20 Analytical Thinking jobs in Singapore

About the Role:

• We are seeking a highly skilled Statistics Officer to join our team in the Statistics Unit at SingHealth.
• As a key member of our team, you will play a crucial role in driving data-informed decision-making across our healthcare system.

Key Responsibilities:

• Conducting in-depth data analysis to uncover trends, generate actionable insights, and deliver easy-to-digest reports and strategic summaries for Senior Management and stakeholders.
• Designing and producing useful self-service data reports for organisation-wide sharing, promoting their use, and guiding users on how to interpret and use the data.
• Processing routine and ad-hoc data requests from relevant government bodies and internal stakeholders.
• Building, enhancing, and maintaining Data Warehouses (DWs).
• Collecting, organising, and maintaining useful data not captured in the DWs.

Requirements:

• Bachelor's Degree preferably in Statistics, Mathematics, Computer Science, Information Management, Data Science, Business Analytics, Engineering, or related disciplines.
• At least 1 year of relevant working experience in areas relating to data management, statistics or data warehouse.
• Some experience in machine learning will be an advantage.
• Proficient with at least one programming language, preferably Microsoft Excel Visual Basic for Applications (VBA), STATA, Python and/or R.
• Proficiency with Tableau and Oracle Business Intelligence (BI) will be advantageous.
• Strong problem-solving, logical thinking, analytical and quantitative reasoning skills.
• Strong communication skills with ability to articulate ideas clearly and write concisely.
• Strong interpersonal skills and able to work with staff of all levels.
• Team player who is proactive, independent, meticulous, and highly adaptable in rapidly changing environment.
• Fast learner with a positive attitude.

We are seeking a highly skilled and driven professional to fill the role of Data Analyst. The ideal candidate will possess strong data analysis capabilities with hands-on experience in SQL, Python, Power BI, and cloud computing (AWS). The role involves model training and deployment, as well as the application of modern LLM techniques such as prompt engineering and Retrieval-Augmented Generation (RAG) to drive business and product insights.

• Analyze large-scale data using SQL and Python to derive actionable insights.
• Design and implement dashboards using Power BI for real-time monitoring and decision-making.
• Build, train, and deploy machine learning models to improve business operations and project outcomes.
• Collaborate with cross-functional teams to implement AI-powered solutions including RAG pipelines and prompt engineering for LLMs.
• Work on AWS platform to manage data workflows and deploy scalable models.
• Contribute to high-quality supervised fine-tuning data collection for LLMs.

• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Analytics, Computer Science).
• Proficient in SQL, Python, Power BI, AWS, Model Training, Model Deployment, RAG, Prompt Engineering.
• At least 3 years of relevant experience in data visualization tools such as Power BI or Tableau.
• Hands-on experience with AWS services and/or Microsoft Azure.
• Strong foundation in ML model training and deployment processes.
• Experience with large language models (LLMs), prompt engineering, and RAG applications.
• Strong communication and project management skills.

We're seeking a tech-savvy, innovative Computer Science Graduate to help digitize and optimize our operations. You'll play a key role in designing tools, automating processes, and analyzing data that directly impact our business efficiency and customer satisfaction.

Responsibilities:

Develop and maintain web/mobile applications (e.g., for ordering, inventory, or loyalty programs)

Automate backend processes like stock tracking, procurement, and reporting

Analyze customer and sales data to drive business insights

Collaborate on IoT or AI projects for kitchen automation and smart supply chains

Improve or implement cloud-based systems for restaurant and warehouse management

Requirements:

Bachelor's in Computer Science, IT, or related field

Knowledge of programming languages (e.g., Python, JavaScript, SQL)

Experience with databases, APIs, and cloud platforms is a plus

Strong problem-solving skills and interest in real-world applications

Passion for innovation and willingness to learn industry-specific tools

Why Join Us?

Opportunity to make a tangible impact in a fast-growing industry

Work at the intersection of tech and food innovation

Competitive salary, meals, and performance bonuses

Friendly, collaborative environment with learning opportunities

Multi lingualisam advantage. ability to communicate in 3 types of Indian language

We seek a skilled and detail-oriented Machine Learning Specialist to join our research team. The ideal candidate will have expertise in designing, implementing, and optimizing machine learning models for trading signal generation.

• Analyze large financial datasets from various sources and develop data pipelines for seamless integration.
• Collaborate with senior researchers to design, implement, and optimize ML models for trading signal generation.
• Conduct rigorous backtesting and performance attribution for new and existing strategies.
• Create clear and insightful visualizations to communicate research findings and model results.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong programming skills in Python (NumPy, pandas, scikit-learn).
• Proficiency in data visualization tools (Matplotlib, Plotly, Seaborn).
• Solid understanding of machine learning concepts; familiarity with deep learning architectures preferred.
• Experience with time-series analysis and backtesting frameworks is an advantage.

• Data wrangling, cleaning, and transformation for financial datasets.
• Familiarity with basic trading concepts, market microstructure, or portfolio construction is beneficial.

We are seeking a skilled Data Analyst to join our team and contribute to our cybersecurity efforts. As a Cybersecurity Intelligence Analyst, you will be responsible for analyzing security logs and data sets to identify patterns and potential threats.

This is an excellent opportunity to apply your analytical skills in a cybersecurity context and gain hands-on experience in threat intelligence and incident response.

