Total 80 Others/Any big data analyst job vacancies in Malaysia

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

We are looking for an analytical, Collection and Recovery operationally experienced Strategy Specialist to bridge the gap between our debt collection platform and our clients’ day-to-day collection operations.

This role combines functional consulting, collections operations advisory, workflow optimization, and client engagement. The successful candidate will become a subject matter expert in our platform, understanding its features, workflow configuration, automation capabilities, and operational logic in depth.

You will work closely with clients onsite to observe how collection teams utilize the system in real operational environments, identify inefficiencies or process gaps, and recommend data-driven collection strategies and workflow improvements that enhance recovery performance, operational productivity, and user adoption. This role is ideal for candidates with strong exposure to collections operations, banking recovery, debt collection strategy, or functional consulting within enterprise software environments.

Key Responsibilities

Product & Functional Expertise

• Undergo intensive internal training to master our own debt collection platform, including workflow configurations, business rules, automation logic, segmentation strategies, and operational features
• Develop a strong understanding of how system configurations and workflow designs impact operational efficiency and recovery performance
• Serve as a functional subject matter expert (SME) for internal teams and customers during implementation, optimization, and post-go-live support phases

Client Operations Advisory

• Observe and understand client’s end to end collection operations, user behavior, collection workflows, and management practices in real-world environments
• Evaluate operational inefficiencies, manual workarounds, underutilized features, bottlenecks, and process gaps that affect recovery effectiveness
• Analyze collection performance trends, operational behaviors, and workflow effectiveness using data-driven approaches
• Recommend practical workflow improvements, automation enhancements, segmentation strategies, and operational optimization initiatives to improve collection outcomes

Client Engagement & Consulting

• Conduct workshops, discussions, and presentations with operational users, collection managers, and business stakeholders
• Translate business requirements and operational pain points into effective system configurations and workflow recommendations
• Build trusted relationships with customer stakeholders by acting as a strategic advisor throughout implementation and optimization engagements
• Support user adoption and change management initiatives by helping customers maximize system utilization and operational value

Requirements

• Bachelor’s degree in Business Analytics, Data Analytics, Finance, Banking, or a related discipline
• Mandatory minimum 3 to 5 years of experience within debt collection operations, collections strategy, banking recovery, or as a functional analyst/consultant for accounts receivable software
• Proven track record of learning complex enterprise software platforms quickly and understanding how technical configurations translate into business results
• Strong capability to observe daily operational practices, identify inefficiencies or software workarounds, and formulate data-driven optimization strategies
• Commercially minded with the confidence to build relationships with client stakeholders, present optimization recommendations, and effectively position software upgrades or add-on modules that address operational pain points
• Excellent verbal and written communication skills, with the ability to confidently engage and present ideas to both frontline collection managers and executive decision-makers
• Willingness to travel and spend dedicated time working onsite at customer locations during observation, implementation, and optimization stages

Perks & Benefits

• Nearby public transport
• Casual dress code
• Free snacks / Happy hours
• Regular team activities
• Medical insurance
• Personal development opportunities

Job description:

The Data Entry Executive (Audit) is responsible for supporting the audit and finance functions by ensuring accurate and timely recording of financial data. This role involves handling invoices, verifying transactions, and maintaining proper documentation to support financial integrity and compliance.

Key Responsibilities

• Collect invoices and supporting documents from respective outlet managers in a timely manner
• Record daily sales and cash expenditures accurately in the system
• Verify individual cash expenditure transactions with relevant departments before data entry
• Ensure all financial data is properly documented and filed for audit purposes
• Identify and report discrepancies or errors to the supervisor and relevant stakeholders
• Assist in maintaining accurate financial records to support audit processes
• Perform additional duties as assigned by the supervisor

Requirements

• Bachelor’s degree in Accounting, Finance, or a related field
• 1–2 years of relevant working experience (fresh graduates may be considered if strong)
• Proficient in Microsoft Office, especially Excel and Word
• Strong attention to detail and high level of accuracy
• Good communication and interpersonal skills
• Ability to work under pressure and meet tight deadlines
• Basic knowledge of accounting principles and practices

Perks & Benefits

• Employee equity
• Nearby public transport
• Medical insurance

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

JOB DESCRIPTION :

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

JOB REQUIREMENT :

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

Perks & Benefits

• Personal leave
• Open culture
• Personal development opportunities

Role Overview:

The lead is responsible for leading demand forecasting and capacity planning to ensure optimal staffing strategies that support service level targets across all channels.

