Total 98 Others/Any data entry clerk job vacancies in Malaysia

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

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.
  

Summary:

The Data Science team is a leading an internal SMART factory implementation. The selected candidate will be a part of a dynamic team working closely with factory operations, engineering and platform development team to deliver factory of the future. This is a unique opportunity to be part of Western Digital Industry 4.0 journey and change the way technology is used.

Responsibilities

• Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
• Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM), MCP Server, n8n and prompt engineering for factory/engineering usage
• Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
• Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
• Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
• Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
• Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
• Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

Get to Know the Team

The Regional Market Insights Team plays an important role in influencing Grab's strategic and operational decisions by offering insights on industry developments and competitive dynamics. We evaluate the landscape through diverse lenses and complement traditional market research and analysis with innovative techniques.

Get to Know the Role

Reporting to our Senior Market Insights Manager, you will lead the strategic market analysis initiatives, transforming complex data into actionable insights that drive business growth and inform critical organizational decisions. You will collaborate with cross-functional teams to uncover market opportunities, analyze competitive dynamics, and deliver compelling insights that shape our strategic direction for GrabMart business.

You will be base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Develop and implement advanced statistical models and machine learning algorithms to analyze market trends, consumer behavior patterns, and competitive dynamics across multiple business segments
• Design and conduct comprehensive market research studies to identify latest opportunities, potential risks, and market gaps that inform strategic planning
• Create compelling data visualizations and executive-ready reports that communicate complex insights to stakeholders at all organizational levels
• Collaborate with cross-functional teams including product, strategy, and operations to translate business problems into data-driven solutions and recommendations
• Mentor and support junior data scientists, promoting a culture of innovation, continuous learning, and analytical excellence
• Develop predictive models and forecasting frameworks to anticipate market trends and consumer preferences, allowing proactive decision-making
• Optimize data collection processes and implement best practices for data management, quality assurance, and analytical workflows
• Stay current with advancements in data science techniques, tools, and methodologies, evaluating their applicability to enhance our market analysis capabilities
• Present findings and recommendations to senior leadership with clarity and strategic context, translating data into business value

Get to know the Team

The Demand Analytics team turns data into growth—strengthening Grab's market leadership, optimizing product and promo performance, unlocking new demand through lifecycle and gamified experiences, scaling cross-vertical incentives and rewards, and partnering with product and business teams to pilot and scale high-ROI initiatives.

Get to know the Role

As a Senior Data Scientist for Demand team, you will be the analytical backbone of our growth strategy. You'll work with Product, Business, and Engineering teams to understand consumer behavior, identify market opportunities, and track the impact of our demand-generation efforts. Your role is to turn massive datasets into a roadmap for sustainable growth and competitive advantage.

You will reporting to our Analytics Manager and base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Identify Strategic Opportunities: Deep-dive into existing data to recommend product ideas that either solidify our current market share or unlock entirely new growth levers.
• Lead Experimentation: Design and propose robust experimentation strategies for new and exploratory features, analyzing results to provide clear "go/no-go" recommendations.
• Leverage AI for Insights: Utilize Generative AI and LLM-based tools to accelerate insight generation, automate root-cause analysis, and build intuitive, natural-language interfaces for complex data inquiries.
• Master Data Storytelling: Use visualization techniques and dashboards to present complex insights to non-technical audiences, influencing regional product roadmaps.
• Develop Scalable Frameworks: Identify recurring demand-side problem statements and build generalized analytical solutions to solve them efficiently at scale.
• Own Data Integrity: Design frontend and backend data specs for new demand features, collaborating with engineering to ensure high-quality data collection.
• Mentor and Role-Model: Support the professional development of junior team members while maintaining high standards of rigor in measurement, experimentation, and analysis.

