Total 4,035 data entry clerk job vacancies in Information Technology category in Singapore

Job Summary:

We are seeking an experienced Data Analyst cum Deputy Manager to lead our data analysis team and support the management of our organization. The successful candidate will be responsible for analyzing complex data sets, related to patient care, clinical outcomes, and practice performance, and developing insights to inform business decisions. Additionally, they will assist in managing the day-to-day operations of the team and deputize for the Manager as required.

Key Responsibilities:

Data Analysis:

- Analyze patient data, clinical outcomes, and practice performance metrics to identify trends and insights

- Develop and maintain databases, reports, and dashboards to support GP operations and business decision-making

- Create data visualizations and presentations to communicate findings to stakeholders

Leadership and Management:

- Generating data analysis to achieve departmental goals

- Assist in managing the day-to-day operations of the team, including task allocation and prioritization

- Deputize for the Manager as required, making decisions and taking actions in their absence

Clinics Operations:

- Collaborate with doctors, and staff members to understand data requirements and develop insights to improve patient care

- Develop and implement data-driven solutions to improve clinical outcomes and practice performance

Requirements:

- Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or a healthcare-related field (e.g., Public Health, Health Informatics)

- At least 5 years of experience in data analysis and leadership

- Strong analytical and problem-solving skills

- Excellent communication and presentation skills

- Ability to lead and manage a team

- Proficiency in data analysis tools and software (e.g., Excel)

- Understanding of healthcare data standards and regulations

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #67480 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Mondays - Thursdays: 8:30am to 6:00pm; Fridays: 8:30am to 5:30pm

Job Description:

• Provide support to the team in communicating with the Ops Policy and Policy Divisions
• Provide support to the team in business process reviews on processes both from the client point of view (i.e. to make help more accessible) as well as from the point of view of officers (to make their work more efficient)
• Data analysis, familiarity with data visualization software to interpret data and spot areas of concern
• Secretariat support for monthly meetings
• Provide administrative and operational support to ensure smooth day-to-day operations
• Provide support to the team in communicating and liaising with internal and external agencies/stakeholders

Requirements:

• Singaporean
• Degree in any field
• Good communication skills and ability to understand and interact with SSOs and other stakeholders on the measures/ guidelines/ requirements
• Proficient in MS Office
• Able to do data analysis and draft presentation slides and reports
• Admin/office working experience

Please contact Terence at +65 9645 4048 your resume directly for fast response.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job description:

• Monitor incidents/requests though emails and Service Now ticketing system
• Daily checks of data center hardware and facility systems
• Mount and dismount of systems
• Rebooting/power-cycling and refreshing servers/equipment
• Ensuring the moving and securing of network cables and connectors
• Assist in managing asset/inventory
• Receiving requests and handling shipping
• Able to conduct audits/validation
• Escort vendors and visitors to the DC cage
• Prepare daily and other ad hoc reports for management

Requirement:

Minimum 1 year experience in Data Center operations

Experience in eyeball checking of system faults and failures

Good MS Excel and communication skills.

Good technical knowledge in Service Now or ticketing tool

Good knowledge of structured cabling

Able to work in following shifts:

0700-1600 hrs.

1400-2200 hrs.

Data Scientist

Work Location: Near Paya Lebar MRT

Working Hours: 9.00AM - 6.00PM

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency.

This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy generate insights at scale
• Apply data mining techniques and perform statistical analysis to Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9766

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1223746 Tan Eng Kah (Chen Yunjia)

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Job Responsibilities

• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability
• Maintaining MEP infrastructure, and coordinating with vendors.
• Manage and plan for MEP preventive, corrective and predictive maintenance
• Manage and plan for annual shutdown
• Prepare monthly reports e.g. energy report, asset report
• Manage contractors and projects.
• Manage client enquiries and requests

Job Requirements

• Minimum 3 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, ,CRAH and Fire System.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Analytical and problem solving skills
• Good organizational skills with the ability to maintain all facility related documentation.
• Proficient in Microsoft Office.