This role supervises the WFM analyst team, governs the forecasting methodology, and oversees workforce planning deliverables, enabling the WFM Manager to focus on strategic initiatives, stakeholder management, and long-term workforce optimization.

Job Responsibilities:

Forecasting & Capacity Planning

• Lead the development and governance of short-term and mid-term demand forecasts across all service channels (calls, email, chat, etc.).
• Translate forecasted demand into FTE requirements using workforce planning methodologies.
• Develop capacity planning models to determine staffing requirements, resource allocation, and service level feasibility.
• Support annual headcount planning, manpower budgeting, and hiring projections in collaboration with Operations and HR.
• Ensure forecast assumptions, methodology, and planning parameters are consistently applied and documented.

Scheduling Governance & Resource Optimization

• Oversee workforce scheduling frameworks to ensure coverage aligns with forecasted demand and capacity plans.
• Ensure scheduling strategies are aligned with staffing plans, shrinkage assumptions, and operational constraints.
• Guide analysts in implementing strategies to optimise service-level performance and workforce utilization.
• Monitor staffing allocation across functions and channels to support cross-function resource optimisation when required

WFM Team Leadership

• Supervise and guide WFM analysts responsible for forecasting support, scheduling execution, and reporting.
• Review analysts’ outputs, including forecast models, staffing plans, and operational reports.
• Establish structured workflows, ownership, and deliverable timelines within the WFM team.
• Provide coaching to develop analytical and workforce planning capabilities across the team.

WFM Performance Monitoring & Reporting

• Monitor key workforce planning metrics such as Service Level, Forecast Accuracy, Shrinkage, Occupancy, and Staffing Utilization.
• Provide structured insights and analysis to support operational decision-making.
• Maintain reporting frameworks and dashboards (Excel / Power BI) to ensure visibility of workforce performance.

Requirements & Qualifications

• 6-8 years of experience in Workforce Management, Capacity Planning, or Contact Center Operations.
• Minimum 2 years of team leadership or supervisory experience in WFM or operations analytics.
• Strong understanding of contact center forecasting methodologies and capacity planning models.
• Advanced skills in Excel, data analysis, and reporting tools (e.g., Power BI), with working knowledge of DAX and SQL.
• Strong analytical thinking and attention to detail.
• Good communication skills and ability to work collaboratively in a team setting.
• Self-motivated and eager to learn new tools and techniques.
• Able to manage multiple tasks and deadlines independently.
• Comfortable working with large data sets and resolving data inconsistencies.
• Open to Malaysians only

Competencies

• Strong analytical thinking and structured problem-solving ability.
• Ability to translate operational data into workforce planning decisions.
• Strong stakeholder management and communication skills.
• Leadership capability to manage analyst teams and drive operational discipline.

Perks & Benefits

• Nearby public transport
• Central location
• Medical insurance

職位概述：

該負責人負責領導需求預測和產能規劃，以確保最佳的人員配備策略，從而支援所有管道的服務水準目標。

該職位負責監督 WFM 分析師團隊，管理預測方法，並監督勞動力規劃交付成果，使 WFM 經理能夠專注於策略性舉措、利害關係人管理和長期勞動力優化。

工作職責：

預測與產能規劃

• 領導制定和管理所有服務管道（電話、電子郵件、聊天等）的短期和中期需求預測。
• 運用勞動力規劃方法，將預測需求轉化為全職員工（FTE）需求。
• 建立產能規劃模型，以確定人員配備需求、資源分配和服務水準可行性。
• 與營運和人力資源部門合作，支援年度人員編制計劃、人力預算和招聘預測。
• 確保預測假設、方法和規劃參數一致地應用並記錄在案。

