Senior/Data Analyst

MS FIRST CAPITAL INSURANCE LIMITED; Singapore; On-site; SGD 55,000 - 75,000; Full time

Job summary

A leading insurance company in Singapore is seeking a Data Analyst to develop and maintain data models and dashboards. You will collaborate with cross-functional teams to provide insights and support data-driven decisions. Candidates should have a Bachelor's degree in a quantitative field and at least 3 years of relevant experience. Proficiency in tools like SQL, Python, and Tableau is essential, along with problem-solving and communication skills.

Benefits

Comprehensive professional training

Sponsorship of professional qualifications

Friendly and collaborative culture

Competitive compensation package

Qualifications

• Minimum 3 years of experience as a Data Analyst or in a similar role.
• Exposure to re/insurance industry and/or knowledge of NGIN is advantageous.
• Familiarity with data warehousing and business intelligence concepts.

Responsibilities

• Develop and maintain robust data models, reports, and dashboards.
• Collate data to track performance KPIs in real time.
• Prepare summary statistics and graphical representations of data.

Skills

Data manipulation

Data analysis

Data visualization

SQL

Python

Tableau

Problem-solving

Critical thinking

Communication

Education

Bachelor’s degree in a quantitative field

Tools

Power BI

Excel

Job description

This is a perfect gateway into the highly niche sector of non-life reinsurance, part of Singapore's bustling financial services sector. As a wholly-owned entity of the world-renowned Mitsui Sumitomo Insurance (MSI) Group, we are dedicated to developing young talents for our sector.

As a member of our young talent pool, you can look forward to comprehensive professional training, sponsorship of professional qualifications, a friendly and collaborative culture and a competitive compensation package.

Responsibilities:

• Develop and maintain robust data models, reports and dashboards to provide insights to and enable fact-based decision-making for stakeholders, including the Senior Management Team and Board
• Collate data to effectively track performance KPIs in real time, and manage visualization using Power BI, Excel reports or other platforms/tools
• Partner with cross-functional teams to understand business requirements and translate them into data solutions
• Prepare summary statistics, tabulations, and graphical representations of data to support the Company’s business strategy
• Design and maintain the proper formatting and reporting of data in compliance with applicable business and regulatory reporting requirements
• Continuously seek improvement opportunities in operating efficiency by automating data extraction
• Continuously explore new data sources and analytical techniques to enhance the Company's data capabilities
• Provide training and support to other team members to build data literacy across the Company where necessary
• Support cross-organizational activities by creating and sharing reports, dashboards, etc, with internal teams

Requirements:

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, IT, or a related field
• Min 3 years of experience as a Data Analyst or in a similar role
• Exposure to re/insurance industry and/or working knowledge of NGIN will be a definite advantage
• Proficiency in data manipulation, analysis, and visualisation tools such as SQL, Python, and Tableau
• Familiarity with data warehousing and business intelligence concepts
• Excellent problem-solving and critical thinking skills, with the ability to translate complex data into actionable insights
• Effective communicator who can clearly articulate technical information to non-technical stakeholders

We regret that only shortlisted candidates will be contacted. We may retain your personal data for as long as it is necessary to fulfil the purposes for which they were collected, or as required or permitted by applicable laws. Should you disagree, please contact our Data Protection Officer for more information on the retention and disposal of your personal data.