Senior Analyst - Retail, Customer Data

Job Type:
Digital Workspace
Job reference:
7 days ago

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.


Putting 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 accountabilities

  • Generation 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 experience

  • Experience 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.
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