First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Primary Math Teachers who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

As a Data Analyst/Engineer, you will be responsible for creating user-friendly applications that will be able to launch Machine

Learning (ML) models and trigger automation solutions. You will need to work closely with cross-functional team of data scientists, engineers, business stakeholders and IT team to support patient care and improve health services delivery.

You may also be required to act as the Trusted-Third Party (TTP) to provide data anonymization, de-identification or re-identification services for (internal) requestors

The Challenges:

• Lead in the gathering of requirements by working and coordinating with clinicians and business stakeholders.
• Translate business requirements into system and architecture design of applications.
• Work with cross-functional teams to successfully develop and deploy automation solutions (including ML Model), ensuring timelines and quality standards are met.
• Work with the IT/data management team to design, architect and maintain the required data inflow and outflow.
• Liaise with analytics platform and clinical system custodians for model deployment and workflow integration.
• Communicate effectively with stakeholders about progress, challenges, and outcomes, translating complex technical concepts into understandable terms.
• Drive continuous improvement model performance and facilitating adoption.
• Create and maintain proper project documentations.
• Perform de-identification and encryption for department managed datasets according to data management guideline.
• Take accountability in considering compliance to policies, guidelines and regulations and take appropriate steps to mitigate the risks.
• Provide prompt feedback to supervisor in anticipation of work-related problems.
• Perform general administrative duties as required.
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g.,Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental-level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

Sarah

Reg No: R2198293

EA License No: 21C0501

*We regret to inform that only shortlisted candidate will be notified. Thank you.

Contract: 12 months

Location: Caldecott

Responsibilities

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements

• Degree
• Experience in Python
• Able to process and structure large amounts of information.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/10214

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

[Job ID: 782386]

Location: Pasir Panjang

Responsibility:

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to Companyteam.
• Any other duties assigned.

Requirements:

[MUST]

• Min 3 to 5 years of working experience in IT industry.
• AliCloud related certification is a MUST.
• Hands-on experience in at least 1 AliCloud related project is a MUST.

[ADVANTAGE]

• At least 1 other cloud (non AliCloud) certification will be preferred.
• More cloud certifications will be a big PLUS.
• More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

To Apply, please kindly email your updated resume to [email protected]

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

We regret that only shortlisted candidates will be notified.

However, rest assured that all applications will be updated to our resume bank for future opportunities.

EA Personnel Name: Ong Jia Hao Lavis

EA Personnel Registration Number: R21100883

EA License no.: 07C5771

Job Description

1. Input up-to-date research findings and prospect data into donor database.
2. Conduct simple research on prospective donors using public sources to help identify new individuals and corporates who could donate, and to help compile profiles to prepare fundraisers.
3. Compile and update donation and fund related information in the departments CRM database.
4. Provide support in preparation of data for development of new data analytics projects, e.g., studying effectiveness of email content.
5. Other basic database admin connected to prospects and donors.

Requirements

1. Minimum A-Levels/Diploma qualification
2. Possess experience working on databases and reviewing and collating quantitative data or qualitative information from public sources.
3. Possess some research experience and skills (e.g. academic/study research, market research, fundraising research).
4. Knowledge of MS Office applications including MS Excel, Word. CRM would be an advantage
5. Ability to work on tight deadlines and work independently and in a team.
6. Demonstrate resourcefulness and flexibility

** This role is a 6-months(renewable) contract.

Khaty Zainal

R22111204

BGC Group Pte Ltd(Outsourcing)

EA 05C3053

• Maintain timely deliverable and accuracy of all critical business reporting and dashboards.
• Collaborate with the different business departments to understand analytical needs and translate them into data requirements with clearly defined data metrics and definitions.
• Coordinate and work with analytics team to optimize the data flow and automate various data sources.
• Day-to-day interaction with dashboard, CRM, and other database on data investigation to track performance of specific business needs.
• Create value for RMS APAC by translating all the data insights to help in making informed marketing, sales, and business strategies.
• Work with local and global analytics teams to drive digital transformation, training, and adoption of solutions.
• Work closely with management to prioritize and do insights generation using data mining and other data manipulation skills.
• Lead ad hoc projects to optimize processes and/or improve the quality of the database.

