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Digital Data Analyst
Job in
Crawley, West Sussex, RH11, England, UK
Listed on 2026-01-02
Listing for:
Rentokil Initial Hong Kong
Contract
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Digital Data Analyst (12 month contract)
Join to apply for the Digital Data Analyst (12 month contract) role at Rentokil Initial Hong Kong
.
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.
Responsibilities- 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.
- 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.
- 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.
- 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.
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