Total 54 Full-time data entry job vacancies in Malaysia

About the Role

Drive AI-driven automation and intelligent reporting across Finance and Operations to streamline and automate reporting processes.

This role focuses on reducing manual work, improving reporting speed, and enhancing data accuracy, enabling the business to make faster and better decisions.

This role requires a high level of integrity, as it involves handling sensitive financial data and supporting business-critical decision-making processes.

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

• Automate weekly and monthly finance reports
• Eliminate manual Excel consolidation and repetitive tasks
• Develop standardized and scalable reporting templates

2) Data Management & Pipeline Development

• Extract and transform data from ERP and internal systems
• Ensure data accuracy, consistency, and integrity
• Build and maintain structured datasets for reporting and analytics

3) Dashboard & Visualization

• Develop interactive dashboards (e.g. Power BI / Tableau)
• Enable management to access near real-time insights
• Improve visibility of key KPIs (sales, cost, margin, etc.)

4) AI & Advanced Analytics (Progressive Implementation)

• Develop and deploy AI/ML models for:
• Forecasting (sales, cash flow, demand)
• Anomaly detection (cost, production, quality)
• Apply practical AI solutions to enhance automation and decision-making

5) Process Improvement

• Identify inefficiencies in current workflows
• Design automated solutions to improve productivity
• Reduce dependency on manual intervention and key personnel
• Ensure proper data governance, accuracy, and confidentiality in all reporting and automation processes.

6) Collaboration

• Work closely with Finance, Operations, and Production teams
• Translate business requirements into practical technical solutions

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

• Minimum Diploma or Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence or related field
• Proficiency in Python & SQL programming and foundational knowledge of AI and machine learning frameworks
• Understanding of AI modelling techniques, such as supervised and unsupervised learning, and familiarity with software development practices
• Strong problem-solving abilities with an aptitude for analysing datasets and troubleshooting technical issues
• Hands-on experience in model deployment & end-to-end pipeline
• Experience in at least ONE of forecasting/ time series/ computer vision for manufacturing industry or NLP/ automation.
• At Least 5 years’ experience in data engineering.
• Strong analytical mindset and ability to collaborate effectively in a team environment, with clear communication
• High level of integrity, with strong sense of responsibility in handling sensitive financial and operational data, ensuring accuracy, confidentiality, and ethical use of information.

Perks & Benefits

• Allowance (phone, transportation, etc.)
• Regular team activities
• Personal leave
• Medical coverage
• Personal leave
• Personal development opportunities
• Paid training and development
• Work Laptop and Mobile phone provided
• Insurance for Hospital and Surgical
• Insurance for Personal Accident
• Keyman Insurance
• Annual Increment
• Annual Bonus
• Productivity Incentives

Job description:

The Data Entry Executive (Audit) is responsible for supporting the audit and finance functions by ensuring accurate and timely recording of financial data. This role involves handling invoices, verifying transactions, and maintaining proper documentation to support financial integrity and compliance.

Key Responsibilities

• Collect invoices and supporting documents from respective outlet managers in a timely manner
• Record daily sales and cash expenditures accurately in the system
• Verify individual cash expenditure transactions with relevant departments before data entry
• Ensure all financial data is properly documented and filed for audit purposes
• Identify and report discrepancies or errors to the supervisor and relevant stakeholders
• Assist in maintaining accurate financial records to support audit processes
• Perform additional duties as assigned by the supervisor

Requirements

• Bachelor’s degree in Accounting, Finance, or a related field
• 1–2 years of relevant working experience (fresh graduates may be considered if strong)
• Proficient in Microsoft Office, especially Excel and Word
• Strong attention to detail and high level of accuracy
• Good communication and interpersonal skills
• Ability to work under pressure and meet tight deadlines
• Basic knowledge of accounting principles and practices

Perks & Benefits

• Employee equity
• Nearby public transport
• Medical insurance

Job Summary

Enterprise data management world for creating and maintaining an optimal data pipeline architecture, typical duties and responsibilities for a Data Engineer position includes:

Job Responsibility

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Perks & Benefits

• Employee equity
• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Personal leave
• Open culture
• Personal development opportunities
• Paid training and development

We're looking for a skilled Data Engineer with a strong product builder mindset to join our Product Development Team. In this role, you'll be instrumental in building and maintaining the data infrastructure that powers our data products. You'll work closely with product owners, engineers, developers, and data scientists to ensure the quality, consistency, and scalability of our solutions.

