Total 4,047 Others data entry job vacancies in Hong Kong

Allegis Global Solutions is the exclusive Contingent HR services provider for one of the world’s leading banks.

At Allegis Global Solutions we’re proud to be the leader in global talent solutions. We draw upon decades of industry expertise to develop innovative tools, products, processes and strategies focused on outcome.

Moreover, we’re incredibly proud to have built a culture that empowers our people to make their mark while making deep connections that will last a lifetime. With our passion and culture for talent, we are truly transforming the way the World acquires talent.

Our Client is one of the world's most international banks with over 1,100 branches, offices and outlets in 67 countries. They operate in some of the world's most dynamic markets and have been for over 150 years. More than 90 per cent of their income and profits are derived from Asia, Africa and the Middle East. Their brand promise, Here for good, underlines their distinctive approach.

JOB SUMMARY

Data Analytics & Reporting (Dashboard & Automation) Individual Contributor Role for Corporate Affairs, Brand & Marketing (CABM) – extracting and consolidating data from various sources (including social listening and web analytics tools), building interactive, advanced dashboards, and developing data pipeline for dashboard automation. Focused on key CABM activations and supports across business segments.

RESPONSIBILITIES

Business

Interactive Dashboard Creation (Advanced)

• Design and develop interactive dashboards (e.g. Tableau) to support campaign, event, and segment performance tracking
• Translate business requirements into clear dashboard structures, ensuring metrics are relevant, consistent, and easy to interpret
• Enable self-serve access for stakeholders by creating intuitive and user-friendly dashboard interface
• Continuously refine dashboards based on stakeholder feedback, evolving business needs, and data availability
• Support the standardisation of key metrics and definitions across dashboards to improve consistency in reporting

Unified Attribution Measurement

• Partner closely with teams and business to deliver a consistent view of attribution journey across marketing and digital touchpoints across the bank
• Work with cross‑functional stakeholders to integrate data from multiple platforms and channels, enabling an end‑to‑end view of the customer and campaign attribution journey.
• Apply knowledge of marketing technology stacks (e.g. Adobe or similar martech platforms) to support attribution measurement, data activation, and performance analysis.
• Translate complex attribution outputs into clear, actionable insights that support business decision‑making, optimisation, and enterprise‑level reporting.

Processes

Data Consolidation and Pipeline for Dashboard Automation

• Extract and consolidate data from multiple sources (including social listening and web analytics tools) to support consistent and reliable reporting across campaigns and activities
• Develop and maintain data pipelines to enable automated dashboard updates and reduce manual reporting effort
• Ensure data is organised in a way that supports timely upward and cross-functional reporting
• Work closely with data, technology, and business teams to align on data definitions, availability, and quality
• Support ongoing improvements in data accuracy, completeness, and accessibility for reporting use cases
• Experience working on data development projects within BI environments

Strategy

• Strong analytical and problem-solving skills, with the ability to translate complex data into clear, actionable marketing and brand insights

People &Talent

• Collaborate with stakeholders across CABM, Business Segments, and the Chief Data Office to support timely and relevant reporting on key activities and campaigns

• Manage multiple stakeholders to align on reporting requirements, priorities, and timelines

Risk Management

• Highlight potential data or delivery risks in a timely manner and support mitigation where appropriate

Governance

• Support adherence to data governance, sharing, and usage policies in line with internal standards

QUALIFICATIONS

• Bachelor’s Degree in Data Science, Engineering, Statistics, Physics, Mathematics or a related field
• Experience in supporting marketing or brand teams for data analytics & reporting (dashboard & automation)
• Proven experience extracting data from various sources (including social listening and web analytics tools) to build interactive, advanced dashboards
• Proven experience translating marketing data into advanced analytics and automated reporting solutions to improve performance tracking, efficiency, and insight quality.
• Proven experience across marketing and digital executions, applying attribution models and advanced analytics to evaluate effectiveness and optimise outcomes.
• Tableau, SQL is a must have; Social listening Tool: Meltwater/Brandwatch/Cision/Sprinklr – Good to have; Web Analytics Tool: Google Analytics – Good to have
• Experience working in a fast-paced, data-driven setting, ideally in banking/ financial services

You will be responsible for the end-to-end softwaredevelopment and support for all work related to Enterprise Data Warehouse (EDW)projects, quarterly change requests, L3 production fixes. This includessoftware product implementation and administration, application design,development, implementation, testing and support. You will be expected to workon Data team.

