Total 38 information analyst job vacancies in Information Technology category in Malaysia

JOB DESCRIPTION :

1. Perform various types of testing including functional testing, API testing, and/or usability testing for assigned projects or products. 
2. Support and participate in performance testing and test automation testing activities. 
3. Perform testing activities, including test case design, test procedure preparation, test data creation, and test execution. 
4. Identify and document defects discovered during testing through Test Incident Reports 
5. Track and follow up on reported defects to ensure timely resolution, closure, or proper mitigation. 
6. Provide regular status updates and reports to the manager on testing progress, issues, risks, and overall quality status of assigned projects or products. 
7. Prepare and maintain testing deliverables in accordance with established standards, best practices, and audit or compliance requirements. 
8. Collaborate with developers, business analysts, and other stakeholders to clarify requirements, reproduce issues, and improve overall product quality. 
9. Perform other duties and responsibilities as assigned by the company from time to time. 

JOB REQUIREMENT :

1. Candidate must possess at least a Bachelor’s Degree in Computer Science or Information Technology, or a related field, and/or relevant professional certifications. 
2. Minimum 2 years of working experience in software testing/ quality assurance or related field. 
3. Good understanding of the software testing lifecycle and structured testing processes. 
4. Strong analytical and problem-solving skills, with good presentation skills and a high level of written and verbal communication in both English and Bahasa Malaysia. 
5. Basic understanding of programming languages, networking, or system infrastructure will be an added advantage. 

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

JOB DESCRIPTION :

1. Perform various types of testing including functional testing, API testing, and/or usability testing for assigned projects or products. 
2. Support and participate in performance testing and test automation testing activities. 
3. Perform testing activities, including test case design, test procedure preparation, test data creation, and test execution. 
4. Identify and document defects discovered during testing through Test Incident Reports 
5. Track and follow up on reported defects to ensure timely resolution, closure, or proper mitigation. 
6. Provide regular status updates and reports to the manager on testing progress, issues, risks, and overall quality status of assigned projects or products. 
7. Prepare and maintain testing deliverables in accordance with established standards, best practices, and audit or compliance requirements. 
8. Collaborate with developers, business analysts, and other stakeholders to clarify requirements, reproduce issues, and improve overall product quality. 
9. Perform other duties and responsibilities as assigned by the company from time to time. 

JOB REQUIREMENT :

1. Candidate must possess at least a Bachelor’s Degree in Computer Science or Information Technology, or a related field, and/or relevant professional certifications. 
2. Minimum 2 years of working experience in software testing/ quality assurance or related field. 
3. Good understanding of the software testing lifecycle and structured testing processes. 
4. Strong analytical and problem-solving skills, with good presentation skills and a high level of written and verbal communication in both English and Bahasa Malaysia. 
5. Basic understanding of programming languages, networking, or system infrastructure will be an added advantage. 

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

職位說明 ：

1. 對指派的項目或產品執行各種類型的測試，包括功能測試、API 測試和/或可用性測試。
2. 支援並參與性能測試和自動化測試活動。
3. 執行測試活動，包括測試案例設計、測試程式準備、測試資料建立和測試執行。
4. 透過測試事件報告識別並記錄測試過程中發現的缺陷
5. 追蹤並跟進已報告的缺陷，以確保及時解決、關閉或採取適當的緩解措施。
6. 定期向經理報告所分配專案或產品的測試進度、問題、風險和整體品質狀況。
7. 根據既定標準、最佳實踐以及審計或合規要求，準備和維護測試交付物。
8. 與開發人員、業務分析師和其他利害關係人合作，以明確需求、重現問題並提高整體產品品質。
9. 依公司安排，履行其他職責。

職位要求：

1. 候選人必須至少擁有電腦科學或資訊科技或相關領域的學士學位，和/或相關的專業認證。
2. 至少2年軟體測試/品質保證或相關領域的工作經驗。
3. 對軟體測試生命週期和結構化測試流程有深入的了解。
4. 具備較強的分析和解決問題的能力，良好的表達能力，以及較高的英語和馬來語書面和口頭溝通能力。
5. 對程式語言、網路或系統基礎設施有基本了解者優先考慮。

福利待遇

• 個人休假
• 開放文化
• 個人發展機會

Key Accountabilities:

