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Optimisation Manager

Job Posted: 2 hours ago

  • Salary: £ 350 - 400 / Day

    Job Type: Contract

  • Location: Nationwide

Expire in: a month

Job Description

Optimisation Manager Location: Remote (Occasional travel to offices in Hemel Hempstead) Contract: Outside IR35 Day rate: Up to £400 per day Duration: 12 months Start date: ASAP Key skills: Conversion Rate Optimisation (CRO), optimisation, Insights, planning, analysis, Amplitude Our client are going through a large digital transformation and require additional support with improving their customer experience. The role will be focused on their website and how they can maximise their performance. As Optimisation Manager at you will continuously improve user experience through experimentation and insight. You will collaborate with stakeholders to ensure that they focus on activities that genuinely make a difference to their customers and impact business goals. Key technical skills / experience: - Develop behavioural targeting, personalisation and recommendations for a range of products to improve site performance and customer experience - Producing test reports, user journey analysis and having a solid understanding of tagging mechanics (having Amplitude experience would be very beneficial, as it can take some time to get up-to-speed, but probably hard to find) - Proficiency with Data Tools: Amplitude would be ideal, but experience with other analytics platforms like GA4, Google Tag Manager, or Adobe Analytics is also valuable. - You'll need to extract insights from data to inform decisions. - Ability to demonstrate numerous impactful changes they have been responsible for - Strong stakeholder management (gaining buy-in for ideas, communication of learnings, influencing the product roadmap) - Technical knowledge to set up and deploy experiments in a client side AB testing tool (AB Tasty experience would be ideal, but not essential, as most client side solutions are similar) - Analytical Skills: The ideal candidate should have a strong analytical mindset, with a deep understanding of statistics and experimentation principles. You'll need to be comfortable working with data to guide decisions

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