Total 4,022 data entry job vacancies in Information Technology category in Singapore

The Data Project Manager is responsible for leading and managing projects related to data analysis, data management, and data integration. They work closely with cross-functional teams to ensure the

successful execution of data projects, meeting project objectives, timelines, and budgetary constraints. The role requires strong project management skills along with a deep understanding of data-related technologies and methodologies.

Responsibilities:

Project Planning and Execution:

• Define project scope, objectives, and deliverables in collaboration with stakeholders.
• Develop detailed project plans, schedules, and timelines.
• Allocate resources, including personnel, budget, and equipment, to ensure project success.
• Monitor project progress, identify potential risks, and implement mitigation strategies.
• Ensure adherence to project management best practices and methodologies.

Stakeholder Management:

• Engage with internal and external stakeholders to gather project requirements and expectations.
• Communicate project status, updates, and risks to stakeholders regularly.
• Manage stakeholder expectations and address any concerns or issues promptly.
• Foster positive relationships with stakeholders to ensure alignment and support for project goals.

Team Leadership and Collaboration:

• Lead and motivate cross-functional teams to achieve project objectives.
• Delegate tasks and responsibilities effectively, ensuring each team member understands their role.
• Foster a collaborative work environment that encourages knowledge sharing and innovation.
• Provide guidance, coaching, and mentorship to team members as needed.

Data Management and Analysis:

• Oversee data collection, processing, analysis, and interpretation activities.
• Ensure data quality and integrity throughout the project lifecycle.
• Collaborate with data scientists, analysts, and engineers to develop insights and actionable recommendations.
• Utilize data management tools and technologies to streamline processes and improve efficiency.

Risk Management and Quality Assurance:

• Identify potential risks and issues that may impact project outcomes.
• Develop risk mitigation strategies and contingency plans.
• Conduct regular quality assurance checks to ensure project deliverables meet established standards.
• Implement corrective actions as needed to address deviations from project plans.

Key Skills:

AS/400, UNIX, WinNT, etc, running Production and Development environments

Job Objectives

To join a team of computer operators, performing 24 x 7 shift duty on rotation, responsible for running day-to-day computer operations and performing helpdesk functions in our Data Centre which runs multi-platform systems on Mainframe, AS/400, UNIX, WinNT, etc, running Production and Development environments.

Key Responsibilities

· Monitor various monitoring facilities for software and hardware including operating systems, application systems, ATM and network equipment, and react to exceptions in accordance to Standard Operating Procedures

· Monitor application job flow which are scheduled by job scheduling software, and react to exceptions in accordance to Standard Operating Procedures

· Perform reports printing and distribution

· Manage IT-related incidents and problems reported via phone call or e-mail from UOB staff

· Maintain Incident Logs for incidents and problems for all software, hardware and applications being monitoring

· Perform job submission, backup, recovery and restart in accordance to SOP or approved ad-hoc requests

· Perform first-level system and batch problem determination and resolution only, and escalation to second and third levels in accordance to Standard Operating Procedures

Key Requirements

· Minimum Degree in IT or Computer Science from a recognized polytechnic/institution

· Minimum 5 years of working experience in relevant work area

· Experience in operating at least 3 of these platforms: AS400, Mainframe, Unix/Linux and Windows

· Proficient in using MS Office Suite of products

· Proficiency in Excel macros, pivot tables and charting is a plus.

· Good communication and interpersonal skills and proficient in English Language

· Proven ability to work independently and under pressure

· A good team player

Job Purpose

We are seeking a highly motivated and talented Platform Admin Lead to manage the data platform admin team for the smooth business operations and supporting the hybrid data platform with primary focus on big data platform, data visualization tool, ETL tool and data science tool.

Job Description

• Lead the team to manage data platforms to meet the organization's needs. Take overall accountability of the administration and operation of data platforms.
• Configure and administer data platforms including security, performance, and scalability.
• Create and manage user accounts and permissions, as well as manage access to data sources in data platforms.
• Monitor and troubleshoot data platform performance and resolve any issues that arise.
• Plan and execute upgrades, patches, and maintenance for data platforms.
• Develop and implement backup strategies for data platforms.
• Collaborate with IT teams to ensure the data platform infrastructure integrates with other systems and platforms.
• Create and maintain documentation for data platform SOPs.
• Support the integration of data platforms to the ecosystems.
• Perform POCs of new capability in data platforms.
• Aligning with the systems engineering team to propose and deploy new hardware and software environments required for data platforms and to expand existing environments.
• Responsible for working closely with the database team, network team, BI team and application teams to make sure that all the big data applications are highly available (24x7) and performing as expected.
• Responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the platforms.
• Monitor (24x7) server performance, connectivity and security.
• File system management and monitoring.
• Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.
• Collaboration with application teams to install operating system and updates, patches, version upgrades when required.
• Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
• Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
• Highlights any potential concerns /risks and proactively shares best risk management Practices.

Skills Requirement

• Bachelor’s degree in Computer Science, Information Systems, Engineering or a related field.
• Overall 12 - 15 years of experience in platform implementation and administration with mandatory 8 + years of hands-on experience in managing big data platforms.
• Deep understanding of OS concepts, process management and resource scheduling.
• Deep understanding of networking, CPU, memory and storage.
• Good hold of shell scripting.
• High level of integrity, takes accountability of work and good attitude over teamwork.
• Takes initiative to improve current state of things and adaptable to embrace new changes.

