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.
Key Responsibilities:
- 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.
Minimum Experience, Behaviors and Education Requirements:
- 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
- Demonstrable experience of working in a data-related role; data analysis, architecture, data structures & modelling, data governance with hands-on technical experience of using associated technologies
- Knowledge of ETL processes, and data warehousing principles
- Expertise and experience in data visualization with advanced Tableau skills
- Flexibility to work on and learn various technologies is a must
- Advanced knowledge of SQL and Python or Scala
- Experience with business tools like JIRA, Confluence will be a plus
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.
