The demand for data analysts in Singapore has been steadily rising over the past few years. With data becoming an invaluable asset for companies across industries, skilled data analysts who can gather key insights from complex data are highly sought-after.
In this comprehensive guide, we will cover everything you need to know about data analyst salaries in Singapore.
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Who is a Data Analyst, and What They Do?
A data analyst is a specialist who collects, processes and performs statistical analysis on large data sets. Their core responsibility is to uncover key insights and trends that can drive business strategy and decisions.
Data analysts need to be skilled in various areas like statistics, programming, data visualisation, machine learning and critical thinking.
Some common responsibilities include:
- Collecting structured and unstructured data from multiple sources
- Cleaning, transforming and standardising raw data
- Performing statistical analysis and data mining to discover patterns
- Translating quantitative findings into understandable visuals and reports
- Identifying areas for process optimisation using data insights
- Maintaining large databases and ensuring optimal performance
Also Read: Top 10 Recruitment Agencies in Singapore 2026
Data Analyst Salaries in Singapore – Entry, Mid, and Senior
The table below enumerates the monthly and yearly salary ranges of Data Analysts in Singapore at different stages of their careers:
| Level | Monthly Salary Range | Yearly Salary Range |
| Entry (1-3 Years) | SGD 4000 – SGD 6000 | SGD 48,000 – SGD 72,000 |
| Mid-Level (7-9 Years) | SGD 5000 – SGD 8000 | SGD 60,000 – SGD 96,000 |
| Senior (15 Years +) | SGD 6667 – SGD 8334 | SGD 80,000 – SGD 100,000 |
Sources: Glassdoor, as of March 31, September 28, and November 5, 2025
Factors Affecting Data Analyst Salaries in Singapore
These are the key factors that determine how much a data analyst earns in Singapore:
Experience Level
Experience plays a major role in deciding data science salaries. The average pay by experience level is:
- Entry-level (0-5 years): S$45,000
- Mid-level (5-10 years): S$72,000
- Experienced (10-20 years): S$85,000
- Late-career (20+ years): S$95,000
The more specialised experience you gain over the years working with modern big data and analytics tools, the higher your earning potential.
Also read: How To Become A Data Scientist?
Skills and Certifications
- Having data analytics certifications in Singapore can significantly impact your salary in this profession by boosting your earning potential, opening doors to specialized roles, and increasing your market value.
- These certifications can affect you differently at various stages of your career.
- Having certifications demonstrates that you are disciplined and skilled, which increases your negotiation power and potentially leads to specialized roles.
- The most significant factors influencing the impact of these certifications are the type of certification, your experience level, the industry in which you work, and the employer for whom you work.
Also Read: Highest Paying Jobs in the Commerce Field for Singapore Graduates
Industry
Salaries vary wildly across industries and companies. According to research, data analysts in these sectors have the highest average salaries in Singapore:
- Technology – S$88,800
- Finance and Banking – S$83,500
- IT and Software – S$80,000
- Consulting – S$76,000
Industry-wise Salary Comparison for Data Analysts in Singapore
- In Singapore, industries such as technology and information technology (IT), healthcare, finance, and electronic commerce (e-commerce) offer the highest salaries to Data Analysts. This is because they require the specialized skills that these professionals offer.
- The technology and IT sector is a major driver of demand for data analysts in Singapore. In most cases, a Data Analyst in this industry can earn a high salary if they possess specialized skills such as artificial intelligence (AI), big data analytics, and machine learning.
- The healthcare sector employs data analysts to analyze data from sources such as electronic health records, aiming to become operationally more efficient and provide patients with better care.
