Total 25 Business 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

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.

Role Overview

The Technical Analyst engineer is the engine room of the Client Experience department, reporting directly to the AI Lead. You will bridge the gap between technical infrastructure and business intelligence by building and maintaining the department’s automation stack—using Zendesk and Python—while applying AI/LLM knowledge to enhance support capabilities. You will also serve as the team’s data anchor, performing deep-dive financial reconciliations and building automated dashboards to drive data-led decision-making.

Key Responsibilities

1. Automation & AI Integration
• Zendesk & SaaS Optimization: Architect and maintain Zendesk triggers, automations, and complex workflows;
• Python-Led Automation: Develop and deploy Python scripts to automate repetitive manual tasks.
• AI Feature Deployment: Implement and tune advanced AI features within SaaS, managing knowledge base training and basic RAG (Retrieval-Augmented Generation) logic.
2. Data Tools & Reporting
• Advanced Data Analysis: Use tools extensively for high-stakes data cleaning, financial reconciliation, and analysis (advanced formulas and Power Query required).
• BI Dashboarding: Build and maintain automated reports to track KPIs and operational health.
• Management Reporting: Prepare regular operations and analysis reports, translating raw data into insights for Finance and Management teams.
3. Process Improvement & Collaboration
• Workflow Refinement: Support the optimization of processes, rules, and SOPs to improve efficiency, transparency, and internal control.
• Cross-functional Alignment: Work closely with Payment, Finance, IT, and Product teams to drive system improvements and handle security-related whitelisting or response tasks.

• Platform Expertise: Hands-on experience with Zendesk Administration (workflows, triggers, and app integrations).

• Advanced Data Skills: Expert-level Excel (Power Query, Pivot Tables, and complex financial reconciliation); experience with SQL and BI tools.
• Automation & Scripting (Preferrable): Proficiency in Python for business process automation and data extraction; experience with APIs and Webhooks.
• AI Literacy (Preferrable): A foundational understanding of LLMs and how to apply them within a customer experience or operational framework.

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.

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.

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.

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

About You

You will join the SEEK Business engineering team — a self‑contained scale‑up powered by SEEK’s global platform. You will design, build, and maintain full‑stack software that powers Australia’s largest online business‑for‑sale marketplace. Working across TypeScript, NodeJS, React, GraphQL, and AWS, you’ll deliver secure, reliable, and scalable solutions end‑to‑end. You will collaborate daily with product managers, designers, and fellow engineers, contributing to architecture decisions and continuous improvement in DevOps, CI/CD, and automation. Success in this role means shipping well‑crafted code, owning complex technical decisions, and helping the team raise engineering quality while driving rapid delivery.

What You Will Do

• Design and build high‑performance full‑stack applications using modern tech
• Own services through development, testing, deployment, and production support
• Contribute to architecture decisions and continuous delivery improvements
• Collaborate with design, product, and cross‑functional teams to deliver at speed
• Strengthen DevOps culture through CI/CD, observability, and automation
• Ensure reliability and performance of SEEK Business’s platforms
• Share learnings and mentor peers to uplift technical standards

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

Main Purposes of the role:

The role will be part of a team responsible for ensuring that day to day network operations run smoothly across the regions. This will include monitoring the environment and responding to incidents and problems as they arise and performing preventative maintenance where necessary.

Day to day activities will include responding to requests to perform changes and maintenance to the network in line with global standards.

Adherence to ITIL process and procedures alongside global standards is essential.

• The role will work closely with other regional and global resources. The role will also incorporate project and design work as overflow from the Network specialist team.
  
