Total 54 Full-time data entry job vacancies in Malaysia

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!

Join SEEK's Data Enablement function as a Data Enablement Lead. You will unlock the value of SEEK's data by improving how it is discovered, understood, and used across the organisation. Reporting to the Head of Data Enablement, you will translate strategy into execution, working across product, engineering, and business teams to enable self-serve analytics, trusted data foundations, and AI-driven use cases. Your focus: drive adoption, improve data usability, and enable confident decision-making and innovation.

The Role

• Drive execution of SEEK's Data Enablement strategy into measurable initiatives
• Shape solutions that improve data discoverability, usability, and trust
• Design capabilities like data discovery tools, metadata frameworks, semantic layers, and glossaries
• Strengthen data ownership, stewardship, and "data as a product" practices with domain teams
• Identify and prioritise opportunities to improve data health, accessibility, and user experience
• Support adoption of metadata, quality, and lifecycle controls with governance partners
• Drive data literacy by uplifting skills across analyst and product communities
• Lead through influence in a federated model, aligning stakeholders and driving change

Your work enables faster, safer, more effective use of data across SEEK — powering decision-making and next-gen AI.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.