Job Requirements

• Min Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, Mathematics, or Information Management.
• Min 2 years relevant working experience
• Strong analytical skills, capable of using data analytics to drive business insights and execution
• Experience in solving the business problems by analytical method (modelling, visualization, graph analysis)
• Experience with data visualization tools (Power BI, Tableau, or similar BI reporting platform)
• Knowledge of Salesforce, CRM, Python would be advantageous

Salary range: $4K to $4.5K

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Position Purpose

RISK ORM APAC mission is to provide RISK and APAC Management with a front-to-back consolidated view on operational risks of APAC activities to contribute to the reduction of operational risk and to better respond to the Regulator’s expectations. The RISK ORM APAC mandate is to challenge and supervise the Operational Risk management of APAC activities. It belongs to the second line of defence at BNP Paribas, as part of the Risk Function (RISK) and is placed under the responsibility of the APAC Chief Risk Officer.

The APAC Data Protection Correspondent (APAC DPC) is positioned within RISK ORM APAC and provides expertise on personal data protection related topics in accordance with the relevant RACI. The APAC DPC must assist the APAC Data Protection Officer (DPO) in supervising the compliance of projects and with legal and regulatory personal data protection requirements throughout the APAC region as well as the Group’s and APAC personal data protection policies. The DPC is to ensure second level controls by providing the required supervision and assistance to the 1st Line of Defence.

Responsibilities:

Direct Responsibilities

To contribute to relevant personal data protection activities realization

•To guarantee required norms and methods definition and application to a company’s good data protection risks apprehension (follow-up of projects, information systems adaptation, declarations conception and maintenance, subcontractors contracts analysis, follow-up on control plans reporting, etc.)

•To guarantee advice and assistance to strategical program ongoing.

To support the implementation of the privacy strategy defined by APAC DPO

•To assist the APAC DPO in the supervision and monitoring of implementation of the Group's Data Protection policies and guidelines, bearing the local regulatory requirements in mind, to ensure consistency

•To define action plans and corrections related, and to ensure application of the same

•To alert APAC DPO when activity is under operational risk (non-appropriateness between needs and resources, etc.), to propose correction solutions and to implement those solutions

•To contribute to continuous efficiency improvement and to any optimization process.

To contribute to operational activities achievement

•To adjudicate or mediate APAC DPO engaging decisions, emergencies and escalated issues

To contribute to permanent control actions

•To contribute to perform LOD2 controls and challenge LOD1

•To contribute to perform the check and challenge of the RCSA

•To contribute to RISK ID exercise

•To contribute to OR&C report

To ensure a professional network development

•To participate in local Data Protection Committees when requested by the DPO

•To contribute to Internal Control Committee

•To collaborate with local CROs and RISK teams

Supporting Responsibilities

•To assist the DPO on exchanges with the authorities in charge of the protection of personal data under the responsibility of the DPO

•To assist the DPO in the supervision and implementation of Privacy by Design principles throughout the lifecycle of all projects, activities, products, services, processes and systems

•To contribute to role development by validating data protection requirements for new activities, new products, services or specific operations, and to carry a technical assistance

•To receive, process and advise internal and external local solicitations about data protection

•To receive, process and advise requests from data subjects, subcontractors and partners etc.

•To itemise existing processes and identify breaches regarding data protection requirements (APAC local regulation & GDPR requirements)

•To contribute to perform risk assessment on personal data breaches

•To assist the DPO in monitoring documentation, e.g. the RoPA (Register of Processing Activities)

•To contribute to the identification and notification process for data protection violations according to defined procedures and local legal requirements

•To realize effectiveness for data protection controls and to ensure expected reporting

•To ensure regular reporting to APAC DPO about the activity

•To assist the DPO, where required, with local language nuances, law and practices.

•To contribute in the creation and implementation of awareness programs and to the promotion of a culture of protection of personal data within the scope of responsibility.

