21 Analytical Skills jobs in Singapore

Financial Operations Specialists are responsible for providing financial and management reporting, variance analysis, and ensuring compliance with company policies and regulations.

They manage unbilled invoices by liaising with relevant stakeholders and oversee fixed asset management. This involves partnering with departments to provide accurate financial insights and support internal controls through SOX testing and audits.

Key responsibilities include budgeting, forecasting, and ad-hoc financial analysis to aid decision-making. They also contribute to finance-related projects and continuous improvement initiatives as needed.

Required skills and qualifications include a min Diploma in Accountancy with 2 years accounting experience. Familiarity with MS Office skills is also necessary, along with a keen eye for detail and solid analytical skills.

Benefits of this role include salary up to S$ 4,000 base per month, completion bonus, and other benefits such as leave etc applies.

Ideally suited for those who possess strong communication and interpersonal skills, with the ability to work independently and as part of a team.

Job Title: IT Infrastructure Specialist

• Install, configure, and maintain hardware and software components to ensure seamless system operation.
• Monitor and optimize system performance by analyzing metrics and implementing improvements.
• Respond promptly to IT-related issues and troubleshoot problems to minimize downtime.
• Collaborate with cross-functional teams to design and implement technology solutions that meet business needs.

Requirements:

• Minimum qualification: ITE, 'N'/'O' Levels, or Polytechnic Diploma in Infocomm Technology or Electrical/Electronic Engineering.
• 1 year of relevant work experience in a similar role.
• Proficient in Microsoft Office Suite (Excel, Word, Outlook), Microsoft Project, MS Teams, Windows, and Linux operating systems.
• Strong knowledge of networking protocols and technologies, including firmware and operating systems.
• Candidates with a valid driver's license and access to a vehicle are preferred.

Key Skills:

• Operating Systems (Windows, Linux)
• Networking
• Scripting
• Hardware
• Debugging
• Test Cases
• Access Control
• Firmware
• Python

As an IT Infrastructure Specialist, you will have the opportunity to work on challenging projects, develop your technical skills, and collaborate with a team of experts. If you are passionate about technology and want to make a difference in a dynamic organization, we encourage you to apply.

Job Title: Data Analyst Trade Finance Operations

We are seeking a highly skilled data analyst to join our team. The ideal candidate will have experience in data analysis, preferably in banking/financial services.

Key Responsibilities:

• Analyse user correction logs by extracting and consolidating data from ClearTrade and vendor systems.
• Preprocess raw data by document type and field to support validation and deeper analysis.
• Work closely with operations teams to understand the root causes of corrections.
• Classify corrections into categories such as necessary (for ML training) or unnecessary (potential rule improvements).
• Summarize findings in clear, actionable formats for both vendor and user feedback.
• Collaborate with business users to understand operational logic and intent behind correction patterns.
• Coordinate with vendors to share insights and recommend improvements to machine learning or rule-based systems.
• Maintain comprehensive documentation of analysis progress and decision rationales.
• Provide regular updates, issue logs, and recommended action plans to senior stakeholders.

Required Skills and Qualifications:

• Bachelor's degree in any field.
• Familiarity with Trade Finance processes and documents (e.g., L/Cs, invoices, shipping documents).
• Minimum 3 years' experience in data analysis, preferably in banking/financial services.
• Ability to handle and interpret large data sets, especially operational or system log data.
• Proficient in English (written with excellent interpersonal skills to liaise with stakeholders).
• Excellent stakeholder engagement, problem-solving, and analytical thinking.
• Experience working with AIOCR systems or trade finance automation tools is a plus.

What We Offer:

• A dynamic work environment that fosters collaboration and innovation.
• The opportunity to work with a talented team of professionals who are passionate about data analysis.
• A competitive salary and benefits package.

How to Apply:

If you are a motivated and experienced data analyst looking for a new challenge, please submit your application.

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 .