  In this role you will be responsible for:
• As required, it produces outline system designs and specifications, and overall architectures, topologies, configuration databases and design documentation of networks and networking technology within the organisation. Specifies user/system interfaces, including validation and error correction procedures, processing rules, access, security and audit controls. Assesses associated risks, and specifies recovery routines and contingency procedures. Translates logical designs into physical designs.
• Monitors service delivery performance metrics and liaises with managers and customers to ensure that service level agreements are not breached without the stakeholders being given the opportunity of planning for a deterioration in service.
• Carries out agreed operational procedures, including network configuration, installation and maintenance. Uses network management tools to collect and report on network load and performance statistics. Contributes to the implementation of maintenance and installation work. Uses standard procedures and tools to carry out defined system backups, restoring data where necessary. Identifies operational problems and contributes to their resolution.
• Identifies and resolves complex network problems following agreed procedures. Uses network management software and tools to collect agreed performance statistics. Carries out agreed network maintenance tasks.
• Provides technical expertise to enable the correct application of operational procedures. Uses network management tools to determine network load and performance statistics. Contributes to the planning and implementation of maintenance and installation work. Implements agreed network changes and maintenance routines. Identifies operational problems and contributes to their resolution, checking that they are managed in accordance with agreed standards and procedures. Provides reports and proposals for improvement to specialists, users and managers.
• Uses network management tools to produce management information on capacity and utilisation and investigate issues where necessary.
• Carries out routine audits and checks to ensure adherence to policies and procedures. Facilitates the implementation of mandatory electrical safety testing.
• Acts as the routine contact point between organisation and supplier. Collects and reports on supplier performance data.
• Reviews capacity, performance, availability and other operational metrics and takes appropriate action to ensure corrective and proactive maintenance of storage and backup systems to support the requirement to protect business information.
• Creates reports and proposals for improvement and contributes to the planning and implementation of new installations and scheduled maintenance and changes within the system.
• Prepares and maintains operational procedures and provides technical expertise and appropriate information to the management.
• Take an active part in the ownership of the service that we deliver

The ideal candidate will possess:

• Minimum a Diploma in related discipline of studies with proven track record in IT computing environment
• 2- 4 years minimum experience working in an IT Network or similar IT operations support role at an advance level

Experience:

• Has good understanding of technologies used within the organisation
• Extensive experience of Cisco Routing and Switching, Cisco ASA, Aruba Switching & Wireless, Stingray traffic manager, VPN, DHCP, Aerohive WAP’s and Velocloud SD-WAN
• Experience of technologies wider than networks, Microsoft Server technologies, Linux, specifically around Proxy Servers, DHCP, DNS
• The ability to work across technology silos to resolve issues independently

Knowledge & Skills:

• Works under broad direction. Work is often self-initiated. Is fully accountable for meeting allocated technical and/or project/supervisory objectives. Establishes milestones and has a significant role in the delegation of responsibilities.
• Influences organisation, customers, suppliers, partners and peers on the contribution of own specialism.
• Builds appropriate and effective business relationships.
• Makes decisions which impact the success of assigned projects i.e. results, deadlines and budget. Has significant influence over the allocation and management of resources appropriate to given assignments.
• Performs an extensive range and variety of complex technical and/or professional work activities. Undertakes work which requires the application of fundamental principles in a wide and often unpredictable range of contexts. Understands the relationship between own specialism and wider customer/organisational requirements.
• Has in-depth commercial and technical expertise, often in a variety of environments.
• Demonstrates an understanding of current developments in the application of Information Systems and is able to assimilate and interpret advice from specialists - technical or otherwise.
• Has some knowledge of IT standards and codes of conduct.
• Planning and organisation - Determining a course of action by breaking it down into smaller steps and by planning and resourcing each of these, making allowance for potential problems.
• Decision making - Making decisions at the appropriate time, taking into account the needs of the situation, priorities, constraints and the availability of necessary information.
• Initiative - Being proactive, taking action and anticipating opportunities.
• Communication - interact with other members of IT and the business through multiple methods of communication.
• Ownership - Must be able to demonstrate the ability to own a problem or incident and instill confidence that problems will be resolved in a timely manner.
• Improvisation - Dealing effectively with unexpected situations, taking advantage of opportunities and overcoming problems.
• Commercial orientation - Keeping commercial aspects continually in mind when taking actions or making decisions.
• Customer focus - Understanding the needs of the internal or external customer and keeping them in mind when taking actions or making decisions.
• Influence, persuasion and personal impact - The ability of an individual to convey a level of confidence and professionalism, positively influencing and persuading others to take a specific course of action when there is no direct line of command or control.
• Interaction with people - Establishing relationships and maintaining contacts with people from a variety of backgrounds. Effective and sensitive communicator in different societies and cultures.
• Teamwork - Working cooperatively (rather than competitively) with others to achieve a common goal

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!