This is a hands-on role where you'll help shape the future of our data products—translating business needs into robust, scalable data solutions that empower our clients to make smarter decisions.

What you'll do

• Design and build robust, scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Implement and maintain optimal cloud-based architectures to support our data products.
• Own the full lifecycle of data processes—from ideation to deployment and maintenance.

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

• Develop and maintain interactive dashboards and reports using Power BI and/or Tableau
• Convert existing reports into structured data marts for improved scalability and performance
• Assist in migrating current reports and dashboards to a new reporting server/environment
• Perform data validation and ensure accuracy and consistency across reports
• Prepare and maintain comprehensive documentation for reports, data sources, and processes
• Collaborate with stakeholders to understand reporting requirements and suggest improvements

• Assist in the delivery of project management services throughout the project lifecycle.
• Conduct background research, data collection, and benchmarking to support decision-making.
• Establish and maintain effective project documentation and reporting systems.
• Support the development and updating of detailed project plans and schedules.
• Track project progress and performance indicators; prepare updates and reports.
• Manage change control processes and maintain accurate change logs.
• Draft formal progress reports and presentations for stakeholders.
• Stakeholder Engagement
• Liaise with clients, contractors, consultants, and other stakeholders.
• Attend project meetings and produce accurate and timely meeting minutes.
• Support communication flow between internal and external teams.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

Team Leadership & Development

• Support the development of junior team members by providing day-to-day guidance, sharing technical knowledge, and encouraging collaboration.
• Contribute to a positive team culture by promoting open communication, mutual respect, and shared accountability.
• Demonstrate professionalism, reliability, and a proactive attitude in team interactions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Client & Stakeholder Engagement

• Coordinate with clients, consultants, contractors, and suppliers to ensure smooth project execution and alignment with objectives.
• Facilitate regular stakeholder meetings and reporting to maintain transparency and progress visibility.
• Build productive working relationships with internal and external stakeholders through consistent follow-up and responsiveness.
• Support conflict resolution and issue management by escalating appropriately and offering practical solutions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Project Planning & Execution

• Lead overall project management to ensure quality, cost, statutory compliance, safety, environmental standards, and scheduling requirements are met.
• Manage the implementation of the master programme, including materials and long lead items, ensuring alignment with project milestones and delivery timelines.
• Update and maintain the master programme and ensure short-term programmes—such as weekly work plans, look-ahead schedules, and inspection timelines—are reviewed and communicated effectively to all relevant stakeholders.
• Plan and organize statutory inspections and ensure timely approvals.

Site Coordination

• Monitor progress and quality through regular updates and collaboration with site teams or contractors.
• Ensure safety standards and compliance are implemented across all project activities.
• Support effective project administration, including documentation, reporting, and issue resolution.

Stakeholder Management

• Oversee and manage external consultants and multidisciplinary teams to ensure their deliverables align with the project’s strategic objectives, timelines, and budgetary constraints.
• Act as the key liaison between internal stakeholders and external consultants to maintain clear communication and ensure consistent progress toward project milestones.
• Facilitate and lead regular project progress meetings with consultants and stakeholders, ensuring alignment with project objectives.
• Foster a collaborative team environment and promote knowledge sharing across the project team.

Project Reporting

• Produce comprehensive project reports that capture key updates, risks, decisions, and action items to maintain transparency and informed decision-making.
• Prepare and manage project schedules using appropriate tools such as Microsoft Project, Primavera P6, or Excel, including baseline setting, critical path analysis, and progress tracking.

