Job details

Commercial Data Analyst

Job reference: 002977

Closing date: 15/10/2019

Salary: up to £30,000 plus bonus and benefits

Department: Financial Services

Hours per week: 36.17 hours per week

We have an exciting opportunity for a Commercial Data Analyst to join the team covering the areas of trading, credit product performance and development, product monitoring, product and customer profitability, marketing strategy and reporting.  

Reporting to Emma who is our Head of Product Management, you will provide crucial analytical and development support to Financial Services division, achieved by the ongoing monitoring/analysis of acquisition and retention activity against plan, and by creating opportunities to refine marketing activity and product performance.  All with a view to optimising customer experience and business return.

Key Responsibilities in your role as Commercial Data Analyst:

  • Develop a Trading Dashboard for regular reporting of the credit product against plan, to be received by the senior FS team and cross functionally.
  • Design and produce specific analysis to develop or evaluate the product strategy and credit campaigns (acquisition and retention).
  • Production of key business data and commercial insight to Managers, Senior Managers and Directors within the company to be used in business performance reporting.
  • Develop insight into customer and product and profitability to aid forecasting, planning and marketing activity. 
  • Work with other analysts in the FS team e.g. Risk, Fraud, Data Science to create a rounded view of product performance, and with analysts and insight colleagues in Marketing to understand the complete view of the business/customer. 
  • Create and maintain relationships with key stakeholders across the wider business, providing support and insight on a regular or ad-hoc basis, becoming a key go-to person for credit product data and insight.
  • Develop a thorough understanding of all sets of data available to provide a 360 degree view of the commercial proposition.

To succeed in this role, you should be analytical with the ability to spot data trends/anomalies and turn data into insight.  You should be commercially aware and be able to add value to the business by making recommendations based on information and analysis. You should also have experience of statistical packages/techniques along with SAS and/or SQL.


The closing date for this job has now passed.