About the Role

We are looking for a meticulous and detail-oriented Data Entry Associate to support our Clients, Export Department of a leading global logistics company. This is a 3-month contract role based in Changi South, suitable for entry-level candidates who are organized, quick to learn, and comfortable working in a structured environment.

Key Responsibilities

• Perform accurate and timely data entry of export shipment records into internal systems
• Verify and update shipping documentation and export-related data
• Liaise with internal teams to ensure data completeness and accuracy
• Generate and maintain reports using MS Excel
• Assist with general administrative and operational support for the Export Department

Requirements

• Proficient in Microsoft Excel (e.g. formulas, data sorting, vlookup)
• Good typing speed with a high level of accuracy
• Meticulous, responsible, and able to work independently
• Able to commit to a 3-month contract

Salary: $2,300 per month
Location: Changi South
Working Hours: Monday – Friday, 9:00 AM – 6:00 PM
Contract Duration: 3 months (commitment required)

*On-the-job training provided

• Exposure to the export operations of an established global logistics organization

*We regret that only shortlisted candidates will be notified.*

Liz Ooi Li Chen
EA Registration No.: R1104561
Recruit Express Services Pte Ltd
EA Licence No.: 13C6614

Junior Data Scientist – Business Operations & Analytics

Summary

We are seeking a highly analytical and strategic Junior Data Scientist to drive data-led decision making across a large-scale customer and business operations environment. This role will focus on leveraging advanced analytics, reporting, and data modelling to uncover actionable insights, improve operational performance, and influence business strategy. The ideal candidate thrives in ambiguous environments, can independently manage complex cross-functional initiatives, and is passionate about transforming data into meaningful business outcomes.

Responsibilities

• Develop and execute data science and analytics strategies that support business objectives and operational excellence.
• Design, build, and maintain advanced analytical models, prototypes, and frameworks to identify trends, opportunities, and performance improvements.
• Extract, process, and analyze large, complex datasets using SQL, Python, R, and Big Data technologies.
• Create and maintain scalable dashboards, reporting systems, KPIs, and operational metrics to support business performance monitoring.
• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• Partner closely with cross-functional teams including Operations, Product, Engineering, and Business Leadership to solve complex business challenges.
• Drive data governance, reporting best practices, and continuous improvements in analytics methodologies.
• Mentor and support analysts and data professionals, fostering a culture of collaboration, innovation, and analytical excellence.
• Identify opportunities to automate reporting, streamline workflows, and improve operational efficiency through data-driven solutions.
• Present insights and strategic recommendations to senior leadership to influence decision-making and business direction.

Requirements

Essential

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• 2 - 3 years of experience in data analytics, data science, business intelligence, operations analytics, or a similar function.
• Advanced SQL skills, including the ability to build, optimize, and maintain complex queries against large datasets.
• Experience working with Big Data technologies and analytical tools such as Tableau, Hive, Presto, Python, and/or R.
• Strong understanding of operational metrics, KPIs, reporting frameworks, and performance measurement methodologies.
• Proven ability to perform exploratory analysis and derive actionable insights from complex datasets.
• Experience designing dashboards, reports, and visualizations that support business decision-making.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to diverse audiences.
• Strong problem-solving mindset with the ability to work independently in fast-paced and ambiguous environments.

Preferred

• Experience supporting Customer Operations, Customer Support, Scaled Operations, Shared Services, or Business Operations functions.
• Experience working with large-scale datasets in high-growth technology, digital, e-commerce, or platform-based organizations.
• Knowledge of data pipeline architecture, ETL processes, and data warehousing concepts.
• Exposure to machine learning, predictive analytics, forecasting, or statistical modelling techniques.
• Demonstrated track record of driving measurable business impact through data-driven initiatives.
• Experience mentoring analysts or leading cross-functional analytics projects.

This is an initial 12-months contract role

We are looking for an experienced Data Scientist (AI focused). In this role, you will drive impactful data initiatives across the organization.

Key Responsibilities:

• Lead the development and implementation of data science strategies to support key business decisions and operational enhancements. 
• Design, build, and deploy advanced analytical models using tools like SQL, Tableau, Hive, and Presto to derive actionable insights from large datasets.  
• Mentor and collaborate with data scientists and analysts to foster a culture of continuous learning and analytical excellence. 
• Communicate complex findings effectively to both technical and non-technical stakeholders, including senior leadership. 
• Develop and maintain reporting systems, dashboards, and metrics to enable scalable and efficient operations, while driving innovation and process improvements..

