No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Location: Sim Drive
Salary: $2500-$3300
Japanese MNC
Mon to Fri 9am to 6pm

No experience welcome/Entry level

Job Description

• Receive orders from Customers, create sales orders and shop orders.
• Provide customer support and management of customer order schedule.
• Co-ordinate with Program Management team in providing quotes to customers.
• Consult with Manufacturing Department regarding equipment, manpower, and workload. Participate in meetings to discuss control problems.
• Ensure strategic development and implementation of long-term contracts with supply base.
• Manage and oversee inventories in our warehouse and at customer sites for those 'Kanban' part numbers
• Receive, interpret, discuss, and edit customer and sales orders. Respond to customer inquiries such as product selection and requests for prices and quotations.
• Issue PO to suppliers based on actual order & forecast and expedite for material as required
• Negotiate with suppliers to support cost reduction and Lead time reduction
• Perform other duties as requested by management.

Requirements

• Expediting skills
• Working knowledge of Microsoft Office applications required.
• Working knowledge of ERP database and access database required

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• MNC
• South
• Working experience in REITS Companies is preferred

Our client, a renowned developer , has an opportunity for a Winner to join the Team as a Lease Management Assistant Manager (Data Analytics).

RESPONSIBILITIES:

• Prepare monthly and ad-hoc management reports for strategic planning.
• Provide data support during meetings and for ad-hoc requests.
• Assist in digital transformation and process improvement projects.
• Submit and analyze gross sales turnover, rental income, and occupancy cost reports.
• Conduct annual lease audits, manage arrears, and oversee tenant-related functions.
• Update system data, maintain the lease database, and track document status.

REQUIREMENTS:

• Degree in Real Estate, Business, Accounting, Finance, or equivalent.
• 4-7 years of relevant experience with team management skills.
• Proficient in Tableau, MS Excel, and SAP; real estate experience is a plus.
• Detail-oriented, organized, with strong communication and interpersonal skills.

OTHER INFORMATION:

• Location: South
• Working days: Monday to Friday
• Salary: up to S$6,000
• Challenging, open, engaging, collaborative and creative environment
• The Company strives to achieve employee satisfaction by providing attractive staff benefits, welfare & training programmes to all staff.

HOW TO APPLY:

If you are a team player, meticulous & organized, and more importantly, believe that YOU CAN MAKE A DIFFERENCE, we would like to hear from you.

Submit your application by emailing a detailed copy of your updated Resume in MS Word Format to David Sia Yi Sheng (EA Personnel Reg. No. R1875905, Achieve Career Consultant Pte Ltd EA Licence No. 05C3451) by clicking the “Apply Now” or contact David at 65909958 for a confidential discussion.

Please indicate the below information in your resume:

• Current & Expected salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

Notice:

We regret that only short-listed candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read & agreed to the terms of our Privacy Policy, and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration, and for our marketing EDMs which you may opt out by unsubscribing in the mailer. You may refer and access our website at www.achievegroup.asia/privacy-policy/ for more information.

Cessation of Collection of full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resumes provided to us does not contain your full NRIC number and full home address during your job application.

Job Description

• Industry/ Organization Type: Manufacture of Electrical Equipment
• Position Title: Sales & Marketing Manager (Data Center)
• Working Location: Nearest MRT – Woodlands North/Admiralty
• Working Hours: Monday – Friday, 8.30am – 6pm
• Salary Package: Up to $8,000 + VB + Commission + Transport Allowance
• Duration: Permanent

Key Responsibilities

• Identify and cultivate new business opportunities and potential segments to drive growth.
• Develop business plans aimed at increasing market share, revenue, and achieving profit goals.
• Negotiate contracts and build strong, long-term relationships with both existing and new clients.
• Track and analyze sales and marketing performance metrics, ensuring progress aligns with targets.
• Prepare and present regular reports for management review.
• Lead and nurture the sales and marketing team, facilitating growth and development within the team.
• Perform other related tasks as required

APPLY NOW!!!

• Minimum Diploma in Business, Marketing, or Electrical Engineering or equivalent
• At least 4 years of Sales & Marketing experience, preferably within the Data Center sector
• Possession of own transport is required.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #70293 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 | Norman Wee | EA Reg No.: R23115114

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

At least (3) years of hands-on experience in

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

Get to Know the Team

As an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

As Senior Data Scientist, you will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions. You will report to the Senior Engineering Manager. This role is based onsite in Singapore.

