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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

Mengenai Peranan

Memacu automasi dipacu AI dan pelaporan pintar merentasi Kewangan dan Operasi untuk memperkemas dan mengautomasikan proses pelaporan.

Peranan ini memberi tumpuan kepada mengurangkan kerja manual, meningkatkan kelajuan pelaporan dan mempertingkatkan ketepatan data, membolehkan perniagaan membuat keputusan yang lebih pantas dan lebih baik.

Peranan ini memerlukan tahap integriti yang tinggi, kerana ia melibatkan pengendalian data kewangan sensitif dan menyokong proses membuat keputusan penting perniagaan.

Tanggungjawab Utama:

1) Pelaporan & Automasi Proses (Fokus Keutamaan)

• Automasikan laporan kewangan mingguan dan bulanan
• Singkirkan penyatuan Excel manual dan tugasan berulang
• Membangunkan templat pelaporan yang piawai dan boleh diskala

2) Pengurusan Data & Pembangunan Saluran Paip

• Mengekstrak dan mengubah data daripada ERP dan sistem dalaman
• Memastikan ketepatan, konsistensi dan integriti data
• Bina dan selenggara set data berstruktur untuk pelaporan dan analitik

3) Papan Pemuka & Visualisasi

• Membangunkan papan pemuka interaktif (cth. Power BI / Tableau)
• Membolehkan pihak pengurusan mengakses cerapan hampir masa nyata
• Meningkatkan keterlihatan KPI utama (jualan, kos, margin, dll.)

4) AI & Analisis Lanjutan (Pelaksanaan Progresif)

• Membangun dan menggunakan model AI/ML untuk:
• Ramalan (jualan, aliran tunai, permintaan)
• Pengesanan anomali (kos, pengeluaran, kualiti)
• Gunakan penyelesaian AI praktikal untuk meningkatkan automasi dan pembuatan keputusan

5) Penambahbaikan Proses

• Mengenal pasti ketidakcekapan dalam aliran kerja semasa
• Reka bentuk penyelesaian automatik untuk meningkatkan produktiviti
• Kurangkan kebergantungan kepada intervensi manual dan kakitangan penting
• Memastikan tadbir urus, ketepatan dan kerahsiaan data yang betul dalam semua proses pelaporan dan automasi.

6) Kerjasama

• Bekerja rapat dengan pasukan Kewangan, Operasi dan Pengeluaran
• Terjemahkan keperluan perniagaan kepada penyelesaian teknikal yang praktikal

7) Tugas-tugas Lain

• Sebarang tugasan lain yang diberikan oleh Pengurusan Atasan

Keperluan

• Minimum Diploma atau Ijazah Sarjana Muda dalam Sains Komputer, Kejuruteraan, Sains Data, Kecerdasan Buatan atau bidang berkaitan
• Kemahiran dalam pengaturcaraan Python & SQL dan pengetahuan asas tentang kerangka kerja AI dan pembelajaran mesin
• Pemahaman tentang teknik pemodelan AI, seperti pembelajaran yang diselia dan tidak diselia, dan kebiasaan dengan amalan pembangunan perisian
• Kebolehan menyelesaikan masalah yang kuat dengan kebolehan menganalisis set data dan menyelesaikan masalah teknikal
• Pengalaman langsung dalam penggunaan model & saluran paip hujung ke hujung
• Pengalaman dalam sekurang-kurangnya SATU peramalan/siri masa/visi komputer untuk industri pembuatan atau NLP/automasi.
• Sekurang-kurangnya 5 tahun pengalaman dalam kejuruteraan data.
• Pemikiran analitikal yang kuat dan kebolehan untuk bekerjasama secara berkesan dalam persekitaran berpasukan, dengan komunikasi yang jelas
• Tahap integriti yang tinggi, dengan rasa tanggungjawab yang tinggi dalam mengendalikan data kewangan dan operasi yang sensitif, memastikan ketepatan, kerahsiaan dan penggunaan maklumat yang beretika.