Procurement Management

• Manage the full procurement process for consultants, including drafting scopes, evaluating bids, and negotiating contracts.
• Ensure all procurement activities comply with internal policies and governance & compliance frameworks.
• Support timely engagement and onboarding of consultants aligned with project needs.
• Work closely with internal teams and consultants to ensure procurement outcomes support project goals.

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

Role Overview

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large, datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

Get to Know the Team

The Data Platform team at Grab is a collective of software engineers, product managers, product designers, software engineers, and technical program managers, part of the larger Tech Infrastructure organization and focused on enhancing the productivity, development velocity, and efficiency for fellow internal Grabbers, serving millions of users daily. These platforms encompass Experimentation, Data Discovery and Catalog layers, Metrics Engine, Customer Data Platform, Streaming Platforms, and Machine Learning Platform. Our mission is to build and maintain a suite of tools and platforms that enable Grabbers to work smarter, faster, and more collaboratively.

Get to Know the Role

We're looking for a Lead Product Manager to join our Technical Infrastructure team, specifically focusing on Data Platform. In this role, you'll collaborate with engineering, data science, analytics, and product teams to pinpoint areas for improvement and develop impactful solutions. The Data Platform team empowers the underlying platform and infrastructure that supports all data applications in Grab, including data ingestion, data storage, data discovery, data query, data quality, and data activation. You'll work with cross-functional leaders across the company to drive organization-wide changes.

You will report to the Head of Product, Data Tech and AI, and base onsite at our Petaling Jaya office.

The Critical Tasks You Will Perform

• Define and execute the product strategy for the Data Platform.
• Collaborate with cross-functional teams to identify opportunities for improvement and develop tailored solutions.
• Gather requirements, conduct user research, and prioritise the product backlog ensuring the team focuses on high-impact projects.
• Establish strong relationships with internal stakeholders and deeply understand their needs and challenges.
• Drive the adoption and onboarding of internal tools and Data Platform, ensuring user engagement and success.
• Oversee product launches and go-to-market activities for internal tools and data platforms.
• Communicate with both technical and non-technical stakeholders, ensuring the team's work is well-understood and well-supported.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

The Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization.

This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs.
• Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms.
• Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making.
• Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
• Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
• Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
• Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor.

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Role Summary

A leading project management and construction delivery organisation is seeking an experienced Contract Administrator to support its project teams. This role is ideal for a senior professional who excels in contract interpretation, claims management, documentation, and stakeholder coordination—ensuring projects run smoothly and fully comply with contractual obligations.

Key Responsibilities

Contract Administration & Daily Project Support

• Manage the day‑to‑day contractual administration of assigned projects, ensuring all contractual and claim‑related events are monitored, documented, and escalated when necessary.
• Provide early identification of potential risks and opportunities, recommending proactive measures to the project team.
• Interpret contract terms and work closely with project managers, site teams, and legal representatives when contractual issues arise.

Correspondence & Documentation

• Review, log, track, and manage all incoming and outgoing project correspondence.
• Draft contractual letters, coordinate reviews with project management and senior stakeholders, and ensure timely issuance.
• Support the setup and oversight of document control systems.
• Maintain comprehensive records including correspondence, meeting minutes, photos, and other relevant documents.

Meetings & Stakeholder Engagement

• Participate in internal project status meetings, providing updates on claims, risks, and contractual matters.
• Attend and support client, consortium, supplier, and technical meetings when required.
• Review minutes of meetings to ensure accuracy and proper documentation.
• Assist in organising workshops to enhance claim and change management awareness among project team members.

Reporting

• Support project reporting requirements by contributing contractual insights and documentation.
• Prepare monthly reports for senior management detailing Notices of Claim, active claims, change orders, key correspondence, and significant upcoming events.

Claims Management

• Manage both incoming and outgoing claims throughout the project lifecycle.
• For incoming claims: verify entitlement, collect supporting records, assess risks, and develop defensive strategies with the project team.
• For outgoing claims: prepare claim notifications, compile substantiation, draft formal claim submissions, and support negotiation processes.
• Ensure all claims are handled in accordance with contractual deadlines and requirements.

