
✨Demonstrate Collaboration Skills
The role requires partnering with tech teams and internal stakeholders. Prepare examples of how you've successfully collaborated with cross-functional teams in the past, particularly in optimising tracking and ensuring data quality across platforms.