We are seeking a dynamic Regulatory Data Analyst (1-Year Contract) to be part of our mission to drive impactful decisions across our 16 markets. Working within our Analytics team, you'll support the team by providing high-quality regulatory data operations support and collaborating with internal teams to assist in decision-making. This is a foundational role offering the opportunity to grow technical skills and learn from experienced data professionals.

• Data Preparation & Ad Hoc Analysis: Manage and validate regulatory data requests from regulatory bodies, and courts. Ensure accurate and timely submission of information in accordance with specified deadlines.
• Cross-Functional Collaboration: Partner with legal and technical teams to maintain data integrity and uphold internal data quality standards.

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!

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.

• Analysing stakeholder requirements, formulating design and development proposals to enhance the global markets technology efficiency and meets Front office expectations
• Delivering and supporting the Global markets platform (Murex), managing the quality of functional delivery and ensuring the implementation and deployment of the deliverables.
• Perform various levels of testing for assigned deliverables as well as participate in formal release cycles (SIT/UAT)
• Contributing and assist existing support parties in resolving requests or issues with Front Office, P&L, Market Data, and booking issues
• Interacting with stakeholders to develop practical domain roadmaps to move the enterprise towards the future state vision, while taking into account business, technical and delivery constraints
• Communicating the principles, standards, vision and roadmaps to stakeholders and proactively addressing any questions / concerns identified
• Acting as a trusted advisor to stakeholders in both business and IT to assist in defining and delivering high quality solutions

• BS or higher degree in Economics, Finance or equivalent science oriented track
• Knowledge of most common traded financial instruments is a MUST
• Must be detailed-oriented, a quick learner, and a self-starter
• 7+ years’ experience as a Front office / Product control system/business analyst or consultant in a leading trading platform.
• Previous experience with a flagship Trading system (ideally Murex) is an advantage
• Previous experience in delivering projects in financial services – preferable Investment banking and Risk
• Solid experience in gathering and writing requirements and functional specifications in a project framework

PRISM+ is Singapore’s leading homegrown electronics brand, with a presence across key markets in Australia, Malaysia and the Philippines. The brand’s mission is to make premium technologies accessible to the masses—disrupting established industries with innovation and value that goes beyond the product. PRISM+ was founded in 2017 as a direct-to-consumer (D2C) display technology specialist, where it quickly grew to become the number one monitor and smart TV brand in Singapore. Best known and loved for its affordable premium offerings and award-winning customer experience, the brand has expanded its offerings to include a wide range of affordable premium home electronics and appliances.

Join us at PRISM+ and become part of a journey where innovation meets impact, and every day offers a chance to shape the future of consumer technology. Discover a career where your ideas matter, your growth is nurtured, and together, we create a brighter tomorrow.

Responsibilities

• Extract, clean and present data in an understandable manner to respective department leads
• Analyze operational data to identify trends, patterns, and areas for improvement
• Provide actionable insights to the respective stakeholders
• Develop and maintain dashboards for real-time monitoring of key performance metrics
• Ensure data accuracy and integrity in all reporting systems
• Prepare regular performance reports to track progress against goals
• Collaborate with team members to interpret data and implement improvements
• Any other adhoc tasks as assigned by the Company

• Diploma or Bachelor's Degree in Data Analytics/Science or a related field
• Proficiency in data analysis tools such as Python, SQL, and Google Sheets
• Strong knowledge of data visualization tools and ability to present data insights effectively.
• Excellent problem-solving skills and ability to work with large and complex datasets.
• Strong communication skills, with the ability to present technical findings to non-technical stakeholders.
  

