Data Analytics Jobs in Singapore
There are 1,390 open Data Analytics jobs in Singapore on freehire right now. 607 of them were posted recently. The skills employers ask for most often are analytics, sql and python.
Most requested skills
- analytics 33%
- sql 26%
- python 25%
- ai 24%
- data-analytics 18%
- automation 18%
- powerbi 17%
- statistics 12%
How the work is done
- Hybrid 60 · 4%
- Onsite 51 · 4%
- Remote 24 · 2%
Visa sponsorship offered in 62% of the 138 postings that state a position on it.
Seniority
- Senior 218
- Intern 111
- Junior 48
- Lead 33
- C-level 16
- Principal 13
Who is hiring
- 1000+ employees 272
- 501-1000 employees 66
- 11-50 employees 41
- 51-200 employees 32
- 201-500 employees 3
- 1-10 employees 1
Research Engineer (Data Analytics and AI Innovation)
A research engineer supporting academic professors in AI-driven data analytics, economic modeling, and tech-disruption research, using Python/SQL, STATA/R, and machine learning for patent/citation network analysis.
Condition Monitoring Engineer — Data Analytics Lead
Lead data analytics for a rail condition-monitoring system, troubleshoot incidents, and improve predictive maintenance models in Singapore’s Maintenance Engineering Centre.
Customer Engineer, Data Analytics, Google Cloud
Customer Engineer specializing in Data Analytics on Google Cloud, designing architectures and MVPs to solve customer challenges and drive cloud adoption.
AVP/VP, Data Analytics Engineer - Global Markets Division
Build and maintain data pipelines, dashboards, and analytics platforms for OCBC’s Global Markets division, transforming market data into insights using SQL, Python, and BI tools like Tableau and Power BI.
Data Analytics Engineer — Drive AI Insights (Contract→Perm)
Analyze complex data, build AI models, and create visualizations to drive data-driven decisions for clients.
Senior Data Migration & Analytics Engineer
Migrates legacy data marts to new platforms using SAS, SQL, Python, and Hadoop; builds ETL scripts, validates outputs, and documents data for governance.
Big Data Analytics & Reporting Engineer
Designs and builds big-data pipelines and reports using Cloudera, PySpark, SQL, and BI tools to deliver clean, accessible datasets and dashboards.
Senior AI Engineer, Data Analytics
Senior AI Engineer builds agent systems that turn natural-language questions into accurate, trustworthy answers over business data for customers, using retrieval-augmented generation and robust data pipelines.
Senior Engineer, Data Analytics
Build and maintain full-stack software using Java/Spring Boot and Angular/React, mentor junior engineers, and integrate AI tools into the development lifecycle.
Data & Analytics Engineer – Investment Management
Build and maintain data pipelines, dashboards, and AI tools for investment and operations teams to enable data-driven decisions.
Data & Analytics Engineer - Learning Technologies Devt
Builds data pipelines and AI models to analyze student learning behavior, then creates Power BI dashboards for educators and stakeholders in a government-run edtech program.
Investment Data & Analytics Engineer
Build and maintain investment data models and pipelines in Python, create Power BI dashboards, and support AI-driven analytics for AIA’s investment team in Singapore.
Senior Data & Analytics Engineer
Senior data engineer builds and optimizes reporting pipelines, ETL workflows, and dashboards for a government authority using Python, PySpark, SQL, and Cloudera tools.
Data Analytics Engineer
Build and automate data pipelines, dashboards, and analytics solutions to drive semiconductor manufacturing decisions using Python, SQL, and Tableau.
Data Analytics Engineer
Designs and maintains data pipelines, builds AI models, and creates reports to turn raw data into actionable insights for executive leadership.
Data Analytics Engineer
Build and maintain data pipelines, analytics tools, and dashboards using SQL, Python, and BI platforms to deliver insights and support data-driven decisions.
Data Migration Analyst: SQL & Data Warehousing
Migrate banking data from legacy systems to new data marts using SQL, Hive, and Impala; map data flows and document transformations.