Technical & Behavioral Competencies:

*Level:

Level 1: Deep Level 2: Intermediary Level 3: Basic

Knowledge (Required to exercise the position)

•To know standards and norms about data protection - Level 1

Know-how (Implementation of technics, methods, tools to achieve activities)

Technics

•To know how to assess maturity level of the existing facility about Data Privacy - Level 1

Transverse

•To have a professional face-to-face or phone discussion in a foreign language - Level 1

•To prioritize - Level 1

•To efficiently manage several topics at the same time - Level 1

•To issue advice / recommendation taking into account every parameters - Level 1

•To have an efficient speaking communication - Level 1

•To conceptualize / to formalize an idea, a process or a project - Level 1

•To have an efficient writing communication - Level 1

Tools

•To work with BNP Paribas tools (e.g. Data Protection Hub, Risk 360) - Level 2

Behavioural and soft skills:

•To efficiently multi-task with topics and maintain attention to detail / rigor - Level 1

•To issue advice / recommendation considering all parameters - Level 1

•To have efficient communication skills (oral & written) - Level 1

•To conceptualize / formalize an idea, a process or a project - Level 2

•To work as a team / transversally - Level 1

•To identify and analyse risks for the activities that are handled - Level 1

•To assess, issue an opinion - Level 1

•To deploy a strategy and to define an action plan - Level 2

•To animate resources and coordinate their intervention - Level 1

•To show diplomacy to allow a message to be heard - Level 1

•To show conviction, to generate interlocutor’s acceptance - Level 1

•Being able to anticipate and come up with ideas - Level 2

•Creativity and innovation - Level 2

•To show discretion about delicate and/or confidential topics - Level 1

•Ability to manage conflict - Level 2

•To integrate multicultural dimension - Level 1

Special Qualifications (If required)

•Degree holder in legal,business or computer science or IT

•At Least 5 years of relevant experience in IT risk, Cyber security, Data Protection and related regulatory topics

•CIPP Certification or similar privacy certificate would be a plus

a very good understanding of EU GDPR with IAPP/E certification

•3-5 years relevant working experience in privacy is a minimum

•5-8 years in total working experience

•Previous APAC or cross-territory experience preferred

•Experience in senior level reporting and discussion

Position Summary / Project Description

Data Engineer for cloud migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

The Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

•

Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

•

Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

•

Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

•

Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

•

Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

•

Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

•

Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

•

Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

•

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

•

Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

•

Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

•

Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

•

Bachelor’s or Master’s degree in computer science, data engineering, or a related field.

•

Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

•

Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

•

Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

•

Strong knowledge of SQL and NoSQL databases.

•

Familiarity with data modeling and schema design.

•

Excellent problem-solving and analytical skills.

•

Strong communication and collaboration skills.

•

AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Morgan McKinley is looking for a skilled Data Operation Specialist for a 12-months contract with our client in the tech industry.

Key Responsibilities:

• Analyze operational issues to determine if technical solutions or process corrections are needed.
• Track and report on operational performance, identifying trends and areas for improvement.
• Facilitate daily standup meetings and manage customer support ticket prioritization.
• Create Business Review content for leadership meetings.
• Ensure adherence to processes and highlight any deviations affecting support quality.
• Document lessons learned and share insights with cross-functional teams.

Essential Skills/Experience:

• 2-4 years in operations support within a technical environment, with knowledge of Operational Metrics and KPIs.
• Strong problem-solving skills and experience with data visualization and SQL queries.
• Customer-oriented mindset with high attention to detail.
• Ability to multitask and prioritize effectively in a fast-paced setting.
• Excellent interpersonal and communication skills.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Summary

We are seeking a detail-oriented Data Analyst to support daily operational reporting, data extraction for various business needs, and audit-related tasks. This role is integral to ensuring data accuracy, providing actionable insights, and supporting compliance within our credit card operations. The ideal candidate should have a strong analytical background, experience with SQL, and an understanding of financial data relevant to the credit card industry.