調度治理與資源優化

• 監督員工排班框架，確保人員配備與預測的需求和產能計畫相符。
• 確保排班策略與人員配備計畫、人員縮減假設和營運限制一致。
• 指導分析師實施優化服務水準績效和勞動力利用率的策略。
• 監控各職能部門及通路的人員配置狀況，以便在需要時支援跨職能資源最佳化。

WFM團隊領導

• 監督和指導負責預測支援、調度執行和報告的 WFM 分析師。
• 審查分析師的成果，包括預測模型、人員配置計畫和營運報告。
• 在勞動力管理團隊內部建立結構化的工作流程、責任歸屬和交付時間表。
• 為團隊提供指導，以提升其分析能力和人力資源規劃能力。

WFM績效監控與報告

• 監控關鍵的人力資源規劃指標，例如服務水準、預測準確率、人員流失率、入住率和人員利用率。
• 提供結構化的見解和分析，以支援營運決策。
• 維護報表架構和儀表板（Excel / Power BI），以確保員工績效的可見度。

要求和資格

• 6-8 年勞動力管理、產能規劃或呼叫中心營運經驗。
• 至少 2 年 WFM 或營運分析的團隊領導或主管經驗。
• 深入了解呼叫中心預測方法和容量規劃模型。
• 精通 Excel、資料分析和報表工具（例如 Power BI），並具備 DAX 和 SQL 的工作知識。
• 較強的分析思考能力和注重細節。
• 良好的溝通能力和團隊合作能力。
• 自我激勵，渴望學習新工具和技術。
• 能夠獨立管理多項任務並按時完成。
• 能夠熟練處理大型資料集並解決資料不一致問題。
• 僅限馬來西亞公民參加

能力

• 較強的分析思考能力及結構化問題解決能力。
• 能夠將營運數據轉化為勞動力規劃決策。
• 較強的利害關係人管理和溝通能力。
• 具備管理分析師團隊和推動營運紀律的領導能力。

福利待遇

• 附近公共交通
• 中心位置
• 醫療保險

We're looking for a skilled Data Engineer with a strong product builder mindset to join our Product Development Team. In this role, you'll be instrumental in building and maintaining the data infrastructure that powers our data products. You'll work closely with product owners, engineers, developers, and data scientists to ensure the quality, consistency, and scalability of our solutions.

This is a hands-on role where you'll help shape the future of our data products—translating business needs into robust, scalable data solutions that empower our clients to make smarter decisions.

What you'll do

• Design and build robust, scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Implement and maintain optimal cloud-based architectures to support our data products.
• Own the full lifecycle of data processes—from ideation to deployment and maintenance.

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

• Develop and maintain interactive dashboards and reports using Power BI and/or Tableau
• Convert existing reports into structured data marts for improved scalability and performance
• Assist in migrating current reports and dashboards to a new reporting server/environment
• Perform data validation and ensure accuracy and consistency across reports
• Prepare and maintain comprehensive documentation for reports, data sources, and processes
• Collaborate with stakeholders to understand reporting requirements and suggest improvements

The Role

As a Senior Business Analyst, you will take the lead in conducting complex business analysis and iteration management to ensure successful initiative outcomes. Your responsibilities include crafting detailed documentation of intricate requirements, facilitating high-level communication with stakeholders, and identifying key opportunities for process optimization that align with broader business objectives.

Collaborating closely with cross-functional teams, such as engineers and product owners, you will lead iterative development and refinement processes, enhancing overall project delivery. You will manage risk, support the seamless implementation of solutions, and drive continuous improvement initiatives, ultimately delivering significant business value and contributing to strategic business success.

The Team 

Join the Marketplace Services (MPS) team as we continue our evolution from a service provider into a strategic platform enabler. Our purpose is to provide trustworthy data and shared services across APAC Candidate, Hirer and AI teams so we can deliver long-term customer value. 

Within MPS, the Profile, Apply and Jobs Services (PAJS) team provide shared capabilities that underpin many of SEEK’s core marketplace experiences: how candidates discover roles, create and manage profiles, and apply for jobs, and how hirers create, manage and optimise job ads. These services sit at the heart of SEEK’s Employment Marketplace and are consumed at scale across the group. 

