Under the guidance of the Head of Insights and Proposition, develop analytics models, derived from quantitative data as well as qualitative "outside-in" feedback with visualization tools to support Customer Insights and Analytics activities.
Apply numerical analyses on internal data sources to provide a deeper understanding of Fidelity's customer/client segments.
Use statistical tools to develop actionable insights that will enhance client engagement and satisfaction levels. Develop output reports and dashboards using visualization tools.
Identify and test new data sources to determine their significance in predictive model performance. These sources are extremely varied in type of data, size of data, and purpose of data.
Work with the business units to undertake customer segmentation studies.
Support the development of scoring models, customer lifetime value models, and propensity modelling.
Work with Technology teams to integrate model output with other marketing automation and other customer relationship management systems.
Experience and Qualifications Required
Bachelor's degree (Math/Computer Science/Statistics) or equivalent experience.