Faedah & Kebaikan

• Elaun (telefon, pengangkutan, dll.)
• Aktiviti pasukan tetap
• Cuti peribadi
• Perlindungan perubatan
• Cuti peribadi
• Peluang pembangunan peribadi
• Latihan dan pembangunan berbayar
• Komputer Riba dan Telefon Bimbit Tempat Kerja disediakan
• Insurans untuk Hospital dan Pembedahan
• Insurans untuk Kemalangan Diri
• Insurans Keyman
• Kenaikan Tahunan
• Bonus Tahunan
• Insentif Produktiviti

關於該職位

推動財務和營運部門的人工智慧驅動自動化和智慧報告，以簡化和自動化報告流程。

該職位旨在減少人工操作、提高報告速度和增強數據準確性，從而使企業能夠更快、更好地做出決策。

該職位要求高度誠信，因為它涉及處理敏感的財務數據並支援對業務至關重要的決策過程。

主要職責：

1）報告和流程自動化（優先關注點）

• 自動產生每周和每月財務報告
• 消除手動 Excel 合併和重複性任務
• 開發標準化且可擴展的報告模板

2）資料管理與管道開發

• 從ERP系統和內部系統中提取和轉換數據
• 確保資料的準確性、一致性和完整性
• 建構和維護用於報告和分析的結構化資料集

3）儀錶板和視覺化

• 開發互動式儀表板（例如 Power BI / Tableau）
• 使管理層能夠獲得近乎即時的洞察
• 提高關鍵KPI（銷售額、成本、利潤率等）的可見性

4）人工智慧與進階分析（逐步實施）

• 開發和部署用於以下用途的 AI/ML 模型：
• 預測（銷售、現金流量、需求）
• 異常檢測（成本、產量、品質）
• 應用實用的人工智慧解決方案來增強自動化和決策能力

5）流程改進

• 找出目前工作流程中的低效率之處
• 設計自動化解決方案以提高生產力
• 減少對人工幹預和關鍵人員的依賴
• 確保所有報告和自動化流程中資料治理得當、準確無誤且保密。

6）協作

• 與財務、營運和生產團隊緊密合作
• 將業務需求轉化為切實可行的技術解決方案

7）其他職責

• 高階管理人員指派的其他任何任務

要求

• 計算機科學、工程、數據科學、人工智慧或相關領域的最低文憑或學士學位
• 精通Python和SQL編程，並具備人工智慧和機器學習框架的基礎知識
• 了解人工智慧建模技術，例如監督學習和非監督學習，並熟悉軟體開發實踐。
• 具備較強的解決問題能力，擅長分析資料集與排除技術故障。
• 具備模型部署和端到端流程的實務經驗
• 至少在製造業預測/時間序列/電腦視覺或自然語言處理/自動化領域中的某一方面有經驗。
• 至少5年數據工程經驗。
• 具備較強的分析思考及團隊協作能力，溝通能力清晰。
• 具有高度誠信，對處理敏感的財務和營運數據有強烈的責任感，確保資訊的準確性、保密性和合乎道德的使用。

福利待遇

• 津貼（電話費、交通費等）
• 定期團隊活動
• 個人休假
• 醫療保險
• 個人休假
• 個人發展機會
• 有薪培訓和發展
• 提供工作筆記型電腦和手機
• 住院及手術保險
• 個人意外保險
• 關鍵人保險
• 年度增量
• 年終獎金
• 生產力激勵

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

Huraian kerja:

Eksekutif Kemasukan Data (Audit) bertanggungjawab untuk menyokong fungsi audit dan kewangan dengan memastikan rakaman data kewangan yang tepat dan tepat pada masanya. Peranan ini melibatkan pengendalian invois, mengesahkan transaksi dan menyelenggara dokumentasi yang betul untuk menyokong integriti dan pematuhan kewangan.