Job Description:

• Collaborate with stakeholders to understand needs for actionable insights
• Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
• Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
• Provide rationale, business cases and ROI models to support investment
• Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
• Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
• Support the rollouts, upgrades, implementation and release of analytics system changes
• Ideate intelligent algorithms to operate on large data sets
• Keep abreast of existing and emerging scientific principles/theories/techniques
• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective and identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
• Provide advice on high-level Advanced Analytics solution designs.
• Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
• Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements / Qualifications

• PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
• At least seven (7) years’ experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
• Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
• Proficient in tools such as R/SAS/SPSS/Python.
• Excellent communication, relationship skills and a strong team player.
• Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
• Experience with

1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
3. data interrogation techniques (e.g. SQL, NoSQL).
4. structured and unstructured data analytics.

• Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
• Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
• Advance knowledge of Excel features and techniques required for the presentation of data
• The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• A good understanding of Singapore Healthcare System
• An understanding of healthcare data governance, data acquisition and data management would be an advantage.
• Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

• Develop and maintain scalable data pipelines, automating data flows and ensuring efficient data transfer between
systems.
• Create and maintain data connectors via APIs, enabling seamless integration across various data sources.
• Manage and optimize Google BigQuery for data warehousing, ensuring the quality and integrity of data from
capture to reporting.
• Leverage technologies such as Python, R, Airflow, and dbt for data orchestration, analysis and automation.
• Collaborate with cross-functional teams, including IT, Digital Learning, and divisional teams, to streamline processes
and establish data management best practices.
• Assist with the development of interactive data dashboards in Looker Studio and other visualization tools, providing
insights for faculty, staff, and management.
• Design and implement data visualizations, ensuring adequate, accurate, and legitimate data collection techniques.
• Maintain updated documentation and manage change processes for data systems, adhering to data governance
standards.
• Stay updated with the latest technological trends in educational software and data systems, recommending and
adapting new solutions.
• Serve as the main point of contact between data owners, identifying data issues, and providing technological
solutions.
• Assist in project management, including formulating strategies for effective data use and producing knowledge
base and training materials.

Qualifications
• Degree in Computer Science, Data Science, Data Engineering, or a related field, with relevant certifications.
• At least two years of experience in data automation and engineering, with a portfolio that includes academic
projects or work.
• Proficiency in data engineering and automation technologies, including advanced SQL, JavaScript, CSS, HTML, and
version control systems like Github or SVN.
• Experience with data visualization tools like Looker Studio and data warehousing tools such as BigQuery.
• Understanding of various database types (Relational, NoSQL, etc.), and OLAP/OLTP systems.
• Familiarity with machine learning and predictive analytics is highly desirable.
• Strong analytical skills, with the ability to resolve technical issues systematically.
• Excellent verbal and written communication skills, with a positive and growth mindset.
• Ability to work independently, maintain confidentiality, and manage time effectively.
Contacts
• Students, Staff and Vendors

Working Conditions
• School Environment
• Working hours 8am to 5pm, Monday to Friday

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

5 days, Permanent, Eunos

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· 60% hunter and 40% farmer in prospecting for corporate clients who needs to build new / maintain existing data center.

· Active prospecting, identify sales opportunity.

· High technical proficiency in identifying b2b corporate client need

· Collaborate with all parties from plan, design, to project delivery.

· Maintain good relationship with client through period visit for servicing and upselling opportunity

Requirement

· Min diploma in mechanical/electrical engineering

· Have existing good contact with business owner, Consultant, Level1 Builder

· 3 years sales experience of data center M&E infrastructure service/ data center related equipment.

· Able to work in bilingual environment.

Work location : Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified

Permanent, 5 days, Eunos

Our client:

A reputable M & E infrastructure company that design, build n maintain data Centres n company server room

Job Scope

• Negotiate, procure materials, equipment and labour in accordance to the allocated budget
• Liaise with relevant authorities/subcontractor/clients/suppliers on maintenance, repair & T&C job
• Ensure MOS (Method of statements) & RA (Risk assessment) document are implemented n adhered to
• In charge pf day-to-day data center technical operations (Exp: routine servicing, maintenance & T&C processes) remote/ onsite
• Troubleshoots data center electrical/ACMV/ fire protection system/ UPS/ Security System.

Requirement

· Diploma/Degree in Engineering related field

· 3 years’ experience of troubleshooting n repair work for building M&E Infrastructures services

· 3 years’ experience in building M&E infrastructuremaintainence operation

Added advantage:

Experience of uninterruptible power supply (UPS) or Electrical Boards

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Manager to join our Corporate R&D Center. The manager will lead the newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. To improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

• Lead the AI team that deliver high quality data science solutions and AI/ML infrastructure to support new product development (NPD) in TE
• Lead the team to adopt cutting-edge data science techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to solve engineering problems (such as material formulation, manufacturing process, product design, etc.) based on experimental and simulation data sets.
• Collaborate with multi-discipline specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
• Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
• Partner with Singapore research institutes and universities to develop advanced AI techniques.
• Develop and execute the roadmap and strategy of AI
• Manage portfolio of projects to drive completion of tasks and ensure timely delivery of high-quality results that reduce cost, speed time to market and increase quality.
• Enhance the awareness across TE of the AI capabilities of the Singapore AI Hub and promote the democratization of AI in TE at the enterprise scale.