The Role:
In the client’s Data Science Center of Excellence, you’ll play a key role in advancing their Generative AI (GenAI) Strategy by developing intelligent software solutions across AI, Data Analytics, MLOps, and Cloud. This is an opportunity to drive the next wave of innovation in adaptive self-learning technologies!

Key Responsibilities:

• Lead the design and deployment of advanced GenAI and NLP solutions, including intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other state-of-the-art generative applications.
• Develop end-to-end ML and deep learning pipelines, from data analysis and model development to production deployment.
• Select optimal computational tools for experimental and trial objectives in data science projects.
• Engage with stakeholders, translating complex technical concepts into easily understood insights.
• Contribute to and oversee project teams of data scientists and engineers, ensuring smooth execution and alignment with business goals.

Qualifications:

• Proven experience with Generative AI, NLP, and large-scale language models (e.g., GPT-4, Claude, Gemini).
• Proficiency in deep learning tools like TensorFlow or PyTorch, with a solid foundation in Python.
• Advanced degree (Master's or Ph.D.) in Computer Science or a related field.
• Skilled in the operationalization of AI solutions across cloud platforms.
• Strong problem-solving abilities, with a clear, impactful communication style.
• Upper-intermediate or higher level of English proficiency.

Why Join This Client?

• Collaborate within a multidisciplinary team of Data Scientists, ML Engineers, and DevOps experts.
• Work on high-impact, international projects for leading global clients.
• Access to ongoing education, certification programs, and international events in the latest AI technologies.

Job Description:

• Supporting deployment of on-site data centre physical infrastructure.
• Installing, replacing and troubleshooting Cables and Hardware.
• Handling data bearing devices (ex. hard drives, solid-state drives, etc.)
• Working within a ticket-based environment.
• Movement of equipment using pallet jacks or other assisted lifting equipment.
• As required, assisting the Datacentre Inventory and Asset Management Team (DIAT) with shipping/receiving and inventory management to address high work volumes.
• Flexibility to work non-standard business hours that may include weekends and/or holidays.

Requirements:

• Diploma / Degree in IT / Computer Engineering or equivalent
• 1 year of experience in IT Support & Monitoring (Will consider Fresh Graduate with good attitude)
• Basic knowledge of computer hardware and components.
• Six (6) months or more handling/maintaining any technical equipment or machinery.
• 1+ years’ experience supporting IT equipment or related technology.
• Applicable certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to support frequent standing, walking, lifting, and working at heights with or without equipment assistance.
• Able to communicate effectively.
• Desire to learn, grow, and develop new technical skills.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Assist with the installation and support of data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware components.
• Handle data-bearing devices, including hard drives and SSDs.
• Operate within a ticket-based environment for task management.
• Use pallet jacks or other lifting tools to move equipment safely.
• Support the Data Center Inventory and Asset Management Team in managing inventory and shipping tasks during peak times.
• Flexibility to work during weekends or holidays when required.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related field.
• At least one year of experience in IT Support or Monitoring (fresh graduates with a proactive mindset are encouraged to apply).
• Six months or more in handling technical equipment or machinery.
• Familiarity with computer hardware and components.
• Preferred certifications include CompTIA (A+, Server+, Network+) and Basic Structure Cabling (BSC).
• Physically capable of standing, walking, and lifting frequently, with or without equipment assistance.
• Strong communication skills in English, both written and spoken.
• Enthusiasm for learning and expanding technical skills.

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Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Description

· Build data pipelines (ETL) to enable scalable processing of large volumes of data in AWS environment (Informatica, Pentaho)

· Organise, build and maintain data stores (e.g., RedShift, RDS) of structured and unstructured data (e.g., text, customer transactional data, work-flow/ticket/log data)

· Co-evaluate business needs and objectives

· Identify opportunities for data acquisition

· Conduct data analysis, working independently or with data analysts, and report on results

· Analyze and organize raw data

· Interpret trends and patterns

· Prepare data for prescriptive and predictive modeling

· Combine raw information from different sources

· Explore ways to enhance data quality and reliability

· Work with stakeholders to identify and solve business needs related to advanced data processing



Job Requirements

· Minimally a Degree in Computer Science, IT, or similar field

· At least 1 year experience working with SQL or as a data engineer or in a similar role.

