Our client is looking to hire a Predictive Modelling Analyst to provide commercial and analytical support to the business specifically focussed on Marketing. You will have experience of segmentation and working with large data sets have a commercial mindset and be great with SQL or SAS. PURPOSE OF ROLE: · To provide commercial and analytical support to the business specifically focussed on Marketing. · Analysis of a broad range of data from the business including product, customer and store. · To build, develop and maintain statistical models across our customer data to create insight led campaigns and intervention across our customer base. · Provide insight into what is driving the business and highlight and risks or opportunities that may be relevant. · Work closely with the Senior CRM Manager to identify, prioritise and deliver a wide range of analysis projects to the business. · Use insight from our data to make recommendations for change within the business. KEY ACCOUNTABILITIES: · Provide robust accurate reporting of business information to the business within agreed timescales. · Provide an independent view on the effectiveness of all business initiatives and make recommendations for considerations. · Challenge where appropriate to ensure Iceland is maximising best value from any investments that we make. · Use all available data to make conclusions on business performance that will help influence decisions on how we improve our trading proposition. · Build and maintain strong relationships with key stakeholders across the business. · Work closely with other members of the team to share best practice. · Provide ad hoc analytical support to the wider business. TECHNICAL SKILLS: · SQL or SAS knowledge is essential. · Statistical modelling working experience is a must. · Experience of developing segmentation and propensity models required. QUALIFICATIONS / KNOWLEDGE / EXPERIENCE: · Minimum 2 years working in an analyst type role. · Experience of working with senior people. · Prior experience within a Marketing environment. · Ability to present complex information in a simple and effective way. · Mathematics, Statistics or Physics background would be advantageous. · Accurate with a keen eye for the detail.