Description

✔️Friendly working environment

✔️Immediate Hiring

✔️Career Progression

Job Scope:

• Create fun learning activities for children
• Keep kids safe and happy
• Talk to parents about their child's day
• Help the main teacher with daily activities
• Help with meals and clean-up
• Assist with diaper changing or potty training
• Keep the classroom clean and organized

Requirements:

• High school diploma or equivalent (further education in childcare or early childhood development is a plus)
• Ability to follow instructions and work as part of a team
• Physical ability to lift children and engage in active play

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

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Lee Cheng Yin (Gina) (R22104523)

EA License No: 20C0358

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.

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

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

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

Interested Applicants
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

Job Description:

The role is for the position of VP – Network Data Architecture ASO TIS Job function in Singapore. The successful candidate will be part of a growing dynamic regional team that oversees IT design and development of Network Solutions In the region.

We are seeking a talented Network Architect to join our team. The Network Architect will be responsible for designing, implementing, and maintaining the network infrastructure to ensure the confidentiality, integrity, and availability of our organization's data and systems.

Roles & Responsibilities:

• Network Design and Architecture: Lead the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Data Flow Management: Ensure efficient, secure, and optimized data flows across the organization's network infrastructure, including data canters, branch offices, and cloud services.
• Technology Strategy and Roadmap: Collaborate with IT leadership to develop network strategies and roadmaps, ensuring alignment with business goals and future technology trends.
• Capacity Planning: Perform ongoing network performance monitoring and capacity planning to handle current and future data demands.
• Security Compliance: Collaborate with peer teams to ensure networks are designed and implemented with security best practices, regulatory compliance (e.g., GDPR, HIPAA), and threat mitigation in mind.
• Vendor Management: Manage vendor relationships and evaluate third-party network technologies, products, and services to support business requirements.
• Documentation and Standards: Develop and maintain documentation for network architecture, including diagrams, configuration guides, and operational procedures.
• Cross-Department Collaboration: Partner with application, cloud, and infrastructure teams to optimize overall system performance and deliver integrated solutions.
• Troubleshooting: Act as the top-level support for diagnosing, troubleshooting, and resolving complex network issues, ensuring business continuity.

Technical Capabilities

Arch, Design and Implement Network Solutions:

• Design and implement Network solutions to protect the organization's network from unauthorized access and attacks.
• Review current designs and re-design to improve quality of services and to ensure modernized, fit for purpose Network infra for employees.

Develop and Maintain Network Security Policies, Standards, and Procedures:

• Develop network data security policies that outline the organization's security objectives and requirements.
• Establish security standards and procedures for configuring and managing network security devices.

Contribute into Risk Assessments for Data / Connectivity Audits:

• Participate in regular risk assessments on core infra to identify potential security vulnerabilities and threats.
• Contribute to security audits to assess the effectiveness of existing controls and identify areas for improvement.
• Recommend security enhancements based on the findings of risk assessments and audits.

Collaborate with IT Teams:

• Work closely with IT teams to integrate requirements into network infrastructure and applications.
• Provide guidance on implementing best practices and standards.
• Collaborate with application developers and system administrators to ensure that business requirements are met.

Enhance Network Traffic Monitoring and Innovate Automations:

• Enhance network traffic monitoring to effectively detect issues
• Take appropriate actions to mitigate the impact of incidents and prevent future occurrences.
• Look for predictive analysis/solutions to improve user experience, quality and capabilities of networks.

