22 Engineering Analysis jobs in Singapore

Job Title: R&D Engineering Assistant / Failure Analysis Technician (Lab Analysis & Testing) (ID1627)
Location: Pioneer, transport pick up Singapore and JB Bukit Indah
Working Hours: 4334 days 12 hours shift (Day / Night)
Day Shift: 8:00am – 8:15pm
Night Shift: 8:00pm – 8:15am
Basic Salary: $2400 - $3000
Benefit: 12 days Annual Leave, AWS and Variable Bonus


Job Description
• Assist in conducting validation, evaluation, and characterization of media, media processes, and related components to ensure compliance with design and reliability margins.
• Perform surface analysis measurements and support the development of analysis techniques under the guidance of engineers.
• Document and compile results of evaluations and failure analyses for review by engineers.
• Collaborate with engineers to provide input on surface analysis results and support improvement activities.
• Execute daily evaluation and failure analysis tasks as prioritized by engineers to meet target completion dates.
• Operate and maintain surface analysis lab equipment and report any issues to engineer or vendors for repair and maintenance.
• Ensure lab operations comply with ISO quality and safety standards.
• Carry out additional tasks as assigned by engineers to support lab operations and engineering activities.
• Proper 5s housekeeping
• Any other ed-hoc as assigned by superior

Requirement:
• Higher NITEC or Diploma in Science/ Engineering
• Fresh graduate or candidate w/ few years of working experience

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)

Job Description & Requirements

Location: Changi Business Park

Contract duration: 31st Dec 2025

Salary: SGD 6300

Key Responsibilities:

• Internal Reporting and ad hoc data support

• Management of data quality issues

• Engage responsible parties to address root causes and resolutions of data issue

• Support SAS codes optimization and reporting process automation

• Develop and implement data quality checks to ensure accuracy and consistency of data

• Manage multiple ad-hoc requests.

• Other duties as assigned.

Qualifications:

Bachelors/University Degree in Business Analytics or Computer Science

Essential

• Data knowledge, data profiling
• Hands-on experience in data manipulation, data transformation, and code optimization
• Knowledge of accounting and corporate finance, financial modelling, credit and banking products, credit analytics, risk assessment, and transaction execution

Skills: (technical skills)

• Knowledge of advanced SQL and/or SAS coding techniques.
• Knowledge of Microsoft Office Products (Word, Excel, PowerPoint, Access)

Interested candidate please share your resume to with all details

Regards

Shashi (R23112213)

Just Recruit Singapore (EA12C6295)

We are looking for a results-driven Manager to lead data analysis initiatives, manage key client relationships and support service audits. This role is critical in ensuring process compliance, enhancing customer satisfaction, and driving operational efficiency through data-driven decision-making.

What You'll Do:

• Analyse customer usage patterns, service performance metrics, and operational data to uncover trends, inefficiencies, and opportunities for improvement.
• Design and maintain interactive dashboards and predictive models to support proactive service management and strategic decision-making.
• Convert complex datasets into clear, actionable insights for internal stakeholders and external partners.
• Collaborate with process owners and IT teams to ensure data accuracy, consistency, and accessibility across platforms.
• Act as the liaison for internal and external clients, ensuring service level agreements (SLAs) are met.
• Address escalated service issues and coordinate with process owners and/or IT teams for resolution.
• Conduct regular client reviews and performance reporting.
• Gather client feedback to inform service improvements and innovation.
• On a monthly basis, support the team in reviewing calls and written correspondence
• Highlight cases that require immediate attention for service recovery
• Identify service gaps
• Perform additional tasks and responsibilities as assigned, contributing to the team’s objectives

What You'll Need:

• At least a degree with 5 - 10 years relevant experience preferably in Data Analysis and Data insights and/or Service Engagement/ Quality
• Experience in Client Management is advantageous
• Possesses a strategic mind set on organisational service quality
• Independent and self-driven, with ability to work in a fast-paced environment
• Demonstrate strong interpersonal and analytical skills with an eye for details
• Be flexible and willing to adjust responsibilities to align with developing business needs
• Effective communication skills – both written and oral with good command of English language
• Possess strong problem-solving skills and ability to handle impromptu situations
• Proficient in MS Office applications, Power BI

Working Days: 5 days across Monday - Sunday

Location: Central

Contract Period: immediate till Dec 2025 (Yearly renewable based on performance and business needs)

Job Responsibilities:

• Become a specialist in project content, objectives, and deliverables.
• Offer comprehensive support to designated participants, ensuring timely and accurate information gathering.
• Develop a deep understanding of participant's business operations and procedures to facilitate effective information gathering.
• Build strong relationships by addressing participant concerns and challenges.
• Gather information through outbound calls, email exchanges, and on-site visits.
• Maintain consistent communication with participants and stay informed about new contacts.
• Accurately compile, record, and input information into the system, including thorough case documentation.
• Implement strategies and initiatives to improve participation rates.
• Generate monthly progress reports on completion status and service level achievements for reporting officers.
• Provide information analysis and progress predictions to management and stakeholders.
• Assist in investigating escalated issues when required.
• Perform other duties as assigned.