Key Responsibilities

• Analyze security logs and data sets to identify patterns and potential threats
• Create reports and visualizations that transform complex security data into actionable insights
• Support the team in monitoring security alerts and helping with initial triage
• Assist in developing and refining dashboards
• Participate in security research on emerging browser vulnerabilities and attack techniques
• Help document security processes and findings for internal knowledge sharing

You'll Learn

• Practical application of data analytics in cybersecurity context
• Browser security concepts and common web vulnerabilities
• Security monitoring workflows and incident response procedures
• How to translate technical security findings into business insights

Requirements

• Currently pursuing or recently completed an undergraduate degree in Computer Science, Cybersecurity, Information Technology, or related field
• Working knowledge of SQL for data querying and analysis
• Familiarity with big data concepts and analytical tools
• Strong problem-solving abilities and attention to detail
• Excellent written and verbal communication skills
• Eagerness to learn browser security concepts and web application vulnerabilities

Responsibilities:

• Lead data analysis efforts for both customer and internal teams focused on H-M Matching and HDD optimization
• Isolate and evaluate the impact of Head and Media components on HDD performance
• Identify Key Process Input Variables (KPIVs) and Media Parameters affecting HDD pass rates, error codes, and defect rates
• Develop predictive models for HDD performance during media development using KPIV/Parameter matrices
• Collaborate closely with R&D teams to communicate analysis results and findings
• Support RTV failure analysis (FA) and work with internal teams on root cause identification and corrective actions

Requirements:

• Degree in Engineering, Science, or related field; Masters degree is a plus
• Minimum 1 year experience in the HDD industry
• At least 2 years experience in data analysis or similar function
• Strong data analysis and critical thinking skills
• Ability to interpret complex analytical results
• Adaptable to changing priorities and fast-paced environments
• Excellent communication and interpersonal skills for cross-functional collaboration
• Proficient in analysis software such as Minitab, Tableau, Spotfire, JMP, R, or equivalents
• Competent in Microsoft Office
• Preferred but not required: knowledge of Python, SQL, Macros, or other programming languages
• Familiarity with Six Sigma, Lean Manufacturing, and Design of Experiment (DOE) methodologies is advantageous

Additional Information

• Able to work in a cleanroom environment

To apply, please visit and search for Job Reference: V6W68XYR

To learn more about this opportunity, please contact Yingying at

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (e2i).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltds PDPA and e2is PDPA .

• Work closely with cross-functional teams, including production, sales, and logistics, to align project timelines, resources, and deliverables. Ensure timely execution of time-sensitive manufacturing orders.
• Client Support: Assist client-facing teams by providing clear project updates. Maintain a high standard of communication to ensure client satisfaction.
• Inventory & Data Analysis: Use data analytics to optimize inventory levels and forecast project timelines. Coordinate among customers' orders as required.
• Documentation: Ensure accuracy and consistency in project documentation, production plans, and status reports.
• Training & Onboarding Support: Begin with hands-on training in indoor sales coordination for 6 to 12 months to build a strong foundation in customer and production requirements.

• 'O' levels equivalent and higher
• Proficient in Microsoft Office

As a Manager in the Resource Policy Division at Workforce Singapore (WSG), you will support the management of WSG's blacklist, assist in tech-solutioning & system upgrade while WSG operationalise the new (refreshed) blacklist policy. You are also expected to provide data and administrative support to the Data Analysis and Review team, including identification of data sources, conduct data cleaning, managing essential documentation and maintenance of blacklist records to ensure proper audit trail, and coordination with relevant stakeholders.

As a Manager in the Resource Policy Division at Workforce Singapore (WSG), you will support the management of WSG's blacklist, assist in tech-solutioning & system upgrade while WSG operationalise the new (refreshed) blacklist policy. You are also expected to provide data and administrative support to the Data Analysis and Review team, including identification of data sources, conduct data cleaning, managing essential documentation and maintenance of blacklist records to ensure proper audit trail, and coordination with relevant stakeholders.

Your key responsibilities include:

• Assist in the tracking and coordination work related to tech-solutioning and system development to operationalise WSG's new (refreshed) blacklist policy
• Support system configuration requirements for Beneficiaries Eligibility Checks Systems (BECS) enhancements to enable more robust blacklist screening processes
• Support and assist in the User Acceptance Testing (UAT) to ensure all users requirements are met prior to the final acceptance/sign off
• Assist to update and maintain the blacklist master-list to ensure only legitimate entry onto the blacklist master-file
• Coordinate and support the implementation of the blacklist management SOPs, including attending to queries and clarifications received
• Liaise and collate the review of non-compliance cases
• Coordinate with divisions to obtain programme data and support in data cleaning work
• Providing general routine/administrative support, such as scheduling meetings and minute-taking, and assisting the Resource Policy Division with other ad-hoc tasks

Requirements:

• Strong numerical aptitude and meticulous with attention to details; prior experience in system development and data analysis would be an added advantage
• Proficiency in Microsoft Excel and other Microsoft Office applications
• Good written and verbal communication skills
• Ability to work independently and meet tight deadlines
• Good mastery in business processes and previous experience in working closely with IT team would be an added advantage
• Ability to maintain confidentiality and handle sensitive information with discretion

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

• Work closely with cross-functional teams, including production, sales, and logistics, to align project timelines, resources, and deliverables. Ensure timely execution of time-sensitive manufacturing orders.
• Client Support: Assist client-facing teams by providing clear project updates. Maintain a high standard of communication to ensure client satisfaction.
• Inventory & Data Analysis: Use data analytics to optimize inventory levels and forecast project timelines. Coordinate among customers' orders as required.
• Documentation: Ensure accuracy and consistency in project documentation, production plans, and status reports.
• Training & Onboarding Support: Begin with hands-on training in indoor sales coordination for 6 to 12 months to build a strong foundation in customer and production requirements.

• 'O' levels equivalent and higher
• Proficient in Microsoft Office