Qualifications:

• Bachelor's degree required, along with 2-4 years of experience supporting operations in a technical environment.  
• Strong understanding of operational metrics and KPIs to evaluate team success and performance.  
• Technical proficiency in SQL, including creating, optimizing, and maintaining complex queries, as well as experience with Big Data tools such as Tableau, Hive, Presto, R, and Python.  
• Proven ability to translate complex data into compelling narratives and strategic insights through effective data storytelling.  
• Deep knowledge of reporting systems, data pipeline architecture, and best practices in data visualization to support decision-making.  
• Excellent communication skills, both written and verbal, capable of influencing stakeholders across all organizational levels.  
• Additional qualifications include domain expertise in Customer Operations or similar areas, experience analyzing large databases, a track record of driving business impact through data science, and proficiency in leveraging AI tools

Interested candidates may apply through the application system or send it to sg-rscontracting@morganmckinley.com. Shortlisted candidates will be notified.

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

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

• CAT-1 cleared/eligible candidate is required for this role.
• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data warehouse or data mart operations.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks by SLA (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient inOracle PLSQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Support Engineers and Senior Engineers in performing maintenance and operational tasks as required.
• Respond to system alarms or faults, analyze patterns, and assist in implementing appropriate corrective measures.
• Monitor and investigate alerts from the Building Management System (BMS) and Environmental Monitoring System (EMS)
• Provide updates on unresolved issues, respond to emergencies, and be available for standby duties.
• Contribute to data center projects and additional or alteration works, including construction activities, equipment installations, and coordination with external contractors to ensure compliance with operational standards and project timelines.
• Assist in both scheduled and emergency maintenance events, and support efforts related to accreditation and certification processes.

Requirements:

• Degree in Electrical/Mechanical Engineering or equivalent
• No experience needed (Training provided)
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $3,800 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Job Description

• Design and implement ETL/ELT pipelines and data workflows
• Manage and maintain scalable data warehousing solutions
• Ensure data quality, consistency, and integrity across sources

Requirements

• 0 to 1 Year Experience in Data Engineering
• Polytechnic Diploma or Degree in Computer science/Data Science is essential
• Freshers with strong SQL and Python scripting will be considered
• Willing to learn new technologies and undergo rigorous training
• strong communication skills and ability to work in a team is essential

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

APAC Network Services Internal Networks team is responsible for end-to-end engineering and deployment of network infrastructure services within Bank of America. In this role, you will design, implement, and support enterprise grade network infrastructure across routing, switching, wireless, and remote access technologies. You will play a key part in ensuring secure, scalable, and high-performance connectivity across our global environment.

Responsibilities:

• Responsible for hands-on implementation, engineering, and deployment of new services into production.

• Work with support teams, lines of business and 3rd parties that BofA connect to build end-to-end solutions that balance business, security, availability, and resiliency requirements.

• Eliciting, analyzing, and documenting technical application and service requirements.

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process.

• Manage stakeholder requirements across projects and ad-hoc consulting.

• 3rd level escalation for troubleshooting issues on the production network.

• Identifying and managing the mitigation of risks within the environment.

• Ensuring documentation is updated to reflect new additions to or modifications in the environment and handed into Operations successfully.

• Collaborate with global engineering domain leads and operations teams from service design through operations transition process for new services.

Skills:

• 10 years with hands-on experience in Network Engineering & Deployment team preferably in the banking and finance industry.

• Strong knowledge of networking communication principles, network standards, and network security practices.

• Strong understanding of DMZ architecture principles, segmentation, and security zoning (Internal, External, Enclave etc)

• Strong knowledge of routing protocols (BGP, OSPF, EIGRP, ISIS) and WAN technologies (MPLS/VPLS)

• Experience in engineering and deployment of network solutions including Routing and Switching (Cisco/Arista) and secure connectivity: VPNs, tunneling (IPSec, SSL/TLS, GRE, MACsec)

• Ability to design and validate secure network flows across DMZ zones, NAT, and DMZ ingress/egress patterns

• Experience in vulnerability remediation and risk mitigation in DMZ environments

• Experience in network analytics through packet capture (Sniffer) analysis and end system diagnostics (Netscout).

• Expertise in creating Application and network diagrams including all pertinent flows and decisions.

• Capability to summarize complex issues into executive summaries.

• Ability to motivate and drive execution, with performance driven with the necessary intensity and optimism to succeed and deliver.

• Possesses strong analytical skills and root cause investigation techniques with a desire to expand horizon to next-gen products, applications, and technology.

• Familiar with product deployments within a global banking environment.

• Willing to work some irregular hours based on the needs of global operating model and the location of clients.

• Communicate with business partners at an enterprise level, interfacing with internal business representatives and information security partners.

• Strong analytical skills with ability to identify gaps, challenge others with positive intent, and drive debate towards identification and remediation of underlying risks.

• Knowledge of regulatory risk management in Technology and Information Security domains preferred.

• ITIL processes knowledge: Change Management, Incident Management, Request Management, and Problem Management

• Maintain designs patterns and provide feedback into architectural standards.

