Role overview
Operating as a professional Financial Data Analyst involves taking ownership of core delivery metrics and executing scalable industry practices. They integrate smoothly into distributed corporate structures, ensuring strategic metrics are met. All tasks are performed strictly within high-velocity, distributed remote teams across modern workspaces.
Annual Salary – 2026
$53,400 - $69,700
$70,700 - $107,700
$102,500 - $153,600
Earnings Breakdown
Financial Planning & Budgets
Healthcare Infrastructure
Medical, dental, and vision insurance profiles inside private-tier remote contractor markets.
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Latest Remote Financial Data Analyst Jobs
12-Month Salary Trend
Over the past 12 months, the average compensation for Financial Data Analyst roles in Singapore has increased by 5.7%. The estimated average salary moved from S$83,600 in Aug 2025 to S$88,400 as of Jul 2026.
Historical Salary Data Table
Similar Positions
Other positions similar to Financial Data Analyst:
Education Requirements
Master's degree or Bachelor's in Statistics, Data Science, Mathematics, or Computer Science
Professional Certifications
Training & Development
- Professional development funds for courses and conferences
- Agile methodology training and certification support
Required Skills
Core Skills
Trending Skills
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Specifics
Work Environment
Tools
Collaboration
Time Zones
Benefits
Common Benefits
Additional Benefits
Market Trends
Demand
Very High
Growth Rate
25% annual growth
Remote Work
Availability: Very High
Trend: Implementation of advanced cybersecurity measures and data protection protocols for distributed teams
Job Platforms
Key Industries
Cross-Country Pay Scale
Explore Financial Data Analyst salaries worldwide. Below you'll find a comparison of average annual compensation in different countries relative to the base rate in Singapore ($88,400).
Switzerland
UAE
United Kingdom
Germany
Spain
Luxembourg
Austria
Belgium
Netherlands
United StatesFrequently Asked Questions
What is the average Financial Data Analyst salary in Singapore?
The average salary for a Financial Data Analyst in Singapore is $88,400 per year. Entry-level positions (Junior Level) start near $53,400 - $69,700, while experienced professionals (Senior Level) can earn up to $102,500 - $153,600.
What skills are required for a Financial Data Analyst role?
Core skills include Data Ingestion Architecture, Adaptability, R, Communication. Trending industrial skills are ETL Processes, Asynchronous Workflows, Big Data Platforms, while key emerging skills focus heavily on .
What is the job market outlook for Financial Data Analysts?
The job market currently shows a Very High demand trajectory with a 25% annual growth trend factor. Remote availability remains active across modern employment hubs, primarily within sectors like Artificial Intelligence, Quantum Computing, EdTech, Space Technology.
What benefits are typically offered to Financial Data 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 Financial Data Analyst?
Positions sharing overlapping technical responsibilities and operational workflows include Senior Financial Data Analyst, Financial Data Analyst Specialist, Freelance Financial Data Analyst, Lead Financial Data Analyst. These paths offer alternative vertical career progression steps within distributed ecosystems.
What is the hourly rate for Financial Data Analysts in Singapore?
Calculated against standard full-time operational hours, Financial Data Analysts typically average between S$27.63 and S$65.88 per hour. Actual contractual rates vary by platform scale and specific niche mastery.
What are the core and trending skills for Financial Data Analysts?
Fundamental foundational competencies focus on Data Ingestion Architecture, Adaptability, R. To remain optimized for modern digital hiring cycles, candidates must actively integrate trending stacks like ETL Processes, Asynchronous Workflows, Big Data Platforms alongside advanced systems like .
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.