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 (e.g. Beverages, Food, Health and Beauty Products). As a Data Processing Specialist at Nielsen, you 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 Operations 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 and drive the convergence of processes and tools
• Providing accurate and timely feedback, 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

Growthdesk is looking for a Data Analytics & AI Product Analyst to join our team to drive campaign performance and measure the impact across various social media platforms.

A cool, sharp, witty and talented person who is interested in digital marketing, obsessed with optimization, love numbers and tech startups in general. We are looking for someone who is a self-starter - doesn’t always need to be told what to do, and can balance time and manage themselves. Successful candidates must have excellent analytical skills, attention to detail, be problem-solvers and is a multi-tasker.

What you will be doing:

• Provide regular internal analytics report on campaign performance (indicators) and able to provide insights and analysis in a clear and concise manner
• Have strong analytical ability to evaluate end to end customer experience across multiple channels and customer touchpoints
• Collaborate with internal teams to optimize user funnels and experience
• Brainstorm new and creative growth strategies (including identification of new trends in digital marketing and evaluate new technologies) adhering to best practice guidelines
• Plan, execute and measure experiments and conversion tests including A/B and multi-variate testing and dynamic ads optimization

Acts as point-of contact between Operations and internal client services / clients to manage E2E operational queries and support to clients. Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders

Responsibilities

• Responsible for the timely provision of data in the highest quality according to the agreed service level and requirements
•  Process defined reports, schedules and processes by adhering to defined procedures, delivery schedules, and SLAs
• Acts as the clients' advocate within NOC by providing feedback on clients' needs, and challenging internal processes to best deliver on those needs
• Provide constructive input to Process Owners / Team Leads / Operations Manager to optimize and improve Operations effectiveness
• Understand the relationship of assigned processes to both upstream and downstream processes to guarantee clean data is delivered by eliminating the need for re-work from any Operations team
• Delivers databases and outputs based on client specifications on time and at expected quality as well as engaging with stakeholders

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 NIQ, 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

• Own Data Science solutions for client requests by giving recommendations for client raised issues through data analysis.   

• Support Internal and External Clients with the understanding of Data Science design and methodology (in English).  

• 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 (both for the offline and online markets).  

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

• Support Data Science solutions for the Korea & Pacific market (both offline and online FMCG retail) and collaborate with other Data Science team units across the Asia Pacific cluster.  

•  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. 

The Integrity team is dedicated to safeguarding our users on Grab. We use our datasets to address multiple challenges, from ensuring safety to preventing fraud. We are involved in the entire data lifecycle, including analyzing user behavior, identifying anomalies, and developing detection and prevention modules for suspicious activities. If you're enthusiastic about solving complex problems that have a direct, real-world impact, we'd love to have you on board!

Get to Know the Role

Reporting to our Analytics Manager in the Integrity team (Trust, Identity & Safety), you will help analyze data to understand user behaviors and identify potential risks on our platform. Your insights will guide strategies to safeguard our diverse user base from multiple types of fraud and risk.

The Critical Tasks You Will Perform

• Analyze large-scale user, partner, and transaction data to identify risk patterns, trends, and anomalies; recommend targeted mitigation strategies.
• Build and iterate data-driven detection (e.g., rules, thresholds, signals/heuristics) and support simulations/impact analysis to balance fraud catch with user friction.
• Create, maintain, and automate dashboards/monitors that track key risk and performance metrics (precision/recall, false positive rates, incident trends, financial impact).
• Conduct statistical analyses and experimentation (e.g., A/B or backtesting) to validate changes, quantify trade-offs, and guide policy/strategy updates.
• Partner with Product, Engineering, Data science and strategy teams to scope problems, align on success metrics, and operationalize solutions.
• Contribute to incident reviews, root-cause analyses, and prevention playbooks; help institutionalize learnings into processes and tooling.
• Leverage AI/LLM tools responsibly to accelerate analysis, documentation, and prototyping.

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 

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