49 Data Analysis jobs in Singapore

• 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.

We are seeking a highly skilled Data Analytics Specialist to join our team. The successful candidate will be responsible for driving our digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness.

The ideal candidate will have a strong background in data pipeline construction and data lake management, as well as expertise in handling structured and unstructured data. They will also have excellent technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform.

In this role, you will work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions. You will also be responsible for addressing data risks, including those related to PII (Personally Identifiable Information), and ensuring secure data handling throughout the pipeline.

You will be required to leverage data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls. This will involve using quantitative analysis methods for business decisions and applying data team's expertise to solve critical technical problems.

The successful candidate will have a Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience. They will also have a passion for delivering value and driving successful outcomes for the organization.

• Bachelor's degree in Computer Science or equivalent, with 10+ years of data analytics experience
• Proven expertise in data pipeline construction and data lake management
• Expertise in handling structured and unstructured data
• Strong technical skills in relevant data analytics tools (Python, R etc) and AWS cloud platform
• Excellent communication skills
• Leverage of Gen AI to expedite the delivery of solutions

This is an exciting opportunity to work with a leading organization and contribute to the development of innovative solutions. We offer a competitive salary package, comprehensive benefits, and opportunities for professional growth and development.

If you are a motivated and experienced data analytics professional looking for a new challenge, please apply today. We look forward to hearing from you!

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.

**Business Analyst Intern Opportunity**

We are seeking a detail-oriented and highly motivated Business Analyst to join our team. This role offers the potential for contract/temporary hire conversion to a full-time position within 3-6 months, based on performance and business needs.

Main Responsibilities:

• Engage with business users and Product Owners to understand processes and gather requirements
• Perform detailed requirements analysis and contribute to solution design
• Work collaboratively with the development team to ensure clear and actionable user stories
• Conduct functional testing and coordinate user acceptance tests
• Provide user training as part of project delivery
• Offer operational support by recommending solutions to end-user issues

• Degree in Computer Science, Engineering, Information Systems, or related disciplines
• Strong analytical thinking, attention to detail, and problem-solving skills
• Clear written and verbal communication, with strong technical writing ability
• Keen understanding of user needs and interest in software delivery

• Highly motivated individuals who can thrive in a dynamic environment
• Communicate effectively across teams
• Bring structured thinking to fast-evolving challenges

If you are a talented and driven professional looking for a challenging opportunity, please send your CV to the relevant contact via WhatsApp.

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.

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 professional to join our team as a Pricing Data Analyst. This is a highly demanding role that requires strong analytical and problem-solving skills.

The successful candidate will be responsible for setting up rates and tariffs in the DHL Express Billing System (Global Rating Engine – GRE) and supporting the review of profitability simulations.

Additionally, the ideal candidate will have experience with cross-checking special rates set up in GRE and implementing global customers.

This is a challenging role that requires strong organizational and time management skills, as well as excellent communication and interpersonal skills.

• Set up rates and tariffs in the DHL Express Billing System (Global Rating Engine – GRE)
• Support review of profitability simulations
• Cross-check special rates set up in GRE
• Implement global customers

To be successful in this role, you will need:

Diploma/Degree: Any field with a strong analytical background

Skills: Proficient in Microsoft Excel, particularly the capability to analyze large volumes

Other Requirements: Strong analytical and problem-solving skills, excellent communication and interpersonal skills, and ability to work under pressure

We offer a competitive salary and benefits package, including:

Opportunities for career growth and development

A dynamic and supportive work environment

Recognition and reward for outstanding performance

Comprehensive training and development programs

Opportunities for flexible working arrangements

If you are interested in this exciting opportunity, please send your updated resume to us.