Total 352 data entry job vacancies in Hong Kong

Job Responsibilities

1) Data Platform & Enterprise Architecture Leadership

• Define and execute the APAC data platform architecture strategy, aligned with global priorities and regulatory/local market requirements.
• Architect scalable, secure, future-ready data platforms that support business change and modernization outcomes.
• Integrate and modernize legacy systems and disparate data sources into unified, trusted data ecosystems enabling analytics, AI/ML, and GenAI.
• Drive adoption of open systems and standard architectures to improve agility, interoperability, and resilience.

2) Delivery Management & Execution (Architecture-through-Delivery)

• Be accountable for successful delivery of a regional data platform, including day-to-day coordination and delivery oversight.
• Partner with sponsors/stakeholders to define goals, deliverables, and acceptance criteria.
• Support requirements/backlog prioritization, user stories, and alignment ceremonies (stand-ups, showcases/POCs, SteerCo, working groups).
• Create and deliver against detailed project plans; track dependencies, manage delivery risks, and ensure timely execution.
• Manage budgets/forecasts and oversee external vendors/data providers.

3) Governance & Stakeholder Engagement

• Establish and embed architecture principles, standards, and governance, ensuring enterprise-wide alignment.
• Chair/lead architecture forums as needed and provide strategic oversight for significant technology programs.
• Build strong relationships across regional/country technology leadership, product, delivery teams, external vendors, and Head Office (Japan).
• Drive architecture advocacy via workshops and knowledge sharing across business and technology communities.

4) Engineering Excellence (Quality, Simplicity, Performance)

• Apply strong software engineering practices: code profiling/optimization, debugging complex issues, and choosing appropriate languages/paradigms.
• Drive pragmatic design: SOLID/cohesion, idempotence, domain modelling, performance-by-design; familiarity with CQRS and eventual consistency.
• Promote modern delivery practices: automation by default, CI/CD, automated security scanning and performance testing.

5) Reliability, Observability, Security & Compliance

• Design for reliability, performance, and availability and ensure platforms meet both user needs and business goals.
• Facilitate adoption of platforms with embedded observability, risk, and compliance controls.
• Ensure secure-by-default engineering, including server hardening fundamentals and use of SSL/encryption principles.

6) People & Talent Leadership

• Provide technical leadership, mentorship, and guidance to engineering/delivery teams and the architecture community.
• Lead design discussions, gain buy-in, and develop others through coaching and knowledge sharing.

Job Requirements

• Experience: Minimum 10 years delivering in strong engineering teams, with proven delivery ownership for data/technology initiatives.
• Strong background in enterprise/data/solution architecture and modernization programs (cloud adoption and large-scale integrated solutions exposure preferred).
• Strong stakeholder management and influencing skills across engineering, product, and senior business leaders; ability to collaborate across APAC and with Japan/global teams.
• Solid foundation across:
• Software engineering and design practices (performance, SOLID, idempotence, domain modelling).
• DevOps/automation and CI/CD with security/performance testing automation.
• Infrastructure basics (OS, scripting, networking) and data storage paradigms; ability to automate PaaS usage.
• Security principles (secure coding, hardening, encryption/SSL).

Our client is a leading global technology company with a strong presence in digital platforms, innovation, and large-scale software systems. They are currently seeking a highly analytical and business-focused Data Analyst to drive data-driven decision-making, operational excellence, and strategic insights across a large-scale customer support and business operations environment.

This is a 12-months contract role.

Responsibilities

• Analyze large and complex datasets using SQL, Python/R, Tableau, Hive, Presto, and other big data technologies.
• Develop and execute data science and analytics initiatives that support business strategy and operational performance.
• Design, build, and maintain advanced analytical models, dashboards, and reporting frameworks to generate actionable insights.
• Partner with cross-functional stakeholders to identify opportunities, solve business challenges, and drive continuous improvement.
• Present data-driven recommendations and insights to both technical and non-technical audiences, including senior leadership.
• Establish scalable reporting systems, performance metrics, and KPIs to support operational efficiency and decision-making.
• Mentor analysts and contribute to best practices in analytics, reporting, and data science.