Tanggungjawab Utama

• Kumpul invois dan dokumen sokongan daripada pengurus outlet masing-masing tepat pada masanya
• Merekodkan jualan harian dan perbelanjaan tunai dengan tepat dalam sistem
• Sahkan transaksi perbelanjaan tunai individu dengan jabatan berkaitan sebelum memasukkan data
• Memastikan semua data kewangan didokumenkan dan difailkan dengan betul untuk tujuan audit
• Mengenal pasti dan melaporkan percanggahan atau kesilapan kepada penyelia dan pihak berkepentingan yang berkaitan
• Membantu dalam mengekalkan rekod kewangan yang tepat bagi menyokong proses audit
• Melaksanakan tugas tambahan seperti yang diarahkan oleh penyelia

Keperluan

• Ijazah Sarjana Muda dalam Perakaunan, Kewangan atau bidang berkaitan
• 1–2 tahun pengalaman kerja yang berkaitan (graduan baru boleh dipertimbangkan jika kukuh)
• Mahir dalam Microsoft Office, terutamanya Excel dan Word
• Perhatian yang tinggi terhadap perincian dan tahap ketepatan yang tinggi
• Komunikasi dan kemahiran interpersonal yang baik
• Kebolehan bekerja di bawah tekanan dan memenuhi tarikh akhir yang ketat
• Pengetahuan asas tentang prinsip dan amalan perakaunan

Faedah & Kebaikan

• Ekuiti pekerja
• Pengangkutan awam berdekatan
• Insurans perubatan

職位描述：

資料輸入員（審計）負責支援審計和財務職能，確保財務資料的準確及時記錄。該職位涉及處理發票、核實交易以及維護適當的文檔，以維護財務的完整性和合規性。

主要職責

• 及時向各門市經理收集發票和相關證明文件。
• 在系統中準確記錄每日銷售額和現金支出。
• 在資料輸入前，請先與相關部門確認每筆現金支出交易。
• 確保所有財務資料均已妥善記錄並歸檔，以備審計之用。
• 識別並向主管和相關利害關係人報告差異或錯誤。
• 協助維護準確的財務記錄，以支援審計流程。
• 依主管安排，執行其他任務。

要求

• 會計、金融或相關領域的學士學位
• 1-2年相關工作經驗（優秀應屆畢業生亦可考慮）
• 精通微軟辦公室軟體，尤其是Excel和Word。
• 注重細節，準確度高。
• 良好的溝通和人際交往能力
• 能夠在壓力下工作並按時完成任務
• 具備會計原則和實務方面的基本知識。

福利待遇

• 員工權益
• 附近公共交通
• 醫療保險

Ringkasan Kerja

Dunia pengurusan data perusahaan untuk mencipta dan menyelenggara seni bina saluran data yang optimum, tugas dan tanggungjawab biasa untuk jawatan Jurutera Data termasuk:

Tanggungjawab Kerja

• Mengumpulkan set data yang besar dan kompleks yang memenuhi keperluan perniagaan yang tidak berfungsi dan berfungsi
• Mengenal pasti, mereka bentuk dan melaksanakan penambahbaikan proses dalaman termasuk mereka bentuk semula infrastruktur untuk skalabiliti yang lebih besar, mengoptimumkan penghantaran data dan mengautomasikan proses manual
• Membina infrastruktur yang diperlukan untuk pengekstrakan, transformasi dan pemuatan data yang optimum daripada pelbagai sumber data menggunakan teknologi Azure, AWS dan SQL
• Membina alatan analitikal untuk menggunakan saluran data, memberikan wawasan yang boleh diambil tindakan ke dalam metrik prestasi perniagaan utama termasuk kecekapan operasi dan pemerolehan pelanggan
• Bekerjasama dengan pihak berkepentingan pelanggan termasuk pasukan data, reka bentuk, produk dan eksekutif serta membantu mereka dengan isu teknikal berkaitan data
• Bekerjasama dengan pihak berkepentingan pelanggan termasuk pasukan Eksekutif, Produk, Data dan Reka Bentuk untuk menyokong keperluan infrastruktur data mereka sambil membantu isu teknikal berkaitan data