• Oversee and manage a team of SME (Executive, Specialist and Tester) to ensure projects deliverables within the team is achieved.
• Ensure effectiveness and efficiency of every member in the team and high quality performance from team members.
• Manages overall resource plan for the team, develop and manage to deliver department business results.
• Provides technical guidance to team members and build better career prospect and advancement for subordinates by giving exposure in areas other than the designated roles & responsibilities. 
• Delivery of business requirement on agreed business requirement and ensure users at the respective areas agree on the guideline.
• Ensure personal development for self / staffs improvement and build positive working relationships within the team.
• Performs miscellaneous job-related duties and projects as assigned by superior.
• Leads and manage a group of business analyst in User Acceptance Testing (UAT) and Operation readiness test (ORT) planning and execution.
• Deliverables are achieved within the timeline set.
• Having right people at the right places and maximized resource effectiveness and efficiency.
• All tasks are completed within agreed upon time frame, resources well allocated for each project.
• Staff are multi-task, empowered to play different roles and responsibilities and able to make prudent decisions.
• Project milestones and objectives achieved within project timeline.
• Attend training courses and organizes team events
• Assignments / tasks are completed on time with quality delivery.
• UAT and Operation Readiness Test (ORT) are completed and test results signed off based on business requirements. Ensure system has been successfully deployed in production environment.

Qualification and Experience:

• 7-8 years experience in Life Insurance Industry with basic operational knowledge in operations.
• Knowledge of Takaful model, products and familiarity with Day 2 modules with experienced in handling projects will be an added advantage.
• Experience in comparative analysis, managing/lead business analyst and operations with a successful track record of working dynamic project teams, establishing priorities and meeting department expectation.
• Able to Interprets customer needs, assesses requirements and identifies solutions to non-standard request independently.
• Competent in Microsoft Office application (Excel, VBA, Word, Power Point) and any other programming language
• Good communication skill
• Good command in English & Bahasa Malaysia
• Good analytical and problem solving skills
• Able to work under pressure and deliver within tight deadlines.
• Driven by high desire to acquire knowledge and to deliver results

Perks & Benefits

• Nearby public transport
• Central location
• Open culture

We are seeking an experienced and technically strong Application Lead to join our Manufacturing IT Application team. The successful candidate will serve as a key technical contributor and team anchor — independently leading complex application development, providing technical mentorship, and driving digital transformation initiatives aligned with our manufacturing automation and digitalization goals.

This role demands a self-directed professional who can operate with minimal supervision, manage multiple priorities across cross-functional stakeholders, and contribute to system architecture decisions.

Key Responsibilities

Application Development & System Ownership

• Lead the design, development, and maintenance of manufacturing-used applications using .NET Core and related frameworks, ensuring high availability, performance, and scalability.
• Serve as the primary technical owner of critical manufacturing IT systems deployed across multiple production sites (e.g., online tracking, WIP systems, testing & quality data platforms).
• Architect and implement application solutions that support manufacturing process monitoring, automation, and data traceability.
• Own full software development lifecycle (SDLC) from requirements analysis, solution design, development, testing, deployment, and post-production support.
• Identify, troubleshoot, and resolve complex software, ensuring optimal system performance and user experience.

Data & Integration

• Design and maintain robust database structures (SQL Server, Oracle DB, MySQL) and data pipelines to support manufacturing analytics and operational reporting.
• Lead data integration and linkage efforts between manufacturing systems (e.g., MES, testing & quality systems) to enable end-to-end product genealogy tracking and operational visibility.
• Support data onboarding, cleansing, and structured analysis for manufacturing process monitoring tools (e.g., Spotfire, Power BI, or equivalent).

Digital Transformation & Innovation

• Act as a technical point person for MFG IT application and integration project requests — evaluating feasibility, defining technical approaches, and coordinating delivery priorities.
• Drive digitalization initiatives including manufacturing line automation, IoT integrations, AI/ML proof-of-concept implementations (e.g., computer vision for defect analysis, smartwatch-based applications), and digital worker agent platforms.
• Evaluate and introduce emerging technologies relevant to smart manufacturing and Industry 4.0 objectives.

Technical Leadership & Mentorship

• Provide technical guidance, coaching to junior developers and peers within the MFG IT App team.
• Lead architectural discussions and propose technical standards, design patterns, and best practices for the team.
• Support knowledge transfer, documentation, and continuity planning to safeguard organizational knowledge.

Stakeholder Collaboration & Project Coordination

• Collaborate closely with business users, process engineers, IT network/server teams, and analytical teams to translate manufacturing requirements into effective IT solutions.
• Coordinate task delivery across multi-site teams, managing timelines and escalating risks proactively.
• Participate actively in Agile stand-up meeting — sprint planning, daily stand-ups, retrospectives — and contribute to continuous improvement of delivery practices.
• Review and maintain technical documentation, solution design documents, and user manuals.

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

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.

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

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; 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

The Data Processing Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories. To create and deliver client outputs 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 and colleagues.
• This role is to support Korea Market.

