Singapore Data & Analytics: Python, SQL, AWS Lead 230 Roles -- January 2026
BetaSingapore's data job market in January 2026 shows 252 roles across 127 employers, with strong demand for ML Engineers and growing opportunities in Professional Services and Fintech sectors.
This report analyzes 230 Data & Analytics job postings from 110+ companies tracked via direct employer career pages and job board aggregators. Our coverage skews toward tech-forward and scaling companies; large enterprises using enterprise hiring platforms may be underrepresented. Coverage varies by section and is noted throughout.
Key Takeaways for Hiring Managers
Compensation
Compensation data excluded due to low disclosure rates in markets without pay transparency legislation.
Employers Hiring for Data & Analytics Roles
New This Month
NCS, Micron, Plaud
Biggest Decline
Nanyang Technological University
-2pp
Market interpretation: NCS leads Singapore's data hiring with 8 roles, followed by Airwallex with 6. The entry of NCS, Micron, and Plaud as new top employers this month diversifies the hiring landscape across IT services, semiconductors, and consumer hardware.
Industry Distribution
62% of roles with industry data
Biggest Gainer
hardware
+10pp
Biggest Decline
Crypto & Web3
-13pp
Professional Services and Fintech together account for over a third of data hiring in Singapore, reflecting the city-state's strength in consulting and financial technology. Hardware's 8 percentage point gain suggests growing investment in semiconductor and electronics sectors, while Crypto and Web3's 10 percentage point decline may indicate market consolidation in that space.
Role Specialization
Biggest Gainer
Data Scientist
+4pp
Biggest Decline
Product Analytics
-3pp
ML Engineers lead demand at 25%, reflecting Singapore's focus on AI applications in finance, logistics, and health-tech. Data Scientists, Data Analysts, and Data Engineers each comprise 18-19% of roles, showing balanced demand across the data function. Data Scientist roles gained 3 percentage points month-over-month while Product Analytics declined by 3 percentage points.
Seniority Distribution
Junior: 0-2 years | Mid-Level: 3-5 years | Senior: 6-10 years | Staff/Principal: 11+ years (IC track) | Director+: Management track
Biggest Gainer
Junior
+5pp
Biggest Decline
Senior
-8pp
Senior-to-Junior Ratio
3:1
Senior+ roles per Junior role
Entry Accessibility Rate
31%
Junior + Mid-Level roles combined
Senior roles comprise 42% of openings, with a 3:1 senior-to-junior ratio that suggests moderate entry-level accessibility. Junior roles gained 7 percentage points this month while Senior declined by 9 percentage points, potentially indicating employers are building out their talent pipelines. The 30% entry accessibility rate includes both Junior and Mid-Level positions.
Company Maturity
60% of roles with company age data
Mature companies (15+ years) represent the largest share of Singapore's data hiring at 52%, with Growth-stage firms (6-15 years) contributing another 35%. This distribution reflects Singapore's established corporate presence while leaving meaningful opportunity at younger companies for candidates seeking early-stage experience.
Ownership Type
61% of roles with ownership data
Private companies lead hiring at 49%, followed by public companies at 33% and subsidiaries at 18%. The substantial subsidiary presence reflects Singapore's role as an APAC headquarters location for multinational corporations.
Employer Size Distribution
59% of roles with company size data
Enterprise employers (1,000+ employees) account for 63% of data roles, with startups and scale-ups splitting the remainder. This concentration at larger firms may offer candidates structured career paths and comprehensive benefits, while smaller employers may provide broader role scope and faster advancement.
Working Arrangement
Onsite: office full-time | Hybrid: mix of office and remote | Remote: work from anywhere | Flexible: employee chooses arrangement
82% of roles with known working arrangement
Working arrangement data is not displayed for this market due to insufficient ATS-sourced sample size (44 roles). A minimum of 100 ATS-sourced roles is needed for reliable working arrangement analysis.
Skills Demand
41% of roles with skills data
Skills insight: Python (38%) and SQL (28%) remain foundational requirements, appearing together in 20% of roles. Cloud skills focus on AWS at 13%, while emerging AI capabilities including LLMs (11%) and RAG (7%) reflect growing demand for AI engineers who can build production ML pipelines. The modern data stack (dbt, Airflow, Spark, Databricks) features prominently across infrastructure roles.
Market Context
Methodology
This report analyzes direct employer job postings for Data & Analytics roles in Singapore during January 2026.
Data collection:
- 1.Over 200 roles from 127+ employers aggregated from multiple sources
- 2.Recruitment agency postings identified and excluded (0% of raw data)
- 3.Jobs deduplicated across sources to avoid double-counting
Classification:
- 1.Roles classified using an LLM-powered taxonomy
- 2.Subfamily, seniority, skills, and working arrangement extracted
- 3.Employer metadata enriched from company databases where available
Limitations:
- 1.Not a complete census of the market - some roles may not be captured
- 2.Skills analysis based on 95 roles with skill data (41% coverage)
- 3.Salary data not included due to low disclosure rates
- 4.Working arrangement based on 44 ATS-sourced roles (Adzuna excluded due to truncated descriptions)
Data coverage:
73%
Seniority coverage
Roles with seniority level classified
82%
Arrangement coverage
Roles with working arrangement known
41%
Skills coverage
Roles with skills extracted from description
66%
Employer metadata
Roles with enriched company data
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