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The Optimisation Lead is responsible for leading Candyspace’s analytics, insight and experimentation offer across client programmes. The role exists to help clients make better digital decisions, create stronger customer experiences and drive measurable improvement through a structured, evidence led approach to optimisation.
Job Responsibility:
Data collection: Own the measurement and tracking approach across client products
Data presentation: Translate complex datasets into clear, compelling outputs
Interpreting results: Analyse user behaviour and performance data to uncover what is driving outcomes
Testing strategy: Define KPI frameworks, optimisation roadmaps and testing strategies
Experimentation: Lead the design, delivery and evaluation of experiments across A/B testing, segmentation and personalisation
Tools: Guide the selection, application and evolution of analytics and experimentation tools
Qualitative insights: Combine quantitative evidence with qualitative insight
Client meetings: Lead client discussions on insight and optimisation with confidence
New business: Lead the optimisation and experimentation contribution to new business activity
Strategy: Advise clients on experimentation strategy
Requirements:
Experience using Optimizely, Dynamic Yield & VWO
Naturally curious and motivated by understanding what drives customer behaviour, performance and growth
Passionate about optimisation, experimentation and using evidence to improve digital experiences
Proactive and self motivated, with a strong sense of ownership
Ambitious and excited by the opportunity to help shape and grow optimisation offer
Collaborative and positive with a team first mindset
Confident in communicating with clients and colleagues
Commercially aware, with good judgement
Invested in raising standards, sharing knowledge and contributing beyond the immediate remit of the role
Adaptable and resilient, comfortable working in a fast moving environment across multiple priorities
Keen to keep learning, improving and grow with the role over time