Job Requirements:

Required:

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred:

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.)
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages

Key Responsibilities:

• Collaborate with business analysts to develop business requirements and translate them into technical solutions.
• Analyze and define tasks, data flows, and dependencies to ensure efficient project execution.
• Identify and communicate design and scope issues to stakeholders, providing recommendations for resolution.
• Conduct design reviews and oversee quality assurance functions for information delivery applications, ensuring adherence to project requirements and standards.
• Create technical deliverable artifacts needed for project implementation, including documentation, code repositories, and data models.

Must-Have Skills:

• Proficiency in machine learning algorithms and deep learning algorithms.
• Strong knowledge of statistics for data analysis and modeling.
• Highly proficient in Python programming for data manipulation, analysis, and modeling.
• Experience with SQL for data querying and manipulation.
• Hands-on experience with AWS Cloud services for data storage, processing, and analysis.

Good-to-Have Skills:

• Experience collaborating with business analysts to develop business requirements.
• Ability to analyze tasks, data flows, and dependencies to ensure project efficiency.
• Strong communication skills to articulate design and scope issues to stakeholders.
• Experience conducting design reviews and overseeing quality assurance functions.
• Ability to create technical deliverable artifacts for project implementation.

The Role:

In 2024, the global data team is actively scaling up, and we're eager to explore more talents to join our R&D centers in Singapore and Shanghai. Your contribution will play a pivotal role in steering the data team into the next step - the era of AI in Airwallex.

As a data engineering expert, you'll delve into various facets of data engineering, starting from end-to-end data modeling to writing DBT, enhancing data content, and exploring underlying aspects such as Flink ETL. If you're intrigued by the realm of AI, we wholeheartedly encourage our team members to engage in the journey of AI projects, from conception to fruition.

Join us in shaping the future of finance through innovative data solutions!

Responsibilities：

• We expect you to possess a solid understanding and experience in both the foundational aspects of data engineering and data content. An interest in end-to-end work and topics related to AI is highly desirable. As our data team is distributed across different regions, we value candidates with a global perspective and excellent English communication skills.
• Work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.
• Develop and automate large-scale, high-performance distributed data processing systems (batch/ streaming) to drive Airwallex business growth and improve the product experience.
• Evangelize high-quality software engineering practices toward building data infrastructure and pipelines at scale.
• Lead data engineering projects to ensure pipelines were reliable, efficient, testable, and maintainable and were largely in charge of architecting solutions.
• Design our data content models for optimal storage and retrieval and to meet critical product and business requirements.
• Contribute to shared Data Engineering tooling standards to improve the productivity and quality of output for Data Engineers across the company.

Requirements:

• Over 5 years of hands-on experience in the dynamic field of data engineering.
• Hold a Bachelor's or Master's degree in CS / CE / CIS or possess equivalent expertise, showcasing proficiency in Kotlin, Java, Scala, Python, and SQL. Familiarity with Spring Boot, Spark, Flink, Hadoop, BigQuery, and Snowflake is a plus.
• Expertise in crafting robust processes that underpin data transformation, and manage data structures, metadata, dependencies, and workloads.
• Possess a strong command of Real-time and Batch-processing systems.
• Proven track record of conducting in-depth root cause analysis on internal and external data and processes, addressing specific business inquiries, and identifying enhancement opportunities.
• Exceptional analytical skills, particularly in handling unstructured datasets.
• Demonstrated ability to take charge of designing, constructing, and maintaining distributed systems, while establishing an overarching data architecture.
• Excellent written and verbal communication skills, facilitating seamless collaboration across teams in both Mandarin and English.

Tech Stack:

• SQL, Python, Spring boot, Spark, Flink, Hadoop, BigQuery, Snowflake, Airflow
• Plus - Java, Kotlin

About the function

In order to be a successful Technical Lead at Accenture, you’ll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with managing, transforming and cleansing high volume data, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. We’re looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team. Being Agile is an integral part to the success we have at Accenture and leading regular team sprints and Scrum meetings with your engineering team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our clients expectations and delivering a first-class service. We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every employees goes through our training academy so they’re comfortable and confident with using our platform

Key Responsibilities:

• Leading a team and mentoring junior engineers.
• Guiding team members through technical issues and challenges.
• Ensuring that engineers are following best practices and standards.
• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements:

• Must have: Quantexa Data Engineer Academy certification.
• Minimally 8 years of Data Engineering experience
• Good time management and prioritizations skills to balance engineering, team management and customer facing responsibilities.
• Good communication skills and experience working with different customers, partner organisations and cultures.
• Proven big data experience, either from an implementation or a data science prospective.
• Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Responsibilities:

