Total 10,235 Full-time data entry clerk job vacancies in Singapore

We seek a full-time or part-time logistics clerk to maintain customer records and manage delivery documentation at Jurong Port. The role will involve updating customer data, verifying delivery weights, and handling delivery documents.

No prior experience is required. As long as you can speak basic English, have some computer knowledge, and live near Jurong, we encourage you to apply. If you are a retiree looking for flexible hours, you are also welcome to apply for this position.

Full time (9-6 pm)- 2 off days/week

Part-time - Timing to be negotiated $10/hour

• Maintain accurate customer records in the computer system.
• Retrieve and input order details after weighing the loaded truck.
• Record the weight and ensure customer order details are accurate in the Delivery Order.
• Print and issue the Delivery Order.
• Ensure that all scheduled deliveries for the day are completed as planned.
• Collaborate with the operations team, including truck drivers and construction site personnel, to facilitate efficient deliveries.

Job Description

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

Risk Data Business Analyst
We are seeking a skilled and experienced Risk Data Business Analyst to join our team. This crucial role will support the enhancement, implementation, and ongoing support of risk data-related projects. You will be responsible for bridging the gap between business needs and technology solutions, ensuring the effective delivery of high-quality risk data.

Responsibilities:

• Translate complex risk data requirements into detailed specifications for our technology teams.
• Design and execute User Acceptance Testing (UAT), including test strategy development and scenario creation. Independently resolve UAT issues and provide support to end-users.
• Investigate and resolve production-related queries and issues.
• Manage project timelines effectively, ensuring adherence to deadlines.
• Collaborate with cross-functional teams across the bank, including technology, upstream and downstream system teams, and project stakeholders.

Qualifications:

• Minimum 3 years' experience in a similar role, preferably within the banking and financial services industry.
• Proven experience in large-volume data testing and a strong understanding of data marts/data warehouses.
• Proficiency in SQL is mandatory.
• Experience with Python and Big Data systems is a significant advantage.
• Familiarity with Agile product development methodologies.
• Experience with Consumer Credit Risk and banking products is highly desirable.
• This role offers a challenging and rewarding opportunity to make a significant contribution to the bank's risk management function.
• If you are a highly motivated individual with a strong analytical skillets and a passion for data, we encourage you to apply.

Interested candidates kindly submit your updated CV in a Word Format to: [email protected]. If shortlisted candidatess will be notify. Thank you.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

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

The Company

Our client, a prominent Singapore-based organization based in Changi. Headquartered in Singapore, this organization has established a strong presence throughout APAC, Europe, and other key global regions. Known for its dynamic, fast-paced environment, the company is currently seeking a skilled Compliance Manager to join its growing team and contribute to advancing the company’s global compliance framework.

Responsibilities

In this mid-level role based in Singapore, you will work closely with the Chief Legal Officer and VP of Ethics & Compliance to enhance and manage the company’s compliance policies and regulatory initiatives across multiple jurisdictions. This position will focus on data privacy while supporting a broader compliance scope, ensuring that the company adheres to relevant regulations and industry standards worldwide. Key responsibilities include:

• Assisting in the development, documentation, and implementation of compliance policies and procedures to support the Ethics & Compliance team within the Legal & Secretariat department.
• Leading efforts in areas of personal data protection, anti-bribery measures, trade sanctions, and ethics, with an emphasis on translating local and international regulations into actionable company policies.
• Administering third-party due diligence, managing vendor risk, and handling compliance risk areas, such as sanctions red flags or bribery concerns.
• Creating and delivering compliance training programs, including e-learning modules, in-person sessions, and organization-wide compliance communications.
• Collaborating with business units to establish compliance-related processes and effectively engage with internal and external stakeholders, including senior management.
• Managing incident responses for data breaches and assisting in ongoing compliance initiatives as required across jurisdictions.
• Taking a proactive approach to stay updated with regulatory changes and enhance the organization’s compliance standards.

Requirements

• A degree in Law preferred.
• Professional certification in data protection (such as Singapore PDPA certification or GDPR) or an equivalent qualification is preferred.
• 5-10 years of relevant experience in compliance, particularly in data privacy, regulatory compliance, and/or ethics.
• Solid understanding of legal and regulatory requirements in Singapore and other key jurisdictions (US, UK, EU).
• Excellent communication skills, with the ability to draft clear policies and deliver precise communications to various stakeholders.
• Self-motivated with strong initiative, adaptable in a fast-paced environment, and resilient with a high level of professionalism.
• Ability to collaborate effectively within a global team structure, fostering positive relationships with colleagues and stakeholders.
• Open to learning new areas within regulatory and compliance frameworks as required.

Location: Singapore, Changi Office (4 days a week on-site).

Willing to travel to Australia and other APAC regions on a regular basis

Job Description & Requirements

• Lead a project design team from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects
• Liaise with and support the Development Manager and senior management on client and customer proposals to ensure that there is seamless transition once projects are implemented
• Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design
• Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)
• Produce consultant briefs to develop designs from feasibility stage through concept, scheme and detailed design stages, ensuring continuity of design philosophy and approach
• Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team
• Understand commercial implications of engineering decisions and build cost models for customers.
• Leverage local subject matter expert's tribal knowledge, spread adoption of best practices
• Coordinate closely with data centre field operations to foster alignment and partnerships for business success
• Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development.
• Build and manage project scope, equipment requirements and assist with proposals and capital requests
• Stay updated on data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Requirements:

• 10+ years' experience in design and project delivery;
• A Bachelor’s engineering degree is a plus
• In-depth understanding of Australia business regulations with extensive experience working with relevant Partners in the region.
• Experience working for a data centre operator and previous hyperscale and cloud experience, ideally in the Asia Pacific market
• Good overall knowledge of the current data centre market in Australia
• Excel at communication and can deliver effective presentations on data centre operations to customers, peers and management
• Strong leadership and foresight to lead multi-disciplinary teams across multiple geographies

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

One Marina

M-F, 8.30am to 5.30pm

Senior Executive, Business Transformation & Synergy

up to 5300

Requirements

- project Management

- ⁠data analytics and dashboard visualisation

- ⁠strong communication and need to manage and work with global parties and internal depts

§ Support in Project Management for Data Driven Enterprise project (DDE project)

§ Handling enhancement requirement from regional / headquarter stakeholders and assign to development team for development

§ Design new data mart to enhance visualization effectiveness and coordinate with development team for deployment

§ Assist in managing and developing data handling processes and governance frameworks across the organization

§ Oversee the project backlog and monitor progress through consistent communication with global stakeholders

§ Provide weekly updates on the Looker Explore enhancement backlog in collaboration with the Global Headquarters (GHQ) and Regional Headquarters (RHQ) business team, ensuring that the necessary data and reports are available for business use

§ Support in Project management for global cost saving initiatives

§ Create and maintain cost visualization dashboards using Looker (BI) through effective communication with Product & Network business teams, supporting their efforts to meet cost-saving targets

§ Support in any ad hoc tasks as assigned

To apply: Email your resume to:

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.