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Data Analyst Position

1 week ago


Singapore This Is An IT Support Group Full time
Job Description

At Prudential, we are dedicated to being 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.

In this role, you will be responsible for analyzing, interpreting operational data to provide actionable insights and develop accurate reports that drive business decision-making and process optimization.

This role ensures data accuracy, identifies trends and supports performance tracking while collaborating with teams to enhance operational efficiency.

  • Analyze large datasets to identify trends, patterns, and provide insights to support business decisions and strategies.
  • Develop and maintain interactive dashboards and reports using data visualization tools (e.g. Power BI).
  • Conduct process mining to identify inefficiencies, bottlenecks, and opportunities for process improvements.
  • Monitor data quality and ensure accuracy, completeness, and consistency in management reporting.
  • Manage and respond to data requests from internal stakeholders, ensuring timely and accurate delivery of required insights.
  • Leverage data intelligence tools and methodologies to support continuous improvement in insurance operations.

What We're Looking For

To excel in this role, you will need:

  • A degree in Data Science, Business Analytics, Computer Science, Statistics, or a related discipline.
  • Experience in data visualization tools (e.g. Power BI, Tableau, Qlik).
  • Strong proficiency in Excel and experience with basic SQL.
  • Attention to detail and commitment to ensuring data accuracy.
  • Good verbal and written communication skills, ability to present data clearly.
  • Pro-active and self-motivated, able to take the initiative independently and work under minimal guidance/supervision.
  • Positive attitude and willingness to learn and collaborate.