560 Data Analysts jobs in Singapore
Data Scientists/ Data Analysts / Data Engineers
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Overview
Digital information has grown exponentially, and the rise in the Internet of Things (IoT) technology is likely to accelerate this. There is rising demand for Data Scientists, Data Analysts, Data Artists and Data Visualisers who collect, filter, analyse and make sense of a business’s data, turning vast amounts of data into actionable insights that support business decisions. For students considering a career in data science, there’s never been a more exciting time to explore this opportunity.
Job Demand for Data Scientists in Malaysia
Malaysia’s big data analytics market is expected to reach a value of USD1.9 billion by 2025. That’s just one part of the global market with multibillion dollar potential. IDC expects the global big data and business analytics solutions market to be generating USD274.3 billion revenue by 2022.
The Data and Digital Technologies in the country’s Digital Economy Blueprint are major drivers to propel Malaysia’s plans for expansion for the digital driven economy. Data Science expertise will be a high-demand skill in this landscape, and one which is already experiencing remarkable growth in both demand for talent and potential salaries.
Between 3.3 million and 6 million jobs are expected to be created in Malaysia thanks to Industry 4.0. Data science and analysis will continue to a major career growth opportunity in this landscape, as new and expanding data-driven roles power our connected jobs future.
Job Demand According to Multimedia Development Corporation
Malaysia’s national ICT agency Multimedia Development Corporation (MDeC) has unveiled a plan, supported by seven public and private institutes of higher learning (IHLs), to increase the number of local data scientists from the current 80 to 2000.
Statistics show that there will be about two million job openings for data professionals and that the demand for people with this knowledge and skill will outstrip supply by a ratio of two to one. It’s a global phenomena which is already in motion and Malaysia has set its sights on developing 20,000 data professionals and 2,000 data scientists.
There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. Job demand as well as salary for qualified Data Scientists or Big Data Professionals in Malaysia is high.
Furthermore, according to the 2019 Emerging Jobs in Malaysia Report by LinkedIn, the world’s largest professional network, Data Scientists is listed as one of the Top 5. The findings underscore the demand for jobs which require hybrid skills, primarily to help organisations in Malaysia navigate their digital transformation journey. LinkedIn analysed millions of unique, user-input job titles from the last five years, and found that while the top five emerging jobs are all related to technology, many of them require management and communications skills. Their actual roles are varied and diverse, reflecting a labour market that values talent with a hybrid set of complementary skills.
Job Demand for Data Science and Data Analytics in South East Asia
According to a report by the Asia Pacific Economic Cooperation, leaders in both the private sector and public sector feel that data science and analytics will change the face of business and government, but skills shortages continue to delay its adoption and utilization.
The report found that data science and analytics skills are in high demand, but supply is critically low with employers facing severe shortages.
Its projections suggest that between now and 2022, Malaysia, Singapore, and the Philippines will need 20,000, 15,000, and 340,880 data scientists respectively – and the lack of talent will make a severe dent in the way businesses leverage data to transform their digital DNA.
What are the most in demand job Skills in Malaysia?
A report from the Digital Workforce of The Future by LinkedIn revealed that a combination of skills encompassing Big Data, data analytics and web development registered a 21% growth in demand. In Malaysia, the top five in-demand digital skills are:
Big data
Software and user testing
Mobile development
Cloud computing
Software engineering management
What is the Salary for Data Scientists in Malaysia?
Asean Data Analytics Exchange (ADAX) CEO Sharala Axryd believes data professionals such as data engineers, data analysts and data scientists are the “sexiest jobs” of the 21st century. She said that data science fresh graduates can demand starting pay in the range of RM4,000–RM8,000 — making it the highest paid entry level job in the country today. In addition, a experienced professional in the field can demand up to RM15,000 a month.
Many employers are building their teams from ‘scratch’, accepting candidates with entry-level industry experience. The large salary range reported by employers for a data scientist from more than RM 15,000 per month to less than RM 5,000 per month may reflect a lack of precision in defining the role of a data scientist. While compensation will differ by candidate experience and performance, it is important that this role is not undervalued. Data science competencies such as statistical modelling and machine learning require a high education investment which should be recognised.
What are the Requirements for Data Scientists and Data Analysts in Malaysia?
Requirements for data science and analytics jobs are often multidisciplinary and they all require an ability to link analytics to creating value for the organization. The analytics and technology skills vary widely, but candidates must also demonstrate skills related to problem-solving in the workplace, including soft skills such as communication, creativity and teamwork. This holistic skill set is rare, so you should expect to compete fiercely for T-shaped individuals, as they are now often called, meaning those with a principle competency, plus well-honed broad skills to help them cross functions or domains.
