Total 13 data entry job vacancies in selangor

About the Role

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

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

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

Key Responsibilities:

1) Reporting & Process Automation (Priority Focus)

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

2) Data Management & Pipeline Development

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

3) Dashboard & Visualization

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

4) AI & Advanced Analytics (Progressive Implementation)

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

5) Process Improvement

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

6) Collaboration

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

7) Other Duties

• Any other tasks as assigned by Top Management

Requirements

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

Perks & Benefits

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

Job Summary

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

Job Responsibility

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

Perks & Benefits

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

Get to Know the Team

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

Get to Know the Role

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

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

The Critical Tasks You Will Perform

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

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.

As Data Scientist you will work in a global team of experts delivering Data Science products and know-how to diverse areas all over the tire business. Our Data Science Hub in Portugal will be integral part of this team.

Responsibilities

• Be integral part of projects in an area of specialization like Sales, Marketing or Supply Chain Management.
• Work on our Sales and Marketing data to create forecasts, customer insights and connect the dots that others don’t see.
• Work with domain experts to understand their problems and solve them with data.
• Be a partner in connecting the necessary experts from business and IT to solve problems.
• Get involved into different tasks at once and involve yourself with our team to get the support you need.
• Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems.

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.

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

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.

• 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.