Dispute Resolution

• Assist senior management and legal teams with dispute resolution processes, including document preparation and detailed investigation of contractual issues.

Project Acceptance & Closeout

• Support the process of obtaining acceptance certificates and verifying that contractual deliverables have been fulfilled.
• Ensure all contract administration records are properly archived after project completion.

Job description

The data analyst will play a key role in defining, creating, and delivering powerful interactions data for a substantial part of our business and will partner closely with multiple business partners to provide data and insights to drive operational improvements. This is a critical role that will enable and support our global data and business intelligence strategy. The data analyst will be able to embrace and drive change and to lead global cross-functional data-related projects as well as being data savvy, technically minded and capable of quickly gaining a deep knowledge and understanding of Experian’s wide-ranging systems landscape as well as continually evolving complex data hierarchies, reporting structures and business intelligence requirements and priorities.

ABOUT US:

PolicyStreet Group is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.

The Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.

PolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.

WHAT YOU’LL DO:

• Handle insurance policy issuance, including generating accurate quotations and preparing cover notes within set timelines.
• Work closely with customers to gather required documents and ensure a seamless policy issuance process.
• Carefully review documents and cover notes for accuracy and completeness, enabling timely policy activation.
• Coordinate with insurance providers to follow up on pending approvals and ensure smooth processing.
• Manage customer accounts, addressing inquiries and maintaining satisfaction with our products and services.
• Contribute to team efforts by meeting sales and renewal targets.

WHAT WE EXPECT OF YOU:

• Minimum diploma in business, communications, or a related field.
• At least 2 years of experience in a customer service role, preferably handling email and WhatsApp communications.
• Proven hands-on experience in insurance issuance is a must.
• Experience in the insurance industry is a strong advantage.
• Strong attention to detail and excellent organizational skills.
• A customer-focused mindset with strong communication and problem-solving abilities.
• Self-reliance and adaptability to handle responsibilities independently.
• Leadership potential and a desire to grow into a people management role.

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.   

• Support Internal and External Clients with the understanding of Data Science design and methodology.  

• Accompany senior leaders meet with clients to understand business needs and help offer innovative solutions.  

• Work on creating innovative solutions, use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.  

• Understand Nielsen products and services to suggest innovative solutions for client challenges.  

• Collaborate with other Data Science team units.  

•  Automate and develop solutions for existing processes.  

•  Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. 

About you  

You have dabbled in data. You have perused Python. And you have the communication chops to translate it all into conversation or presentations. While you have worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what is happening in big data and you are ready to influence what is next.  

Jacobs Douwe Egberts Research and Development (R&D) is part of the Global JDE organization. R&D is the major contributor to the development of innovative coffee, tea, cereal and NDC products and is constantly optimizing the product portfolio. Focus of R&D is on building technology platforms, new products, portfolio renovations and productivity initiatives. Projects are carried out together with Marketing, Operations and Procurement delivering Product and Packaging Specifications which are the single most critical output of R&D.

The PLM Specialist reports into the PLM Team Lead. They are responsible for maintenance of an effective and efficient specification system for product lifecycle management. They support the R&D team in their work developing new specifications. They are a data custodian and thanks to their actions the PLM system is trustworthy and data contained therein is a strategic R&D asset. This individual is responsible for part of the total portfolio and is expected to become the subject-matter expert for their area of the PLM system.

• Typical project portfolio: Multiple activities across all aspects of the Product / Pack portfolio
• Financial risk: Moderate – Role responsible for maintenance not creation of new specification data. Technical rigour is however critical to ensure data integrity and security.
• Geographical Scope: varies

The PLM Specialist is part of the team responsible for the maintenance of the PLM system within APAC and will support the implementation of the new PLM Software. You will be responsible for assuring quality and trust in the data and be the first point of contact for data-related questions in your field. You will work closely with R&D developers and PLM users to maintain PLM data flow throughout the specification lifecycle, enrich data, provide feedback to users and drivesystem improvement. You are the PLM data custodian, and thanks to your action, the PLM system is trustworthy and data used as a strategic R&D asset.