Grab Example of How Data Science is Important
Grab’s Wenceslao David joined the company as a data engineer in May 2015, after working as a database administrator for a couple of years. Wenceslao quickly moved up the ranks to become a data scientist in October 2016, and in May last year became a Data Science Lead in the company in Singapore. Along with a team of nearly 50 other data scientists from about 10 countries, Wenceslao is helping Grab develop machine learning algorithms and intelligent systems that can predict traffic, understand customer’s and driver’s preferences, and even contribute to Government initiatives aimed at managing and reducing traffic during peak hours. There’s no denying the fact that data scientists can truly catapult companies into the future. However, there’s not enough talent in the world to support every ambitious company in the market.
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Online Data Analysts in Singapore | Remote
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Online Data Analysts in Singapore | Remote
Join to apply for the
Online Data Analysts in Singapore | Remote
role at
TELUS Digital AI Data Solutions .
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Overview
Global Sourcing Analyst | Connecting Skills with Remote, Part-time Opportunities!
Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.
A Day in the Life of an Online Data Analyst
In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide.
Completing research and evaluation tasks in a web-based environment, such as verifying and comparing data, and determining the relevance and accuracy of information.
Join us today and be part of a dynamic and innovative team that is making a difference in the world!
TELUS Digital AI Community
Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.
Qualification path
No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.
Basic Requirements
Full Professional Proficiency in English language
Being a resident in Singapore for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in Singapore
Ability to follow guidelines and conduct online research using search engines, online maps, and website information
Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
Daily access to a broadband internet connection, computer, and relevant software
Assessment
In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.
If Interested, please apply here:
Apply through the designated channels provided by TELUS Digital AI Data Solutions.
Seniority level
Entry level
Employment type
Part-time
Job function
Information Technology
Industries
IT Services and IT Consulting
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Freelance Data Analyst (2 months contract)
Locations noted: Seletar, Ang Mo Kio, Serangoon, Singapore (approx. 6 days ago postings)
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Senior/Statistical Specialist, Analysis, MSRD
Posted today
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Ministry of Manpower
Contract
Closing on 15 Sep 2025
What the role is
The candidate will join the Analysis team of the Manpower Research & Statistics Department, which is responsible for in-depth statistical research & analysis supporting MOM's strategic outcomes. The team provides objective and rigorous assessment of the current state and trends in the labour market with a view to facilitate informed decision-making within the government and the community-at-large.
• Write reports and/or articles on analysis of local and international labour market data and trends
• Initiate studies or surveys to measure emerging trends and identify wider implications and/or gaps in the labour market from the analysis produced
• Provide advisory on the data and statistical techniques used in modelling
• Keep abreast of latest labour market movements, and to propose new ideas of presenting such analysis
What you will be working on
• Write reports and/or articles on analysis of local and international labour market data and trends
• Initiate studies or surveys to measure emerging trends and identify wider implications and/or gaps in the labour market from the analysis produced
• Provide advisory on the data and statistical techniques used in modelling
• Keep abreast of latest labour market movements, and to propose new ideas of presenting such analysis
What we are looking for
• Preferably with background in Statistics, Economics, Business or Communication studies
• At least 2 years of working experience in statistical, business, financial, or economic research
• Strong analytical and quantitative skills
• Excellent written and verbal communication skills
• Working knowledge of statistical programming language (like SAS,R or STATA), data visualisation tools (like Tableau or PowerBI) and econometric modelling will be an advantage
About Ministry of Manpower
Championing Human Potential for a Thriving Singapore
Singaporeans are at the heart of what we do. The Ministry of Manpower (MOM) empowers our people and fosters a thriving, inclusive workforce that drives Singapore's growth and prosperity. By working closely with our tripartite partners, industry and community stakeholders, we strive to create workforce and workplace policies that foster resilience, adaptability, and a bright future for a thriving Singapore.
As an MOM officer, you will be part of this meaningful mission, contributing across diverse and impactful areas - from shaping forward-looking and effective manpower policies and strengthening industrial relations, to enhancing workplace safety standards and ensuring balanced local and foreign workforce regulations. Here at MOM, we are committed to creating an inclusive experience not just for our national workforce, but also for our officers who work tirelessly to champion human potential for a thriving Singapore.
About your application process
This job is closing on 15 Sep 2025.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Ministry of Manpower or the wider Public Service.
Business Data Mining
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We are hiring a Business Data Mining Analyst to join our team to support a project we have with a leading global digital banking and payment services company.
This is a contract role that blends data analysis, data mining, and business reporting. We are looking for someone with 2–3 years of experience in a similar role, preferably within financial services, and with exposure to marketing or customer analytics.
You will work with internal teams to manage acceptance data across APAC, validate information using tools such as Salesforce, Tableau, and Excel, and deliver actionable insights to support both marketing and business stakeholders.
This is a great opportunity to work with a globally recognised brand on regional, data-driven marketing initiatives.
To apply, please send us your updated CV. Only shortlisted candidates will be contacted.
Data Analysis Engineer
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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.
Data Analysis Engineer
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• 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 **
wfh data analysis officer
Posted today
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HR
Job description:
- Scheduling and arranging of appointments
- Guide clients with data given
- Evaluate data given and create portfolio for clients
Work from home
No prior experience required
Confident and willing to learn
Polite to customers when calling them
Team-player
Able to listen to instructions
INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82
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WFH DATA ANALYSIS OFFICER
Posted 13 days ago
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Job Description
HR
Job description:
- Scheduling and arranging of appointments
- Guide clients with data given
- Evaluate data given and create portfolio for clients
Work from home
No prior experience required
Confident and willing to learn
Polite to customers when calling them
Team-player
Able to listen to instructions
INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82@yahoo.com
Research Officer (Data Analysis) (DSSOJW)
Posted 1 day ago
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Job Description
The Laboratory of Surgical System & Service Innovation (3SI) is a multi-disciplinary laboratory that provides a platform for cutting-edge surgical health services research that informs healthcare systems, policies, and programs to provide high-value, patient centered care for patients and their families undergoing surgery.
We are looking for an enthusiastic, dynamic, meticulous, and responsible Senior / Research Officer to work closely with a team of experienced researchers and the clinical team in health system, services innovation, and novel surgical technologies research. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for seriously ill patients in surgery.
Among others, your role will focus on supporting the development and maintenance of surgical registries and databases as well as the design, execution, and publication of high-impact surgical health services research. Research include those related to real-world surgical outcomes, patient-centred care, health equity, and cost-effectiveness.
Key Responsibilities
1. Database/Registry Development & Maintenance
- Design and create a data pipeline that meets the pre-specified needs and requirements of projects and maintains its proper function
2. Data Collection, Management, Analysis, Managing data quality
- Gathering data from various sources and organizing it for analysis
- Performing statistical and data analysis techniques to generate insights from the data
- Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning
- Apply data science/machine learning methods to analyse large datasets
3. Performing exploratory data analysis
- Performing descriptive analysis to facilitate initial data investigation
- Summarising and presenting exploratory data analysis results to stakeholders
4. Designing and conducting Artificial Intelligence (AI) related projects
- Developing/Building a technical AI development plan based on the research question (include machine learning, natural language processing, generative AI, deep learning models)
5. Presentations & Data Visualization
- Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations
- Data Visualization: Creating visual representations of data to effectively communicate insights
- Preparation of presentation slides and posters for submission to local and international conferences
Key Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, and Information Systems, Soft Engineering, biomedical science, statistics or any related computational disciplines or equivalent.
- Advanced proficiency in Python, R, Java code writing
- Hands-on experience with database design and development
- Extensive knowledge of machine learning frameworks, libraries, data structures, data modelling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Demonstrated technical expertise with data models, data mining, and segmentation techniques
- Familiarity with healthcare database management systems and processes as well as healthcare data governance policies and regulation will be an advantage.
- Familiarity of generative AI methodologies
- An analytical problem solver: Strong analytical and problem-solving skills, and ability to work with incomplete or imperfect data.
- Excellent written and verbal communication skills, ability to explain the work in plain language.
- An effective team player: to collaborate with members of inter-professional functions, effectively contribute and be adaptive within multidisciplinary teams
- Passion to contribute and develop a career in the healthcare analytics and health services research arena.
Executive, Data Analysis/Excel/Tableau/Dashboard
Posted today
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Job Description
This position will start off as about 8 months contract.
Location:
Civil Service College, near to Buona Vista MRT
Responsibilities:
- To support the design of data collection channels
- To support data integration between data collection channels and dashboard
- To support the identification of opportunities for process automation and improvements
Working Hour:
Monday to Thursday: 8.30am to 6pm, Friday: 8.30am to 5.30pm
Salary:
$2650
Thank you
Toh Kim Leng (Glendon)
Cornerstone Global Partners
EA: 19C9859
Reg no: R