Lead Data Insight Analyst

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

• Perform strategic analysis of structured and unstructured data across multiple data sources.
• Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate actionable insights and address reporting needs.
• Defines data requirements and gathers and validates information, using judgment and statistical tests.
• Support creation of Data Quality rules to bring data under formal governance.
• Identifies innovative and creative opportunities to develop data insights and maximise data usage to develop new strategies and improve business performance.
• Acts as a Subject Matter Expert (SME) for key systems / processes in subject teams and day-to-day functions
• Ability to provide complex Business Intelligence solutions involving SQL, Python
• Helping the team and guiding the junior team members
• Extensive engagement with users (including senior management) for understanding & translating their requirements into user friendly dashboards / insights.
• The incumbent will be expected to up-skill on an ongoing basis to also venture into Advanced Analytics and be familiar with data science languages like Python and R
• Identify and manage risk in the area of responsibility including resolve blockers and bottlenecks.
• A university degree in Computer Science, Data Analysis or similar education and work experience
• Minimum of 4 years' experience in a similar role or as a data analyst
• Experience on analysing mobile applications data.
• Experienced in preparing business reports and professional documentation.
• Exceptional analytical skills
• Good knowledge and understanding of the power and value of data with an ability to apply technology solutions to meet business needs.
• Ability to assess stakeholder needs to improve customer experience, show resilience under pressure, and provide best in class solutions.
• Delivery-focused, with ability to meet agreed deadlines and delivery high quality output.
• Experience in dealing with requests and queries from senior management.
• Must have worked on mobile app data analysis.

Technical