Associate, Data Analytics

About Singlife

Singlife is a Singapore-founded financial services company focused on helping customers move toward greater financial independence. It uses technology-enabled solutions and a broad mix of products and services to support people in managing their financial wellbeing across different life stages.

Its offerings include insurance plans, employee benefits, financial adviser partnerships, bancassurance solutions, investment and advisory services via the GROW with Singlife platform, and the mobile-first Singlife Account savings plan. The company also serves as the exclusive insurance provider for the Ministry of Defence, the Ministry of Home Affairs, and the Public Officers Group Insurance Scheme.

Singlife is an official signatory to the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, reflecting its focus on sustainability. The company was formed through the merger of Aviva Singapore and Singlife announced in September 2020, creating one of Singapore’s largest homegrown financial services groups in a S$3.2 billion transaction. In March 2024, it was acquired by Sumitomo Life in a deal that valued Singlife at S$4.6 billion and ranked among Southeast Asia’s largest insurance transactions.

Role Overview

The Associate, Data Analytics role is responsible for leading data initiatives, producing actionable insights, and supporting business decisions through analysis, reporting, and data solutions. The role works closely with stakeholders, data scientists, and cross-functional teams to turn business needs into measurable analytics outcomes.

Responsibilities

• Own data initiatives from planning through delivery and share findings with senior stakeholders and management.
• Work with business partners, data scientists, and cross-functional teams to define objectives and clarify analytical requirements.
• Analyze data deeply to uncover trends, insights, and business opportunities, then present them in a clear and practical way.
• Build and execute SQL queries to support reporting, insight generation, and ad hoc analysis.
• Create and support data pipelines and workflows that can handle large datasets efficiently.
• Design visual dashboards and charts that make complex information easier to understand for technical and non-technical audiences.
• Apply data modeling principles and contribute to enterprise model design and development.
• Record methods, processes, and results thoroughly to support knowledge transfer and maintain reliable documentation.
• Perform exploratory analysis and use statistical methods to identify patterns, relationships, and trends in large datasets.
• Support campaign execution from audience sizing and lead extraction to post-campaign performance review.
• Assist in experiment design to test assumptions and evaluate model outcomes.
• Spot and resolve data quality issues or missing data that could affect analysis.

Requirements

• Between 1 and 5 years of experience in data analytics or a closely related discipline.
• Strong SQL skills are required.
• Python knowledge is preferred.
• Comfort with Microsoft Excel and data visualization platforms, ideally Qlik.
• Background in life insurance is an advantage.
• Experience with GenAI tools or AI agents for coding or analysis is preferred.
• Strong written and verbal communication skills, with the ability to explain complex analysis in a simple, actionable way.
• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or another quantitative field.

Additional Information

This is a full-time, onsite position in Singapore. No salary, stipend, vacancy count, start date, or application deadline was provided in the source.

Experience

The role calls for 1 to 5 years of relevant experience.