1. Azure Data Platform Design and Implementation:Collaborate with cross-functional teams to understand data requirements and design scalable Azure data solutions.
   Implement and optimize data storage, processing, and analytics solutions on Azure, leveraging services such as Azure Data Lake Storage, Azure SQL Database, and Azure Synapse Analytics.
2. Infrastructure as Code (IaC) with Terraform:Develop, maintain, and enhance Terraform scripts for automating the provisioning and configuration of Azure infrastructure components.
   Ensure IaC best practices are followed to achieve consistency, repeatability, and version control in infrastructure deployment.
3. Data Security and Compliance:Implement security best practices for Azure data services and infrastructure components.
   Ensure compliance with data governance policies and industry regulations.
4. Performance Optimization:Monitor and optimize the performance of data platform components to meet scalability and efficiency requirements.
   Troubleshoot and resolve performance issues in collaboration with the operations and support teams.
5. Collaboration and Documentation:Collaborate with data engineers, architects, and other stakeholders to understand data requirements and provide technical expertise.
   Create and maintain comprehensive documentation for data platform architecture, configurations, and processes.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum 8+ years of experience
• Proven experience as a Data Platform Engineer with a focus on Azure services.
• Strong proficiency in Terraform for automating infrastructure deployment.
• In-depth knowledge of Azure data services, including Data Lake Storage, Azure SQL Database, and Synapse Analytics.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with data security and compliance standards.
• Excellent problem-solving and troubleshooting skills.
• Effective communication and collaboration skills.

Preferred Skills:

• Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect).
• Experience with other infrastructure as code tools and technologies.
• Knowledge of DevOps practices and CI/CD pipelines

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 6,800 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

Cheil is expanding and we are inviting candidates to join our new and growing Data-Driven Marketing Solutions team. Reporting to the Digital strategy director, We are seeking a talented and experienced Data Analyst to join our team and play a pivotal role in analyzing and optimizing the performance of Samsung.com, one of our key clients. The ideal candidate will have a strong background in data analysis, with expertise in Adobe Analytics and a passion for leveraging data-driven insights to drive strategic decision-making:

Data Analyst

Responsibilities:

· Utilize Adobe Analytics to track, measure, and analyze key performance metrics for Website and Application, including but not limited to traffic, user behavior, conversion rates, and campaign performance.

· Use additional analytics tool like GA4 or Appsflyer to track the specific performance of Application

· Conduct an analytics tagging audit by using the relevant debugging solution to validate if all events and visits are properly tracked by Adobe Analytics

· Develop and maintain dashboards and reports to provide actionable insights and recommendations to internal stakeholders and the client.

· Conduct in-depth analysis to identify trends, patterns, and opportunities for optimization, with a focus on improving user experience, conversion rates, and overall site performance.

· Collaborate with cross-functional teams including digital marketing, web development, and client services to implement data-driven solutions and drive continuous improvement.

· Automate a manual analytics process by using the advanced excel formula, and programming languages like Python and SQL if possible

· Stay abreast of industry trends, best practices, and emerging technologies in web analytics and digital marketing to inform strategic recommendations and enhance performance

Requirements:

· Minimum 5+ years’ experience in a full set of Adobe Analytics and other web analytics tools.

· Proven experience in data analysis, preferably in a digital marketing or e-commerce environment.

· Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.

· Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.

· Detail-oriented with a focus on accuracy and quality of work.

· Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Preferred qualifications:

· Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

· Leading experience for analytics teams before

· Experience with SQL, Python, or other programming languages for data analysis.

· Knowledge of digital marketing concepts and strategies.

· Experience working with e-commerce platforms such as Shopify, Magento, or WooCommerce.

· Certification in Adobe Analytics or related field.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

• Oversee and manage daily operational activities to ensure smooth and efficient workflow.
• Analyze existing operational processes to identify areas for improvement and implement process optimization strategies.
• Digitize, automate and implement operational policies and procedures to maintain consistency and compliance with quality standards.
• Monitor operational performance metrics to track progress,
• Collaborate with cross-functional teams and external partners , including production, logistics, sales, and customer service, to streamline processes and resolve operational issues.
• Prepare and present operational reports to teams and management, highlighting key metrics, trends, and recommendations.
• Compilation all reports sent and review for accuracy for information as part of operational set up with Partners New Business services

Requirements:

• Proficient in Excel and Tableau
• Able to extract data, chase and pull together reports

JANE LUI JIE'EN

Personnel EA Registration Number: R1104482

Recruit Express Pte Ltd EA Licence No: 99C4599

Department: Regional Design

Job Title: Senior Technical Director

Location: Singapore

Qty: 1

Job Responsibility

· Responsible for the lead of the regional design team. This team takes responsibility for leading all the design work for the data centers located in APEC, the team members are based in the APEC area either. Comprehensive management of the design work for all the projects.

· Responsible for the Data Center’s design, especially leading & managing the design of the new hyper-scale data center in APEC. Ensuring that all design/ consultant work performed is in accordance with established practices, procedures & internal technical standards. Being the project design manager, following up on the project schedule and strategy, supporting the project manager to complete the project.

· Responsible for the technical evaluation/support for new site selection in the APEC.

· Responsible for the regional /local procurement technical support. Ensuring that all the technical performance meets the technical requirements of the project and the company’s internal standards specification. Technical support for the cost optimization & control of the project.

