Total 85 Others/Any job vacancies

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.

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

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.

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.

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.

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 

Job Description:
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. 

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. 

What a Data Scientist, VCA does at Visa:
We are looking for a Data Scientist to join our VCA team in Malaysia. This role requires transforming raw data into actionable insights that drive business strategies, improve execution and performance of the full cardholder lifecycle. 

The ideal candidate will work closely with Visa’s clients to gather and manage project inputs, analyze data to form conclusions and recommendations, execute and analyze results to improve outcomes. 

Key Responsibilities:

• Lead, execute, and deliver data science projects for Visa's key clients. 
• Develop project scopes, methodologies, and implement solutions using appropriate tools. 
• Understand the Client’s current initiatives and priorities and align with key stakeholders.
• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations. 
• Gather and analyze data from VisaNet (i.e., Visa’s transaction data), client’s owned data and 3rd party data sources to understand customer behavior, preferences and trends to help business develop business strategies, optimization activities and improvement of products, marketing techniques. 
• Maintain quality control and documentation for projects. 
• Innovate with Visa's and client data to meet needs. 
• Clearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impact. 
• Independently develop and articulate a compelling storyline with clear insights and actionable recommendations for clients. 
• Actively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clients. 
• Structure documents and project deliverables leveraging data insights and client inputs. 
• Foster thought leadership and innovation in data science. 
• Manage communication with clients and stakeholders. 
• Identify opportunities for innovation using new techniques. 
• Build visualization capabilities to address client problems. 
• Identify market trends through deep analysis of payment industry information. 
• Manage the transfer of technical knowledge for business solution implementation. 

Client Management: 

• Manage and take ownership of all data-related client deliverables and discussions 
• Navigating complex team dynamics 
• Work independently, seeking guidance as needed while ensuring ownership 
• Influence multiple teams they work with or lead

*This is a hybrid position, expectation of days in the office will be confirmed by your Hiring Manager. 

ABOUT US:

PolicyStreet Group is a full-stack insurance technology (insurtech) group of companies providing digital insurance solutions to businesses and consumers across Asia and Australia.

The Group operates through multiple entities across its key markets and business lines, including its insurance distribution, embedded insurance, and reinsurance arms. It partners with over 40 insurance and takaful providers globally to deliver employee benefits and group insurance solutions, insurance aggregation services, and digital infrastructure that simplifies insurance.

PolicyStreet Group is backed by leading venture capital firms Altara Ventures and Gobi Partners, as well as sovereign wealth funds Khazanah Nasional Berhad and Cool Japan Fund. The Group serves over 10 million customers with more than US$10 billion in sum insured. It was featured in the Financial Times and Statista’s Top 500 High-Growth Companies Asia-Pacific 2026 list and named “Most Disruptive Insurtech in Malaysia” at the Insurance Asia News (IAN) Country Awards for Excellence 2025.

WHAT YOU’LL DO:

• Handle insurance policy issuance, including generating accurate quotations and preparing cover notes within set timelines.
• Work closely with customers to gather required documents and ensure a seamless policy issuance process.
• Carefully review documents and cover notes for accuracy and completeness, enabling timely policy activation.
• Coordinate with insurance providers to follow up on pending approvals and ensure smooth processing.
• Manage customer accounts, addressing inquiries and maintaining satisfaction with our products and services.
• Contribute to team efforts by meeting sales and renewal targets.

WHAT WE EXPECT OF YOU:

• Minimum diploma in business, communications, or a related field.
• At least 2 years of experience in a customer service role, preferably handling email and WhatsApp communications.
• Proven hands-on experience in insurance issuance is a must.
• Experience in the insurance industry is a strong advantage.
• Strong attention to detail and excellent organizational skills.
• A customer-focused mindset with strong communication and problem-solving abilities.
• Self-reliance and adaptability to handle responsibilities independently.
• Leadership potential and a desire to grow into a people management role.

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.