• Active participation in the change management process

Desired Skills:

• Subject matter experts in Network Services technologies and provide leadership and strategic/tactical direction related to the successful deployment network projects.

• Eliciting, analyzing and documenting technical application and service requirements.

• Understanding in Automation (Python, Ansible, YAML, REST API, XML and JSON).

• Manage stakeholder requirements across projects and ad-hoc consulting.

• Working experience of Agile techniques and use of Jira

• Working Knowledge of Market Data delivery networks using both TCP and UDP multicast with an ability to comprehensively troubleshoot through these networks

·       Maintain thealumni database by updating records.

·       Involve insystem-based projects.

·       Generate timelyand accurate statistical data and alumni listings.

·       Performadministrative duties.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Company Overview:

We are a leading global forwarding company that specializes in providing world-class logistics and supply chain solutions. We take pride in our ability to deliver efficient and innovative services to our clients, and we are now looking for a talented Data Analyst cum COO Assistant to join our growing team.

Job Description:

As a Data Analyst cum COO Assistant, you will be responsible for collecting, analyzing, and interpreting data to support our business decision-making processes. You will be working closely with various departments to optimize logistics operations, identify trends, and provide actionable insights. You will also responsible for providing high-level administrative support and managing the daily activities of the COO. You will be expected to handle a wide range of administrative and executive support tasks, including managing calendars, arranging travel, coordinating meetings, and preparing reports.

Key Responsibilities:

1. Collect, analyze, and interpret data from various sources to support business operations.

2. Develop and maintain data collection systems, data analytics, and other strategies to optimize logistics and supply chain operations.

3. Apply statistical techniques and programming languages to analyze data and provide actionable insights.

4. Collaborate with cross-functional teams to understand data requirements and implement data-driven solutions.

5. Prepare and present data findings in clear and concise reports to management and other stakeholders.

6. Coordinate and schedule meetings, including preparing agendas and taking minutes.

7. Screen and prioritize emails, phone calls, and other correspondence for the COO.

8. Arrange travel and accommodations for the COO

9. Perform other administrative duties as assigned

10. Stay current on industry trends and best practices related to data analysis and maritime logistics.

Requirements:

1. Bachelor's degree or higher in Maritime Studies, Logistics, Supply Chain Management, or a related field.

2.Excellent communication and interpersonal skills, including the ability to communicate effectively with the Group's internal teams in China.

3. Ability to manage multiple tasks and priorities in a fast-paced environment

4. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

5. Proficiency in at least one programming language (e.g., Python) for data analysis purposes.

6. Familiarity with data visualization tools and techniques.

7. Strong problem-solving skills and ability to work in a fast-paced environment.

8. Excellent communication and presentation skills in English and Mandarin to support coordination with Mandarin-speaking stakeholders and overseas offices.

Location: Raffles Place

Duration: May - July

Working Hours: Mon - Fri

Salary: Up to $15/hour

Job Responsibilities:

• Clean, update, and de-duplicate contact and company records in HubSpot
• Perform accurate data entry and bulk uploads into HubSpot
• Validate data completeness, accuracy, and consistency across records
• Flag data gaps, inconsistencies, or system issues to the team
• Support basic reporting and data extraction when required
• Assist in processing membership applications and updates
• Coordinate with internal teams on incomplete or unclear submissions
• Maintain proper data documentation and audit trails
• Provide administrative support to the team as required

Job Requirements:

• Comfortable working with CRM systems (HubSpot preferred)
• Basic data management skills, including data cleaning, validation, and standardisation
• Strong attention to detail and high level of data accuracy
• Basic proficiency in Excel (e.g. filtering, sorting, simple formulas)
• Able to follow structured processes, data standards, and governance guidelines
• Able to manage repetitive data tasks with consistency and accuracy
• Good organisational, documentation, and follow-up skills
• Prior administrative, data-entry, or data support experience preferred

Ally
The Outsourcing Team
Recruit Express Pte Ltd
EA: 99C4599

The Data Scientist works closely with business stakeholders to uncover challenges, refine use cases, and design analytical solutions that drive measurable outcomes. This role spans the entire data science lifecycle—problem framing, data preparation, modelling, evaluation, communication of insights, and enabling adoption through compellingvisualizations and decision‑support tools.

Key Responsibilities

1. Problem Definition & StakeholderEngagement

• Facilitate discussions with business users to understand their pain points, clarify objectives, and convert them into analytically sound data science problem statements.
• Collaborate with stakeholders throughout the project to refine hypotheses, validate findings, and align on priorities.
• Manage expectations and timelines while balancing analytical depth with business needs.