· Responsible for leading the research of advanced technology in the data center area, analyzing the possibility of application of the new technology. Developing and revising the internal data center technical standards and applying the standards to each data center.

· Responsible for the Technical support for procurement of the main equipment, ensuring all the equipment’s parameters can satisfy the technical requirements from the company’s internal standards specifications.

· Responsible for technical support to the project execution in APAC.

· Responsible for the technical support of the sales of the data center. Study & analyze the potential customer technical requirements and support the sales to find the customer.

· Assist in the design, implementation, commissioning, and build-out of new facilities; and assist in the operation of the facility as the high-level technical support.

Basic Qualifications

· Bachelor’s degree in electrical/mechanical.

· 15+ years or longer data center relative working experience as the designer/consultant or the data center owner, understanding the data center’s overall technical requirements and the design process.

· Proven experience in the lead/management of the designer/consultant in the data center field.

· Experience in remote team member management and understanding different cultures. Proven leadership and organizational skills, good communication skills with different backgrounds team members.

· In-depth knowledge of Data Center critical facilities and systems, including IT power systems, utility power systems, mechanical cooling systems, etc.

· Knowledge of international technical standards and practice for data centers; and the data center technology trends and advanced technologies

· Flexibility with different cultures and environments, with team spirits. Fluently speaking, writing & reading in English.

· Ability to prioritize in a complex, fast-paced environment.

· Accept international/local short-term business travel.

Preferred Qualifications

· Experience as the design team leader in the data center field, especially for the international data center owner.

· International hyper-scale Data Center engineering experience.

· Degree of Master's or above.

· Experience in site selection of the hyper-scale data center.

· Engineer Certification, or Professional Engineer license.

Clinic Administrator (back-end)

Location: 3 Mount Elizabeth, Mount Elizabeth Medical Centre

Working Days: 5.5 days

Working hours : 8:30am - 5:30pm , 8:30am - 1:30pm

Salary : $2,300 - $3,000 [ depends on experience ]

Job Scope

• Attend to walk in patients and answering of phone calls
• Support frontline counter duties
• Assist in registration of patients and scheduling of appointments
• Assist in dispensing medicine
• Cashier duties
• Assist medical professionals in clinic daily operations
• Data Entry
• Other ad-hoc duties as assigned

Job Requirement

• At least 2 years of working experiences
• Candidate must possess at least a GCE 'O' level.
• Computer literate and proficient in basic computer software

The Supreme HR Advisory Pte Ltd || 14C7279

R22111009 Cheng Kai Ling

The Role Responsibilities

Job Role

Support the Product Owner with the activities required for reducing risk and sustaining the low-risk environment in relation to Privacy, Record Keeping and Data Sovereignty risks. These activities include but is not limited to

· Successful and timely Delivery of associated Risk Treatment Plan (RTP).

· Implementation of the Standards in BAU.

· Execution and maintenance of the controls / frameworks required for compliance with the Standards, regulations and sustenance of the low-risk environment.

· Collaboration with Central Data Office (CDO) and Data Shield Programme (DSP) to roll out centralised enablers that aids with risk reduction and / or Standards Implementation.

Strategy

This role is positioned to support the Product Owner of the Data Risk Squad in enabling Client Coverage to achieve compliance with the Bank’s Data Management Standards and associated regulations.

Business

· Develop a deep understanding of the current state of CCIB Client Coverage’s data, processes and systems.

· Drive completion of key milestones for Client Coverage in accordance with the data risk objectives, which may include but is not limited to, delivering the Risk Treatment Plan, completing the required remediations and implementing the relevant Standards in BAU.

· Performs Data Discovery exercise for all the Data standards and complete mandatory artefacts (Data Discovery Templates, Data Flowchart, Data Inventory, etc).

· Performs Gap Analysis of current state against the requirements in the Data Standards.

· Coordinate reviews and sign-off with relevant stakeholders such as Group Process Owner (GPO), Country Process Owner, Risk Framework Owner (RFO), Operational Risk (OR) and more.

· Conduct and Lead Business Impact Assessments on the business and process from the tools / enablers that the Central Data Office (CDO) team delivers to CCIB CC.

· Design Target Operating Models to conform to Data Standards, identity business solutions to meet the requirements in a complex process and technology environments, validate impact assessment and drive implementation plan.

· Deliver key Change Management outcomes including Operational design, Communications, Learning, Operational Readiness and Operational Guidance to embed Data Management Standards for end user communities.

· Effectively engage senior business stakeholders across geographies -Strong communication skills and ability to tailor complex content to stakeholder audiences.

· Build strong and effective relationships with programme and business counterparts.

· Proven experience in co-ordination of multiple dependencies and stakeholders in complex, large scale deployment environments.

· Manage team of business analysts to ensure that deliverables are completed timely and to the required quality standards.

Processes

· Scope is limited to CCIB CC processes.

· Work in Enterprise agile environment and guide the squads to define and deliver business value.

· Lead squads to deliver business requirements, functional design, journeys design, configuration, testing, training and implementation of the relevant changes / systems.

