Role overview
As a specialized Data Quality Analyst, the primary focus revolves around modernizing business paradigms and maximizing efficiency. Individuals in this position bridge the gap between abstract project requirements and tangible market outcomes. Continuous scaling opportunities exist for experts ready to adapt to shifting technological demands.
Annual Salary โ 2026
$45,800 - $65,800
$62,400 - $96,900
$97,200 - $141,800
Earnings Breakdown
Financial Planning & Budgets
Healthcare Infrastructure
Medical, dental, and vision insurance profiles inside private-tier remote contractor markets.
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View Data Quality Analyst Jobs โ12-Month Salary Trend
Over the past 12 months, the average compensation for Data Quality Analyst roles in Singapore has increased by 3.8%. The estimated average salary moved from S$75,600 in Aug 2025 to S$78,500 as of Jul 2026.
Historical Salary Data Table
Similar Positions
Other positions similar to Data Quality Analyst:
Education Requirements
Master's degree or Bachelor's in Statistics, Data Science, Mathematics, or Computer Science
Training & Development
- Regular code reviews and feedback sessions
- Regular technical workshops and skill development sessions
- Collaborative learning environments with peer programming
- Access to advanced technical training resources
Required Skills
Core Skills
Trending Skills
Emerging Skills
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Specifics
Work Environment
Tools
Collaboration
Time Zones
Benefits
Common Benefits
Additional Benefits
Market Trends
Demand
High
Growth Rate
20% annual growth
Remote Work
Availability: High
Trend: Focus on digital well-being and work-life balance initiatives specific to remote work environments
Job Platforms
Key Industries
Cross-Country Pay Scale
Explore Data Quality Analyst salaries worldwide. Below you'll find a comparison of average annual compensation in different countries relative to the base rate in Singapore ($78,500).
Canada
Belgium
Switzerland
Austria
New Zealand
Netherlands
Portugal
Japan
Spain
Hong KongFrequently Asked Questions
What is the average Data Quality Analyst salary in Singapore?
The average salary for a Data Quality Analyst in Singapore is $78,500 per year. Entry-level positions (Junior Level) start near $45,800 - $65,800, while experienced professionals (Senior Level) can earn up to $97,200 - $141,800.
What skills are required for a Data Quality Analyst role?
Core skills include Information Security Awareness, Regression Modeling, Statistical Analysis, Adaptability. Trending industrial skills are Big Data Platforms, ETL Processes, SaaS Platforms, while key emerging skills focus heavily on LLM Fine-tuning, Virtual Cooperation, Decentralized Data Assetization.
What is the job market outlook for Data Quality Analysts?
The job market currently shows a High demand trajectory with a 20% annual growth trend factor. Remote availability remains active across modern employment hubs, primarily within sectors like E-commerce, Automotive Tech, Space Technology, Telecommunications.
What benefits are typically offered to Data Quality Analysts in Singapore?
Common base benefits generally encompass Remote Work Options, Flexible Hours, Home Office Allowance, High-end Hardware Budget. Additional remote allowances and workspace bonuses frequently include elements like Mental Health Support, Coworking Space Access, Internet Allowance.
What roles are similar to Data Quality Analyst?
Positions sharing overlapping technical responsibilities and operational workflows include Lead Data Quality Analyst, Contract Data Quality Analyst, Principal Data Quality Analyst, Data Quality Analyst Consultant. These paths offer alternative vertical career progression steps within distributed ecosystems.
What is the hourly rate for Data Quality Analysts in Singapore?
Calculated against standard full-time operational hours, Data Quality Analysts typically average between S$24.53 and S$58.50 per hour. Actual contractual rates vary by platform scale and specific niche mastery.
What are the core and trending skills for Data Quality Analysts?
Fundamental foundational competencies focus on Information Security Awareness, Regression Modeling, Statistical Analysis. To remain optimized for modern digital hiring cycles, candidates must actively integrate trending stacks like Big Data Platforms, ETL Processes, SaaS Platforms alongside advanced systems like LLM Fine-tuning, Virtual Cooperation, Decentralized Data Assetization.
How We Estimate Salaries
Jobicy salary estimates are based on data collected from public compensation databases, active job postings, and anonymous salary reports submitted by professionals. We compare these sources and adjust the results using country-specific economic indicators, including purchasing power parity (PPP), estimated average income taxes (approximately 17%), and local living costs in Singapore. This approach helps us provide realistic salary benchmarks for remote jobs.
Data Sources
Our salary estimates combine information from government statistics, public salary databases, labor market research, active job listings, and anonymous salary submissions.
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Disclaimer: Salary estimates and financial calculations on this page are provided for informational purposes only. They are generated using publicly available market data and economic indicators, including purchasing power, estimated taxes, and exchange rates. Actual compensation varies depending on experience, skills, industry, company size, location, benefits, negotiation, and employer policies. These estimates should be used as a general reference rather than a guarantee of actual compensation and do not constitute financial, legal, or tax advice.