Provide Technical Guidance and Support:

• Provide technical guidance and support to team on network best practices.
• Assist in troubleshooting network Problems and coming up with solutions to address them.
• In-depth insight and oversight onNetworking Protocols: Expertise in IP networking protocols (e.g., BGP, OSPF, MPLS, VLANs, IPsec, TCP/IP, QoS) and related technologies.
  Cloud Networking: Hands-on experience with cloud networking in platforms such as AWS, Azure, and Google Cloud, including hybrid cloud designs and integrations.
  Network Automation: Knowledge of network automation tools (e.g., Ansible, Python scripting, Terraform) to automate configuration, deployment, and management processes.
  Virtualization: Experience with network virtualization technologies such as SDN (Software-Defined Networking) and NFV (Network Function Virtualization).
  Security Technologies: Proficient in network security technologies like firewalls, VPNs, IDS/IPS, DDoS protection, and identity access management (IAM).
  Network Monitoring: Familiarity with network monitoring tools (e.g., SolarWinds, Netscout, Wireshark ) for performance and anomaly detection.
  Data Center Architecture: In-depth understanding of data center networking (e.g., spine-leaf, fabric architectures) and cloud connectivity
  

Job Requirements:

• Min 15 years of experience in networking, with at least 7+ years in an architectural or senior engineering role.
• Experience in leading the design, planning, and implementation of scalable, high-performance data network architectures, including LAN, WAN, SD-WAN, and cloud-based network solutions.
• Cisco Certified Internetwork Expert (CCIE), AWS Certified Advanced Networking, or other equivalent certifications.
• Strong understanding of enterprise-level network architectures, data center environments, and cloud integration.
• Demonstrated ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
• Proven track record of innovative problem-solving and ability to troubleshoot complex network systems.
• Experience in managing network infrastructure projects from initiation to completion, including budgeting, planning, and execution.
• Bachelor’s Degree: Degree in Computer Science, Information Technology, Network Engineering, or a related field is required.
• Master’s Degree (Preferred): An advanced degree in a relevant field is a plus, particularly in network architecture, cybersecurity, or cloud technologies.

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

Job ID: 10067214

Job Description

1. Input up-to-date research findings and prospect data into database.
2. Conduct simple research using public sources to help identify new individuals and corporates who could be potential stakeholders, and to help compile profiles to prepare for specific events.
3. Compile and update 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.

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 would be a 6 months(renewable) contract position.

Khaty Zainal

R22111204

BGC Group Pte Ltd(Outsourcing)

EA 05C3053

• 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

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

The incumbent is responsible to design, develop and implement AR and FRDMP programs, scripts, batch jobs for AR/ FRDMP systems. He/she will work with stakeholders across various functions to deliver technology solutions to address their business needs.

Job Responsibilities

• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Follow the organizational SDLC processes to deliver the project or enhancement requests, create/update the SDLC documents including functional and non-functional specifications, technical design documents, test plan, test cases, release procedures, system operational documents, user manuals etc.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Manage, maintain, and support applications and the corresponding operating environments, focusing on stability, quality, and functionality against service level expectation.
• Evaluate the current system state, identify aspects which could be improved and recommend changes to achieve the improvement.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.
• Highlight or escalate risk and issues to relevant parties in a timely manner.

Job Requirements

• Masters or bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• In-depth understanding of database management systems.
• Strong communication and influencing skills.

Amazon's Legal Department is looking for a talented real estate lawyer to fill the position of Corporate Counsel – Real Estate and Colocation supporting Amazon Web Services (AWS), a dynamic and rapidly growing business within Amazon.com. AWS is at the forefront of the "cloud" computing and service industry, providing IT infrastructure services such as on-demand compute capacity, storage, content delivery, database services, and more.

Key job responsibilities
As part of the AWS real estate and colocation legal team, you will be responsible for supporting AWS's APJ data center expansion through land acquisitions, leases and licenses with services agreements. You will have transactional drafting and negotiating responsibilities on deals, and will provide legal counsel and contract interpretation to business team members on a daily basis. Transactions range from standard contracts to complex, bespoke, high value agreements. You will have excellent communication skills, organizational skills, and an eagerness to work closely with and be a trusted advisor to your business partners. In this role, you will structure, draft and negotiate agreements, help support AWS real estate and colocation’s existing portfolio, manage outside counsel, and advise internal business clients. In addition, you will help develop, implement, and manage process improvements across the team, resolve legal issues that arise in existing commercial relationships, and handle pre-litigation legal disputes and inquiries.
The successful candidate must be enthusiastic, enjoy working hard and being challenged, and demonstrate sound judgment even in ambiguous situations.