Key responsibilities

• Define scope, objectives, deliverables; validate requirements and capture feedback.
• Lead discovery and documentation: user stories, use cases, process maps (as-is/to-be), acceptance criteria.
• Prioritise and trace requirements to business value; support solution design and validation.
• Plan and run iteration ceremonies: planning, backlog refinement, reviews, retrospectives.
• Manage risks and change; coordinate testing, develop test cases, verify quality.
• Facilitate workshops, align stakeholders, and maintain clear communication.
• Drive continuous improvement; share best practices; mentor juniors.
• Engage vendors as needed; support SLA compliance and onboarding.

• Assist in the delivery of project management services throughout the project lifecycle.
• Conduct background research, data collection, and benchmarking to support decision-making.
• Establish and maintain effective project documentation and reporting systems.
• Support the development and updating of detailed project plans and schedules.
• Track project progress and performance indicators; prepare updates and reports.
• Manage change control processes and maintain accurate change logs.
• Draft formal progress reports and presentations for stakeholders.
• Stakeholder Engagement
• Liaise with clients, contractors, consultants, and other stakeholders.
• Attend project meetings and produce accurate and timely meeting minutes.
• Support communication flow between internal and external teams.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

Get to Know the Team

At Grab, we empower merchants, advertisers and agencies to connect with our extensive ecosystem and audience through innovative solutions. Our unique platform allows clients to access their target markets effectively, ensuring measurable outcomes. We invite you to join us as we create value for users, drivers, merchants, and advertising partners while striving to improve daily life across Southeast Asia.

Get to Know the Role

Reporting to the Senior Sales Operations Manager, the Sales Ops & Analytics, you will be collaborating with Sales Operations, Commercial, Product Analytics, and Finance to develop and implement strategies and tools for the Sales teams. Your focus will be on promoting and delivering services to Grab's ecosystem. You should be able to both strategize and execute plans alongside the Commercial and Sales Operations Team. In this dynamic environment, you will contribute to sales strategy, customer segmentation, process improvement, and business analytics.

This is a fully onsite role at our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will act as a key partner for the Commercial Country Head and Country Sales Managers in MY/SG.
• You will lead the execution of country market planning and business reviews.
• You will analyze key sales and performance indicators to inform strategic and tactical decisions while ensuring sales forecast accuracy.
• You will support sales teams in monitoring and forecasting against quarterly targets for revenue and other KPIs.
• You will provide market and sales data intelligence to aid the sales team in forming strategic business cases.
• You will partner with sales leadership to define sales strategies and requirements for business systems.
• You will ensure integrity of sales and customer data by advocating proper usage of tools like Salesforce.
• You will coordinate with Regional Operations to enhance sales operations efficiency at the country level.

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

• Perform end to end AR process: specialized in billing process especially on customer invoicing either manual or automate
• Perform reconciliation and procession of invoice(s) into Oracle. Including: ensuring the invoicing accurately reflects as per the contracts/usage/billing request/SO
• Prepare customer aging report and other AR related reports
• Dealing with interface billing reconciliations, balance sheet through P&L reconciliation
• Perform and support month end close activities
• Accountable and responsible for the quality, accuracy and timely delivery of billing process in accordance to the defined SLAs/KPIs
• Work closely with the sales operation team and cross functional organization to resolve and support customer billing process, issues and/or inquiries
• Ensure compliance to internal and external regulations and procedures, that should be in line with the company policies, standard operating procedures, and/or SLA/MSA
• Liaise with the auditors, tax authorities and regulatory authorities as required for the countries served in GFS and Business
• Full support to O2C global initiative in UAT, migrations, scope expansion, standardization and/or data mapping or cleansing
• Support the assigned project (Acquisitions and Mergers, Divestment (when required)
• Undertake special assignments, ad hoc functions, and other duties as and when requested by the line manager
• Handle high complexity billing process

