Power BI Analytics Lead: Dashboards & Data Insights

prudential; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Prudential is seeking a Senior Analyst / Analytics Specialist for Distribution to build and maintain dashboards, develop semantic models in Power BI, and extract/validate data from the DataHub using SQL. You’ll enable data-driven decision-making, uplift analytics capability, and reduce manual reporting for the Distribution team.

This hands-on role requires solving business problems with data and visualization, and involves partnering with Distribution leaders to translate requirements into

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, CS, or Business Analytics.
• 5+ years of hands-on experience building dashboards and semantic models in Power BI.
• Advanced SQL skills with experience querying large datasets (Databricks or similar).
• Strong data validation and reconciliation capabilities.
• Experience collaborating with business stakeholders to translate requirements into analytics solutions.
• Excellent problem-solving, communication, and stakeholder management skills.
• Experience in insurance, financial services, or distribution analytics is a plus.

Responsibilities

• Design, build, and maintain Power BI dashboards for distribution performance and incentives.
• Develop semantic models to ensure data consistency and usability.
• Write and optimize SQL queries to extract data from the DataHub.
• Perform UAT and data validation across sources.
• Provide ad-hoc analyses and actionable insights for commercial planning.
• Share best practices and train team on Power BI and data access.

Skills

Power BI

SQL

Stakeholder management

Data analysis

Problem solving

Education

Bachelor's degree in Statistics/CS/BA/Engineering

Tools

Databricks

Job description

Prudential is seeking a Senior Analyst / Analytics Specialist for Distribution to build and maintain dashboards, develop semantic models in Power BI, and extract/validate data from the DataHub using SQL. You’ll enable data-driven decision-making, uplift analytics capability, and reduce manual reporting for the Distribution team.

This hands-on role requires solving business problems with data and visualization, and involves partnering with Distribution leaders to translate requirements into