· Provide guidance and support to the Squads to ensure consistency in the delivery approach and artefacts and in alignment to the Standards.

· Set up and manage Key Performance Indicators / Metrics (KPIs / KPMs).

· Complete and/or facilitate the completion of key milestones for Client Coverage as planned in the Risk Remediation / Treatment Plan.

· Implement mechanisms to facilitate the early identification and prompt resolution of risks, including escalating these risks to the required forums for support.

· Support the design of the Target Operating Model, Business Impact Assessment and implementation of the tools / enablers that the Central Data Office (CDO) / associated team delivers to CCIB CC.

· Perform feasibility and options analysis for implementing all the standards across all stages of planning and execution.

· Validate deliveries through success metrics, after deployment to ensure they meet all operational and business requirements and drive maintenance and problem resolution, as required.

· Stay abreast of new vendor platform releases and functionality, and where required suggest and drive implementation of the same where there is value-add for the Business.

· Work with relevant Vendors and Professional Services firms to source for suitable resources who can be engaged to augment staff capacity and support Book of Work delivery.

· Master and gain in-depth understanding of the Data Conduct standards to ensure the smooth and effective delivery of Data Privacy, Data Sovereignty and Records Management Book of Work (BoW) for CCIB CC.

· Liaise with the Risk Framework and Standards Owner from the 2nd line to obtain requisite clarification to operationalize the standards for CCIB CC.

· Facilitate the simplification and / or operationalisation of the Group standards and accompanying Country Addenda / Schedules (where applicable) for CCIB CC.

People and Talent

· Manage focused teams to ensure that deliverables are completed timely and to the required quality standards.

· Promote professional and personal growth through effective talent management.

· Effectively manages relevant business stakeholders across CCIB CC.

Risk Management

· Work closely with the Product Owner of the Data Risk Squad to drive reduction of the Data risks and monitor all major risk issues and concentrations. Where appropriate, perform the upwards escalations of key risks, issues and/or challenges encountered.

Governance

· Supports the setup and / or maintenance of the relevant governance forums.

Regulatory and Business Conduct

· Display exemplary conduct and live by the Group’s Values and Code of Conduct.

· Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

· Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

· Head of Data Management, CCIB

· CCIB Client Coverage Head of Data

· CCIB Client Coverage Data Risk Squad, Product Owner

· CFCC / Risk Framework Owner

· Operational Risk

· Standard Owners

· Central Data Office (CDO) / Data Shield Programme representatives

· Group / Country Process Owners

· Group / Country Process Owner Support

· Chief Product Owner and the Hive

· Client Coverage Business Heads / delegates

· Product Management (System / Platform Owners)

· Technology Delivery Partners

Our Ideal Candidate

· 10+ years of Experience working in or consulting for Financial Institutions

· Knowledge of Banking processes is required.

· Experience with reviewing, understanding and mapping a complex business process to determine how specific regulatory obligations and policy requirements impact a process and the respective controls / elements in those processes.

· Experience with designing solutions to meet policy and regulatory requirements for existing processes, in collaboration with technology.

· Experience with leading teams to achieve the committed objectives and outcomes.

· Strong prioritisation and organizing skills matched with the ability to manage stress, time, and change effectively.

· Prior experience working in Agile Scrum team will be advantageous.

· Strong stakeholder management skills with experience in managing various stakeholder groups.

· Strong problem solving / analytical skills.

· Ability to take initiative, identify opportunities and work with minimal management oversight.

· Excellent communication skills - oral, written and presentation.

· High level of attention to detail with the ability to identify areas of focus for solution design and implementation.

· Ability to create effective work relationships across functions and borders.

· Good presentation, time management, negotiation and influencing skills.

· Technical knowledge of privacy laws and regulations in the UK (GDPR), Singapore (PDPC) and Hong Kong (PDPO) as a minimum, including the guidelines and recommendations of the respective Privacy Regulators like the UK ICO would be good to have.

· Any other relevant project management certification(s).

Role Specific Technical Competencies

· Project Management

· Business Acumen

· Planning: Tactical, Strategic

· Agile Methodologies

· Analytical Thinking

· Coaching Others

· Business Process Design

· Stakeholder Management

· Communication (oral, written, presentation)

· Time Management

­About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we:

· Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

· Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

· Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

· Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations

· Time-off including annual, parental / maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with with minimum global standards for annual and public holiday, which is combined to 30 days minimum

· Flexible working options based around home and office locations, with flexible working patterns

· Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

· A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning

· Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

The Role Responsibilities

Job Role

Support the Product Owner with the activities required for reducing risk and sustaining the low-risk environment in relation to Privacy, Record Keeping and Data Sovereignty risks. These activities include but is not limited to

· Successful and timely Delivery of associated Risk Treatment Plan (RTP).

· Implementation of the Standards in BAU.

· Execution and maintenance of the controls / frameworks required for compliance with the Standards, regulations and sustenance of the low-risk environment.

· Collaboration with Central Data Office (CDO) and Data Shield Programme (DSP) to roll out centralised enablers that aids with risk reduction and / or Standards Implementation.

Strategy

This role is positioned to support the Product Owner of the Data Risk Squad in enabling Client Coverage to achieve compliance with the Bank’s Data Management Standards and associated regulations.

Business

· Develop a deep understanding of the current state of CCIB Client Coverage’s data, processes and systems.

· Drive completion of key milestones for Client Coverage in accordance with the data risk objectives, which may include but is not limited to, delivering the Risk Treatment Plan, completing the required remediations and implementing the relevant Standards in BAU.

· Performs Data Discovery exercise for all the Data standards and complete mandatory artefacts (Data Discovery Templates, Data Flowchart, Data Inventory, etc).

· Performs Gap Analysis of current state against the requirements in the Data Standards.

· Coordinate reviews and sign-off with relevant stakeholders such as Group Process Owner (GPO), Country Process Owner, Risk Framework Owner (RFO), Operational Risk (OR) and more.

· Conduct and Lead Business Impact Assessments on the business and process from the tools / enablers that the Central Data Office (CDO) team delivers to CCIB CC.

· Design Target Operating Models to conform to Data Standards, identity business solutions to meet the requirements in a complex process and technology environments, validate impact assessment and drive implementation plan.

· Deliver key Change Management outcomes including Operational design, Communications, Learning, Operational Readiness and Operational Guidance to embed Data Management Standards for end user communities.

· Effectively engage senior business stakeholders across geographies -Strong communication skills and ability to tailor complex content to stakeholder audiences.

· Build strong and effective relationships with programme and business counterparts.

· Proven experience in co-ordination of multiple dependencies and stakeholders in complex, large scale deployment environments.

· Manage team of business analysts to ensure that deliverables are completed timely and to the required quality standards.

Processes

· Scope is limited to CCIB CC processes.

· Work in Enterprise agile environment and guide the squads to define and deliver business value.

· Lead squads to deliver business requirements, functional design, journeys design, configuration, testing, training and implementation of the relevant changes / systems.

· Provide guidance and support to the Squads to ensure consistency in the delivery approach and artefacts and in alignment to the Standards.

· Set up and manage Key Performance Indicators / Metrics (KPIs / KPMs).

· Complete and/or facilitate the completion of key milestones for Client Coverage as planned in the Risk Remediation / Treatment Plan.

· Implement mechanisms to facilitate the early identification and prompt resolution of risks, including escalating these risks to the required forums for support.

· Support the design of the Target Operating Model, Business Impact Assessment and implementation of the tools / enablers that the Central Data Office (CDO) / associated team delivers to CCIB CC.

· Perform feasibility and options analysis for implementing all the standards across all stages of planning and execution.

· Validate deliveries through success metrics, after deployment to ensure they meet all operational and business requirements and drive maintenance and problem resolution, as required.

· Stay abreast of new vendor platform releases and functionality, and where required suggest and drive implementation of the same where there is value-add for the Business.

· Work with relevant Vendors and Professional Services firms to source for suitable resources who can be engaged to augment staff capacity and support Book of Work delivery.

· Master and gain in-depth understanding of the Data Conduct standards to ensure the smooth and effective delivery of Data Privacy, Data Sovereignty and Records Management Book of Work (BoW) for CCIB CC.

· Liaise with the Risk Framework and Standards Owner from the 2nd line to obtain requisite clarification to operationalize the standards for CCIB CC.

· Facilitate the simplification and / or operationalisation of the Group standards and accompanying Country Addenda / Schedules (where applicable) for CCIB CC.

People and Talent

· Manage focused teams to ensure that deliverables are completed timely and to the required quality standards.

· Promote professional and personal growth through effective talent management.

· Effectively manages relevant business stakeholders across CCIB CC.

Risk Management

· Work closely with the Product Owner of the Data Risk Squad to drive reduction of the Data risks and monitor all major risk issues and concentrations. Where appropriate, perform the upwards escalations of key risks, issues and/or challenges encountered.

Governance

· Supports the setup and / or maintenance of the relevant governance forums.

Regulatory and Business Conduct

· Display exemplary conduct and live by the Group’s Values and Code of Conduct.

· Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

· Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

· Head of Data Management, CCIB

· CCIB Client Coverage Head of Data

· CCIB Client Coverage Data Risk Squad, Product Owner

· CFCC / Risk Framework Owner

· Operational Risk

· Standard Owners

· Central Data Office (CDO) / Data Shield Programme representatives

· Group / Country Process Owners

· Group / Country Process Owner Support

· Chief Product Owner and the Hive

· Client Coverage Business Heads / delegates

· Product Management (System / Platform Owners)

· Technology Delivery Partners

Our Ideal Candidate

· 10+ years of Experience working in or consulting for Financial Institutions

· Knowledge of Banking processes is required.

· Experience with reviewing, understanding and mapping a complex business process to determine how specific regulatory obligations and policy requirements impact a process and the respective controls / elements in those processes.

· Experience with designing solutions to meet policy and regulatory requirements for existing processes, in collaboration with technology.

· Experience with leading teams to achieve the committed objectives and outcomes.

· Strong prioritisation and organizing skills matched with the ability to manage stress, time, and change effectively.

· Prior experience working in Agile Scrum team will be advantageous.

· Strong stakeholder management skills with experience in managing various stakeholder groups.

· Strong problem solving / analytical skills.

