43 Statistical Analysis jobs in Singapore

• Identify, design, and implement improvements to both internal and external processes, including:

• Automating manual workflows

• Enhancing data delivery mechanisms
• Redesigning infrastructure for greater efficiency
• Collaborate on project tasks to ensure timely delivery with high-quality outcomes.
• Develop tools and applications to support the data management team in streamlining data extraction, processing, and reporting.
• Stay updated on industry trends and apply best practices to deliver effective data solutions.
• Perform data de-identification and encryption in accordance with departmental data management guidelines.
• Support re-identification of datasets for verification or analytical purposes in collaboration with data management and data science teams.
• Provide timely feedback to supervisors to preempt and address potential work-related issues.
• Carry out additional duties as assigned by supervisors or clinical and administrative leadership.
• Maintain strict adherence to data security protocols throughout all work processes.

• A minimum of a Bachelor's degree in Computer Engineering, Software Engineering, or a related field, with at least 2 years of relevant experience.

• Proficiency in programming languages such as:

• Python (e.g., Streamlit, Flask, Django)

• R (e.g., Shiny)
• SQL
• Experience with AI/ML product management is highly desirable.
• Familiarity with SharePoint, Excel VBA, HTML, XML, and Java is preferred.
• Understanding of data anonymization, de-identification, and re-identification techniques is advantageous.
• Strong skills in statistical modeling and machine learning, with hands-on experience in data storage, processing, analytics, and distribution platforms.

Interested candidates who wish to apply for the advertised position, please click on "Apply". We regret that only shortlisted candidates will be notified.

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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.

• 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.

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.

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.

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.