The Critical Tasks You Will Perform

• Design and fine-tune the systems using machine learning algorithms based on the product requirement. You will choose appropriate algorithms, preparing and cleaning data, training and testing models, and optimising their performance.
• Design and implement A/B test. Generating training datasets for ML models and collecting feedback from the A/B experiments.
• Lead the CI/CD deployment pipelines.
• Develop data related APIs for application integration.
• Collaborate with other team members and engineers.

Qualifications

What Essential Skills You Will Need

• At least 3 years of industrial data science experience, with expertise in machine learning and statistical modelling.
• Programming skills in languages such as Python, Java and R.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorchetc.
• The knows how to and loves to build recommendation models
• The ability to write production ready code
• Experience with statistical concepts and machine learning algorithms.
• Experience with data wrangling, cleaning, and analysis.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

If you are looking for internship opportunity, apply now!

As a Data Analyst / Scientist Intern at ComfortDelGro, you will be embarking on an exciting and fulfilling journey to help ComfortDelGro make smart, data-driven business decisions.

Job Scope

• Manage data on AWS/Azure platform
• Write efficient SQL query to extract and aggregate data
• Perform Data analytics and Data visualization on large data set using Power BI
• Write Python script to extract open source data for analysis
• Build machine learning models to solve business problems

Job Requirements

• Degree in Data Science, Computer Science/Engineering, Applied Mathematics, Operations Research, Statistics or equivalent. Master or PhD is a plus.
• Able to commit at least Min 4 to 5 months (FULL TIME ONLY)
• Experience in writing SQL query to aggregate data.
• Possesses adequate knowledge of analytics and visualization tools like PowerBI / Tableau
• Experience in writing programming languages such as Python, C++, Java.
• Experience in one of the fields: machine learning, deep learning, operations research.
• Good knowledge in statistics and mathematics.

Tentative start date option:

1. Jan 2025 - Dec 2025
2. Jan 2025 - May/ June 2025
3. May/ June 2025 - December 2025
4. others

Location/ Address: 383 Sin Ming Dr, Singapore 575717

Working days: Monday to Friday

Working hours: 8am to 530pm

Internship Allowance: Will be disclosed to shortlisted candidate

• Reputable Data Centre in Singapore
• Global coverage

About Our Client

My client is a leading global data center provider known for delivering secure, high-performance infrastructure solutions to support the digital operations of businesses worldwide.

Job Description

• Keep the Quality Management System effective, following company's guidelines and certification standards.
• Handle Data center certification strategy and plan for audits.
• Perform internal audits to meet internal and global standards.
• Coordinate external certification audits as per the plan.
• Maintain a central database to track issues and improvements found in audits, identify the causes, and ensure timely resolutions.
• Work to bring different management systems under one Integrated Management System for better efficiency and certification compliance.
• Continuously update instructional documents for the QMS.
• Keep the document management system organized and up to date.
• Track and report key performance indicators (KPIs) for quality.
• Assist the Senior Director of Quality & Accreditation with regular reporting and management reviews.
• Help other departments maintain high-quality standards and support them with client requests and audit

The Successful Applicant

• Bachelor degree holder or equivalent professional experience in Data Center industry
• Strong knowledge of management systems and related certifications in Data Center
• 5 years+ of relevant experience in quality management.
• Ability to work well in an international team environment.

What's on Offer

• Attractive package will be offered to the right candidate.

Contact

Hazel Choi (Lic No: R24122391 /EA no: 18S9099)

Quote job ref

JN-102024-6557651

Phone number

+65 6533 2777

Michael Page International Pte Ltd | Registration No. 199804751N

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.

Get to Know the Team

The ACE (Deliveries, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's fastest-growing segments: GrabFood, GrabMart, GrabExpress and OmniCommerce. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

This role is focused on leading analytical thinking for Chope, our most recent acquisition in the OmniCommerce space. Chope provides a suite of solutions for both consumers and merchants to manage their in-store dining. You will report to the Senior Analytics Manager, OmniCommerce and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
• You have the ability to help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
• You are able influence across your team and cross-functional teams. You should also be able to effectively convince senior stakeholders.
• You have exceptional skills in data visualization and storytelling. You should be adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
• You are fluent in SQL, Python, R, or other scripting/programming languages, you're a problem-solver at heart. Your comfort with very large datasets and complex ETL processes sets you apart.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