Faedah & Kebaikan

• Ekuiti pekerja
• Elaun (upah perjalanan, pengangkutan, dll.)
• Pengangkutan awam berdekatan
• Snek percuma / Waktu gembira
• Aktiviti pasukan tetap
• Perjalanan syarikat
• Insurans perubatan
• Cuti peribadi
• Budaya terbuka
• Peluang pembangunan peribadi
• Latihan dan pembangunan berbayar

職位概述

在企業資料管理領域，資料工程師負責創建和維護最佳資料管道架構，其典型職責包括：

工作職責

• 整合滿足非功能性和功能性業務需求的大型複雜資料集
• 識別、設計和實施內部流程改進，包括重新設計基礎設施以提高可擴展性、優化資料傳輸以及自動化手動流程。
• 利用 Azure、AWS 和 SQL 技術建立必要的基礎設施，以實現從各種資料來源中最佳的資料提取、轉換和載入。
• 建立分析工具以利用數據管道，為關鍵業務績效指標（包括營運效率和客戶獲取）提供可操作的洞察
• 與客戶利害關係人（包括數據、設計、產品和管理團隊）合作，並協助他們解決與數據相關的技術問題。
• 與包括執行團隊、產品團隊、數據團隊和設計團隊在內的客戶利害關係人合作，支援他們的數據基礎設施需求，同時協助解決與數據相關的技術問題。

福利待遇

• 員工權益
• 津貼（旅費、交通費等）
• 附近公共交通
• 免費小吃/歡樂時光
• 定期團隊活動
• 公司旅行
• 醫療保險
• 個人休假
• 開放文化
• 個人發展機會
• 有薪培訓和發展

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 Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We leverage our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analyzing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis and decision-making capabilities.

Get to Know the Role

Reporting to the Analytics Manager, you will be an important analytics partner focused on Trust and Safety for a specific Problem Space Team (PST). Your primary focus is to analyze user behavior and product funnels to identify potential risks. You will use our evolving auto-adaptive tools and GenAI capabilities to streamline your daily analytical workflow.

You will base onsite at our Grab Malaysia office.

The Critical Tasks You Will Perform

• Address analytical problems of low to medium complexity, delivering reliable and accurate insights to measure business and product risk performance.
• Analyze user behavior data to identify potential vulnerabilities across different risk domains, including account security, user safety, and content integrity, assisting in the building of anomaly detection systems.
• Ideate on new signals to detect risks, working with stakeholders to develop data-driven rules that mitigate bad actors.
• Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
• Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
• Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.

ABOUT US

As Southeast Asia’s #1 integrated logistics provider, Teleport is all about making logistics fast, affordable and reliable. 

Our mission? To move things across Southeast Asia better than anyone else. We’re focused on making next-day delivery a reality for all.

#TeamTeleport is guided by our values: Move with urgency — because time is crucial; Aim to pioneer — constantly innovating to stay ahead; Do it with intent — delivering with purpose and precision; and Keep it real — maintaining authenticity and transparency in all we do.

Learn more about Teleport here: https://www.teleport.it/ 

Key Responsibilities :

• Data Consolidation and Simplification :

- Collect, clean, and consolidate raw data from various sources or improvise it.

- Transform complex data sets into clear, understandable formats that can be easily interpreted by the team.

• Data Analysis and Insight Generation :

- Analyze data to identify trends, patterns, and anomalies.

- Provide actionable insights and recommendations based on data analysis to support business improvement and decision-making.

• Data Presentation :

- Develop and deliver presentations that communicate complex data and findings in a simplified and visually engaging manner.

- Utilize Google Sheets, Google Slides, and Google Docs to create clear and professional reports and presentations.

Qualifications:

• Analytical Skills : Strong numerical and analytical abilities with a keen eye for detail.
• Data Interpretation : Ability to interpret complex data and present it in a user-friendly format.
• Technical Proficiency : Proficiency in Google Workspace (Google Sheets, Google Slides, Google Docs) is preferred.
• Communication : Excellent written and verbal communication skills, with the ability to present data-driven insights effectively.
• Problem-Solving : Strong problem-solving skills and the ability to think critically about data and its implications for the business.
• Team Player : Collaborative mindset with a willingness to contribute to team efforts and learn from others.

