Senior Analyst, Data Analytics

Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives.

In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment and advisory solutions through its GROW with Singlife platform. It also offers the Singlife Account, a mobile-first insurance savings plan.

Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, affirming its commitment to finding a better way to sustainability.

The merger of Aviva Singapore and Singlife was announced in September 2020 and created one of the largest homegrown financial services companies in Singapore in a deal valued at S$3.2 billion. It was the largest insurance deal in Singapore at the time.

Singlife was subsequently acquired by Sumitomo Life in March 2024, one of Japan's leading life insurers, which valued Singlife at S$4.6 billion, making the transaction one of the largest insurance deals in Southeast Asia.

Key Responsibilities

• Drive campaign execution end-to-end, from pre-sizing of campaign bases to extraction of campaign leads to post-campaign results analysis.
• Write and run SQL queries for purposes of campaign executions and generating in-depth insights.
• Drive data projects end-to-end, presenting results to key stakeholders and senior management.
• Collaborate with stakeholders, data scientists and cross-functional teams to understand business objectives and synthesize requirements.
• Generate insights and in-depth analysis from data and present findings to key stakeholders in a clear and concise manner.
• Develop and maintain scalable data pipelines and automate workflows for recurring campaign extractions and other purposes.
• Create impactful insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Contribute to the design and implementation of experiments to test hypotheses and validate model performance.
• Document methodologies, procedures, and findings in a clear and concise manner to ensure knowledge sharing and maintain accurate records.
• Demonstrate a solid understanding of data modeling fundamentals and contribute to the design and development of enterprise data models where applicable.
• Identify and resolve any data quality issues or data gaps that might hinder analysis.
• Conduct exploratory data analysis and apply statistical techniques to identify patterns, trends, and correlations in large and complex datasets.
• Support or contribute to machine learning / advanced analytics use cases where applicable.

Requirements

Experience

• Minimum 1 year of experience in data analytics or a related field.
• Strong proficiency in SQL is mandatory and working knowledge of Python for data analysis, automation, or scripting is strongly preferred.
• Experience with data platforms (e.g., cloud data warehouses like Snowflake, BigQuery, or similar) is a plus.
• Experience building automated workflows, pipelines, or reusable data assets is an advantage
• Familiarity with workflow orchestration / automation tools (e.g., Airflow) is advantageous
• Experience in using GenAI tools or AI agents for coding purposes or data analysis is preferred.
• Proficiency in Microsoft Excel and data visualization tools (preferably Qlik).
• Good communication and presentation skills, with the ability to translate complex results into understandable and actionable insights.
• Previous industry experience in life insurance is preferred.

Education

• Bachelor's degree or above in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field

If you find yourself able to demonstrate the criteria above, apply with us now. We look forward to your application.