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

• Own Data Science for a specific-market/industry on new and already established products, services and design.
• Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives.
• Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science.
• Support Client and Commercial teams with Data Science design and methodological questions.
• Play a leading role in the application of data and analytics strategies in support of clients’ business needs.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.
• Collaborate and align with other Data Science team units to deliver and prioritize objectives.
• Enable Data Science technology solutions on the ground and ensure solutions meets client needs.
• Leverage DSCi Methods, Product and Technology teams to bring to the market services and solutions.
• Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions.
• Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases.
• Enable your team to focus on innovation and contribute to the company's objectives.
• Coach and develop junior data scientists.
• Lead the team and provide performance objectives

Role Overview

We are seeking an experienced Senior Cost Manager to lead cost management activities across complex and fast‑paced data centre construction projects. In this role, you will take ownership of pre‑ and post‑contract commercial management, drive cost control strategies, and provide advisory support to clients throughout the project lifecycle.

You will lead project teams, oversee tendering and procurement processes, manage commercial risks, and ensure strong financial governance across multiple data‑centre‑related scopes (CSA, MEP, critical systems). This role requires excellent stakeholder management and a solid understanding of the cost drivers unique to mission‑critical environments.

Leadership & Team Coordination

• Lead cost management delivery across one or multiple data centre projects.
• Oversee and mentor Cost Managers and Assistant Cost Managers in day‑to‑day tasks.
• Maintain a collaborative, high‑performing team environment and support capability building.

Pre‑Contract / Tendering Support

• Lead the preparation of detailed cost estimates, cost plans, and budgets during concept, schematic, and detailed design stages.
• Review design information, identify cost risks, and challenge scope gaps or assumptions.
• Manage tender documentation, bid queries, tender analyses, commercial evaluations, and contract recommendations.
• Support procurement strategies for long‑lead equipment, specialist trades, and mission‑critical systems.

Post‑Contract Cost Control

• Oversee monthly cost reporting, cashflow forecasting, and financial performance tracking.
• Lead the change management process, ensuring variations are properly assessed, justified, and approved.
• Manage ongoing commercial negotiations with contractors and suppliers.
• Ensure adherence to contract terms, valuation processes, and financial controls.

Stakeholder & Client Engagement

• Serve as the primary commercial point of contact for clients, design consultants, and contractors.
• Facilitate project meetings and provide commercial recommendations to support decision‑making.
• Ensure clear communication of risk, cost status, and procurement issues to stakeholders.

Governance, Reporting & Quality

• Maintain clean audit‑ready cost documentation throughout the project lifecycle.
• Support value engineering initiatives to identify cost‑efficient solutions without compromising reliability or quality.
• Contribute to cost benchmarking, lessons learned, and continuous improvement within the team.
• Uphold internal governance standards, templates, and reporting requirements.

Role Overview 

As a Cost Manager, you will manage the core cost management services for complex construction projects, including mission-critical data centre developments, ensuring cost, quality, risk, and governance objectives are achieved. You will play a key role in supporting Turner & Townsend’s clients through the full project lifecycle, delivering best-in-class commercial outcomes while fostering a collaborative, high-performing project environment.

Project Support & Cost Management

• Deliver pre-contract and post-contract cost management services across construction projects, including data centres, critical facilities, and infrastructure-led developments.
• Prepare order-of-cost estimates, cost plans, and elemental cost analyses, with a strong understanding of CSA and MEP-heavy cost structures typical of data centre projects.
• Undertake rate analysis, benchmarking, and cost modelling for specialist packages such as MEP systems, electrical infrastructure, cooling systems, and fit-out works.
•  Lead tendering and procurement activities, including: Pre-qualification and tender strategy development, preparation of preliminaries and tender documentation, tender analysis, clarification, and recommendation reports,
• Support change control and post-contract cost management, managing variations, compensation events, and cost impacts arising from design development and client changes, escalating major issues where required.