Preferred Qualifications:

• Pursuing or completed a degree in Data Science, Statistics, Mathematics, Economics, Business, or a related field.
• Previous experience or coursework in data analysis or data visualization is a plus.

At Teleport, we’re all about creating a diverse and inclusive team where everyone feels valued. We believe that different perspectives make us stronger and help us do logistics better across Southeast Asia. We welcome people from all walks of life and celebrate what makes each of us unique. If you’re passionate about making a difference, we’d love to hear from you!

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Identify, develop, and deploy AI use cases within AlMg Substrate manufacturing, targeting yield improvement, defect reduction, and equipment downtime minimization across Plate, Wash, and Polish processes.  
• Build predictive and prescriptive models using available internal AI tools on manufacturing process data extracted from MES, ERP, and IoT/sensor sources.  
• Apply statistical analysis techniques including SPC, DOE, Cpk analysis, hypothesis testing, and multivariate analysis to uncover KPIV-KPOV relationships in substrate manufacturing processes.  
• Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.  
• Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.  
• Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  
• Collaborate cross-functionally with Process, Quality, Test/FA, and Metrology teams to integrate analytics capabilities into existing engineering workflows.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

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) supporting Australia market. As a Data Operations Analyst of Input Validation function at NIQ, 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 

As a Principal Data Operations Analyst, you will leverage your deep expertise to support assigned departments or countries by driving process optimization and system enhancements. Your primary goal will be to ensure operational efficiency, effectiveness, and flexibility while adhering to SOPs. You'll collaborate across functions and regions, offering expert solutions to complex issues and ensuring continuous process improvement.

Main responsibilities:

• Responsible to design, establish, implement and prepare documentation for the projects or respective production processes/procedures/country specifics, ensuring expected quality and delivery timings are met. 
• Implement solutions that translate into standardization and process efficiency while balancing local BAU needs 
• Act as a single point of contact regarding tools and processes enhancements, including communication and follow up with countries. 
• Provide expertise in the respective platform/process area  
• Responsible to set up and get all training delivered to the team members on time with the respective quality 
• Drive a continuous process to enrich training base and make it more effective. 
• Asses the team members and work to fulfil the knowledge gaps. Ensure that teams operate with level of knowledge required.  
• Propose improvement of processes, through automation, innovation and convergence.  
• Support transformation and optimization of production processes and ensure SOP compliance. 
• Support and organize the execution of new client solutions 
• Answering technical questions and issues resolution 
• Support a “root cause” culture to ensure that a true resolution is achieved for all performance incidents identified. 
• Building and support documentation for best practices and country knowledge  
• Develop skills by attending workshops and training sessions 

Being part of SME community, share knowledge around Operational key topics working closely with Enablement.  

• Drive Specific Topic within SME initiatives being a Champion 
• Organise Training Sessions 
•  Attend & Actively Participate in Training Sessions 
• First Point of Contact for inquiries 
• Provide constructive input to Process Owners / Coordinators and Managers / Team Leads to optimize / improve Operations effectiveness 
• Being a team member create a culture of engagement, inclusion and innovation 

Get to Know the Team

The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics that enables Grabbers across the company to define, serve, discover, and consume trusted business and product metrics at scale. Our platform is an important foundational layer for Grab's AI-powered data ecosystem. By making metrics reliable, reusable, discoverable, and served across teams, we help power better analytics, experimentation, automation, and AI-assisted data workflows across Grab.

Get to Know the Role

The Senior Data Engineer role in the Metrics Platform team is a hybrid data and software engineering role. You will be an important member of the team that designs, builds, and operates Grab's metrics platform across metric serving, ingestion, metadata, query generation, platform APIs and several cross platform integrations. You will be responsible from technical design and implementation to rollout and production operations. You will contribute hands-on while guiding engineering quality through design reviews, operational improvements, and collaboration with partner teams.