Data Analyst Salaries by Job Role in Singapore
The table below shows the salaries of Data Analysts in Singapore based on their job roles:
| Job Role | Annual Salary Range |
| Marketing Data Analyst | SGD 72,000 – SGD 108,000 |
| Data Scientist | SGD 72,000 – SGD 108,000 |
| Data Analyst | SGD 48,000 – SGD 72,000 |
| Financial Analyst | SGD 48,000 – SGD 72,000 |
| Senior Compliance Officer Assistant Manager | SGD 48,000 – SGD 72,000 |
| Market Analyst | SGD 36,000 – SGD 60,000 |
| Quality Assurance Analyst | SGD 36,000 – SGD 60,000 |
| Data Operations Analyst | SGD 36,000 – SGD 60,000 |
| Junior Data Analyst | SGD 36,000 – SGD 48,000 |
Top Companies Hiring Data Analysts in Singapore
The following are the leading companies hiring data analysts in Singapore in different industries:
1. Finance
- Development Bank of Singapore (DBS) Bank
- Union Bank of Switzerland (UBS)
2. Consulting and Technology
- Tata Consultancy Services
- EPAM Systems
- Shopee
- Virtual Human Resources (VHR) Professional Services
In the government sector, the most prominent recruiter of these professionals is the Government Technology Agency, the arm of the national government that deals exclusively with technology. It hires these professionals to work in areas like HR analytics.
Also read: Top Companies Hiring Data Scientists in Singapore in 2026
How to Increase Your Salary as a Data Analyst
Here are smart ways to earn higher pay as a data analyst in Singapore:
- Gain In-demand Tech Skills: Specialise in high-value skills like Python, Tableau, SQL, and AWS through reputable certification programs. These instantly make your profile more attractive.
- Pursue Higher Education: Complete a Master’s degree focused on analytics and data science from a recognised local university like NUS or NTU. This signals your advanced expertise to employers.
- Obtain Prestigious Certifications: Getting professional certifications like CFA, FRM, PRM, CISI or CQF not only validates your knowledge but also qualifies you for senior, high-paying roles.
- Upgrade Soft Skills: Beyond technical know-how, emphasise cross-functional communication, creative problem solving and executive presentation abilities. These differentiate you.
- Develop Industry Expertise: Compile in-depth experience applying analytics specifically in high-growth sectors like finance, software, ecommerce or cybersecurity via multiple job moves. You become a domain expert.
- Master In-Demand Tools: Gain certified hands-on expertise in leading analytics software platforms. Tools mastery grows your appeal.
Also read: How to Become a Freelance Data Analyst Using Skills from Online Courses
Future of Data Analytics Careers in Singapore Till 2030
Between now and 2030, the future of Data Analytics careers in Singapore appears exceptionally bright, with strong demand, growing salaries, and diverse opportunities across multiple industries.
The following are the key outlook and trends in this scenario:
- Sustained and High Demand
- AI Integration
- Industry-Wide Adoption
- Focus on Interdisciplinary Skills and Specialization
The most in-demand data analytics skills in this period would be:
Technical Skills
- Structured Query Language (SQL) and NoSQL
- Programming Languages
- Cloud Platforms
- Business Intelligence (BI) and Data Visualization Tools
- AI and Machine Learning
- Econometrics and Statistical Analysis
Soft Skills
- Business Acumen
- Storytelling and Communication
- Critical Thinking and Problem-Solving
- Continuous Learning and Adaptability
Also read: Basics of Data Analytics
The Bottom Line
In today’s highly competitive business landscape, data is the key differentiator. Hence, skilled data analysts who unlock hidden insights are prized assets commanding premium salaries. By developing expertise in next-gen skills like machine learning, honing communication abilities and focusing on high-value domains, talented individuals can maximise their career as well as earning trajectory within the booming data analytics space.
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- Master of Science in Data Science, Liverpool John Moores University
- Executive Diploma in Data Science and AI, IIIT Bangalore
- Post Graduate Certificate in Data Science & AI (Executive), IIIT Bangalore
Must read articles:
- Data Analytics Career Growth in Singapore
- Data Analysis in Singapore: Courses, Techniques, and Tools
- How to Become a Freelance Data Analyst Using Skills from Online Courses
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FAQs on Salaries of Data Analysts
Analyst pay in Singapore is affected by industry, experience level, certifications, job role, and the complexity of responsibilities.
Yes, many companies provide bonuses or incentive structures tied to performance, project impact, and company results.
Greater experience often leads to expanded responsibilities, senior designations, and improved compensation packages.
Certifications in data analytics, finance, or business intelligence generally enhance credibility and can support better career opportunities.
Sectors like technology, finance, healthcare, and e-commerce typically offer strong career growth and competitive benefits for analyst roles.