Responsibilities

1.Daily Operational Reporting

• Generate, review, and distribute daily, weekly, and monthly reports related to credit card transaction volumes, financial performance, and other OKRs.
• Ensure the accuracy, reliability, and timeliness of all reporting outputs.
• Collaborate with different departments to customize reports to meet operational needs.

2. Data Extraction for Business Operations

• Use SQL or other query tools to extract data as needed for ad-hoc analysis,performance tracking, and business operations.
• Work with cross-functional teams to understand data needs, design queries, and ensure data integrity.
• Identify data trends and provide recommendations based on analysis.

3. Audit and Compliance Support

• Support internal and external audit activities by retrieving and validating required datasets.
• Document data sources, extraction methodologies, and calculations to ensure data transparency.
• Collaborate with compliance and risk management teams to ensure data reporting aligns with regulatory requirements.

4. Data Management and Quality Assurance

• Conduct regular quality checks on datasets and reports to ensure consistency andaccuracy.
• Participate in data cleansing and enrichment initiatives to improve data quality.
• Maintain data documentation and ensure adherence to data governance policies.

5. Continuous Improvement

• Identify opportunities to automate data processes and reporting workflows.
• Develop and enhance analytical tools and dashboards to support decision-making.
• Stay updated on industry trends and best practices in data analytics for financial services.

Qualifications

• Bachelor’s degree in Data Science, Finance, Economics, Statistics, or a related field.
• Proven experience as a Data Analyst, preferably within the financial or credit card industry.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical and problem-solving skills with a keen eye for detail.
• Familiarity with audit processes and regulatory compliance requirements.
• Ability to communicate insights effectively to both technical and non-technical stakeholders.

Preferred Skills

• Knowledge of data warehousing and ETL processes.
• Understanding of credit card operations and financial transaction data.
• Experience with statistical tools (e.g., Python, R) is a plus.

Responsibilities:

• Design and build scalable data pipelines using AWS services such as Glue, Redshift, S3, and EMR to process and transform large datasets.
• Implement best practices for data storage, data lakes, and data warehousing on AWS to ensure optimal performance, security, and cost-efficiency.
• Develop and integrate Generative AI models using AWS SageMaker, Bedrock, and other AI/ML services to deliver intelligent automation and insights.
  Build, train, and fine-tune machine learning models, including Generative AI models, for various business use cases.
• Implement data governance frameworks to ensure data integrity, quality, and compliance with industry regulations.
• Secure data environments by enforcing best practices for AWS Identity and Access Management (IAM), encryption, and data privacy policies.
• Automate data processing and machine learning workflows using AWS Lambda, Step Functions, and Infrastructure-as-Code (IaC) tools like CloudFormation or Terraform.
• Continuously optimize data architectures and AI solutions to reduce costs and improve performance.
• Collaborate with cross-functional teams to identify business challenges and design data-driven AI solutions that address them.
• Provide technical guidance to teams on AWS data services and AI/ML best practices.
• Monitor and maintain the performance of data pipelines, AI models, and AWS infrastructure, ensuring they are robust, reliable, and scalable.
• Troubleshoot data and AI model issues, providing timely resolutions to maintain uninterrupted operations.

Your skillsets/requirement:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related fields.
• 3-5 years of hands-on experience in AWS data engineering and AI/ML projects.
• Proven experience with AWS services such as Glue, Redshift, S3, SageMaker, and Lambda

5 days a week (Monday - Friday) 9am-6pm

Location:Novena

Job Description

• Facilitate survey administration and conduct data validation on completed surveys
• Make calls out to respondents to verify and clarify data
• Conduct and verify data on completed survey cases to ensure data is accurate and reliable
• Support the team and contact service centre in terms of administrative and coordination
• Data entry for completed surveys, and to update status and report to supervisor
• Ensure highest level of customer experience service is rendered
• Respond to queries from respondents in a professional manner
• Maintains a high standard of work quality by consistently meeting and exceeding performance goals
• (KPI)
• Ability to work proactively, independently under tight timelines
• Proficient in computer usage, able to adapt to systems within a short period of time

