173 Workflows jobs in Singapore

At NUS Enterprise, we're building the foundations for smarter, AI-powered systems by automating workflows, connecting platforms, and ensuring data flows seamlessly across our enterprise stack.
About Us
We’re hiring a Data & Automation Engineer (AI Workflows & Integration) who will design and maintain automated workflows in n8n, cleanse and transform datasets, and integrate multiple SaaS platforms and internal systems into a reliable system of record on Azure.
The Role
You’ll work at the intersection of data and systems integration. You’ll use n8n to automate workflows, connect APIs across platforms (Xero, Workable, Quantium, Slack, Monday.com, etc.), and ensure data is structured, validated, and stored in our Azure-based system of record. You’ll also contribute to data quality and reporting that support decision-making and AI readiness.
What You'll Do
Build and maintain automated workflows in n8n to connect multiple SaaS and internal systems
Cleanse, validate, and transform datasets for consistency and reliability
Design and implement API integrations to enable seamless data flow across platforms
Contribute to maintaining the system of record hosted in Azure, ensuring data accuracy and accessibility
Perform exploratory data analysis to surface insights and support reporting needs
Develop Python and SQL scripts for data transformation and automation
Apply digital transformation methodologies to streamline processes and embed automation into daily operations
Experiment with AI-enabled tools (e.g., anomaly detection, summarisation, LLM agents) to enhance workflows
What You'll Bring
2-4 years of experience in workflow automation, data engineering, or systems integration
Hands-on experience with n8n (or similar platforms like Zapier, Power Automate)
Strong proficiency in Python (pandas, numpy) and SQL
Experience working with APIs (REST/GraphQL) and integrating multiple systems
Familiarity with cloud environments (Azure preferred) for data storage and processing
Strong analytical and problem-solving skills—you can trace issues, debug integrations, and validate data
Excellent communication—you can explain workflows and integrations to non-technical colleagues
Demonstrated AI/LLM project work in past experience
Bonus Points
Knowledge of enterprise SaaS tools (Xero, Workable, Slack, Monday.com, Submittable, Skipso)
Experience in data warehousing concepts and data governance
Familiarity with AI/ML data requirements
Exposure to Git or collaborative development practices
Why Join Us?
This is your chance to shape the backbone of our digital transformation. You'll own the workflows and integrations that make data reliable, systems connected, and AI adoption possible.
Seniority level
Associate
Employment type
Contract
Job function
Other
Industries
IT Services and IT Consulting
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About Us
We're NUS Enterprise, the innovation and entrepreneurship arm of the National University of Singapore (NUS). Our mission: enable innovation at scale with systems that are smart, connected, and increasingly AI-driven.
The Role
You'll be the builder behind our workflow systems—mapping business processes, designing automations, and ensuring Monday.com works smoothly. Over time, you'll also experiment with AI-enabled features, such as intelligent automations or natural language queries. You will also contribute Monday.com data into our system of record in Azure, ensuring its quality and integration with enterprise systems.
What You'll Do
Configure and customise Monday.com boards, dashboards, and automations, embedding business intelligence principles for reporting and KPIs
Build and maintain Monday.com workflows, troubleshoot issues, and ensure smooth platform operation
Build integrations with enterprise tools via REST/GraphQL APIs, contributing to digital transformation initiatives
Contribute Monday.com data into the system of record hosted in Azure, ensuring quality and accuracy
Apply business process modelling to translate workflows into scalable digital solutions
Troubleshoot and resolve technical issues, coordinating with vendors as needed
Provide training and guidance to colleagues, making systems and processes understandable to all
Explore AI-assisted workflows as part of Monday.com's roadmap
What You'll Bring
2+ years of experience in SaaS platform engineering, workflow support, or enterprise IT
Strong grasp of RESTful/GraphQL APIs and JSON structures
Experience building and troubleshooting workflows on Monday.com
Basic scripting or software development skills for platform extensions
Ability to connect and manage structured data integrations, with understanding of SQL
Familiarity with contributing data from SaaS platforms into cloud-based systems of record (Azure preferred)
Excellent problem-solving instincts—you get to the root of issues quickly
Communication skills—you can explain technical systems clearly to non-technical colleagues
Team-first attitude and adaptability
Demonstrated AI/LLM project work in past experience
Bonus Points
Hands-on experience with Monday.com
Familiarity with SSO (OAuth, SAML, SCIM)
Curiosity about AI/LLM features in workflow platforms
Why Join Us?
This is your chance to grow into the future of enterprise systems—starting with Monday.com today, and building AI-enabled workflows and Azure-integrated data systems tomorrow.
Seniority level
Associate
Employment type
Contract
Job function
Other
Industries
IT Services and IT Consulting
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You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Comfortable working with large datasets, data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Experience in service excellence or CRM will be welcomed

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

Overview

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory.You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Requirements

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

We are seeking a highly skilled Internal Audit Assistant to join our team on a 6-month contract with potential extension. The successful candidate will play a key role in assisting in data gathering and analysis for audit planning, supporting audit fieldwork, and applying data analytics techniques to strengthen audit effectiveness.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.
Job Description
Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
Clean, transform, and analyse data to extract valuable insights.
Use statistical methods to identify trends, patterns, and correlations in the data.
Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
Write and optimize code to automate data collection, processing, and analysis tasks.
Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.
Requirements
Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
Experience with Python and R for data analysis, statistical modelling, and automation tasks.
Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
Strong understanding of statistical concepts
Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
Bachelor's degree or higher in IT-related, Statistical, or Mathematical.
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