20 Statistical Methods jobs in Singapore

Info-communications Media Development Authority

Fixed Terms

What the role is

You will be part of the RSU team within IMDA's Strategic Planning and Digital Readiness Group. This team undertakes data analytics and economic research, to sense make and guide strategy and policy development in IMDA. The team also closely supports IMDA's line divisions' needs for data and statistics for policy and programme formulation. In this role, you will analytical framework and techniques on a variety of data types to derive policy and programme insights.

We would like to invite an independent and self-motivated individual with a keen interest in driving the growth of Singapore's digital economy and digital society to join us.

What you will be working on

• Conduct research and analysis to gain insights into current trends and forecast developments in the digital economy and digital society.
• Quantitatively assess the economic and social impacts of IMDA's policies and programmes.
• Collaborate effectively with stakeholders within and outside the organisation to define data needs, supporting evidence-based policy and strategy development.
• Engage in data acquisition, quantitative modelling, and advanced analytics, including data visualization, to provide actionable insights.
• Identify and implement data-driven initiatives to foster innovation and reinforce a data-centric approach within the organization.
• Provide data and statistical support for policy and programme formulation.

What we are looking for

• Background in Economics, Statistics, Data Science or a closely related field.
• 4-5 years of experience in quantitative research and analysis.
• Proficiency in statistical software and programming languages such as Python, R and Stata.
• Familiarity with data visualisation techniques and tools such as Tableau.
• An independent, self-motivated individual with the ability to tackle complex issues and thrive in cross-functional teams.
• Exceptional written and verbal communication skills, with a talent for presenting complex data in a clear and persuasive manner.

About Info-communications Media Development Authority

Info-communications Media Development Authority ) offers a rewarding career that gives you a front seat in the fast-changing infocomm media sector, where technology and content are shaping the way people view the world more than ever.
We offer a wide range of opportunities, where talented individuals and teams can make a difference. Whether you are developing a telecommunications policy affecting consumers or spearheading a scheme to nurture budding media talents, each member of IMDA contributes towards driving innovation, enhancing productivity for economic growth, and improving the quality of life for all Singaporeans.
As a statutory board in the Ministry of Communications and Information, IMDA promotes and regulates the infocomm and media sectors.

About your application process

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 Info-communications Media Development Authority or the wider Public Service.

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.

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

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

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 :

Working Days: 5 days across Monday - Sunday

Location: Central

Contract Period: immediate till Dec 2025 (Yearly renewable based on performance and business needs)

Job Responsibilities:

• Become a specialist in project content, objectives, and deliverables.
• Offer comprehensive support to designated participants, ensuring timely and accurate information gathering.
• Develop a deep understanding of participant's business operations and procedures to facilitate effective information gathering.
• Build strong relationships by addressing participant concerns and challenges.
• Gather information through outbound calls, email exchanges, and on-site visits.
• Maintain consistent communication with participants and stay informed about new contacts.
• Accurately compile, record, and input information into the system, including thorough case documentation.
• Implement strategies and initiatives to improve participation rates.
• Generate monthly progress reports on completion status and service level achievements for reporting officers.
• Provide information analysis and progress predictions to management and stakeholders.
• Assist in investigating escalated issues when required.
• Perform other duties as assigned.

Job Requirements:

• Degree in a relevant field.
• Experience managing large employee-based accounts is a plus.
• Proficiency in MS Word and Excel for reporting and progress tracking.
• Strong verbal communication skills are essential for daily tasks.
• Ability to communicate effectively and manage interactions across different organizational levels, both internally and externally.
• Detail-oriented and thorough in task execution.
• Successful completion of a training course and assessments is required before operational deployment.
• Singaporeans only.

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• Design and develop advanced AI algorithms for analyzing biomedical data.
• Collaborate with researchers to identify areas of improvement in current research projects.
• Develop and implement data visualization tools to aid in understanding complex research findings.

• Master's degree or Ph.D. in Computer Science, AI, or related fields.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data analysis and machine learning techniques.
• Ability to work independently and as part of a team.
• Good communication and problem-solving skills.

Job Responsibilities

1. Strategic Planning & Business Enablement

2. Develop and implement group-level business intelligence (BI) and data insights strategies, establish a data-driven decision-making system, and drive business growth and operational efficiency improvement.

3. Gain deep insights into automotive smart technology industry trends, identify data value points, and deliver actionable data solutions for product development, supply chain optimization, marketing, and other business units.

2.Data Governance & Compliance

• Establish enterprise-level data governance frameworks to ensure data quality, security, and compliance with China's Data Security Law and Personal Information Protection Law (PIPL).

• Develop data asset management systems and promote cross-departmental data standardization and sharing mechanisms.

• Business Insights & Decision Support

• Generate high-value insight reports through in-depth analysis of user behavior, market trends, and competitor data to support executive-level strategic decision-making.

• Design and monitor core business metrics (e.g., user conversion rates, supply chain costs, product lifecycle), and build real-time visual dashboards.

Job Requirements

1. Bachelor's degree or above.

2. Technical Expertise: Proficient in BI tools (Tableau/Power BI/Superset), SQL/Python/R, familiar with big data ecosystems (Hive/Spark/Kafka) and cloud platforms (AWS/Azure/Alibaba Cloud).

3. Industry Experience: Hands-on experience in data-driven insights within automotive, smart hardware, or advanced manufacturing sectors, with familiarity in scenarios like connected vehicles, user profiling, and supply chain optimization.

4. Cultural Fit

5. Align with ECARX's mission of "Reshaping Automotive Intelligence"; demonstrate entrepreneurial spirit and a global mindset.

6. Proficient in English as a working language.