Total 130 Others/Any job vacancies

You will apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas. You will contribute to helping Developers, Designers and Product Managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.

This role is based on-site in our Petaling Jaya office.

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 

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

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!

The Reference Data Specialist 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

• Develop, implement, and maintain comprehensive HSE programs and policies tailored to high voltage substation construction activities.
• Ensure project is in compliance with relevant local and national health, safety, and environmental regulations, as well as the company standards and policies.
• To provide the best practice HSE solution on day-to-day monitor and report to maintain high HSE standards in the field.
• Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• to monitor and review the implementation of HSE standard at the high voltage substation construction site.
• Ensuring project meeting that we chair starts with a Health & Safety moment which we initiate through our dedicated Health, Safety, Wellbeing App
• Ensuring all employees, contractors, subcontractors and vendors on site have a requisite level of compliant safety training resulting in them having knowledge of high degree of hazard awareness.
• Adopting a collaborative approach to health and safety across the entire project team promoting safety accountability at all levels, including from the client and owner.
• Setting a zero-tolerance health and safety culture.
• Adopting health and safety assurance process emphasizes leading indicators, which are effective in the developing mitigations to risks on the project site
• Proactively undertaking site supervision of works activities to address safety concerns or identified risk activities.

Key Responsibilities

1. Customer Service Performance Monitoring (KPI)

• Track and analyze key Customer Service KPIs such as CSAT, response time, handling time, and resolution rate
• Develop and maintain dashboards and reports to provide clear performance visibility
• Identify performance gaps and recommend actionable improvements

2. Data Analysis & Insights

• Analyze data across Customer Service, Operations, and Payment teams to identify trends, issues, and opportunities
• Provide insights to improve service quality, operational efficiency, and customer satisfaction

• Support regular reporting (weekly/monthly) and business reviews

3. System Usage & Process Optimization

• Monitor the usage and effectiveness of CS tools (e.g., ticketing systems, CRM platforms, chatbot solutions)
• Ensure proper system adoption and highlight gaps in usage or workflow inefficiencies
• Recommend enhancements to processes and system workflows

4. AI & Automation Support

• Track and evaluate chatbot performance (e.g., resolution rate, fallback scenarios)
• Identify opportunities to reduce manual workload through automation•
• Collaborate with Tech teams to improve AI tools using data-driven insights

5. Cross-functional Collaboration

• Work closely with CX, Product, and Technology teams to support business initiatives
• Assist with ad hoc data analysis and reporting requests as required

Requirements

• Diploma or Degree in Data Analytics, Business, IT, or related fields
• 1–3 years of experience in data analysis, reporting, or similar roles (experience in Customer Service environment is an advantage)
• Strong proficiency in Excel or Google Sheets (e.g., formulas, pivot tables)
• Basic knowledge of SQL is preferred
• Experience with data visualization tools (e.g., Power BI, Tableau) is a plus
• Strong analytical thinking, problem-solving, and communication skills

• Prepare employment letters, register new hires for medical insurance, and update internal HR systems. Maintain accurate employee records and personal files (P-files).
• Support background checks and visa applications for new hires.
• Handle HR-related billing and reporting across Asia countries.
• Manage HR operations across Asia region (including probation tracking, contract renewals, job changes, terminations and more)
• Work closely with the business leaders as a strategic partner on HR matters.
• First point of contact for employees & managers to provide support for individual needs on HR processes.
• Prepare monthly payroll instruction file with supporting documents as per local legislations.
• Take initiatives to improve overall effectiveness of HR processes.

• Project documentation and project filing to all online sharing and offline platforms as per required
• Ensuring that the files in the onboarding pack and online sharing platforms are up to date
• Collation for certificate of insurance and submission to project compliance coordinator
• To prepare formal project progress and other reports includes but not limited to weekly progress report, master schedule, risk register and audit documentation tracker
• Supports in the preparation of the project execution plan
• Liaise closely with the local project managers to obtain the information that is required
• Ensure that the local project managers are aligned and accountable with the reporting information
• To attend meetings and draft minutes
• Support in the update of the program tracker and ensure that or data quality validation errors are resolved
• Support in ensuring the relevant scores for the project key performance indicators are being achieved
• Support the physical closure process of the projects
• Liaise with project compliance coordinator to ensure all compliance documents are provided for project closure

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 Processing Specialist of Input Validation function 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 

• Develop and manage the integrated project schedule using Primavera P6 or MS Project.
• Coordinate with multidisciplinary teams to ensure alignment of planning activities.
• Monitor project progress and update schedules regularly to reflect actual performance.
• Conduct critical path analysis and scenario planning to support project decisions.
• Generate accurate progress reports and dashboards for stakeholders.
• Identify schedule risks and propose mitigation strategies.
• Support project controls including resource loading, earned value analysis, and forecasting.
• Participate in project meetings and provide planning insights to the team.

