Digital Data Analyst

Position: Digital Data Analyst (12 month contract)

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.

The workload will be evenly split across three areas:

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.

Key Responsibilities Dashboard Development & Data Visualisation

Develop, maintain, and enhance dashboards in Qlik Cloud and Looker Studio to support teams across digital marketing.

Visualise complex datasets clearly, ensuring dashboards are intuitive and aligned to stakeholder needs.

Maintain consistency and accuracy across reporting outputs.

Digital Marketing Performance Analysis

Analyse Paid, SEO, and website performance to identify trends, opportunities, and areas for improvement.

Provide insight into campaign effectiveness, user behaviour, funnel performance, and traffic quality.

Work closely with Paid and SEO stakeholders to translate insights into practical actions.

Analyse performance across attribution pathways to provide insight that supports channel investment discussions.

Conduct regular analysis to benchmark campaign performance against industry standards and key competitors, providing insights on market share, channel presence, and missed opportunities.

Build structured, asset-level performance models to assess different content types, identifying the themes, formats, topics, and video structures that generate the strongest engagement and downstream conversion uplift.

CRO & Experimentation Insights

Conduct behavioural analysis to identify friction points and optimisation opportunities.

Measure A/B test outcomes, including uplift calculations and audience-level performance.

Produce clear, structured experiment reports with actionable recommendations.

Analyse experiment performance across segmented audiences, device types, and journeys to reveal deeper behavioural patterns.

Support experiment design by validating test readiness, ensuring clear success metrics, sufficient traffic, and accurate data collection before launch.

Support CRO squads with insight that informs experiment prioritisation based on behavioural evidence and historical performance.

Use structured experimentation templates and documentation to ensure consistent reporting and support multi-market test rollout.

Data Quality & Validation

Validate data used in dashboards and reports to ensure accuracy and reliability.

Identify unusual patterns, inconsistencies, or data gaps and work with relevant teams to investigate.

Maintain documentation on reporting definitions, metrics, and dashboards.

Support the creation and upkeep of clear taxonomies, naming conventions, and variable definitions to ensure consistent reporting across Paid, SEO, CRO, and Content teams.

Ensure alignment of reporting definitions and terminology across dashboards and experimentation outputs to support multi-market consistency.

Cross-Team Collaboration & Insight Delivery

Collaborate with Paid, SEO, CRO, engineering, product, and regional teams to support shared performance objectives.

Present insights in a clear and engaging way, ensuring recommendations are commercially actionable.

Support the adoption of data-led decision-making across the digital marketing function.

Key Competencies

Analytical Excellence:
Ability to work with large datasets and derive clear, meaningful insights.

Digital Marketing:
Solid understanding of Paid, SEO, website behaviour, and customer journeys.

Data Visualisation:
Strong capability in Qlik Cloud and Looker Studio, producing clear and effective dashboards.

Experiment Analysis

Competency:

Ability to interpret controlled experiments, assess significance, and analyse performance across segments where relevant.

Content-to-Behaviour Insight:
Able to connect content performance to user engagement patterns, behavioural outcomes, and conversion indicators.

Data…