Responsible for B2B integration system and implementing EDI onboard (Electronic Data Interchange). Ensuring smooth and success onboard adoption and continuous engagement with trading partners. This role works closely with internal and external stakeholders to coordinate onboarding activities. Understanding of EDI concept and working knowledge with RossetaNet and other exchange method standards to enable seamless data exchange between the organization and trading partners.

Key Responsibilities:

• Support and communicate with IT, Business and External Partners.
• Coordinate end-to-end onboarding process for new B2B trading partners.
• Prepare and validate onboarding documentation and required system setup.
• Work together with business to conduct onboarding sessions, communication for technical and business B2B specification. Including partner testing.
• Strong problem-solving and decision-making skills to interpret and or analyse especially during interface testing.
• Robust analytical skills to review and interpret business documents (FDS and FUT).
• Handle SAP IDOC mapping, Partner profile and output condition conversion configuration and interfaces testing.

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

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!

Get to Know the Team

The Integrity team is dedicated to safeguarding all Grab users. We ensure user safety, prevent fraud, and help the Grab ecosystem achieve regulatory compliance. This team involves itself in the entire data lifecycle, from analyzing user behavior to developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to an Analytics Manager in the Integrity team, you will implement controls that protect Grab's ecosystem. You will assist with deep-dive analysis on user behaviors, product funnels, and transaction patterns to help identify potential risks and new fraud typologies. Your analytical support will contribute to the design of risk detection strategies, optimization of AI/Machine Learning models, and implementation of crucial risk controls to safeguard a diverse user base.

You will base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Assist in measuring and analyzing key risk metrics, such as fraud loss, business/product performance, and the performance/effectiveness of existing risk controls across Grab business verticals.
• Support the identification of new fraud and risk patterns by extracting and visualizing data, contributing to the development of data-driven rules and strategies.
• Perform statistical analyses to improve risk detection systems and ensure data integrity.
• Contribute to reporting and data visibility efforts by preparing datasets and dashboards to empower stakeholders (Product, Engineering, Risk Operations) with insights on key risk metrics and evolving attack patterns.
• Support data extractions and preparations required for internal audits and compliance assessments.
• Help design and analyze experiments to determine the effectiveness of new or existing risk controls within the platforms.

In this role, you will become part of the Performance Excellence Pillar. The role is intended to work on Quality escape, RCA, KPI, and strategic prediction by analyzing data countries/clusters. You will have the opportunity to lead continuous improvement projects, according to the requirements, and deliver the expected business impacts. You will be working closely with Process Engineers, BAU Leads, Transformation on compliance-related initiatives and local projects.

• Analyze and identify areas for improvement in BAU (Business as Usual) processes and drive convergence of processes and tools
• Identify and implement solutions that translate into standardization and process efficiency while balancing local BAU needs
• Evaluate, develop, and implement policies and procedures, mapping business processes, capturing and sharing best practices between the respective countries and regions
• Facilitate and organize improvement and problem-solving workshops, brainstorming with stream members
• Work with metrics and data to identify improvement opportunities, delivering data-driven analysis and business cases
• Cooperate with Global Enablement, Governance, Process Owners, and Operations leaders to ensure we maintain high-quality deliverables and our delivery standards are met or exceeded.
• Utilize the AI concept to streamline the process to gain the operation efficient.

• Responsible in assisting Laboratory Technical & Compliance Manager on day-to-day laboratory operation for assigned section towards direction of effective implementation of quality system ISO/IEC 17025, SAMM policy and SGS GCSC requirement
• Assist Technical Advisor /Technical Specialist on the new method development as per business need.
• Respond to queries raise by customer / business / customer support team within agreed timeframe, with minimal supervision from Technical Advisor/ Specialist
• Collaborate with Operation team on investigation and deliver the outcome of investigation professionally to the party who raise the queries within agreed timeframe
• Periodically review, enhance and update of Working Instruction and Standard Operating Procedures when needed
• Working towards enhancement of existing lab process/methodology for lab efficiency improvement
• Work with laboratory operation team on root-cause investigation of all non-conformities and/or customer complaints with proposal of appropriate corrective and preventive actions to address the issue promptly.
• Provide technical training to laboratory personnel to ensure the laboratory competency and conduct refreshment training when needed.
• Insight into new technologies and initiative for enhancement
• Assist to ensure Good Housekeeping and Good Laboratory practice in the laboratory.
• Adherence to SGS Health, Safety and Environment (HSE) Policy by uphold a good safety behavior and exercising necessary standard and process when carry out your responsibilities at all times to ensure compliance to the HSE requirements.
• Perform any other responsibilities as assigned by your reporting manager and/or Senior Management

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

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

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 

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.

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  

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

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.