Job description

Review journal entries to ensure journals booked are validated/ substantiated in accordance to company Journal Policies. Collaborate with GL Analyst in understanding the journal's supporting evidence & approval.
• Support & coordinate HFM related task from region perspective, including error validation, coordinate on half year/year end disclosures per Group timeline.
• Support GL Analyst in rectify issues or enquiries pertaining to GL transactions within the entities supported.
• Organize and host balance sheet review calls with stakeholders (FC, FD, FBP, FP&A, HR, etc) to review & form action plan on aged items >90days and irregular/material open items. This includes challenging on validity of these items.
• Collaborate with stakeholders and sub-module functions (FA, AP, AR, IC, CM) to execute the action plan to clear these items to ensure a clean balance sheet position, escalate to manager or senior leaders if required
• Review month end balance sheet reconciliation file on monthly basis, ensure correct support documentation, reconciling items & action plan entered & completed correctly by the reconciler.
• Understand and ensure compliance with Experian policies and be the first line of defense/ Gatekeeper of the books.
• Provides guidance to team members, advising team on any matters arising from GL process
• Ensure stakeholders queries are attended to and resolved in a timely, responsible and proactive manner
• Ensure GL team key metrics are met & maintained, e.g. reduce aged open items & maintained the quality of month end balance sheet reconciliation file.
• Continuously drive for improvement & streamline processes within General Ledger function.
• Respond/ handle ad-hoc requests/ divestments/ acquisitions in a timely and professional manner

Team Leadership & Development

• Support the development of junior team members by providing day-to-day guidance, sharing technical knowledge, and encouraging collaboration.
• Contribute to a positive team culture by promoting open communication, mutual respect, and shared accountability.
• Demonstrate professionalism, reliability, and a proactive attitude in team interactions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Client & Stakeholder Engagement

• Coordinate with clients, consultants, contractors, and suppliers to ensure smooth project execution and alignment with objectives.
• Facilitate regular stakeholder meetings and reporting to maintain transparency and progress visibility.
• Build productive working relationships with internal and external stakeholders through consistent follow-up and responsiveness.
• Support conflict resolution and issue management by escalating appropriately and offering practical solutions.
• Assist in onboarding new team members and helping them integrate into project workflows.

Project Planning & Execution

• Lead overall project management to ensure quality, cost, statutory compliance, safety, environmental standards, and scheduling requirements are met.
• Manage the implementation of the master programme, including materials and long lead items, ensuring alignment with project milestones and delivery timelines.
• Update and maintain the master programme and ensure short-term programmes—such as weekly work plans, look-ahead schedules, and inspection timelines—are reviewed and communicated effectively to all relevant stakeholders.
• Plan and organize statutory inspections and ensure timely approvals.

Site Coordination

• Monitor progress and quality through regular updates and collaboration with site teams or contractors.
• Ensure safety standards and compliance are implemented across all project activities.
• Support effective project administration, including documentation, reporting, and issue resolution.

Stakeholder Management

• Oversee and manage external consultants and multidisciplinary teams to ensure their deliverables align with the project’s strategic objectives, timelines, and budgetary constraints.
• Act as the key liaison between internal stakeholders and external consultants to maintain clear communication and ensure consistent progress toward project milestones.
• Facilitate and lead regular project progress meetings with consultants and stakeholders, ensuring alignment with project objectives.
• Foster a collaborative team environment and promote knowledge sharing across the project team.

Project Reporting

• Produce comprehensive project reports that capture key updates, risks, decisions, and action items to maintain transparency and informed decision-making.
• Prepare and manage project schedules using appropriate tools such as Microsoft Project, Primavera P6, or Excel, including baseline setting, critical path analysis, and progress tracking.

Procurement Management

• Manage the full procurement process for consultants, including drafting scopes, evaluating bids, and negotiating contracts.
• Ensure all procurement activities comply with internal policies and governance & compliance frameworks.
• Support timely engagement and onboarding of consultants aligned with project needs.
• Work closely with internal teams and consultants to ensure procurement outcomes support project goals.

