Digital Data Analyst supporting Digital Marketing performance through insights and dashboards for Paid, SEO, and CRO teams. Collaborating with various stakeholders to drive evidence-based decision-making.
Responsibilities
The Digital Data Analyst will sit within the Data, Insights & Analytics team and play a key role in supporting performance across the wider Digital Marketing function.
This role is responsible for transforming existing digital data into clear insights, developing effective dashboards, and enabling evidence-based decision-making for Paid, SEO, and CRO teams.
Data & Dashboard Projects – designing and maintaining dashboards, supporting reporting frameworks, and providing analytical support for global initiatives.
Paid & SEO Performance Analysis – analysing paid and organic performance to identify opportunities for optimisation and growth, supporting channel teams with insight into campaign effectiveness, search visibility, and user intent.
CRO & Experimentation Insights – generating behavioural insights and delivering robust test measurement that directly informs roadmap prioritisation, including uplift calculations, friction analysis, and clear experiment reporting.
Content Performance Analytics – analysing content performance at asset level, including ROI, video analytics, engagement patterns, and user behaviour across formats. Providing insights that support content strategy, creation, and optimisation.
This role requires strong analytical ability, excellent data visualisation skills in Qlik Cloud and Looker Studio, and a solid understanding of digital marketing performance channels.
Requirements
Bachelor’s degree in Marketing, Data, Analytics, Business, Economics, or a related field (or equivalent professional experience).
3–5 years of experience in digital analytics, marketing analytics, or a related insight-focused role.
Proven experience in analysing Paid and SEO performance data.
Experience supporting CRO or experimentation programmes is advantageous.
Qlik Cloud (Essential): Confident in dashboard development and visualisation best practice.
Looker Studio (Essential): Skilled in creating clear, blended data reports.
Google Analytics 4 (Essential): Strong understanding of events, conversions, Explorations, user behaviour, and attribution.
FullStory or Similar UX Analytics Tools (Essential): Experience using behavioural analytics to identify friction points, user journeys, and optimisation opportunities.
Optimizely or Similar A/B Testing Platforms (Desirable): Familiarity with experiment setup, measurement, and analysis is beneficial.
Power BI (Desirable): Useful for supporting US dashboards and cross-regional reporting.
Familiarity with Google Ads, Search Console, and SEO tools.
Ability to analyse A/B test performance and calculate uplift.
Strong proficiency in Excel/Google Sheets for diagnostic analysis.
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