This requires technical rigor, attention to detail and a relentless drive for completion with excellence. This role plays a critical role in the maintenance, protection and utilisation of a critical R&D asset (our recipe know-how and IP). This role is responsible for ensuring compliance with company policies and procedures related to specifications, leveraging best in class practices throughout all R&D activities and helping to support speed to market.

• Support the implementation of the new PLM Software, user acceptance test and user support

• Ensure successful migration of the data into the new PLM software: migration, validation, completeness

• Collaborate with specification creators within your area of responsibility, to guarantee the completeness and accuracy of product data until product retirement

• Ensure the maintenance of the product data (new data entry, parameter updates, new requirements)

• Monitor data quality periodically, raise gaps and coordinate issue resolution

• With guidance from manager, drive PLM system continuous improvement (design, workflow, data quality)

• Support PLM users about data extraction and reporting

• Act as data custodian and make PLM the system loved by the users and fun

• Communicate and support best practice PLM completion with APAC applications teams for all categorie

• Reports to Manager on a weekly basis highlighting risks/issues and resolution plans

• Other tasks/duties as assigned by the Manager

The Reference Data Specialist (RD PH) is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; conduct physical store check to validate item-related information
• Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

This role covers the activities post inputs are received from the source - retailers/vendors. Primary focus is to be the bridge between the Supplier Engagement team and other Ops pillars. System changes surveys, BAU query resolution, MSD tickets tracking and closure, KPIs reporting, productivity initiatives, RCAs are the key areas of work for this team. Apart from this, the team is also responsible to analyze, classify and management of the data. This role is accountable for handling data queries arising from BAU quality checks (RAP & DQI scoring).

Job Responsibilities

Retailer Onboarding and Engagement:

• Collaborate with the Supplier Engagement Lead on retailer onboarding.
• Ensure compliance for received data by working closely with retailers and NielsenIQ teams.
• Track retailer or vendor data quality and conduct regular reviews with internal stakeholders and retailers.
• Drive specific quality improvement goals for retailers, including change management related to data receipt.
• Handle large data sets with exposure to multiple formats and TLog data.
• Understanding of SAP, transactional data handling, FTP, and MFT setup and maintenance.
•  Ability to extract, transform, load, and clean large data sets from multiple sources.
• Familiarity with managing, querying, and aggregating large data sets.

System Change and Data Corrections:

• Plan and follow up on operational activities.
• Address data corrections due to MSD or other data errors through retailer discussions and planning with Ops.
• Track and resolve MSD tickets.
• Collaborate with INS team on results of eDive for System change.

Stakeholder Management & BAU Collaboration and Communication:

• Act as the internal SPOC for Ops and regional leadership teams.
• Provide updates on KPIs, market progress on retailer onboarding, BAU KPIs, and productivity initiatives. (internal SPOC for Ops)
• Communicate with internal and external stakeholders to resolve data issues.
• Provide timely updates and visibility to stakeholders.
• Contact data providers via email if data has not been received as per SLAs.
• Communicate with data providers on any discrepancies found in initial data checks, FoVa reports, shop usability, or other factory processes.
• Handle new store information and confirmation on store closures.
• Address new stores and closed store queries.
• Coordinate with Input Ops and Output for processing reissued data.
• Send relevant IO communications (internal) regarding new/closed stores, missing retailer data, estimation of retailer data, reissue of retailer data, store name changes, store mapping corrections, retailer expansion, and retailer data changes during BAU.

Quality Assurance:

• Conduct quality checks, including eDive primary testing of data, and RAP scoring, eDive.
• Address data queries arising from quality checks.

