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.
Strong statistical concepts and analysis skills - read, process, derive, plot, compare
Basic understanding on R, MATLAB, Python
SQL & Access proficiency (ability to create, maintain, alter & query databases)
Proficient in use of productivity tools like MS-Office and SQL Server
Strong verbal and written communication skills, strong interpersonal and active listening skills
Considerable experience communicating with clients clearly and effectively through various media formats
Ability to multi-task, detail oriented with strong organization and time management skills
The candidate should be self-motivated and work well in a fast-paced and complex environment
Ability to story tell using data and to follow through on action items
Curious, ability to step out of comfort zone, not afraid to make mistakes and challenge status quo