Join our exciting team as a Data Engineer with the following job scope:

• Architect and implement data solutions on our large-scale data platform Hadoop using PySpark.
• Write complex and efficient SQL queries to extract and transform data from various sources.
• Design, build, and maintain scalable and reliable data pipelines using tools like Apache Airflow and Kafka.
• Develop and optimize data processing jobs on the Microsoft Azure cloud platform, leveraging services such as Azure Data Lake, Databricks, and Azure Data Factory.
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver high-quality data products.
• Ensure data quality and integrity across all systems.
• Monitor, troubleshoot, and optimize the performance of our data infrastructure.
• Stay up-to-date with the latest trends and technologies in the Big Data space.

We are looking for a motivated Fresh Graduate to support our factory’s digital transformation initiatives. This role focuses on data analysis, dashboard development, and digital process improvement within manufacturing operations. The candidate will work closely with senior engineers and project leads to develop digital tools, automate reporting, and improve operational visibility. This position offers structured learning exposure in manufacturing analytics, automation, and cross-functional collaboration.

ESSENTIAL DUTIES AND RESPONSIBLITIES:

• Support development of dashboards and automated reports for production KPIs (UPH, OEE, Yield, Downtime).
• Assist in collecting, cleaning, and validating production data from multiple systems.
• Support automation of manual reporting processes using Excel, Power Automate, or similar tools.
• Perform data analysis to identify trends and highlight improvement opportunities.
• Assist in system testing, documentation, and user training materials for digital tools.
• Support project tracking activities (update status, follow up on action items).
• Participate in cross-functional meetings to understand manufacturing requirements.
• Contribute to continuous improvement initiatives using data-driven methods.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

The Logistics Center of Excellence (COE) is the global hub driving logistics process excellence and digital transformation. The team focuses on process optimization, digital enablement, and advanced analytics to support data‑driven decision‑making across the logistics organization.

This role plays a key individual‑contributor and technical leadership role in delivering BI and AI solutions. You will work closely with logistics business stakeholders to identify requirements, design and develop BI/AI solutions, and lead capability building within the COE team.

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Act as an independent BI/AI partner to logistics business teams, understanding requirements and proactively proposing data, BI, and AI solutions to address business needs.
• Design, develop, and maintain BI and AI solutions using Power BI and approved company AI and analytics platforms.
• Translate business problems into analytical models, dashboards, and insights that support operational and strategic decision‑making.
• Own end‑to‑end delivery of digital tasks, including requirement clarification, solution development, testing, deployment, and post‑deployment support.
• Communicate effectively with business stakeholders to track progress, provide status updates, and manage expectations throughout the project lifecycle.
• Provide technical leadership in BI/AI within the Logistics COE, including knowledge sharing, best practices, and hands‑on training for team members.
• Support broader logistics digital transformation initiatives and complete additional assignments as directed by the supervisor.

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.

Role Overview

This role is not about running tests. It is about understanding what the data means, why it behaves that way, and how to measure it better. You will work at the intersection of physics, electronics, and software, developing measurement solutions and extracting insight from complex data to support MEMS sensor development and production. This role is for you if you are comfortable writing code, interpreting data, and critically questioning measurement results.

Key Responsibilities

Characterization & Data Analysis

• Analyze large, datasets from MEMS characterisation and production
• Identify correlations, drifts, and non-obvious effects across multiple parameters
• Separate real physical effects from measurement artefacts
• Develop automated analysis workflows (Python / C# / similar)

Measurement Technology Development

• Design, build, and improve lab measurement setups (electrical, thermal, mechanical domains)
• Define measurement strategies for new product concepts and production methods
• Debug and extend internally developed measurement software (C++ / C#)
• Improve measurement robustness, repeatability, and throughput

Root Cause & Physical Understanding

• Drive root-cause analysis using data, experiments, and physical reasoning
• Work closely with product and process engineers to explain observed behavior
• Challenge unclear or inconsistent results

Method Validation & Lab Enablement

• Validate new test methods before production introduction
• Define limitations, accuracy, and uncertainty of measurement methods
• Document and standardize solutions for cross-site usage

Collaboration

• Work across disciplines: device physics, electronics, software, and production
• Collaborate with international teams and contribute to global MT alignment

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.