· Proven work experience with ETL tool such as Pentaho Data Integration (KETTLE), Informatica.

· Excellent SQL knowledge and with proven experience with Data Analysis, Data Profiling and Data Processing.

· Good knowledge of working with databases such as Oracle, PostgreSQL, RedShift.

· Experience working with Tableau or similar BI tools.

· Technical expertise with data models, data mining, and segmentation techniques

· Ability to integrate data /data streams from different sources

· Great numerical and analytical skills

· Detail-oriented, with excellent organizational skills and experience

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd
• RCB No. 200007268E • EA License No. 01C4394
• Reg. <R21100074> <Cheryl Thng Wei Lin>

About ST Engineering

ST Engineeringis a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Geo-Insights

ST Engineering Geo-Insights Pte Ltd is a data analytics company focused on generating insights from geospatial data for maritime, agriculture and sustainability applications. We are looking for team members who are passionate about implementing technological solutions to solve real world problems and delivering social, economic and environmental value. You can look forward to a growth-oriented career in a supportive and fast-paced environment.

Together, We Can Make A Significant Impact

We are looking to add a dedicated and talented Data Analytics Engineer to our team. You will work closely with other engineers, designers, and project managers to deliver high-quality Geospatial Analytics solutions that meet our clients' needs.

Be Part of Our Success

• Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
• Design and manage geodatabases, feature classes, and datasets, ensuring data integrity and efficiency.
• Collaborate with cross-functional teams to understand data requirements and develop data processing workflows accordingly.
• Stay updated on emerging trends and best practices in data management.
• Publish map services, feature services, and geoprocessing services, configuring security and performance settings.
• Support technical innovation within the team by providing coding assistance and creative solutions to meet project goals.
• Design and implement advanced analytics solutions that handle high-volume streaming and batch datasets efficiently.

Qualities We Value

• Proficient in data pipeline tools, such as Airflow, Kafka, MLFlow.
• Proficiency in machine learning and deep learning technologies is a plus.
• Knowledge of Flask, NodeJS or other app frameworks, and containerisation, for quick proto-typing.
• Applicants should be motivated, proactive, able to work independently and result oriented.
• Singaporean only

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Working Location: Ang Mo Kio

Product area

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Qualifications

Job responsibilities

• Operate, maintain, troubleshoot, and repair electrical equipment in a Data Center environment. Provide Root Cause Analysis (RCA), recovery, and prevention actions for service failure.
• Prepare and execute operation procedures, respond to work request/service failure, and provide operational and technical expertise in required areas. Coordinate vendor support in repairs/replacement and support project implementation (site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Improve site WUE and PUE, operational efficiency, and minimize environmental impact. Develop a good understanding of the infrastructure design and sequence of operation.
• Prepare and conduct training/sharing to the team. Ensure safety rules and regulations associated with operating infrastructure.

Minimum qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field, or equivalent practical experience.
• Experience with electrical, mechanical, and controls systems including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units, and CRAC units.
• Experience in troubleshooting.
• Ability to work non-standard, on-call rotation weekend hours.

Preferred qualifications

• Electrical Technician's Licence.
• Experience troubleshooting for electrical systems.
• Knowledge of industrial networking and coordinating with others in order to determine problems and implement solutions.
• Familiar with SCADA, Power monitoring system, building monitoring system, and PLC programming.
• Ability to work in varying outdoor temperature conditions and perform material handling (lifting/shifting) to work on platforms, ladders, and under raised floors.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions and follow the site’s environmental health and safety policies.