Governance, Reporting & Client Interface

• Prepare monthly post-contract cost reports, cashflows, and forecasts, supporting formal client presentations and governance reviews.
• Provide commercial input into Value Engineering and cost optimisation exercises, particularly for high-value MEP and specialist trade packages common in data centre projects.
• Interface professionally with clients, consultants, contractors, and specialist vendors at all project stages.
• Support Turner & Townsend’s commercial governance, risk management, and cost assurance standards on live projects.
• Identify opportunities to improve cost management processes, templates, benchmarking data, and digital tools, sharing best practices within the business.
• Contribute to knowledge management, ensuring project data, lessons learned, and cost intelligence are captured in Turner & Townsend’s internal systems. 
• Collaborate effectively within the cost management team and, where appropriate, provide guidance and oversight to Assistant Cost Managers.
   

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

Role Summary 

As an Assistant Cost Manager for Data Centre Projects, you will support the delivery of cost management services across fast‑paced, service‑intensive environments. Working under the guidance of a Cost Manager or Senior Cost Manager, you will assist with cost planning, tender support, contract administration, and reporting activities.

Pre‑Contract Support

• Assist in preparing cost estimates, cost plans, and budgets for data centre projects.
• Support quantity take‑offs and rate analysis for MEP or CSA packages depending on background.
• Help prepare tender documentation, gather quotations, and support tender analyses and evaluations.
• Assist in compiling contract documents and supporting procurement activities.

Post‑Contract Support

• Help track project costs, monitor variations, and assist in change control procedures.
• Support preparation of monthly cost reports and updates for clients.
• Collect and verify data required for progress valuations and payment certifications.
• Coordinate with contractors and consultants to verify work progress and financial claims.

Governance & Coordination

• Maintain organised documentation, cost records, and audit‑ready files throughout the project.
• Assist in value engineering discussions and cost‑saving reviews.
• Support the project team by providing timely inputs during meetings, workshops, and client discussions.
• Ensure key information and learning from each project is uploaded into internal knowledge platforms.

Get to Know the Team:

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & 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.

Get to Know the Role:

Reporting to the Senior Analytics Manager, you will work closely with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will analyze existing data and recommend new product ideas to address impactful customer problems based on business objectives.
• You will identify trends, spot anomalies, and investigate their root causes using data.
• You will utilize your data analysis and visualization skills to present insights and tell a compelling story to a non-technical audience.
• You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
• You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.

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

• Conduct daily EHS walkthroughs and report unsafe acts or conditions.
• Ensure immediate correction of non-compliances and proper PPE use.
• Assist in managing and verifying PTW for high-risk activities.
• Conduct toolbox talks and pre-task briefings; maintain attendance records.
• Supervise high-risk activities (lifting, excavation, electrical, etc.).
• Act as safety spotter during hazardous operations.
• Respond to incidents, preserve scenes, and assist in investigations.
• Monitor waste disposal and environmental controls (dust, noise, runoff).
• Check bunding and spill control for fuel/chemical storage.
• Spot-check contractor EHS documents and provide inductions.
• Maintain EHS logs, permit registers, and observation records.
• Prepare daily/weekly reports and track corrective actions.

• Manage the full life cycle of ICT-related scopes in data center build, expansion, or upgrade projects.
• Create and maintain project schedules, procurement plans, and progress reporting for ICT workstreams.
• Coordinate with contractors, system integrators, network teams, and equipment vendors to ensure timely delivery.
• Prepare project documentation including method statements, engineering submittals, testing plans, and handover packages.
• Oversee design reviews and technical compliance for:
  • Structured cabling systems (fiber & copper)
  • Network infrastructure (LAN/WAN, switching, routing)
  • Server/compute & storage readiness
  • Racks, patch panels, cable containment & labeling standards
  • Data center interconnect (DCI) solutions
  • Migration and cutover planning
• Ensure adherence to key standards and guidelines such as TIA-942, BICSI, ISO/IEC 11801, and Uptime Tier requirements.
• Evaluate equipment specifications, technical submissions, and shop drawings.
• Conduct inspections and quality verification for all ICT installations.
• Lead testing and commissioning activities including:
  • Fiber OTDR & power meter testing
  • Copper certification (Fluke, etc.)
  • Network equipment validation
  • Integration testing with ELV & DCIM systems
• Support Integrated System Testing (IST) for the data center.
• Act as the primary ICT technical lead for internal teams, clients, consultants, and external partners.
• Provide technical guidance and solution recommendations during design, construction, and commissioning.
• Manage vendor performance, procurement timelines, and material approvals.

