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The Digital Optimisation Manager will be responsible for leading site-optimisation focused experimentation within the Digital Trade team. They will utilise existing tooling and be the focal point for Trade team recommendations for digital product improvements. Responsible for understanding customer journeys and performance of our website and sharing data and insights with all internal stakeholders. They are expected to analyse the site experience from both a category-agnostic and category-specific viewpoint. They are expected to collaborate closely with the Category Trade Managers to translate these insights into practical site optimisation activities in conformance with our digital strategy.
Key responsibilities
Site Optimisation & Experimentation
- Lead the work to determine and action category-agnostic site optimisation improvements (e.g. search optimisation through Algolia)
- Collaborate with the Category Managers to determine category-specific site optimisation activities, challenging category discrepancies without a clearly understood purpose
- Provide project management for trade-led initiatives
- Lead site optimisation focused experimentation activity
- Work with category managers to collate experiment ideas into a single prioritised backlog
- Manage the experiments through their lifecycle ensuring they are setup correctly and the results analysed in a standardised manner
Training & Support
- Continued training and development for our key trading tools: Algolia, ContentSquare Dynamic Yield, Pyramid BI, Power BI
- Ensure we are getting maximum value from existing optimisation, and analytical tools.
Data & Research
- Use data and analytics to understand site performance and our customer’s behaviour and share insights with relevant teams
- Understand internal and external benchmarks to identify risks and opportunities
- Provide regular site mappings and updates in ContentSquare for internal stakeholders.
- Collaborate with relevant 3rd parties or internal IT and Analytics teams to request enhancements to our data & tooling capability or request specific research and insights
- Provide insights to support the Product/UX teams when investigating new experiences
Product development
- Contribute to data led business cases, presenting back to internal stakeholders for backlog consideration
- Use insights to recommend new experiments or digital product improvements to the Digital Product/UX teams
- Collate Trade team recommendations for new experiments or digital product improvements and be the main contact point for the Product/UX teams
Knowledge, skills & abilities
- Google Analytics
- Power BI Analytics
- Contentsquare
- Dynamic Yield
- Algolia
- Web trade/merchandising background
- Detail oriented
- Qualitative and quantitative research
- Understanding of multivariate/split testing
- Project management