Requirements

• 2 years of experience in data analytics, data science, business intelligence, or operational support within a technical environment.
• Advanced SQL skills, including developing, optimizing, and maintaining complex queries.
• Hands-on experience with data visualization and big data tools such as Tableau, Hive, Presto, Python, or R.
• Strong understanding of operational metrics, KPI development, reporting architecture, and data pipelines.
• Proven ability to translate complex data into clear business insights and strategic recommendations.
• Excellent communication and stakeholder management skills, with the ability to influence decision-making at multiple levels.
• Experience working with large-scale datasets and delivering measurable business outcomes through analytics.
• Exposure to customer operations, support organizations, or scaled service environments is advantageous.

Company Overview

A-IT Software Services Pte Ltd, established in 1991 and headquartered in Singapore, specializes in development outsourcing with expertise in project management, system design, and development for consumer banking, credit cards, and loans. The company has a strong track record and regional presence in Malaysia.

Job Summary

You will analyze financial data using Python and analytics tools to deliver ad hoc insights and develop data analytics solutions that support business decision-making in financial institutions.

Responsibilities

• Analyze financial data using Python to generate actionable insights for business stakeholders
• Develop, build, and maintain data analytics solutions to support ongoing business needs
• Use analytics platforms and tools effectively to extract, transform, and visualize data for reporting and decision support
• Provide ad hoc data analysis and insights to address specific business questions and challenges

Other Information

This job advertisement is posted by: Tan Geok Khim (Deng Yuqin) (R22107857) A-IT Software Services Pte Ltd

• EA License No: 24C2345

• “By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by A-IT Software Services and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [A-IT Software Services PDPA website] and [https: //www.e2i.com.sg/pdpa/].”

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. Deep expertise in data science with cutting-edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.
• Model Development & Research. Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields
• Applied AI Solutions. Translate business requirements into generative AI technical solutions. Build and optimize retrieval-augmented generation (RAG) systems. Develop custom evaluation metrics for domain-specific generative tasks
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex. Working knowledge of Python libraries including pandas, NumPy, and scikit-learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands-on experience applying prompt engineering, few-shot, and in-context learning for AI applications. Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server-side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross-functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast-changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non-technical audiences.
• Demonstrated analytical and problem-solving skills with experience deriving data-driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and experience:

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 12416

About Company

My client is a global enterprise developing advanced data analytics and visualization software. They build high-performance tools for interpreting complex, large-scale technical data.

About Job

• Platform Development: Design scalable web applications and interactive data visualization tools.
• Optimize Performance: Maintain and optimize production software for speed and large datasets.
• Cross-Functional Collaboration: Partner with stakeholders to translate complex requirements into intuitive UIs.
• Testing & Quality: Build and enhance automated testing frameworks to ensure software reliability.
• Issue Resolution: Troubleshoot and resolve frontend bottlenecks, usability issues, and bugs.

Skills and Requirements

• Minimum 7 years of professional software development experience (focusing on frontend preferably)
• Must have Frontend Expertise: Extensive experience with Angular or React, and TypeScript.
• Backend & Scripting: Strong proficiency in backend microservices and modern programming languages
• Data & UI/UX: Proven track record handling large datasets and designing clean UIs for technical users.
• App Delivery: Familiar with web and desktop application delivery, and Git.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)

About the Role

The incumbent is responsible for shaping AIA Singapore’s engineering strategy, building scalable and secure application platforms, and driving best-in-class engineering practices across multiple development teams.

This role manages multiple engineering teams delivering enterprise applications built using modern platform using Java, Python, SQL/Postgres/MS SQL, Kubernetes, deployed as microservices on Azure Cloud. The ideal candidate should bring deep hands-on engineering expertise, strong architectural thinking, and the ability to lead and grow technical teams.

The incumbent will partner closely with Technology, Product, AIA Group teams, and business stakeholders to deliver digital solutions that accelerate AIA’s transformation journey.

WHAT YOU'LL BE DOING

Strategic Leadership

• Define and drive the engineering roadmap aligned with AIA Singapore’s digital and data strategy.

• Design scalable, secure, high-performance application architectures leveraging cloud-native engineering on Azure.

• Establish engineering governance, coding standards, DevOps practices, and quality controls to ensure security, availability, and operational excellence.

• Stay current with emerging technologies and proactively introduce modern engineering capabilities (microservices, containerization, APIs, DevSecOps, data engineering practices, etc.).

Delivery Ownership

• Oversee delivery of complex, mission-critical applications across 5 engineering teams.

• Collaborate with AIA Group, Technology teams, and Product Managers to define, plan, and execute the technology roadmap.

• Ensure teams deliver high-quality, scalable and maintainable solutions within agreed timelines.