This position is located in our Singapore office.

Basic qualifications

• A qualified lawyer with at least six years of post-qualification legal experience (with at least three years at a law firm) as a real estate lawyer
• Experience drafting and negotiating contracts in English
• Strong written and oral communication skills

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

We are seeking a skilled Data Analyst to collaborate with business teams on the enhancement, validation, and implementation of Machine Learning (ML) models. The role also involves designing and maintaining an intuitive, user-friendly data visualization dashboard to support critical business decisions and model performance monitoring.

Key Responsibilities:

• Design and develop a dynamic dashboard enabling stakeholders to assess ML model performance and make data-driven decisions.
• Detect model performance deterioration and trigger retraining.
• Identify and remove variables misaligned with business objectives.
• Evaluate the inclusion of newly created variables in models. Compare retrained models to current models for replacement decisions.
• Enhance existing model code to streamline the addition or removal of variables.
• Collaborate with business teams to align ML model functionalities with objectives.
• Implement error-handling mechanisms to provide informative and actionable error messages on the dashboard's user interface.
• Perform data cleaning, wrangling, visualization, and analysis to derive insights that support business operations.
• Develop interactive reports and dashboards using tools like Power BI or Tableau.

Qualifications and Skills:

• 3+ years of experience in data cleaning, wrangling, visualization, and analysis.
• Hands-on experience with Python 3 and development tools like VS Code.
• Experience in MLOps and version control systems like Git is desirable.

Technical Skills:

• Proficiency with data visualization tools (e.g., Power BI, Tableau).
• Familiarity with various Machine Learning models and their operational requirements.
• Exposure to working in a Linux environment.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

Salary: up to $5000

Working Days & Hours: Mon-Fri Office Hours, Alt half Sat

Location: Kent Ridge

Job Description:

1. Conduct targeted and individualized physical assessments for participants upon recruitment and during periodic reviews (training will be provided).

2. Develop and implement exercise programs for participants, including OTAGO and Motor-Cognitive Dual-Task training.

3. Train and supervise volunteers and staff at Senior Activity Centres to conduct exercise programs and periodic reviews.

4. Provide education talks on falls prevention, frailty, and healthy aging.

5. Ensure proper documentation of records for referral to community partners.

6. Work as part of the “Implementation of Decade of Healthy Aging Action Plan to Screen and Prevent Decline in Intrinsic Capacity in Elders (SPICE) Through Multisectoral Collaboration” Team or community partners to deliver the above services.

7. Participate in multidisciplinary discussions with team and partners

8. Foster close and warm relationships with participants, their families, and volunteers, demonstrating care and respect.

Job Requirements: Min Degree in Physiotherapy & VALID AHPC

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

Job Description:

• Assist in picking and packing of medications
• Assist in preparation of the prescriptions
• Assist in pharmacy operations
• Help to deliver / top up medications for satellite pharmacy

Job Requirements:
• Min N/O/Nitec/Dip
• Able to commit min 3 months
• Able to start within a short period of time

Interested and qualified candidates, please send in your resume to [email protected]

Ivy Yong Shi Mei Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R2198995
[email protected]

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

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

Salary: Up to $3150

Duration: 6 months

Location: Redhill

Working Hours: Monday - Friday Office Hours

Job Scope:

• Coordinate with Tenancy and Programming team to implement and execute tenant engagement sessions, placemaking/ programming initiatives

• Support Enabling Village’s Invitation for Programmes and other event organisation matters including coordination with external stakeholders

• Support all other matters such as department administration and scheduling where required

Requirement:

Minimum Diploma/Degree

• Ability to multi-task and stay organised

• Responsible, driven, able to take initiative

• Good team player; able to collaborate with team members and external stakeholders

• Good writing and communication skills

• Experience with design softwares (e.g. Canva) is good to have

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic