Senior Analyst - Retail, Customer Data

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Senior Analyst - Retail, Customer Data

Senior Analyst - Retail, Customer Data

The pay rate on offer is £450 - £550 per day.The duration of the role is 3 months.The location of the role is Paddington, London. The role can be fully remote if not local to the London area.The client is an iconic, multinational high-street retailer.SummaryPutting customers at the heart of everything, we are looking for a Senior Customer Analyst to join our exciting customer loyalty team. We're continuing to turbocharge our loyalty programme, and are launching it into the Republic of Ireland.Playing a meaningful role in providing the customer led analytics to understand the behaviours that are driving the performance of the scheme. The insight generated will quantify the success from both a customer behavioural change and a financial perspective, as well as driving vital future action.Key accountabilitiesGeneration of customer insight analytics to enable the complete comprehension of the loyalty programme in Ireland. Being the analytical specialist, playing a key insight led role in crafting our loyalty card's future.Build and maintain automated processes to facilitate the production of visually engaging self-serve dashboards which provide live common customer insight and performance metrics for the loyalty scheme.Evaluation through metrics including, but not limited to, customer behavioural change, customer engagement and profitability. Measuring success against the original business case.Packaging up and presenting the story to key business groups to generate consensus and engagement across the business. Sharing analytical results and methods in a commercial and compelling manner, with ability to visualise insights in a clear and concise format, enabling self-serve.Ensuring that findings are shared within the team and the business to drive a culture of data. Actively participate in training and data/analytics sharing sessions. Being an active mentor and senior member of the CX and Loyalty team, as well as the wider analytical community.Key skills and experienceExperience within one of Retail OR Customer Data analytics is highly desirable.A sophisticated user of SQL. Experience with PySpark and Python would be beneficial, but not required.Experience and comfort in using Power BI or similar to build reporting suites. DAX exposure desirable.Comfortable in mining large and sophisticated data sets - both structured and unstructured data.Experience and training of using both simple and complex statistical and data science techniques (e.g., forecasting, regression, clustering etc) to deliver business projects.Degree level or higher in a numerate subject (e.g., Maths, Statistics, Economics, Operational Research or Computer Science).Experience in running testing and measurement processes in digital environment also desirable.