• Remove blockers, optimize engineering processes, and drive continuous improvement in speed, stability, and reliability.

Stakeholder Collaboration

• Serve as primary point of contact for business units, translating outcomes to measurable deliverables (SLAs, KPIs, timelines).

• Drive prioritization and backlog management across multiple squads, balancing regulatory deadlines, business demand, and technical debt.

• Champion data product thinking—clearly defined ownership, contracts, SLAs, versioning, and standardized documentation (API specs, data dictionaries).

Governance Risk and Compliance

• Ensure compliance with applicable regulatory frameworks (e.g., MAS TRM, cyber hygiene, records retention), audit readiness, and evidence collection.

• Own access management and API policy governance (rate limits, quotas, consumer onboarding, keys, secrets).

Operational Excellence

• Define and monitor SLAs for system availability, performance, and reliability.

• Implement automation and monitoring solutions to ensure efficient operation and minimal downtime.

• Oversee capacity planning, mange budget, forecasting costs, optimizing platform usage and infra resources and cost optimization of infrastructure.

People leadership

• Build and lead a high‑performing team (platform engineers, leads, API developers).

• Foster a culture of customer focus, accountability, and continuous improvement; mentor managers and senior ICs.

• Develop talent pipelines, succession plans, and partner strategies (vendors, SIs, managed services).

WHAT YOU SHOULD HAVE

• Degree from a recognized University in Information Technology, Computer Science, Computer Engineering or equivalent.

• 12+ years of total experience in which 10+ years of hands-on software development experience with strong proficiency in Java, Python, Microservices architecture, SQL & relational database design, Kubernetes & containerization, Cloud-native development and 8+ years of engineering leadership experience managing multiple technical teams or large-scale engineering organizations.

• Proven experience in designing and delivering enterprise-grade systems with high scalability, performance, and availability.

• Strong architectural mindset with the ability to guide technical direction and make informed engineering decisions.

• Ability to influence cross-functional stakeholders across business, technology, and group teams.

• Experience in coaching and developing engineering managers and senior engineers.

• Insurance/financial services experience is a plus but not mandatory.

• Highly technical and hands-on when necessary; able to engage deeply with engineers on architecture, design, and code-level challenges.

• Strong leadership presence with the ability to motivate and inspire high-performing teams.

• Growth mindset and willingness to continuously learn and adopt new technologies.

• Excellent communication, collaboration, and problem-solving skills.

• Passionate about building sustainable engineering culture, not just managing projects.

About the Role

Duration: 12 Month Contract

Responsibilities:

• Manage Front Office’s queries and support troubleshooting
• Manage processing of e-banking applications / modifications / cancellations, mailing addresses and conditions changes for clients and agents accurately and timely
• Handle returned mails for client portfolios
• Manage ad-hoc clients statements and advices printing requests
• Maintain client data in the bank systems and perform clean-up when required
• Deliver consistent service and meet the established SLAs (Service Level Agreements) while complying with the Bank’s policies and procedures
• Support any ad-hoc tasks / requests as assigned from time to time

Requirements:

• Degree with at least 3 years of account documentation requirement in Private Bank
• Experience in mailing related data maintenance for Client and Agent (EAM, EFA, Finder) records is preferred
• Proficient in MS Office applications (Word, Excel, PowerPoint), Macros and Visual Basic knowledge as well as an aptitude for technology

**This Singapore-based position is opened to Singaporeans only

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd   |   EA Licence:11C3793   |   Nurul Amirah |   Registration No: R22108940

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Data Centre Cabling Coordinator role for our client in Singapore which is a leading global investment bank. The Cabling Coordinator is responsible for coordinating and managing structured cabling requests across the APAC region, covering data centres and network rooms. 

The role ensures timely delivery, standardisation, and compliance with cabling standards while supporting regional projects and operational requests, including after‑hours and weekend activities when required.

Key Responsibilities

• Act as the regional point of contact for APAC cabling requests (MACs, projects, refreshes).
• Coordinate cabling activities with local sites, vendors, and internal teams.
• Ensure cabling works comply with global standards, labelling conventions, and best practices.
• Review cabling designs, rack layouts, and pathways for feasibility and scalability.
• Track request status, manage schedules, and provide regular updates to stakeholders.
• Validate work completion, testing results, and documentation.
• Support weekend and after‑hours cabling activities for critical implementations.