• Lead end-to-end project management of ELV scopes within data center construction or upgrade projects.
• Develop and manage project schedules, milestones, deliverables, and budgets.
• Coordinate with consultants, contractors, vendors, and internal teams to ensure timely and accurate execution.
• Prepare project documentation including progress reports, method statements, risk assessments, and handover packages.
• Oversee design reviews, system integration, and compliance for all ELV systems (BMS, CCTV, ACS, FAS, PA, structured cabling, monitoring systems).
• Ensure adherence to international and local data center standards (e.g., TIA-942, Uptime Institute, ISO/IEC standards).
• Evaluate technical submissions, shop drawings, and engineering designs.
• Troubleshoot and resolve technical issues on-site during installation and commissioning.
• Ensure all ELV installations meet regulatory requirements, industry best practices, and safety standards.
• Conduct site inspections, quality checks, and acceptance tests (FAT, SAT, IST).
• Lead risk assessments and enforce compliance with HSE policies.
• Serve as the primary point of contact for ELV-related project matters.
• Manage client expectations and provide technical guidance throughout project phases.
• Liaise with procurement teams for vendor evaluation, material selection, and technical approvals.

• 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.

Senior Data Analytics Engineer / Lead

Location & Compensation
- KL Bangsar South (Hybrid)
- RM 8,000-14,000 Basic + Benefits

Why You Should Apply
- Join a data-first business intelligence platform and tech product company from Europe.
- Discover hidden value in unstructured data that drives significant business impact.
- Engage in a process of tracking, measuring, and iterating—not just handling data in and out.
- Provide actionable insights to corporate and enterprise clients, going beyond standard reporting.
- Future-proof your career by developing as a full stack data engineer and analytics professional, gaining a comprehensive understanding of the data lifecycle.

Key Responsibilities
- Split your role between 50% data engineering and 50% analytics.
- Identify and analyze trends, and conduct ad-hoc analyses to generate insights that support client decision-making.
- Collaborate with project managers and engineers to understand client needs, connect data sources, and deliver tailored solutions.
- Design, develop, and implement data pipelines to ingest and transform large volumes of data, and build scalable data models that power the core platform.
- Perform data integration and preparation, including ETL processes and data structure optimization, to streamline analysis workflows.

Requirements
- Educational background in Mathematics and Statistics, Analytics, Actuarial Science, or Data Science.
- Strong analytical mindset with a passion for working with numbers and converting data into actionable insights.
- Ability to define and solve ambiguous, open-ended business problems using exploratory and analytical approaches.
- Proficiency in SQL and Python for data transformation, cleaning, and preparation.
- Current role could in Data Analytics or Data Analyst / Data Engineer / Business Intelligence but you must have the Analytics experience

About the Company & Team
- A scaling European tech company with a Malaysian Engineering Hub, serving B2B enterprise customers.
- Specializes in niche, data-driven business insights tools for cargo, logistics, aviation, and shipping sectors.
- Supports clients in making informed commercial decisions related to routes, maintenance, demand planning, operations, and forecasting models.
- Opportunity to work with global customers, with a European head office and a Malaysian engineering hub.

How to Apply
- Click the “apply” button to submit your application.
- You may submit an updated CV or simply share your LinkedIn profile.
- The recruiter is available to provide more information before you proceed.

Additional Notes
- Employment passes, work visas, or relocation support are not provided.
- Only candidates with work rights in Malaysia will be considered.
- This role is not suitable for fresh graduates; 4-8+ years of relevant experience is required.

Get to Know the Team

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

You will report to the Head of Analytics, and you will work closely with different teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

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