2. Data Preparation & FeatureEngineering

• Conduct data cleaning, preprocessing, and transformation for both structured and unstructured data to ensure high data quality.
• Perform feature engineering to extract meaningful attributes that enhance model performance.
• Identify relevant datasets and integrate multiple data sources to support analytical work.

3. Analytical Modelling &Experimentation

• Explore data using statistical techniques to uncover trends, patterns, and relationships.
• Build machine learning models for prediction, classification, clustering, or other analytical tasks as required by the use case.
• Evaluate model performance and iterate based on stakeholder feedback and performance metrics.

4. Insights Delivery & Communication

• Translate analytical results into actionable recommendations that stakeholders can apply to drive decisions or business improvements.
• Develop clear, compelling narratives that explain insights and model behaviours in an accessible manner.
• Present analysis with well‑designed visuals, dashboards, and interactive tools that support storytelling and data exploration.

5. Visualisation & User‑Facing Tools

• Design dashboards and interactive visualizations to facilitate self‑service analytics and real‑time data monitoring.
• Apply strong visualization principles to ensure insights are intuitive and impactful.
• Build and deploy customised visual interfaces tightly integrated with underlying data systems.

6. Deployment, Monitoring &Continuous Improvement

• Support model deployment into production environments and collaborate with engineering teams to operationalize models.
• Monitor model performance over time and recommend enhancements as required.
• Contribute to agile project workstreams and participate in ceremonies such as stand‑ups, reviews, and retrospectives.

Required Skills & Competencies

Analytical & Technical Skills

• Ability to convert business challenges into analytical questions and identify appropriate data sources.
• Proficiency in writing data preparation and analysis scripts using tools such as Python, R, SQL, pandas, or equivalent.
• Strong foundation in descriptive statistics, probability, data exploration, and hypothesis testing.
• Skilled in building and validating machine learning models, using modern techniques and frameworks.
• Solid understanding of system design concepts, data structures, and algorithms.

Data Visualization & Storytelling

• Strong command of data visualization principles and tools.
• Capable of developing dashboards and interactive visual tools (e.g., using Tableau, Power BI, Plotly, or custom frameworks).
• Ability to communicate analytical insights through structured storytelling tailored for decision‑makers.

Data Engineering Familiarity

• Understanding of data modelling, data access patterns, and data storage structures such as data lakes, data marts, and data warehouses.
• Familiarity with REST APIs, web protocols, and data extraction via web scraping technologies.
• Comfortable working with big data frameworks (e.g., Spark, Hadoop, Kafka) when required for large-scale processing.

Soft Skills

• Strong communication skills, both written and verbal, with the ability to influence non‑technical audiences.
• Effective stakeholder management and experience working in iterative cycles with feedback loops.
• Organized, self-driven, and able to manage multiple priorities in an agile environment.

Experience Requirements

• Proven experience conducting end‑to‑end data science projects—from scoping and data preparation to modelling and deployment.
• Experience collaborating with diverse teams and managing stakeholders across business and technical functions.
• Prior experience in agile project management or participating in agile delivery teams.

Qualifications

• Degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Systems, or related fields.
• Experience with production‑grade machine learning workflows is an advantage.

Please send your details in MS Word format to john@oaktree.com.sg:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

JOB SUMMARY:

We're looking for a Data Engineer with strong software engineering fundamentals to build and scale our data infrastructure. You'll design high-performance systems that handle massive data volumes and high-concurrency workloads, optimize query engines for speed and reliability, and architect robust data pipelines. This role is for engineers who love solving distributed systems challenges and building production-grade infrastructure that processes terabytes of data daily.

This role is open to fresh graduates and early-career professionals (1–2 years of experience) who are eager to grow their skills in building scalable data systems.

Whether you’re just starting out or already have some experience, this is a great opportunity to develop your data engineering skills and contribute to impactful, data-driven decision-making.

KEY RESPONSIBILITIES:

• Design, develop and maintain data infrastructures, such as computation, query engine and services which can support massive data and high concurrency requests
• Clean, transform, and optimize raw data for storage and analysis
• Work with structured and unstructured data from various sources (databases, APIs, files, etc.)
• Plan data warehouse structure to ensure data quality, accuracy, consistency, and availability
• Optimise for the performance of the data pipeline and service to downstream
• Collaborate with business analysts, data scientists, and backend teams to provide appropriate tools
• Document data models, processes, and technical decisions

What You'll Learn:

• Real-world data engineering with modern tools like Apache Spark/Flink, Kafka, Airflow
• Working with SQL/NoSQL databases, data lakes, and cloud platforms (AWS, GCP, Azure)
• Building batch and streaming data pipelines
• Data modeling, warehousing
• Orchestration and monitoring of data workflows
• Developing high availability services
• Best practices in data governance, privacy, and security
• Collaboration in agile, cross-functional teams with product, engineering, and analytics

JOB REQUIREMENTS: