20 Statistical Analysis jobs in Singapore
Senior/Statistical Specialist, Analysis, MSRD
Posted today
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Job Description
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.
Data Analysis Engineer
Posted today
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Job Description
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
Posted today
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Job Description
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.
- 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 Specialist
Posted today
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Job Description
As a risk assessment and data analysis expert, you will drive business decisions by combining actuarial knowledge with advanced data analytics skills.
Your Key Responsibilities
- Analyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation.
- Lead the onboarding of new treaties into our systems, ensuring accurate mappings, data consistency, and validation of results.
- Maintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting portfolio management and pricing analysis.
- Design and maintain dashboards on Excel and Power BI to visualize, monitor, and analyse client data for business decision-making.
- Conduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reporting.
- Liaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standards.
- Review and validate analytical outputs and data processes to ensure accuracy and uphold high-quality output from the team.
- Support junior members of the team in expanding their actuarial, systems, and insurance knowledge.
- Fellow of a recognized actuarial body.
- Bachelor's degree in Actuarial Science or related field, with a strong interest in data analytics.
- Minimum 3 years of experience in actuarial-related roles; experience in life insurance industry preferred.
- Proficient in Excel and SQL, with hands-on experience in data automation and managing large datasets.
- Skilled in data visualization, particularly using Power BI to develop clear and insightful dashboards.
- Strong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through thorough validation and reconciliation.
Data Analysis Engineer
Posted today
Job Viewed
Job Description
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.
Tableau
Machine Learning
Microsoft Excel
Data Analysis
Oracle SQL
Data Quality
SQL
Predictive Modeling
Python
Writing
Statistics
Visualization
Data Analytics
Power BI
Data Visualization
Junior Data Analysis
Posted today
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Job Description
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
Responsibilities
- 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.
Tell employers what skills you haveCRM
Tableau
Usability
Lifelong Learning
Data Analysis
Ability To Work Independently
Quality Improvement
ERP
Data Management
Relationship Management
Data Governance
Stakeholder Engagement
PowerBI
Service Excellence
Master Data Management
Data Visualisation
Data Analysis Specialist
Posted today
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Job Description
Data Analytics Instructor
We are looking for an experienced instructor to teach data analysis functions, SQL queries, Tableau dashboards, and visual storytelling.
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Lead Data Analysis Specialist
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The primary function of this position is to lead data analysis efforts for customer and internal team purposes. This includes analyzing H-M Matching & HDD Optimization, isolating the impact of Head & Media Component on HDD optimization, identifying key performance indicators (KPIs) and media parameters that affect HDD performance, and developing predictive models to forecast HDD performance during the media development stage.
Senior Data Analysis Specialist
Posted today
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Job Description
We are seeking an experienced Business Intelligence Data Analyst to collaborate with stakeholders and document requirements for data-driven projects.
- Collaborate with business and technical stakeholders to gather and document requirements, ensuring effective project delivery.
- Analyse existing manual reporting processes and identify opportunities for automation and process improvement, enhancing overall operational efficiency.
- Map data flows from source systems to reporting outputs, guaranteeing data integrity and consistency.
- Work with data engineers and developers to define data extraction, transformation, and loading (ETL) requirements, ensuring seamless integration.
- Support the design and implementation of Power BI dashboards and visualisations to meet business needs, providing actionable insights for informed decision-making.
Requirements:
- Minimum 5 years' experience as a Business Intelligence Data Analyst in data-driven projects, showcasing expertise in data analysis and interpretation.
- Excellent information gathering and stakeholder engagement skills, fostering strong relationships with cross-functional teams.
- Demonstrated ability in process improvement and business process re-engineering, driving organisational growth through innovative solutions.
- Experience working with source systems, data warehouses, and ETL processes, understanding the complexities of data management.
- Experience with SQL or other data querying tools, proficiently extracting valuable insights from large datasets.
- Proficiency in Power BI for data visualisation and dashboard development, creating interactive and dynamic reports.
Finance Data Analysis Specialist
Posted today
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Job Description
We are seeking a highly skilled professional to fill the role of Data Analyst - Finance Operations . This position will be responsible for managing reviews and validation of distribution reports, driving end-to-end activities to ensure validations are accurate and timely, analysing data to identify patterns and draw insights to support business decisions.
Key Responsibilities:- Manage reviews and validation of distribution reports to ensure accuracy and timeliness.
- Drive end-to-end activities to guarantee validations are accurate and on schedule.
- Analyse data to identify trends and patterns that inform business decisions.
- Develop solutions and present clear, explainable outcomes to support key distribution compensation strategies.
- Demonstrate strong business acumen with the ability to balance business objectives and risk mitigation.
- Experience in data analytics tools such as Alteryx, Anaplan, Python, Power BI, SQL.
- Proficiency in working in a fast-paced environment with tight deadlines.
We are an equal opportunity employer committed to providing equality of opportunity and benefits for all who apply and work with our organisation.