Required Skills & Experience

• Experience coordinating structured cabling in data centres and network rooms.
• Strong knowledge of fibre and copper cabling standards and practices.
• Experience working across multiple countries/sites in APAC will be an advantage
• Strong coordination, communication, and documentation skills.

Working Conditions

• Regional APAC coverage with occasional weekend and after‑hours support as required.

Duties and Responsibilities:

• Support the Capesize broking team in the negotiation and fixture process by providing timely market intelligence and operational support.
• Monitor and analyze dry bulk shipping market activities, with a focus on the Capesize segment.
• Prepare and distribute daily market updates, including vessel fixtures, freight rates, and route-specific developments to brokers and clients.
• Maintain and update centralized market databases to ensure the accuracy, relevance, and timeliness of information.

Detailed Day to Day task:

• Update and maintain daily records of Capesize fixtures and freight market developments across key trade routes.
• Compile and distribute morning market reports for brokers and clients.
• Support broker communications by preparing market updates and centralized data reports through internal communication channels.
• Ensure all market data, vessel positions, and cargo information are accurately maintained within internal systems.
• Assist brokers in distributing cargo and tonnage availability reports to targeted client groups.
• Follow up on vessel and cargo positions to ensure information remains current and actionable.
• Monitor market movements and provide relevant updates to support ongoing negotiations and commercial discussions.

Job Requirement:

• Good analytical skills with the ability to interpret market data and identify key trends.
• Excellent attention to detail and ability to manage routine, data-intensive tasks efficiently.
• Strong interpersonal and communication skills, with the ability to work effectively with internal stakeholders and clients.
• Customer-oriented mindset with a professional approach to communication.
• Proficiency in Microsoft Excel is required; knowledge of SQL or other data analysis tools is an advantage.
• Ability to work independently while managing multiple priorities in a fast-paced environment.
• Self-motivated, proactive, and eager to learn about the dry bulk shipping industry.
• No prior experience required, training will be provided

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Job Scope:

You will leverage AI/ML, statistics, data technologies and cloud computing platforms to develop integrated, innovative data-driven solutions which will support and advance core work and strategic goals against the backdrop of an evolving energy landscape. The key responsibilities of the officer include:

• Design, build, deploy, manage and maintain end-to-end data and AI/ML projects, as well as Big Data and Cloud platforms to meet the multi-faceted needs of a rapidly growing data-driven organization in the energy sector
• Perform project management and product owner activities for the development, testing and maintenance of enterprise data systems such as data lakes, analytics platforms and AI platforms according to the Agile methodology;
• Develop and implement scalable and reliable Extract, Transform and Load (ETL) processes for the ingestion and integration of large, structured and unstructured data from a variety of data sources. This includes systems that are on-premise and cloud platforms
• Working with business users, project teams, government agencies, international organizations and industry partners to explore new AI/ML and data technologies, tools and techniques in the energy sector; and identify new deployable solutions to support and advance the companty's core work and strategic goals.

Requirements:

• Education in Computer Science, Data Science, Statistics, Economics, or other related disciplines with substantial quantitative content
• Relevant working experience, especially in handling data analytics or AI/ML projects; as well as strong knowledge of data/cloud technologies.
• Demonstrable experience in leveraging data/ML techniques such as data mining, data engineering, machine learning, natural language processing, etc.
• Demonstrable experience in programming languages like SAS, R, Python, Java, or Scala for data science and/or data processing applications.
• Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
• Background in handling data analytics as well as strong knowledge of data/cloud technologies.
• Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
• Applicants must possess strong interpersonal skills to engage, collaborate, build and maintain relationships with stakeholders.
• Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape and public service.
• Knowledge/experience in working with Gen AI technologies such as LLM models would be an advantage.

Working Hours: Office Hours

Contract Period: 12 months

Salary: $4500-$7500/month (depending on job position, qualifications and experience)

Location: Pasir Panjang

EA License No: 96C4864
Reg. No.: R24121728 EUNICE WOO JING QI

Responsibilities

·      Tolead the quality improvements through working with all relevant department andsupplier on the Kaizen activities.

·      To understand customer manufacturing quality requirement & align with the business agreement so as to work effectively with all suppliers to achieve KPI target for the line rejection.

·      Perform analysis on internal defects and drive improvements from relevant departments to achieve quality KPI.

