- Responsible for delivering data analysis, generating customer insights, and identifying business opportunities to support customer growth and business development

- Support the end-to-end CRM campaigns execution by gathering business requirements, providing the campaign sizing, lead generation, A/B test, and performance tracking.

- Identify valuable data sources (i.e.: campaign data, digital data, etc.) and collaborate with IT team and data engineers to automate collection processes

- Design, develop and automate the process and tools in support of the performance monitoring and MIS reporting that are aligned with various business KPIs

- Identify and recommend business opportunities by collecting and organizing customer data from a variety of CRM digital touchpoints

- Leverage predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business challenges

- Support cloud migration project, from SAS-based reporting process to Python

- Occasionally support ad-hoc reporting and perform routine data checks

- University graduate in Computer Science, Information Systems, Statistics, Data Science, or a related field

- 2 - 5 years of experience in data analytics, preferably within the financial services industry

- Be passionate about data, with a proven ability to drive business results with their data-based insights

- Strong business problem-solving and root cause analysis skills

- Sound communication skills to work with business partners of different levels and backgrounds. Able to articulate ideas verbally and in written forms

- Proficiency in programming languages such as Python, SAS & SQL

- Knowledge in machine learning and data science techniques to solve complex problems

- Knowledge in Azure Cloud platform and ML pipeline development would be an asset 

- Able to work independently, pro-active, team player, creative and detail-oriented