You will also be responsible for quality assurance of the team’s delivery inconformance with the Bank-defined software delivery methodology and tools. Youwill partner with other technology functions to help deliver requiredtechnology solutions.

• Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)
• Effectively partner with citizen data scientists in enabling faster adoption of AL/ML model based systems
• Independently install, customise and integrate software packages and programs
• Carry out POCs involving new data technologies
• Design and develop application frameworks for data integration
• Create technical documents such as solution design, program specifications for target solutions
• Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation Maintain and recommend software improvements to ensure a platform centric management of software applications
• Performance tuning
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

• Hands-on experience in implementing large scale data warehouse, Data mart & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:
• Experience in Data Modeling, Data mapping for Data Warehouse and Data Marts solutions
• Expertise in FSLM or similar industry models
• Expertise in Reference data management – Tools experience such as MDM (Master Data Management)
• Experience in functional domain - Retail , Wholesale, Compliance , Digital
• Experience in analytics - Retail Analytics
• Expertise in design of role based fine grained access control
• Designing cloud ready data solutions, Virtualization  

• Technical skillsets -ML Model operationalization, Building Data Pipelines and Hadoop based Data marts
• Expertise in implementing Big Data frameworks using multiple SQL engine such as Spark, Impala, Hive, etc
• Expertise in implementing Hadoop based Data mart using Spark based framework (Java, Scala, Pyspark)
• Leverage LLM model to build intelligent data applications (eg: Natural Language based SQL generation)
• Experience in end to end AI / ML life cycle (Data pipeline, model training, Model development, deployment, fine tuning, etc)
• Expertise in building Data federation solution(Trino, Presto, Dremio, Query Grid) along with Data caching / Indexing
• Experience in working with any of Data Catalog tools and Automating Data Quality checks using frameworks
• Good Working experience in core technical area using Python, Java, PySpark and Scala
• Expertise in Cloudera CDP components
• Good knowledge in developing Spark based ingestion framework (Java, Scala, Pyspark)
• Experience in building and operationalising feature pipeline to support AI/ML model execution, data pipelines for supporting large scale data warehouse/data marts

• Additional requirements - 2 to 3 technical certifications from enclosed list:
• Cloudera Hadoop distribution–Hive, Impala, Spark, Kudo, Kafka, Flume
• Teradata–Bteq, Query Grid, GCFR, MDM, TAS, Data Mover, BAR
• Informatica Data Integration – PC, IDR, BDM, MM, IDQ, EDC
• Data modelling tools (Erwin)
• QlikSense
• Microsoft – R
• Data science workbenches – Cloudera Machine Language, Jupyter, DataRobot, H2O.AI, IBM DSX
• Data Virtualization tool (Denodo, Dremio)
• AS400
• Language – SQL, Java, Python, Scala, Pyspark
• Automation / scripting – CtrlM, Shell Scripting, Groovy

About the Role
The Project Engineer will work closely with project leads, clients, vendors, and technicians to ensure smooth project execution from construction phase to data center handover.

Key Responsibilities

• He is responsible for monitoring, maintaining the Data Centre and coordinating the deployment, installation, and commissioning of data center infrastructure and IT systems, including power, cooling, fire suppression systems, and IT systems performance managing cabling works, server and network equipment setup, troubleshooting, and ensuring adherence to project timelines, quality standards, and safety requirements.
• He will need to manage end‑to‑end delivery of Data Centre projects, ensuring quality, safety, and compliance with local regulations.
• He will need to coordinate with internal teams, consultants and contractors to achieve project milestones and oversee project budgets, schedules and resources to ensure successful completion.
• After the completion of the projects, he will need to prepare project reports, documentation and updates for management and clients.
• He also needs to respond to alarms, faults, and emergency situations, and implement solution.

Requirements

• Diploma or Degree in Mechanical & Electrical Engineering, Building & Construction, or a related discipline.
• Min 4 years of Data Centre project experience is preferred and local project experience in Singapore is required.
• Strong hands-on technical capability on Data Centres, coupled with project planning and coordination skills.

• Prior hands-on experience in data center environments including rack & stack, cabling, patching, and hardware installation.
• Basic knowledge of data center cooling, airflow management, and power redundancy systems.
• Candidates with other mission‑critical or high‑spec project experience (e.g. hospitals, airports, large commercial builds) are welcome to apply.
• Ability to work in fast‑paced environments and deliver under tight deadlines.

