257 Environmental Research jobs in Singapore

We are seeking an experienced IT Business Data Process Analyst to enhance our team in Singapore.

• Analyzing current business processes, workflows, and procedures using Python data analysis techniques to identify areas for improvement.

• Leveraging data analytics and visualization skills to drive digitalization initiatives using Python and Tableau.
• Developing optimized processes and procedures to improve efficiency, productivity, and customer satisfaction.

• Bachelor's or master's degree in information technology, engineering, computer science, or related fields.
• At least 9 years of experience in business process data analysis and IT project management.
• Proficient in SQL data analysis and strong analytical skills with the ability to collect, study, and interpret complex data.
• Familiarity with process mapping and modeling techniques, as well as Incident/Problem/Change Management frameworks such as ITIL TQM or ISO 9000:2000.
• Excellent communication and teamwork skills, with proficiency in Microsoft Office suite, including advanced Excel, PowerPoint, and Visio.

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.

• 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.

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.

Senior Principal Data Consultant

We are seeking an experienced IT Business Data Process Analyst to enhance our team in Singapore.

Job Overview:

• Analyzing current business processes, workflows, and procedures using Python data analysis techniques to identify areas for improvement.

Key Responsibilities:

• Leveraging data analytics and visualization skills to drive digitalization initiatives using Python and Tableau.
• Developing optimized processes and procedures to improve efficiency, productivity, and customer satisfaction.

Requirements:

• Bachelor's or master's degree in information technology, engineering, computer science, or related fields.
• At least 9 years of experience in business process data analysis and IT project management.
• Proficient in SQL data analysis and strong analytical skills with the ability to collect, study, and interpret complex data.
• Familiarity with process mapping and modeling techniques, as well as Incident/Problem/Change Management frameworks such as ITIL TQM or ISO 9000:2000.
• Excellent communication and teamwork skills, with proficiency in Microsoft Office suite, including advanced Excel, PowerPoint, and Visio.

• 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.