· Ability to take initiative, identify opportunities and work with minimal management oversight.

· Excellent communication skills - oral, written and presentation.

· High level of attention to detail with the ability to identify areas of focus for solution design and implementation.

· Ability to create effective work relationships across functions and borders.

· Good presentation, time management, negotiation and influencing skills.

· Technical knowledge of privacy laws and regulations in the UK (GDPR), Singapore (PDPC) and Hong Kong (PDPO) as a minimum, including the guidelines and recommendations of the respective Privacy Regulators like the UK ICO would be good to have.

· Any other relevant project management certification(s).

Role Specific Technical Competencies

· Project Management

· Business Acumen

· Planning: Tactical, Strategic

· Agile Methodologies

· Analytical Thinking

· Coaching Others

· Business Process Design

· Stakeholder Management

· Communication (oral, written, presentation)

· Time Management

­About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we:

· Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

· Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

· Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

· Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations

· Time-off including annual, parental / maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum

· Flexible working options based around home and office locations, with flexible working patterns

· Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

· A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning

· Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

This position responsibilities include conducting full lifecycle analysis to include business requirements, activities and design. Data analysts will develop analysis and reporting capabilities. He/She will also requires to monitor performance and quality control plans to identify improvements. The successful candidate will turn data into information, information into insight and insight into business decisions.

Job Description

• Ability to interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with Senior management to prioritize business and information needs
• Locate and define new process improvement opportunities

Job Requirement

• Degree in Mathematics, Economics, Computer Science, Information Management or Statistics or related
• At least 5 to 8 years proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings

Responsibilities:

• Collaborate with business stakeholders to understand their data needs and objectives.
• Collect, clean, and preprocess data from various sources for analysis.
• Perform exploratory data analysis to identify trends, patterns, and correlations.
• Develop and implement predictive models and machine learning algorithms to solve business challenges.
• Apply statistical analysis techniques to analyze complex datasets and draw meaningful conclusions.
• Create data visualizations and reports to communicate insights effectively to non-technical audiences.
• Collaborate with data engineers to optimize data pipelines for efficient data processing.
• Conduct A/B testing and experimentation to evaluate the effectiveness of different strategies.
• Stay up-to-date with advancements in data science, machine learning, and artificial intelligence.
• Assist in the development and deployment of machine learning models into production environments.
• Provide data-driven insights and recommendations to support strategic decision-making.
• Collaborate with other data scientists, analysts, and cross-functional teams to drive data initiatives.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
• Proven experience as a Data Scientist or similar role, with a portfolio of data science projects that demonstrate your analytical skills.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong understanding of statistical analysis, machine learning algorithms, and data visualization techniques.
• Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
• Solid understanding of SQL and database concepts for querying and extracting data.
• Excellent problem-solving skills and the ability to work with complex, unstructured datasets.
• Effective communication skills to explain technical concepts to non-technical stakeholders.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Knowledge of cloud platforms and services for data analysis (e.g., AWS, Azure) is advantageous.
• Familiarity with natural language processing (NLP) and text analysis is a plus.
• Advanced degree (Master's or PhD) in a related field is beneficial but not required.

5 days, Permanent, Eunos

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· 60% hunter and 40% farmer in prospecting for corporate clients who needs to build new / maintain existing data center.

· Active prospecting, identify sales opportunity.

· High technical proficiency in identifying b2b corporate client need

· Collaborate with all parties from plan, design, to project delivery.

· Maintain good relationship with client through period visit for servicing and upselling opportunity

Requirement

· Min diploma in mechanical/electrical engineering

· Have existing good contact with business owner, Consultant, Level1 Builder

· 1 years sales experience of data center M&E infrastructure service/ data center related equipment.

· Able to work in bilingual environment.

Work location : Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are seeking a well-rounded data engineer to join our team. As part of the Global Post Market Quality and Data Analytics team, you will play an integral role in processing consumer feedback through data quality assurance, data modelling, data integration and automation. Under a diverse team, you will have a plethora of opportunities to work cross-culturally and cross-functionally to streamline data processes.

What you will do

• Build and maintain data pipelines for efficient data movement. Use ETL processes to extract and store data from various sources and transform it into a clean and usable format.
• Develop and implement data models to support business intelligence, reporting and analytics requirements.
• Integrate data from different sources (internal/external) to provide a unified and comprehensive view of the data.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data. Identify and address data quality issues.
• Write scripts and use automation tools to streamline data processes and workflows.
• Collaborate with stakeholders within and outside of the team to understand data needs and streamline data.

What you bring

Experience

• Bachelor's degree in Data science, Computer Engineering, Computing, IT or any other related field.
• 3+ years of relevant working experience in data roles.
• SQL, Power BI and Advanced Excel knowledge required. Proficiency in other programming languages is a plus.
• Familiarity with integrating data sets from various systems, identifying gaps and presenting visualized data using Power BI.
• Able to handle structured data from various sources and formats (e.g.: from customers and operations), such as complaints and returns.
• Basic knowledge in quality processes (medical device industry) is a plus.

Personal competencies

• Great team player and good communicator. Able to break down complex concepts in a simple and clear manner.
• Responsible with a good sense of urgency.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.