Digital Analytics Specialist

Location: London, Manchester, Edinburgh

Position: Data Analytics Consultant

Career Level: Specialist (L9)

Key Responsibilities

• Set strategic vision for digital analytics in line with broader client landscapes, e.g. marketing, technology, data etc.
• Establish client’s measurement strategies for digital assets, including web and app.
• Audit and define digital analytics tagging implementations with business and technical stakeholders to ensure accurate tracking requirements.
• Define dataLayer structures and other key requirements for digital analytics purposes.
• Analyse website traffic, user engagement, and conversion rates to identify optimization opportunities.
• Create dashboards and reports to track key performance indicators (KPIs) and communicate insights to stakeholders.
• Employ and implement digital analytics tools (e.g., Google Analytics, Adobe Analytics) to monitor campaigns and identify improvement areas across web and apps.
• Collaborate with Marketing teams to measure campaign effectiveness and recommend ROI‑maximising strategies.
• Work with multiple teams across MMM projects within business and internal analytics groups.
• Collect and prepare data from various sources, ensuring quality and consistency for analysis.
• Assist in development and validation of marketing mix models, selecting appropriate techniques to ensure robust accuracy.
• Stay updated on industry trends and best practices in digital analytics to drive innovation.

Skills Profile

• Strong experience in digital analytics or similar role, preferably in a retail or e‑commerce environment.
• Advanced understanding of matrixed organisations and comfort managing cross‑functional teams.
• Skilled in digital analytics and experience analytics platforms (e.g., Google Analytics, Adobe Analytics, ContentSquare, Decibel).
• Experience delivering end‑to‑end MMM projects.
• Experience using Tag Management Systems (e.g., Google Tag Manager, Tealium, Adobe Launch).
• Proven analytical skills with ability to interpret complex datasets and generate actionable insights.
• Strong communication skills and ability to present findings to non‑technical stakeholders.
• Experience with data visualisation tools (e.g., Tableau, Power BI).
• Problem‑solving mindset with passion for continuous improvement.

Benefits

• 30 days of leave per year plus 3 extra volunteering days for charitable work.
• Family‑friendly and flexible work policies.
• Attractive pension plan with financial wellbeing support and resources.
• Private healthcare insurance and mental wellbeing support.
• Employee Assistance Programme, career development and counselling.
• Generous parental leave offerings.

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