Lead the development of cost and utilization reports (CUR) to support internal broking teams in deriving actionable insights for client engagements
Analyse historical claims and utilization data to identify key cost drivers, trends, and anomalies impacting employee benefits programmes
Produce detailed analytics including top 10 analysis, utilization patterns, and cost benchmarking to support renewal strategies and decision-making
Translate complex data outputs into clear, insightful executive summaries and commentary to support broker presentations and client discussions
Design and maintain dashboards and visualization tools (e.g., Power BI) to enhance reporting efficiency and data storytelling
Work closely with internal brokers to understand business needs and tailor analytics outputs accordingly
Provide analytical support during client meetings where required, including explaining methodologies, insights, and recommendations
Respond to ad-hoc data requests with creativity and a problem-solving mindset, ensuring timely and accurate delivery
Continuously refine reporting templates, processes, and data models to improve quality, consistency, and turnaround time
Ensure data integrity, accuracy, and consistency across all reports and analyses
Collaborate with cross-functional stakeholders (e.g., brokers, insurers, vendors) for data gathering and validation
Stay updated on industry trends, cost drivers, and analytics best practices within employee benefits
Key Performance Indicators (KPIs)
Deliver CUR reports within 2 weeks upon receipt of complete data, with proactive stakeholder communication in case of delays
Maintain high standards of data accuracy, insight quality, and clarity of executive summaries
Strong stakeholder satisfaction from internal broking teams (timeliness, usability, and relevance of insights)
Contribution to revenue generation through:
Supporting sales and pitching activities with analytics-driven insights
Identifying opportunities to position analytics outputs as standalone value-added services/projects
Qualifications
The Requirements
Minimum 3 years of experience in data analytics, preferably within employee benefits, insurance, or healthcare (employee benefits experience is an advantage)
Advanced proficiency in Microsoft Excel (e.g., pivot tables, complex formulas, data modelling) and Power BI (or similar visualization tools)
Ability to interpret large datasets and translate findings into meaningful business insights and actionable recommendations
Strong written and verbal communication skills, with the ability to craft clear executive summaries and storytelling narratives
Ability to work closely with internal stakeholders and support client-facing discussions where required
Creative problem-solving skills with the ability to handle ambiguous or ad-hoc data requests
Strong attention to detail and commitment to data accuracy and quality
Ability to work independently as a sole contributor while managing multiple priorities in a fast-paced environment
Sense of accountability and ownership of deliverables, with a proactive and self-driven mindset
Curiosity and willingness to continuously learn, improve processes, and challenge the status quo