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.

Act as point of contact from Operations to internal Client Ops and Customer Success Leaders commercial leaders (including the Country MD / external clients where applicable) to lead and drive the operational delivery of our client offering. Leads a team of country functional managers. 

Client Solutioning 

• Advocate" of Operations, to provide solutions that meet the client's needs and which are at the same time cost-effective and technically sustainable.
• Responsible for making decisions on behalf of operations for the country. 
• Has breadth of Operations E2E knowledge regarding the production processes and client knowledge to be able to handle discussions with client Ops in regard to possibilities and limitations of Nielsen solutions 
• Accountable for the agreed service level (quality, allocation of data) to be satisfied / surpassed, and the commitment to the client to be satisfied/ exceeded. 
• Drives Operation Processes with Quality and On time Delivery as per Global KPIs 
• Drives Standardization and Harmonization of processes across the region as per Global SOPs  
• Delivers on Global Productivity targets including RUN and other Global initiatives 

Team Management 

• Plans and controls resource allocation to optimize the “operations service” to clients 
• Manages initiatives to deliver efficiency and productivity to the company 
• Expected to coach and develop the team, monitor individual performances and identify talents or low performers 
• Acts as an escalation point for the country team and constantly reviews and assesses team's KPIs periodically 
• Meets clients to conduct client health check on operations 

• Lead and manage CSA construction activities
• Coordinate with design, engineering, procurement, and other construction disciplines to ensure seamless project execution.
• Review and validate CSA design documents, drawings, and specifications.
• Oversee site preparation, foundation, structural steel, concrete, architectural finishes, and cleanroom construction.
• Ensure compliance with local building codes, safety regulations, and environmental standards.
• Manage subcontractors and vendors, including scheduling, performance monitoring, and issue resolution.
• Conduct regular site inspections and quality audits.
• Track progress, manage change orders, and report on project status to stakeholders.
• Collaborate with internal teams and external consultants to resolve technical and construction challenges.
• Drive continuous improvement in construction methods, safety practices, and cost efficiency.

About the job   

• Acts as point-of contact for Input Operations processes  
• Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables  
• Act as the SPOC for all the queries/data investigations and managing the internal stakeholders on the assigned queries 

Responsibilities  

• 1st function IV - Input Validation level, Production flow, what kind of validation, overall flow of the production, how functions coordinate each other  
• Database management system - understanding; can see a broader picture of the function  
• Get data from different sources, data handling, data evaluation, data analytics  
• Data Production process, reports  
• what kind of output that needs to be impacted from the input approach  
• 60%/ 70% system knowledge; 40%/ 30% analytics  
• Focus on IV - should see a broader level, what can foresee/ view on data  
• In-house system/ execution system  
• Project implementation, research - getting input from RMS or different sources, data validation  

• Lead and manage end‑to‑end electrical works for data center projects, from construction through commissioning and handover
• Oversee MV/LV power distribution, including UPS systems, Generators, Switchgear, busducts, PDUs, Earthing and lightning protection systems
• Review and approve electrical drawings, single line diagrams (SLDs), method statements, shop drawings, and technical submissions, FAT, SAT, IST, testing and commissioning documentation
• Coordinate with other teams, electrical subcontractors and vendors and local authorities and TNB

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.

• 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.

• 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

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Perform data mining and analytics for Quality Assurance (QA) in semiconductor Assembly & Testing processes
• Understand QA business workflows (e.g., SPC, 8D, defect management) and translate business needs into scalable data solutions
• Design and develop end-to-end data pipelines, including data ingestion, transformation, modeling, and visualization
• Develop analytical methods such as anomaly detection, trend analysis, and predictive modeling to enhance quality control
• Drive the transformation of quality management from manual processes to automated and intelligent systems
• Develop dashboards, reports, and automated QA-related business applications
• Collaborate with IT, data teams, and business stakeholders to integrate data platforms with operational systems
• Explore and implement AI/GenAI use cases in quality engineering, such as intelligent insights and automated reporting

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.

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

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.

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 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.