Senior Analyst, Data Analytics

<p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">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.</span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;"> </span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">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.</span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;"> </span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">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.</span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;"> </span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">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.</span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;"> </span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">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.</span></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><b style="font-family:DarwinSans, 'Noto Sans Variable';font-size:14px;"><span style="font-size:10pt;line-height:107%;"><br /></span></b></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><b style="font-family:DarwinSans, 'Noto Sans Variable';font-size:14px;"><span style="font-size:18px;line-height:107%;font-family:Arial;">Key Responsibilities</span></b></p><ul><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;text-indent:-0.25in;">Drive campaign execution end-to-end, from pre-sizing of campaign bases to extraction of campaign leads to post-campaign results analysis.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Write and run SQL queries for purposes of campaign executions and generating in-depth insights.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Drive data projects end-to-end, presenting results to key stakeholders and senior management. </span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Collaborate with stakeholders, data scientists and cross-functional teams to understand business objectives and synthesize requirements.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Generate insights and in-depth analysis from data and present findings to key stakeholders in a clear and concise manner.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Develop and maintain scalable data pipelines and automate workflows for recurring campaign extractions and other purposes.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Create impactful insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Contribute to the design and implementation of experiments to test hypotheses and validate model performance.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Document methodologies, procedures, and findings in a clear and concise manner to ensure knowledge sharing and maintain accurate records.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Demonstrate a solid understanding of data modeling fundamentals and contribute to the design and development of enterprise data models where applicable.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Identify and resolve any data quality issues or data gaps that might hinder analysis.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Conduct exploratory data analysis and apply statistical techniques to identify patterns, trends, and correlations in large and complex datasets.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Support or contribute to machine learning / advanced analytics use cases where applicable.</span></li></ul><p style="margin:0in;font-family:Calibri;font-size:11pt;"><b><span style="font-family:Arial;font-size:18px;"><br />Requirements</span></b></p><p style="margin:0in;font-family:Calibri;font-size:11pt;"><u style="text-indent:-0.25in;font-family:DarwinSans, 'Noto Sans Variable';font-size:14px;"><span style="font-size:18px;font-family:Arial;">Experience</span></u></p><ul><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;text-indent:-13.5pt;">At least 1-5 years of experience in data analytics or a related field.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Strong proficiency in SQL is mandatory and working knowledge of Python for data analysis, automation, or scripting is strongly preferred.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Experience with data platforms (e.g., cloud data warehouses like Snowflake, BigQuery, or similar) is a plus.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Experience building automated workflows, pipelines, or reusable data assets is an advantage</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Familiarity with workflow orchestration / automation tools (e.g., Airflow) is advantageous</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Experience in using GenAI tools or AI agents for coding purposes or data analysis is preferred.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Proficiency in Microsoft Excel and data visualization tools (preferably Qlik).</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Good communication and presentation skills, with the ability to translate complex results into understandable and actionable insights.</span></li><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">Previous industry experience in life insurance is preferred.</span></li></ul><p style="margin:0in;font-family:Calibri;font-size:11pt;"><u><span style="font-family:Arial;font-size:18px;">Education</span></u></p><ul><li style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;text-indent:-13.5pt;">Bachelor’s degree or above in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field</span></li></ul><p style="margin:0in;font-family:Calibri;font-size:11pt;"><span style="font-family:Arial;font-size:18px;">If you find yourself able to demonstrate the criteria above, apply with us now. We look forward to your application.</span></p>