You will report to the Senior Data Engineering Manager and will be based onsite at our office in Petaling Jaya.

The Critical Tasks You Will Perform

• You will build platform capabilities that help teams model, publish, discover, and consume trusted metrics and data products across Grab.
• You will develop and improve platform services, APIs, metadata systems, query generation, and tooling used by metrics publishers and consumers.
• You will collaborate with engineering, analytics, and data science teams to onboard new use cases and integrate their systems with the metrics platform.
• You will improve the developer and data practitioner experience by building self-serve workflows, automation, documentation, and operational tooling.
• You will operate and optimize the core metrics serving infrastructure, including Apache Pinot, ingestion systems, and related cloud services.
• You will investigate and resolve platform reliability, performance, and correctness issues across the request, query, metadata, and serving layers.
• You will provide technical guidance to engineers and partner teams on platform design, data modeling, integration patterns, and operational best practices.
• You will use AI-powered coding, analytics, and data engineering tools responsibly to accelerate development, debugging, documentation, testing, and data investigation.

• Lead and manage CSA construction activities
• Coordinate with design, engineering, procurement, and other construction disciplines to ensure seamless project execution.
• Review and validate CSA design documents, drawings, and specifications.
• Oversee site preparation, foundation, structural steel, concrete, architectural finishes, and cleanroom construction.
• Ensure compliance with local building codes, safety regulations, and environmental standards.
• Manage subcontractors and vendors, including scheduling, performance monitoring, and issue resolution.
• Conduct regular site inspections and quality audits.
• Track progress, manage change orders, and report on project status to stakeholders.
• Collaborate with internal teams and external consultants to resolve technical and construction challenges.
• Drive continuous improvement in construction methods, safety practices, and cost efficiency.

About the job   

• Acts as point-of contact for Input Operations processes  
• Act as secondary point of contact in the absence of team lead in managing E2E operational queries and deliverables  
• Act as the SPOC for all the queries/data investigations and managing the internal stakeholders on the assigned queries 

Responsibilities  

• 1st function IV - Input Validation level, Production flow, what kind of validation, overall flow of the production, how functions coordinate each other  
• Database management system - understanding; can see a broader picture of the function  
• Get data from different sources, data handling, data evaluation, data analytics  
• Data Production process, reports  
• what kind of output that needs to be impacted from the input approach  
• 60%/ 70% system knowledge; 40%/ 30% analytics  
• Focus on IV - should see a broader level, what can foresee/ view on data  
• In-house system/ execution system  
• Project implementation, research - getting input from RMS or different sources, data validatio

Get to Know the Team

1. Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform supports observability, real-time personalization, and business analytics by processing tens of billions of events per hour at petabyte scale.
2. Customer Data Platform (CDP) enables Grab Teams to onboard and register Grab's customer data and make it available for Online Serving, ML Models, Segmentation, and Real Time targeting to power personalization use cases across the company. Our platform is used across many mission-critical Grab services such as app personalization, experimentation, ads serving, and marketing.

Candidate will be considered for both teams within our org.

Get to Know the Role

We are looking for a Senior Software Engineer for either the Scribe or CDP team that that has multiple different technical stacks:

• Programming Languages: Python, Go, Scala
• Data Streaming & Processing: Kafka, Apache Flink, Apache Spark
• Data Infrastructure & Tooling: Event gateways, Schema validation tools, Instrumentation testing frameworks

You will report to Engineering Manager II in Singapore and work onsite at Grab Malaysia office.

The Critical Tasks You Will Perform

• Design and improve clickstream data pipelines—from event ingestion to insight delivery—and contribute to services/tools for understanding user behavior.
• Build scalable platform capabilities for user data onboarding, online serving, and real-time data pipelines/architecture.

