What will you do?

• Understand the big picture to define business capabilities and go forward roadmap.
• Analyze and define user needs and translate them into requirements/epics/user stories/data requirements/data mapping documents
• Analyze and define data needs to build out the data and analytics platform for HNW/UHNW insurance space
• Expand and grow existing platform capabilities to solve new data problems and challenges
• Identify opportunities for new data acquisition and new uses for existing data resources
• Analyze and document how systems, processes, procedures, and clients will be impacted by future development with a focus on the links between processes, systems and data throughout the organisation.
• Create and/or review and provide comments on business and technical documentation.
• Support business on the roll-out of what has been developed with a focus on end-to-end validation.
• Collaborate with multiple stakeholders, influencing and sharing recommendations

What do you need to succeed?

• University degree in business or technology or equivalent experience.
• 5 to 10 years of progressive experience as a Business & Systems Analyst with both waterfall and agile methodologies.
• Experience in the life insurance or related financial services industry
• Experience in data analysis, data visualization, data and integration modelling or supporting a data and analytics platform
• Experienced in transformational system work, moving from legacy system to modern system.
• Experience working with client facing technologies/digital engagement platforms.
• Experience in AWS Data service components is an asset
• Knowledge of Design Thinking principles.
• Strong analytical skills
• Strong understanding of privacy, compliance, control, and security requirements.
• Strong communication skills with the ability to communicate clearly and simply both complex business and technical concepts and align organization on decisions.
• Ability to work and demonstrate cooperation in a matrixed team environment.
• Comfortable working in ambiguous environments.