Senior Analyst, Data Analytics

Singlife Group; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Singlife Group in Singapore is seeking a data analytics professional to drive end-to-end campaign analytics, build scalable data assets, and deliver actionable insights. You will collaborate with stakeholders, create visualizations, and optimize data pipelines using Snowflake, BigQuery and Airflow.

A strong SQL/Python background and a bachelor's degree in a quantitative field are preferred. This role offers opportunities to impact business decisions and grow with Singlife's data-driven

Qualifications

• At least 1-5 years of experience in data analytics or a related field.
• Strong proficiency in SQL and working knowledge of Python for data analysis.
• Experience with data platforms (e.g., Snowflake or BigQuery) is a plus.
• Proficiency in Excel and data visualization tools (Qlik) is preferred.

Responsibilities

• Drive end-to-end campaign analytics from data extraction to results sharing.
• Write and run SQL queries for campaign executions and insights generation.
• Develop and maintain scalable data pipelines and automate workflows.
• Create data visualizations to communicate findings to stakeholders.

Skills

SQL

Python

Data analysis

Data storytelling

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, Economics, or related field

Tools

Snowflake

BigQuery

Airflow

Excel

Qlik

Job description

Singlife is aleading homegrown financial services company, offering consumers a better wayto financial freedom. Through innovative, technology-enabled solutions and awide range of products and services, Singlife provides consumers control overtheir financial wellbeing at every stage of their lives.

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

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

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

Singlifewassubsequently acquired by Sumitomo Life in March 2024, one of Japan's leadinglife insurers, which valued Singlife at S$4.6 billion, making the transactionone 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 topost-campaign results analysis.
• Write and run SQL queries for purposes ofcampaign executions and generating in-depth insights.
• Drive data projects end-to-end,presenting results to key stakeholders and senior management.
• Collaborate with stakeholders, datascientists and cross-functional teams to understand business objectives andsynthesize requirements.
• Generate insights and in-depth analysisfrom data and present findings to key stakeholders in a clear and concisemanner.
• Develop and maintain scalable datapipelines and automate workflows for recurring campaign extractions and otherpurposes.
• Create impactful insightful datavisualizations to communicate complex findings and insights to both technicaland non-technical stakeholders.
• Contribute to the design andimplementation of experiments to test hypotheses and validate modelperformance.
• Document methodologies, procedures, andfindings in a clear and concise manner to ensure knowledge sharing and maintainaccurate records.
• Demonstrate a solid understanding ofdata modeling fundamentals and contribute to the design and development of enterprisedata models where applicable.
• Identify and resolve any data qualityissues or data gaps that might hinder analysis.
• Conduct exploratory data analysis andapply statistical techniques to identify patterns, trends, and correlations inlarge and complex datasets.
• Support or contribute to machinelearning / advanced analytics use cases where applicable.

Requirements

Experience

• At least1-5 years of experience in data analytics or a related field.
• Strong proficiencyin SQL is mandatory and working knowledge of Python for data analysis,automation, or scripting is strongly preferred.
• Experiencewith data platforms (e.g., cloud data warehouses like Snowflake, BigQuery, orsimilar) is a plus.
• Experiencebuilding automated workflows, pipelines, or reusable data assets is anadvantage
• Familiaritywith workflow orchestration / automation tools (e.g., Airflow) is advantageous
• Experiencein using GenAI tools or AI agents for coding purposes or data analysis ispreferred.
• Proficiencyin Microsoft Excel and data visualization tools (preferably Qlik).
• Goodcommunication and presentation skills, with the ability to translate complexresults into understandable and actionable insights.
• Previousindustry experience in life insurance is preferred.

Education

• Bachelor’sdegree or above in Data Science, Statistics, Computer Science, Mathematics,Business Analytics, Economics, or a related quantitative field