Opportunity Identification:

• Identify new operational efficient opportunities within existing retailers.
• Ops teams (NOC), and DA Analysts to realize these opportunities, consulting closely with the commercial or RV team as applicable.

This role is based in our Menara Skymind office.

Position Overview

We are seeking a detail-oriented Data Governance Analyst to join Omdia's Data Architecture & Engineering team, supporting the implementation and maintenance of data governance standards across our market research and industry analysis data. This role offers an excellent opportunity to contribute to Omdia's data centralization initiative while developing expertise in enterprise data governance.

Key Responsibilities

Data Governance Implementation

• Support the implementation of data governance frameworks and best practices across Omdia's market data sources
• Assist in developing and maintaining data taxonomy standards, ensuring consistency across research content workflows
• Contribute to data quality monitoring processes, identifying issues and supporting remediation efforts
• Help establish and document data lineage tracking for critical market research datasets

Data Quality & Standards

• Perform regular data quality assessments across market and industry data sources
• Document data governance procedures, standards, and best practices for team and stakeholder reference
• Support metadata management initiatives, ensuring accurate and comprehensive data documentation
• Assist in the development of data stewardship protocols and compliance monitoring

Analysis & Reporting

• Analyze data governance metrics and prepare regular reports on data quality, compliance, and governance maturity
• Support stakeholder requests for data lineage, quality assessments, and governance documentation
• Contribute to the evaluation of new data sources and their integration into existing governance frameworks
• Assist in vendor data assessment and compliance verification processes

Collaboration & Support

• Work closely with Data Governance Manager and Data Management Analyst to deliver team objectives
• Collaborate with research teams to understand data requirements and governance needs
• Support training initiatives to promote data governance awareness across the organization
• Participate in cross-functional projects related to data platform development and content workflow optimization

As a Senior Data Analyst you will leverage your expertise to directly impact the performance and reporting for our 10 markets in the APAC region. You will act as a high-level advisor to the local markets, leveraging deep-dive analytics and AI-tools to steer country performance. This isn't about building reports, it’s about translating complex data into strategic roadmaps. You will bridge the gap between technical data analytics and executive decision-making, ensuring our global footprint is optimized for growth and efficiency.

This high-impact role requires a self-starter who is capable of effectively balancing trade-offs between speedy delivery and long-term investments in strategic data assets in order to enhance growth, efficiency, and competitive advantage across multiple markets.
 

Responsibilities:

• Strategic Market Advisory: Act as the primary consultant for 10 international markets, conducting deep-dive analyses into country performance to identify growth levers and operational gaps.
• Advanced Data Modeling & Analysis: Lead the development of complex SQL models to transform large datasets into scalable reports and actionable insights, using tools like BigQuery and dbt. Leveraging critical thinking in questioning existing solutions, and high ownership in developing new ones. Championing high standards in communication and deliverables.
• Next-Gen Data Solutions: Move beyond traditional BI by integrating LLMs and agentic workflows into our reporting suite, transforming static data into interactive, conversational business intelligence.
• Functional Knowledge and Business Acumen: Quickly develop an excellent understanding of the business and its key processes, strategic levers and KPIs
• Stakeholder Collaboration & Data Advocacy: Partner with senior business leaders to co-define key metrics, identify process optimization opportunities, and translate analytical findings into actionable insights. Being a strong advocate for building strategic analytical partnerships, as opposed to just providing data.
• Transparency & Backlog Management: Maintain clear visibility into the team’s project backlog, providing regular updates and insights to stakeholders. Actively seek and incorporate feedback to continuously improve analytics processes and outputs.
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• Data & Reporting Consistency: Balance speed and adherence to SLAs with a commitment to data consistency, avoiding redundant work and ensuring alignment with the organization’s ethos of a single source of truth and standardized processes for financial and other reporting.
• Rigorous Standards in Data Quality: Establish, provide ongoing evaluations, and make strategic recommendations on future enhancements in data accuracy, validity, and velocity, both of analytics outputs created internally, and of our portfolio of category position solutions provided by external partners.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!