About this role
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.
1. BAU Reporting & Analytics
· Own and manage BAU reporting and dashboard activities for assigned business functions, ensuring accuracy, consistency, reliability, and timely delivery.
· Develop deep expertise in relevant business processes, data structures, data sources, and business rules, serving as a trusted analytics partner for business stakeholders.
· Proactively identify opportunities to streamline, automate, and standardize reporting and data-processing activities.
· Maintain robust data definitions, business rules, data dictionaries, calculation logic, and technical documentation to strengthen data governance and ensure knowledge continuity.
· Continuously improve reporting and analytical solutions by adopting appropriate technologies, analytical techniques, and data visualization best practices.
· Proactively monitor data quality and reporting processes, identify potential issues or risks, and drive appropriate corrective actions to ensure business continuity.
2. Project-Based Analytics & Business Intelligence
· Partner with stakeholders to understand business objectives, challenges, and opportunities, translating business needs into clear analytical requirements and fit-for-purpose solutions.
· Design and deliver dashboards, BI solutions, and deep-dive analyses that provide actionable insights and support data-driven decision-making.
· Prepare and validate datasets to support advanced analytics, predictive modeling, and Machine Learning initiatives in collaboration with local and regional analytics teams.
· Manage assigned analytics initiatives across the delivery lifecycle, from requirement clarification and data preparation through development, validation, UAT, implementation, and ongoing enhancement.
· Ensure analytical solutions are scalable, maintainable, well-documented, and aligned with established data and reporting standards.
3. Business Partnership & Stakeholder Management
· Build strong working relationships with business stakeholders and act as a trusted analytics partner for assigned functions.
· Translate business questions and operational challenges into measurable analytical problems, KPIs, and data-driven solutions.
· Provide analytical perspectives and recommendations to support business performance monitoring, operational improvement, and management decision-making.
· Communicate analytical findings effectively to technical and non-technical stakeholders, transforming complex data into clear, concise, and actionable insights.
· Proactively challenge unclear or inefficient reporting requirements and recommend more effective, scalable, and sustainable solutions.
4. Knowledge Sharing & Team Contribution
· Promote knowledge sharing and contribute to building stronger business, data, analytics, and technical capabilities across the team.
· Ensure appropriate documentation, backup, and knowledge transfer for critical analytics processes and reporting solutions.
· Coach and support junior team members when needed, sharing best practices in data processing, analytics, visualization, and problem-solving.
· Act as a Subject Matter Expert (SME) in assigned business and data domains and contribute to the standardization of analytics practices.
· Contribute to broader team priorities, transformation initiatives, and other assignments as required by management.
Job Requirements
Education & Experience
· Bachelor's degree or above in Data Analytics, Business Analytics, Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, Finance, or a related discipline.
· Typically 4–6 years of relevant experience in Data Analytics, Business Intelligence, Data Management, Reporting, or a related field.
· Demonstrated experience working with business stakeholders and independently delivering reports, dashboards, analytical solutions, or data-driven initiatives.
· Experience in insurance, financial services, banking, or another data-intensive industry is an advantage.
Technical & Analytical Capabilities
· Strong hands-on experience with Power BI or equivalent Business Intelligence platforms, including dashboard development, semantic/data modeling, visualization, and performance optimization.
· Strong proficiency in SQL, with the ability to independently extract, transform, reconcile, and analyze large and complex datasets.
· Good understanding of data modeling, ETL/ELT processes, data quality controls, data validation, and reconciliation principles.
· Experience with modern data platforms such as Data Lake, Data Warehouse, Databricks, or cloud-based analytics environments is highly desirable.
· Strong proficiency in Excel and practical experience with analytical and reporting automation tools.
· Experience with Python, R, Power Automate, or similar analytics and automation technologies is an advantage.
· Ability to develop well-structured data models, KPIs, business rules, and reusable analytical solutions.
· Strong analytical and problem-solving skills, with the ability to identify patterns, investigate root causes, and translate data into actionable business insights.
Business & Stakeholder Capabilities
· Strong business acumen with the ability to understand business processes, operational challenges, and key performance drivers.
· Ability to translate business requirements into data requirements, analytical approaches, KPIs, dashboards, and actionable recommendations.
· Strong stakeholder management and communication skills, with the ability to work effe
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