Requirement

• Possess at least ‘A’ levels qualification or equivalent.
• Proficient in using computer and Microsoft Office
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Must be detailed and ensure data accuracy
• Focus on quality and customer service
• Exceptional listening and analytical skills

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879511 (Serena Ho)

Data Verification Team Lead ( 8 months contract,$3,300 per month)

5 days a week (Monday - Friday) 9am-6pm

Location:Novena

Job Description

• Lead a team of Verification Officers to achieve results in getting the desired number of verifying data from the respondents
• Handle any complaints referred by the Verification Officer
• Verify data and amend query checks to ensure quality of data
• Handle 'refusal' cases by the Verification Officers
• Send email to respondents with incomplete data entry and updates on the daily statistics on the number of completed cases done by the Verification Officers and present the findings to the Deputy Director
• Conduct training for teammates to ensure effective execution
• Setting daily targets and goals to meet the desired deadline Communicate effectively with teammates
• and ensure everyone has a common goal to achieve team results
• Outbound call to respondent for verification of data

Requirement

• Must have relevant experience with proven record in supervisory role
• Must be able to commit till project completion
• Experience with Key Performance Indicators (KPIs)
• Experience in handling projects and meet timeline
• Must be detailed and ensure data accuracy
• Outstanding organizational and leadership skills
• Excellent customer service skills
• Experience with coaching or training
• Comfortable to work in a dynamic and fast-paced environment with tight project timelines
• Able to handle unexpected situations and provide appropriate solutions to stakeholders
• Proficient in Microsoft Office especially MS Excel (Knowledge on Pivot table & vLookup will be added advantage)

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1879511 (Serena Ho)

Job Responsibilities :

• Develop and implement plans for data center migration.
• Supervise the procurement process for new servers and network infrastructure.
• Coordinate and manage data migration and verification activities.
• Establish a new server room in compliance with Green Book standards.
• Execute migration of Wireless and Wired LAN, WirelessSG, and WAN systems.
• Mitigate operational disruptions during the transition period.
• Ensure adherence to security protocols and industry regulations.
• Perform additional tasks related to IT setup and support as required.

Job Requirements:

• Minimum of 5 years of experience in ICT Project Management or IT Infrastructure Projects, with a focus on data center relocations.
• In-depth knowledge of data center operations, network infrastructure, and servers.
• Preferred certifications: ITIL, CISSP, PMP, or equivalent.
• Proficiency in Green Book standards for server room setup.
• Exceptional project management capabilities.
• Proven experience in risk management and mitigation for IT projects.
• Strong communication skills for effective collaboration with diverse stakeholders.

Location : Alexandra

Salary: S$6,000.00 - S$8,000.00

Interested applicants please send your resume to [email protected]

We regret that only short-listed candidates will be notified.

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 I RCB No. 200007268E EA Reg. No. R1107631

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 https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

We are seeking an experienced Veritas Data Insight Consultant to join our team. This role requires hands-on expertise in the sizing, deployment, implementation, and technical support of Veritas Data Insight solutions, with experience in Veritas Cluster Server (VCS) or InfoScale. The ideal candidate will have a strong technical background, excellent communication skills, and a proven ability to manage customer relationships effectively.

Key Responsibilities:

• Sizing and Design:Analyze client requirements and design scalable, effective solutions for data insight and governance using Veritas Data Insight.
  Conduct proper sizing to ensure solutions meet current and future storage and data management needs.
  
• Deployment and Implementation:Lead the deployment and configuration of Veritas Data Insight solutions, ensuring smooth integration and alignment with client systems.
  Implement and optimize Veritas Data Insight solutions for maximum effectiveness in data visibility, usage monitoring, and security compliance.
  
• Technical Support and Problem Resolution:Provide technical support, troubleshooting, and timely problem resolution for Veritas Data Insight and associated products.
  Resolve client issues and escalate complex problems as necessary, maintaining high levels of customer satisfaction.
  
• Customer Relationship and Collaboration:Serve as the primary technical liaison with clients, managing expectations and maintaining strong relationships.
  Collaborate with internal and client teams to ensure project objectives are met and best practices are followed.
  
