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Cx data and insight analyst

Egham
Permanent
Cedar Recruitment
Data insight analyst
£40,000 a year
Posted: 16 September
Offer description

CX Data & Insight Analyst Location: Egham (Hybrid - 3 days in the office per week) Salary: up to £40,000 About the Role Our client is seeking a CX Data & Insight Analyst to play a pivotal role in shaping how customer experiences are understood and improved. This role is perfect for someone who loves working with data, has a curious mindset, and is passionate about uncovering insights that drive meaningful change. As part of the Customer Experience team, you'll leverage analytics, machine learning, and AI-driven tools to identify trends, behaviours, and opportunities across the customer journey. You'll transform complex data into compelling insights that inform strategic decision-making and improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory analysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree (2:1 or above) in a quantitative field such as Statistics, Mathematics, Data Science, or similar. Strong analytical and problem-solving skills with a keen eye for detail. The ability to communicate insights clearly and persuasively to non-technical audiences. Experience with data tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across multiple European locations. Flexible working arrangements and job share opportunities. A chance to work with cutting-edge AI and analytics tools. A collaborative and supportive environment where your insights directly impact customer experience.

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