• Some experience and knowledge of MEP equipment such as UPS, generator, Chiller, Pump, cooling tower is preferred

Ensure the accuracy, completeness, and consistency of customer data within the system by performing regular data cleansing, and validation checks. Ensure proper data entry protocols, duplication control, and timely updates, to support reliable reporting and effective decision-making.

Assist and optimize end-to-end customer service and sales workflows to improve efficiency, responsiveness, and overall customer experience. Assist sales manager to identify gaps and implement best practices, standard operating procedures (SOPs).

Assist and coordinate customer engagement by ensuring timely, accurate, and communication throughout the sales cycle. Support quotation process by standardizing templates, improving turnaround time, and ensuring pricing accuracy in agreement and alignment with customer requirements.

Our Research Scientists serve as the driving force behind our Innovations. We identify and target mechanisms or pathways involved in the disease process, and invent novel therapies to address unmet medical needs. This exceptionally COMPLEX task represents one of the most MULTIDISCIPLINARY endeavours in the field.

INNOVATION also thrives at that intersection of multiple disciplines! In this role as an Associate Director, Imaging and Omics AI Analytics Research, you will have the opportunity to work at that intersection of disciplines to shape innovation in biomarker sciences, influence pipeline decisions, and contribute to a research-driven environment with industry-leading expertise. This role is within our Biomarkers & Data Analytics team at our state-of-the-art research laboratory in Biopolis, Singapore.

If you are PASSIONATE about applying your expertise to address critical unmet needs and accelerate the discovery and development of new therapies, we invite you to join us in pioneering the future of biomarker research for the biopharmaceutical industry.

WHAT YOU CAN EXPECT:

• Opportunity to drive AI-ML/data science innovation at the intersection of multiple disciplines by integrating medical and disease biology, imaging & omics technologies, big data and biobanks.  

• Opportunities for engaging your innovative & creative mind to experiment with new ideas and approaches.

• A supportive working environment that fosters career growth and continuous learning.

WHAT YOU WILL DO :

You will spearhead the research and development of AI/ML algorithms to analyze multimodal medical images (e.g., MRI, CT, OCT), digital pathology and spatial-omics data, as well as molecular biomarkers and other omics datasets, with the goal of discovering and deploying novel biomarker solutions.

You will shape these efforts by collaborating with cross-functional teams to identify key research questions and develop robust AI/ML pipelines for integration into our applications, enhancing biomarker and data analytics solutions for various diseases, including cardiometabolic, immunological, and neurological conditions.

You will partner with internal teams of experts, external research institutions, and technology vendors to identify and access state-of-the-art AI/ML technologies and drive innovation to achieve significant outcomes. One key aspect of your role will be contributing to the development of reusable software/analytics pipelines that serve as foundational AI/ML capabilities, which can be integrated across various applications.

As a result of these initiatives, you will play a crucial role within the team that harnesses big data (such as Biobank, real-world data, and electronic health records) and data science to support both reverse and forward translation. Your efforts will contribute to transforming insights from medical and disease biology into biomarker solutions that enable decision-making in our drug development programs.

In this role, you will present our AI/ML technology and algorithms to a variety of stakeholders, including project teams, senior management, and external partners. You will also author project proposals and technical reports as part of your responsibilities.

Working at the cutting edge of AI/ML technology for pharmaceutical drug discovery and development offers you the opportunity to present and publish your findings, contributing fresh perspectives and diverse viewpoints that can shape the future of the industry.

WHAT YOU MUST HAVE:

You are required to have a PhD in Computer Science, Data Science, Engineering, Physics or a related discipline, along with over 5+ years of experience in applying AI/ML technologies to solve biomedical research questions. Alternatively, a master’s or bachelor’s degree in these areas with 10+ years of relevant experience will also be acceptable.

You are required to have a strong background in machine learning, deep learning, and various advanced neural network architectures (e.g., CNNs, RNNs, GNNs, and Transformers), key learning paradigms (supervised/self-supervised/unsupervised learning, GANs, diffusion modeling etc) and foundation models/LLMs for applications in large-scale medical imaging, omics, and text/EHR data analytics (e.g., for bigdata/biobank applications).

You should possess significant hands-on experience with modern programming languages (e.g., Python, R, Java, JavaScript), ML/DL frameworks (e.g.,  scikit-learn, PyTorch, CUDA, TensorFlow), cloud computing services (e.g., AWS, Azure, Google) and common ML engineering platforms/tools (e.g., MLFlow, Spark, Databricks, Dataiku).