• Documentation and Reporting:Produce detailed documentation of technical processes, configurations, and operational procedures.
  Prepare and present reports, project updates, and technical findings to clients and stakeholders.
  

Qualifications and Experience:

• Experience: 4-7 years of hands-on experience with Veritas Data Insight, including deployment, implementation, and support.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Technical Skills:Proficiency in Veritas Data Insight, Veritas Cluster Server (VCS), or InfoScale.
  Strong technical troubleshooting and problem-solving skills.
  Familiarity with data governance, storage management, and compliance best practices.
  
• Soft Skills:Excellent writing, presentation, and communication skills.
  Proven customer relationship management and client-facing experience.
  Team-oriented, collaborative, and committed to achieving project success.
  

Why Join Us?

This role offers the opportunity to work with advanced data insight and governance solutions within a collaborative and growth-oriented environment. You will play a key role in helping clients achieve better data management and security outcomes, while expanding your expertise in Veritas technologies.

How to Apply: Please submit your resume and a cover letter detailing your experience with Veritas Data Insight, VCS or InfoScale, and your interest in this position and send to [email protected]

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Assist with the installation and support of data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware components.
• Handle data-bearing devices, including hard drives and SSDs.
• Operate within a ticket-based environment for task management.
• Use pallet jacks or other lifting tools to move equipment safely.
• Support the Data Center Inventory and Asset Management Team in managing inventory and shipping tasks during peak times.
• Flexibility to work during weekends or holidays when required.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related field.
• At least one year of experience in IT Support or Monitoring (fresh graduates with a proactive mindset are encouraged to apply).
• Six months or more in handling technical equipment or machinery.
• Familiarity with computer hardware and components.
• Preferred certifications include CompTIA (A+, Server+, Network+) and Basic Structure Cabling (BSC).
• Physically capable of standing, walking, and lifting frequently, with or without equipment assistance.
• Strong communication skills in English, both written and spoken.
• Enthusiasm for learning and expanding technical skills.

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Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Primary Purpose

Reporting to the Senior Manager, Supply Chain SMO/COE, the Master Data Quality & Governance Manager plays a vital role in ensuring the accuracy and integrity of master data and will be responsible for overseeing and implementing data governance strategies, policies, practices, and processes across the Asia Pacific region. This role is also responsible for collaborating with APAC business stakeholders to understand their data needs and requirements and ensuring data quality standards, processes and procedures align with business objectives, and providing training and support to business stakeholders on data quality best practices.

Develop and Implement Data Governance Framework:

o Design and establish a comprehensive data governance framework across the Asia Pacific region.

o In partnership with Global Data Governance teams define data governance policies, procedures, and standards to ensure consistent and accurate data management practices.

o Collaborate with stakeholders to gain buy-in and support for the data governance initiatives.

Data Stewardship and Ownership:

o Establish data quality rules, monitor data compliance, and resolve data-related issues.

o Ensure data ownership and accountability by establishing data governance and execution roles and responsibilities.

o Drive continuous improvement by monitoring data governance performance and identifying opportunities for enhancement.

o Conduct regular data audits and assessments to identify gaps and recommend corrective actions.

o Collaborate with cross-functional teams, including IT, finance, operations, privacy and legal to ensure alignment and compliance with data governance initiatives.

o Engage with global stakeholders to share best practices, leverage synergies, and contribute to the overall data governance strategy.

Training and Awareness:

o Develop training programs and materials to educate employees on data governance policies, procedures, and best practices.

o Raise awareness of the importance of data governance and its impact on business operations and decision-making.

o Provide guidance and support to business units in implementing data governance practices effectively.

o Act as a subject matter expert, providing guidance and support to stakeholders on data governance-related matters.

Inherent Requirements

Formal Qualifications

Bachelor's in information management, computer science, business administration, or a related field.