·      To support Quality System Lead in ISO implementation for the company

·      To collaborate with internal team and provide support to Quality System Lead in all certifications requirement for the products as stated by customer

Requirements

·       Degree/ Diploma in Engineering with at least 3 years of relevant working experience in Manufacturing

·       Ability to work with the customer, HQ /factory, Peers / Subordinate, and Superiors

·       Strong problem-solving and interpersonal skills

·       Ability to work with minimal supervision

·       Able to handle customer complaint and work well with internal & external department to resolve quality issue

·       Able to provide constructive solution /advice to the team

·       Good knowledge in ISO management and customer audit

To find out more about this opportunity, please contact Lionel Liew atlionel.liew@gmprecruit.com.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S)Pte Ltd   |   EA Licence: 11C3793 |   EA Personnel: Lionel Liew   |   Registration No: R1330693

Job Description

Ensuring Compliance with the PDPA

To ensure that the organisation meets specific PDPA requirements. This includes overseeing the processes and systems in place to secure personal data and assessing potential risks in data management.

Identifying and Escalating Potential Risks to Management

Responsible for identifying potential data protection risks within the organisation and escalating these risks to management. This ensures that leadership is aware of vulnerabilities and can take appropriate action to mitigate them.

Increasing Stakeholder Awareness

To educate employees on data privacy and PDPA requirements and organise training sessions that help staff understand the importance of data protection and the practices they must adopt to ensure compliance.

Raise awareness among external stakeholders, such as contractors and business partners, about the organisation’s data protection obligations and policies.

Handling Data Inquiries and Complaints

When it comes to data-related enquiries from individuals within and outside the organisation, a DPO serves as the very first point of contact. They address concerns, investigate complaints and work to resolve issues related to data handling practices.

Developing and Implementing Data Protection Policies

Establishes specific data protection policies and has them tailored to the unique data handling practices of the company. These policies guide employees in handling data responsibly to create a structured approach to data privacy.

Liaising with the Personal Data Protection Commission (PDPC)

Acting as the primary liaison with the Personal Data Protection Commission (PDPC),a DPO should actively facilitate communication regarding any data protection issues, audits, or incidents. This connection allows the organisation to remain informed on regulatory changes and enforcement actions.

Ad-hoc duties assigned by immediate superior.

Job Requirements

• Bachelor’s degree or Diploma holder in any discipline.
• Proficient in data protection and compliance. Able to educate, train and facilitate PDPA related work.
• Strong interpersonal and communication skills, verbal and written, to collaborate and engage with various levels of stakeholders.
• Keen and motivated to continuously learn and improve, proactive and thrive when facing challenges.
• Diligent in completing tasks and processes from start to end, adhere well to timelines independently and as a team.
• Resourceful, analytical and keen in problem-solving.
• Proficient in MS Office applications.

The Opportunity

• Adecco is partnering with a global technology company to look for a Business Operation Analyst who is focused on using data, analytics, and AI to improve operational performance, customer support effectiveness, and business decision-making at scale. The position requires a combination of technical expertise, strategic thinking, stakeholder management, and data storytelling to drive measurable business impact. 

The Talent

Required Skills & Experience

• 2–4 years of experience in analytics, operations support, or a technical environment.
• Strong understanding of operational metrics and KPI measurement.
• Advanced SQL skills and experience with tools such as Python/R, Tableau, Hive, and Presto.
• Strong data visualization, reporting, and dashboard development capabilities.
• Excellent communication and stakeholder management skills.
• Ability to convert complex analytical findings into business recommendations.

Preferred Qualifications

• Experience in customer operations, support operations, or service-oriented environments.
• Proven ability to work with large-scale datasets and big data technologies.
• Track record of driving measurable business outcomes through analytics.
• Experience leveraging AI tools to enhance analysis, productivity, and decision-making.

Job Description

• Develop and execute data-driven strategies to support business and operational objectives.
• Build analytical models and generate actionable insights from large and complex datasets.
• Design, maintain, and enhance dashboards, reporting systems, and performance metrics.
• Lead cross-functional analytics projects and provide strategic recommendations to stakeholders.
• Translate complex data into clear, actionable narratives for technical and non-technical audiences.
• Mentor team members and promote best practices in analytics and data science.
• Identify opportunities for process improvement, automation, and innovation.

Next Step:

• Send your updated cv at JiaYi.Lim@adecco.com
• Email Subject: Business Operation Analyst (Tech MNC)
• Only shortlisted candidates will be contacted

Lim Jia Yi

EA License No: 91C2918

Personnel Registration Number: R24119814