Job Requirements:

• Degree in a relevant field.
• Experience managing large employee-based accounts is a plus.
• Proficiency in MS Word and Excel for reporting and progress tracking.
• Strong verbal communication skills are essential for daily tasks.
• Ability to communicate effectively and manage interactions across different organizational levels, both internally and externally.
• Detail-oriented and thorough in task execution.
• Successful completion of a training course and assessments is required before operational deployment.
• Singaporeans only.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO’s Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

Join to apply for the Risk Data Analysis Specialist - Digital Bank role at Monee

Join to apply for the Risk Data Analysis Specialist - Digital Bank role at Monee

Job Description

We are seeking a highly motivated and analytical Risk Data Analysis Specialist to support and enhance our risk management capabilities across various domains, including Fraud Risk, Credit Risk, Market & Liquidity Risk and Operational Risk.

Job Description

We are seeking a highly motivated and analytical Risk Data Analysis Specialist to support and enhance our risk management capabilities across various domains, including Fraud Risk, Credit Risk, Market & Liquidity Risk and Operational Risk.

In This Role, You Will

• Design, develop, and maintain robust risk data marts to serve as the golden source for risk reporting, analytics, and modelling.
• Build tools and pipelines to automate and optimize risk management processes, enhancing both accuracy and efficiency.
• Deliver ongoing business-as-usual (BAU) support for risk management processes to ensure smooth operations.
• Collaborate with stakeholders to understand risk requirements and translate them into scalable solutions.
• Conduct data and system analysis to identify opportunities for enhancements and drive improvement of data quality and process efficiency.
  
  

• Bachelor's degree in a related field (e.g., Data Science, Computer Science, Statistics, Finance, or Engineering).
• Relevant experience in data engineering, data product management, or data analysis is preferred; fresh graduates with strong skills are also welcome.
• Proficiency in SQL and Python for data processing, automation, and analysis.
• Solid understanding of data warehousing concepts and architecture.
• Strong communication skills and the ability to manage stakeholders effectively.
• Proven ability to take initiative and work collaboratively in cross-functional teams.
• Self-motivated, adaptable, and solution-oriented.
• Experience in risk management—particularly in Fraud Risk or Credit Risk—is a strong advantage.

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology

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Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

We are seeking multiple full-time Research Assistant(s) who will assist with quantitative data analysis in ongoing projects on the economics and demography of aging, pensions and retirement, as well as health of the elderly. The projects are part of a large 5-year research program (2024-2028) which has collaborators in Singapore and the United States. The Principal Investigator of this project is located at Lee Kuan Yew School of Public Policy.

The successful candidate(s) must demonstrate competence in quantitative research methods using STATA or R, as well as the ability to work independently with minimal supervision. Excellent written and spoken English is essential. Research interest and experience in one or more of the above-listed areas on economics and demography of aging, OR pensions and retirement, OR health of older adults is plus.

This position caters to individuals who are looking to further their skillsets and analytical training to develop a career or pursue further studies in the fields of applied economics or public policy research. As such, we require a minimum of one year of past research work experience as full-time Research Assistant. Please state this work experience clearly in your cover letter. This position is not suitable for fresh graduates or those with part-time/ad-hoc research experience only.

Responsibilities of the full-time Research Assistant(s) include:

• Administrative support for research projects under a 5-year research programme
• Conduct literature reviews
• Assist with collecting, cleaning, and analyzing primary/ secondary data
• Draft/contribute to research reports, policy briefs, and articles
• Prepare presentation materials for stakeholder meetings
• Copy-editing and proof reading
• Any other duties as assigned

Requirements:

• At least a Bachelor’s degree in Economics, Finance, Statistics, Demography, or Sociology.
• Candidates with a Master’s degree are encouraged to apply.
• Minimum of one year of past research work experience as full-time Research Assistant.
• Proficient in quantitative research methods using STATA or R.
• Self-motivated and attention to detail.
• Excellent spoken and written English.
• The candidate is expected to be physically present in office during the stipulated working hours.
• Able to commit to at least 1 year of service.

Benefits:

• Competitive salary, 1-year contract.
• Possibility of renewal of contract for additional 1-2 years.
• Highly collegial working environment with an internationally diverse group of scholars.
• Excellent research support provided by the School and NUS.

Interested applicants are invited to send the following list of documents via the NUS Career Portal.
• Cover letter.
• Curriculum vitae.
• Two writing samples (journal articles/reports from past research work, thesis).

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

The earliest start date of the appointment is May 2025. Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will be contacting you directly for an interview.

Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.

Responsibilities

• Analyze compensation data regularly to ensure competitive and equitable pay.
• Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
• Maintain detailed payroll and compensation reports for regulatory and leadership needs.
• Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
• Oversee HR systems to maintain data integrity for payroll and employee records.

Requirements

• Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
• Proficient in data analysis and generating accurate reports with high attention to detail.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email:

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115141 (Tan Su Yee)