Jamie Bell
Associate Director of User Research @Moody's Analytics
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WORK HISTORY
Associate Director of User Research @Moody's Analytics
EDUCATION
The Open University
Foundation degree, Business/Commerce, General
SKILLS
ABOUT JAMIE BELL
I am a specialist Lead User Researcher, highly accomplished in customer and user research, with the ability to use qualitative and quantitative data effectively to build an accurate picture of business performance from a customer perspective. I have experience in successfully delivering User Experience (UX) research projects to a high standard against time, quality and scope measures, adhering to strict regulatory requirements and user-centred design principles. I have a very good understanding of customer profiling and the ability to identify appropriate customer demographics to ensure research is gathered from an appropriate target audience to produce accurate results. I am also skilled in creating and developing high quality surveys and interviewing methods to produce engaging questions across a numerous communication channels to successfully deliver quantitative and qualitative research projects. I am an accomplished insights manager, with a proven track record of transforming large and complex data sets into actionable insights and management information to make effective business decisions. I am highly skilled in board level reporting, with experience of producing valuable insight reports and confidently presenting them in board meetings across Europe. I am also a highly skilled problem solver, with vast experience in managerial roles to understand underperforming business areas and drive appropriate customer experience improvements. I have a strong skillset in root cause analytics and have demonstrated a high ability to produce a holistic view of problematic business areas to ensure the correct action is taken to drive necessary improvements. I have led improvement projects alongside senior stakeholders to explore potential solutions to root cause problems, using action/priority matrixes and benefit realisation models to identify the most appropriate action to take based on cost, complexity and impact factors.
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