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Singapore Data & Analytics Market

Beta

January 2026

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.


Market Context

1.APAC tech hub growth Singapore continues to attract regional headquarters and tech investment, with strong opportunities in ICT, Financial Services, and Professional Services driving data hiring.
2.AI engineering in demand AI engineers with ML pipeline experience top employer shortlists, reflecting enterprise focus on deploying production AI systems rather than experimental research.
3.Sector diversification Finance, logistics, and health-tech sectors are driving data job growth, while Crypto and Web3 hiring has contracted significantly this month.
4.Hardware sector resurgence Semiconductor and electronics hiring gained momentum with Micron among top employers, potentially reflecting regional supply chain investment.
5.Regional talent competition 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.

Key Takeaways: Job Seekers

1.0Build ML pipeline experience With ML Engineers leading demand at 25%, focus on practical experience with production ML systems, not just model building.
1.1Target Professional Services and Fintech These two sectors account for 34% of roles combined and may offer diverse project exposure across multiple client industries.
1.2Consider Enterprise employers Large companies account for the largest share of hiring at 63% of roles, often providing structured career paths and comprehensive benefits packages.
1.3Working arrangement data unavailable Working arrangement data is not displayed for this market due to insufficient ATS-sourced sample size (44 roles). Candidates should research employer flexibility policies directly.
1.4Pair Python with LLM skills LLMs and RAG appear prominently in skill requirements, suggesting AI application experience could differentiate candidates.

Key Takeaways: Hiring Managers

2.0Differentiate from large competitors With Enterprise employers dominating at 63%, scale-ups and startups may need to emphasize unique value propositions to attract talent.
2.1Monitor flexibility expectations Working arrangement data is not displayed due to insufficient ATS-sourced sample size (44 roles). Consider your own market intelligence for flexibility benchmarks.
2.2Build junior pipelines The 30% entry accessibility rate suggests moderate competition for emerging talent that could become your future senior hires.
2.3Highlight AI and ML projects With ML Engineers in highest demand, roles offering hands-on AI work may attract more qualified applicants.

Industry Distribution

62% of roles with industry data

Low
High
vs December 2025

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.


Company Maturity

60% of roles with company age data

29%Growth Stage
Mature (>15 yrs)57%
Growth (6-15 yrs)29%
Young (<=5 yrs)14%

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

48%Private
Private48%
Public33%
Subsidiary18%

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

68%Enterprise
Enterprise (1,000+)68%
Startup (<50)19%
Scale-up (50-1,000)13%

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.


Employers Hiring for Data & Analytics Roles

Low
High
vs December 2025

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.


Role Specialization

Low
High
vs December 2025

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

Low
High
vs December 2025

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.


IC vs Management Track

89%IC
Individual Contributor89%
Management11%

Individual contributor roles account for 89%, with management positions at 11%. This IC-focused distribution is typical for technical data functions where deep expertise often matters more than team leadership.


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

39%Remote
Onsite52%
Remote39%
Flexible6%
Hybrid3%

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.


Compensation

Compensation data excluded due to low disclosure rates in markets without pay transparency legislation.


Skills Demand

41% of roles with skills data

Low
High

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 Metrics

Market Structure

2.09

Jobs per employer

Average open roles per hiring company

Among tracked employers

27%

Top 5 concentration

Combined share of tracked postings by top 5 employers

Among tracked employers

43%

Top 15 concentration

Combined share of tracked postings by top 15 employers

Among tracked employers

Accessibility

3:1

Senior-to-Junior ratio

Senior+ roles for every junior role

Accessible entry market

31%

Entry accessibility

Roles open to candidates with <3 years experience

Moderate entry market

11%

Management opportunity

Roles on the people management track

IC-focused

Flexibility

39%

Remote availability

Roles offering fully remote work

High flexibility


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

About

This report was created by Rich Jacobs, Data product manager focused on hiring market intelligence. Want the data? rich@richjacobs.me