At least (3) years of hands-on experience in

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

Customer Service Assistant | logistic | Up to $2.5k | 5 Days | Jurong

Basic $1800 - $2500 (With AWS)
Working Days: 5 Days (if required OT will get OT pay)
Working hours: Monday - Friday 8:30am - 6pm
Location: Penjuru road

Job Description

• Shipment coordination (local and cross borders)
• Preparation of daily/monthly report
• Prepare internal reconciliation billing report
• Attend to customer’s daily operation meeting

Requirements

• Minimum 1 year experience in logistics
• Experience in SAP & WMS function will be added advantage
• Computer Literate & Proficient in MS Office

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Description
We pride ourselves to provide quality services as a leading recruitment consultancy in Singapore. We are looking for dynamic, driven and focus individual to join our distinctive team in driving the business development strategy and recruitment processes for our clients. If you think you can take up the challenge as a professional Recruitment Consultant in this ‘people oriented’ field, do not hesitate, come and join us!

Responsibilities:

• Handle full suite of recruitment activities from sourcing, coordinating, interviewing, assessment of candidates to job offering and onboarding for all positions
• Drive the recruitment process by actively sourcing for talent in the related fields
• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates
• Provide career advice to candidates and clients with regards to current market trend
• Propose and negotiate business model / plan with targeted clientele pool
• For successful candidates, Recruit Express offers an attractive remunerations, comprehensive training and a dynamic working environment and exciting opportunities to develop a rewarding career!

Interested in the above role! Please send in your CV to [email protected]

EA Personnel: Denyse Nicole Tan Shuqin
C.E.I : R1333503
Company Registration No: 99C4599

We regret that only shortlisted candidates will be contacted.

Benefit:

• 5 days Work
• Salary : $2000 - $2800
• Good Allowance, Bonus and AWS

Job Scope:

• Perform servicing, maintenance, and troubleshooting on equipment and system the at site
• Ensure the equipment is functionality
• Involve of Installation work for machine
• Partner with other technicians and engineer to perform daily operation
• Respond and attend to fault calls from client
• Ensure Timely check the equipment to ensure they are in workable condition
• Planning and undertaking scheduled maintenance

Requirement

• Possess at least NITEC and relevant field
• 2 years relevant experiences will be advantage
• Entry level welcome to apply, training will be provided

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Are you looking for a career in sales and marketing? Or always wanted that supportive environment to be the best version of yourself? Look no further!

Qualities we are looking for:
-Singaporeans Only

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

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]

Location: Singapore, Changi North Rise
Working Hours: 5 days work week
Benefits:

• Lunch provided
• 2-way shuttle bus services available at Ang Mo Kio & Bedok MRT stations
• Medical Benefits
• Leave benefits according to MOM guidelines

Responsibilities:

• Coordinate and schedule installations, removals, relocations, and periodic maintenance of machines and equipment.
• Submit necessary documents through online portals and handle any follow-up actions.
• Communicate with clients, vendors, and internal teams via email and phone to provide timely updates on service requests.
• Manage paperwork related to service orders, maintenance records, and other administrative tasks.
• Track and report on service schedules, ensuring timely completion of tasks.

Requirements:

• No prior experience required; training will be provided.
• Basic computer skills, including proficiency in Microsoft Excel.
• Strong communication skills (both written and verbal).
• Good organizational skills and attention to detail.
• Ability to work independently and manage multiple tasks in a fast-paced environment.
• A proactive and customer-focused attitude.

How to Apply:
Interested candidates are invited to submit their resumes and cover letters to [email protected]

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]

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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 the shortlisted candidates will be notified.

Email Address: [email protected]

Job Description

• To coordinate various administrative, facility matters
• To communicate and update various departments on facility matters, related to on-site facilities management.
• To work closely with in-house Integrated Facilities Management
• To manage maintenance issues and conduct daily inspections to ensure quality standards are being maintained.
• To assist in facility projects with minor Additional and Alteration works and office renovation as assigned by reporting supervisor.
• To source for appropriate vendors, handles procurement request orders
• Assist in Admin related work as assigned.
• To undertake ad-hoc/cross functional projects.

Required Qualifications and experince

• Minimum Diploma or Degree in related field

• Min 5 years of relevant experience in similar Office, Admin, Facilities Settings

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Alvin Lee Peck Keong

CEI No.: R1104781

Recruit Express Pte Ltd, EA License No.: 99C4599

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215