As a Senior Finance Data Analyst, you will leverage your expertise to directly impact the strategy, growth, and financial operations of our 16 markets by delivering actionable insights and advanced analytics and reporting solutions. In this role, you’ll work as a critical thought partner with senior Finance and FinTech leaders to influence strategy, mentor junior analysts, and leverage AI to build the future of finance analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Financial Reporting and Analytics: Design robust internal and external reporting and measurement solutions for financial operations and FinTech initiatives ranging from projecting and/or evaluating the impact of campaigns to measuring the value of key FinTech partnerships.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key financial operations; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Stakeholder Engagement & Influence: Collaborate closely with senior finance partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how finance analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst and financial workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

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!

This Data Operation Analyst will be supporting Client Instruction Function (Output Validation). Responsible for instructions of client deliverables, coding and data validation focusing on specific industry/category or set of categories. To 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 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 and colleagues

As the world's largest research organization, NIQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy. The Job Responsibilities of a Data Science Intern: 

• Support the Data Science team in day-to-day activities, including data cleaning, validation, extraction, and basic analysis to resolve data queries.
• Collaborate with associates to develop new solutions, use cases, proof-of-concepts (POCs), and prototypes by exploring diverse datasets using tools such as Python.
• Assist in automating existing processes and developing enhancements, including proposing new data visualizations or improving current dashboards (e.g., Power BI).
• Build and maintain positive working relationships across teams, ensuring open communication and alignment to deliver against client expectations and satisfaction.
• Ensure adherence to company regional and global standards, compliance guidelines, and best practices at all times.
• Provide support for team initiatives and take on additional tasks or projects as assigned.

In this role, you will become part of the Performance Excellence Pillar. The role is intended to work on Quality escape, RCA, KPI, and strategic prediction by analyzing data countries/clusters. You will have the opportunity to lead continuous improvement projects, according to the requirements, and deliver the expected business impacts. You will be working closely with Process Engineers, BAU Leads, Transformation on compliance-related initiatives and local projects.

• Analyze and identify areas for improvement in BAU (Business as Usual) processes and drive convergence of processes and tools
• Identify and implement solutions that translate into standardization and process efficiency while balancing local BAU needs
• Evaluate, develop, and implement policies and procedures, mapping business processes, capturing and sharing best practices between the respective countries and regions
• Facilitate and organize improvement and problem-solving workshops, brainstorming with stream members
• Work with metrics and data to identify improvement opportunities, delivering data-driven analysis and business cases
• Cooperate with Global Enablement, Governance, Process Owners, and Operations leaders to ensure we maintain high-quality deliverables and our delivery standards are met or exceeded.
• Utilize the AI concept to streamline the process to gain the operation efficient.

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

Purpose of the role – mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators (KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes as well as strong production system processes for PoS. This role supports the China market.  

Key activities:  

• Methodology and Universe Studies: Design and manage universe studies, including project management.  

• Document methodologies for transparency and provide clear explanations of existing methods.  

• Review results of universe studies and insert changes in the POS Manager.  

• Conduct impact analysis of universe studies.  

• Design and simulate extrapolation setups for new panels and sign off on the designs.  

• Quality Assurance: Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.  

• Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).  

• Modeling and Extrapolation: Model missing retailers completely outside the system and maintain complex models.  

• Support the setup of modeling missing retailers in the system and hand over to Stat Ops for ongoing maintenance and execution.  

• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.  

• Quality Monitoring: Resolve Level 2 methodology clarification issues.  

• Monitor KPIs and conduct root cause analysis (RCA) for panel health, focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.  

• Define and specify improvement points for panel health.  

• Manage Lockout/Tagout (LOTO) procedures and ensure compliance across all contractors.
• Act as the primary liaison between construction, commissioning, and operations teams regarding energy safety.
• Review and approve energy isolation plans and permits.
• Conduct field inspections and audits to ensure adherence to safety protocols.
• Stop unsafe work practices and enforce OSHA and NFPA 70E standards.
• Monitor and report on energy usage and performance metrics.
• Validate mechanical and electrical system performance during commissioning.
• Assist in implementing energy-saving strategies and sustainability best practices.
• Maintain detailed records of energy control activities and compliance metrics.
• Train and mentor teams on electrical safety and energy isolation procedures.