You are required to have understanding of medical imaging modalities (e.g., MRI, CT, PET). It will be an advantage for you to have expertise in image processing techniques (such as image segmentation, registration, and feature extraction) and familiarity with tools like ITK, SimpleITK, OpenCV, or similar frameworks.

It would be ideal for you if you have knowledge in cardiometabolic, immunological, and/or neurological disease biology. However, more importantly, you are expected to demonstrate a strong interest in learning the key concepts in disease biology and in applying that knowledge to drug discovery and development in pharmaceutical R&D.

Your leadership skills in building partnerships and leveraging relationships within and across work groups, along with your ability to engage and persuade others to gain acceptance of ideas & foster commitment, will be critical for unlocking the potential of our talents and investments.

Your proficiency in identifying and understanding problems and opportunities through the analysis of quantitative and qualitative information; choosing the best course of action by establishing clear decision criteria; evaluating alternatives and making timely decisions —will be crucial to your leadership skills required for success in shaping our future.

Finally, your ability in facilitating change by encouraging others to implement better approaches and leading the implementation of change within the workplace; along with creating novel solutions that provide measurable value and experimenting with new ways to address work problems, will be vital for driving innovation and deliver impact.

WHO WE ARE

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science” and that great medicines can make a significant impact to our world. And we believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.

WHAT WE LOOK FOR

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us — and start making your impact today.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

Key Responsibilities: 

• Pre-sales support: Work closely with sales and delivery team to define, demonstrate, build solution and estimate for a potential opportunity. 

• Providing vision on industry trends and client challenges to develop compelling value propositions for prioritized industries 

• Developing Go-To-Market approaches for the Singapore/APAC Cluster across geographies and industries, aligned with NTT DATA Group’s Data & AI portfolio and offerings 

• Supporting the Sales League in identifying both target customers and relevant Data & AI solutions to enhance sales performance 

• Engaging in client discussions, identifying new opportunities, and driving them with Sales Teams 

• Augmenting Sales Teams for effective pre-sales activities (e.g., customer engagement pitches, solutioning, proposals) 

• Leveraging the most appropriate global capabilities (e.g., Centers of Excellence, Global Delivery Centers, and local practices), assets, delivery models, and methodologies to deliver optimal sales and delivery solutions 

• Differentiating NTT DATA’s Data & AI customer proposals through innovation, leveraging Group capabilities (e.g., AI Labs, Innovation Centres, Robotics Lab, Research Centres) 

• Bridging market demand with skill supply plans, contributing to the development of short- and long-term recruitment and reskilling strategies to support growth 

• Compiling and implementing development plans for Migration/upgrade of Data and AI platform. 

• Ability to guide the development team on the design, testing, and modification stages. 

Knowledge and Attributes: 

• At least 10 years of experience in consulting and/or IT services; 

• Having led data-driven projects with direct connection to business outcomes: data platform with modern technologies (Azure, AWS, Google, Snowflake, Databricks); data government projects (Informatica, Collibra, Azure Pureview); AI projects (Custom ML/AI models, Gen AI, Agentic AI); 

• Experienced in strategic selling of Data and AI solutions in Singapore. 

• Being talented to blend Business perspective and Technological solutions; 

• Relevant CxO relationships, preferably in Singapore, both towards business and IT stakeholders; 

• Knowledgeable of Data & AI market dynamics; 

• Fluent in English with excellent communication/oration skills. 

Academic Qualifications and Certifications: 

• Bachelor's degree or equivalent in information technology/systems or Equivalent. 

• Hands on experience in any of Data and AI platforms. 

• Prior Pre-sales experience with systems integration (SI) organization is preferred. 

Required experience: 

• Advanced track record as a developer and architect of new systems/solutions. 

• Advanced client engagement and development consulting experience. 

• Advanced experience managing expectations when balancing alternatives against business and financial constraints. 

• Advanced experience in a variety of architectures for specific domain or specialization. 

• Advanced designer and development know-how. 

• Advanced experience presenting technical solutions to non-technical audiences. 

• Advanced experience working in an agile development environment. 
  Having led data-driven projects with direct connection to business outcomes: data platform with modern technologies (Azure, AWS, Google, Snowflake, Databricks); data government projects (Informatica, Collibra, Azure Pureview); AI projects (Custom ML/AI models, Gen AI, Agentic AI); 

We are looking for a

Data Center Engineer

 to support 24/7 operations at a leading client site (SG4) in Singapore, with occasional exposure to Taiwan DC.