Key Skills / Core Competencies

• Strategic thinking ability, as well as detailed analytical and problem-solving skills
• Strong communication and relationship building skills to collaborate cross functionally with internal partners and external customers.
• Comfort in managing relationships with senior leadership.
• Strong entrepreneurial, customer service orientation.
• Ability to effectively prioritize, execute tasks and manage deadlines in a high-pressure environment.
• Good written, oral, and interpersonal communication skills.
• An ability to work well in an ambiguous environment with minimum supervision.
• Strong professional presence and business acumen.
• Innovative, proactive, and flexible to change.
• Self-motivation and a strong sense of ownership and accountability
• Exposure to process improvement methodologies with Lean Six sigma Green or Black belt an advantage

Experience

• Proven experience in data governance, data management, or related roles, preferably within a multinational organization operating in the Asia Pacific region.
• In-depth knowledge of data governance frameworks, principles, and best practices.
• Strong understanding of data quality management, data privacy regulations, and data-related compliance requirements.
• Demonstrable experience leading process change
• Superior vendor management experience
• Demonstrable knowledge and experience in SAP, SFDC, M365, BI and data analysis tools.

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

We regret to inform that only shortlisted candidates will be notified.

• As part of Line Management, you will work with different stakeholders within and across divisions to streamline work processes and policies across trade teams. Perform analysis on business flows, identify areas of improvement and opportunities to optimize yield by leveraging on data analytics.
• You will play a crucial role in enhancing our operational efficiency, identifying trends, and providing actionable insights for trade teams. You will be responsible for analyzing vast datasets relating to cargo flow operations and segmentation, vessel and customer profiling, as well as container inventory movement to drive informed decision-making.

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
• Collaborate with cross-functional teams including ISD, finance, logistics and operations to implement data-driven solutions and process improvements
• Steer improvement mindset and adoption of new technologies & processes
• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Bachelor's degree in Maritime, Data Science, Statistics or equivalent.
• Min 2 years of Experience as Business Analyst

Salary range: $4K to $4.9K

Freight Forwarding industry

central location

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range: $9,000-$12,000

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)

1. MicroStrategy Business Intelligence

2. ETL Pipelines

3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

SearchAsia believes in bringing high-potential job seekers and high-growth businesses together. Our vision to create a thriving economy where people pursue their professional passions and companies achieve new heights of growth and opportunity. Since 2007, we have been working with employers who represent fast-growing industries, including retail, manufacturing, financial services, technology, and more! Across Asia, our clients range from early-stage start-ups to Fortune 500. Our extensive network of exclusive client relationships enable us to offer challenging but rewarding positions that jobseekers will not find elsewhere.

Why you’ll love working here:

· Network with Senior Management and key leaders in the FMCG industry

· Gain exposure to the different types of roles and important skillset that the industry leaders are seeking out for

· Be part of a fun, motivated and enthusiastic team

· Great mentor who will impart knowledge and skills on how to deal with people in your industry and takes personal interest in grooming you

The Role

Partnering with clients in the FMCG and consumer sector to provide executive search services, you will be responsible in ensuring excellence in recruitment process delivery including sourcing, screening, assessing, and marketing candidates to clients. This role focuses on being the important middleman around our key stakeholders, both clients and candidates, to provide right talent sourcing solutions to our client’s business needs. You will be the Subject Matter Expert around business development pitches, candidate sourcing methodologies and recruitment process excellence.

Responsibilities:

· Conduct telemarketing to generate new business leads in the FMCG/Consumer sector

· Work closely with key hiring managers to understand business needs and perform the high-quality end-to-end recruitment process

· Use competency interviewing to identify and differentiate candidate in presentation and short-list process

· Effectively communicate position opportunity and candidate relationship management

Requirements:

· Must have strong passion about the FMCG industry

· Degree in Business or relevant discipline

· Enthusiastic and self-motivated

· Strong team player

· Enjoys challenges and dealing with people

Benefits you will get with SearchAsia

· Extensive and One on One Training & Mentorship from experienced recruiters

· Young, fun and close-knitted environment with an amazing office location in heart of Singapore (Orchard)

· Opportunity to take on regional scope

· Fast track progression

Jocelyn Ho Wen Mun (R1658156) | EA License: 16S8107

[email protected]