JOB SUMMARY

• This role could be based in Singapore and UK. When you start the application process you will be presented with a drop down menu showing all countries, Please ensure that you select a country where the role is based.
• CIB Data Management is a function that sits within Corporate & Investment Banking (CIB) COO organisation and is responsible for the data management activities within Client Coverage, Financial Markets and GCM.
• The role of the Business “Data Solution Lead – Markets/GCM” is to primarily support the Markets & GCM Businesses to implement data by design with-in their changes and projects. This involves building an understanding of business data requirements for critical business data attributes, building/ mapping to the conceptual, logical data model, enhancement of the Logical data model, help change teams to design and develop DQ standards at design phase and work with technology counterparts to ensure accurate implementation.

RESPONSIBILITIES

Strategy
Understand the following:

• Group Data Management Standards and all other policies/standards related to data
• CIB Data’s vision and strategy and how it supports it’s strategic goals
• CIB Business Plan and its strategic goals and enablers

Ensure the following:

• All changes are in line with the Group Data Management Standards and other relevant data related policies/standards
• All design aspects of the change are fit for purpose, aligned to CIB Data Standards and Principles, and ultimately achieve the required business goals
• Adherence to the relevant CIB procedures

Business

Ensure “Data by design” for Markets business by:

• Developing an understanding of CIB Markets, GCM data architecture, data lineage and current state data architecture Gaps.
• Establishing a singular view of Markets & GCM data by developing conceptual data model and data domains model.
• Implementing the DQ change control framework to ensure critical data changes are aligned to the data models and data standards defined and implemented.
• Support key Transformations in the Markets & GCM business by providing Data Modelling expertise, Data by design recommendations and if required be able to deliver end to end data design activities.
• Establish the framework to utilize the domains model for setting design for new standards adoption such as Data Security, Data Privacy, Records Keeping, Data Sovereignty, and others by discovering and mapping the associated Classifications of data.
• Provide clear data definitions and data standards for all business terms to measure the Data Quality of captured and distributed data, to optimize the Data Design and resolve identified data definitions and standards deficiencies.
• Implementing Reference Data Architecture Principles and Target design for reference data and guide and support group projects and changes with right reference data design usage. Proactively monitor the health of current Reference Data and provide the recommendations for the full certification.
• Involve/ Engage Technology Architects and Teams to get support on Physical Data Architecture / Physical Data Models and related queries as required by Data Domain Ownership activities.
• Ensure (and if required implement and operate) appropriate governance forums to govern Data Design and Architecture, including defining their roles and responsibilities, to govern and authorize Data Designs, Models, Standards and Principles.
• Provide Data Architecture Consultation services to Group Projects and Change Initiatives.

Processes

• Understand Markets processes and how these processes create / Amend data.
• Maintain a mapping of Processes to Conceptual data model as right level of granularity to support changes.

People & Talent

• Lead and develop enterprise level data models for Financial markets industries.

Risk Management

• Identify risks and issues, and ensure appropriate mitigation or treatment plans are in place
• Actively manage risks and issues identified, and escalate appropriately
• Incorporate appropriate controls when designing processes/solutions

Governance

• Adhere to all relevant policies, procedures, and guidelines
• Ensure all necessary agreements are obtained from the respective CIB Data workstream leads and are auditable

Regulatory & 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 CIB Data
• Head of Markets, GCM & Coverage Data
• Data Domain Owners
• Change communities such as product owner, business/data analyst, etc.
• Global Process Owners & delegates
• Transformation, Technology and Operations Business Management team
• Markets & GCM COO team

Other Responsibilities

• Embed Here for good and Group’s brand and values in Singapore CIB Data Team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)

Our Ideal Candidate

• 8+ years experience in data design/architecture and working with large data sets and relational databases
• Experience in developing Data Definitions and data standards for data attributes.
• Knowledge in SQL and/or other data query skills
• Experienced in of data quality management, metadata management and metadata tooling.
• Experience in banking / financial institution preferred
• Strong problem solving and analytical skills; able to break down complex problems to identify core requirements
• Excellent verbal and written communication skills, including the ability to present to various stakeholder groups
• Proven ability to collaborate effectively with diverse stakeholders and engage with all levels of management
• Innovative mindset that continuously looks out for automated solution rather than manual work around
• Experienced in data modeling tool such as Erwin
• Experienced in data analysis tools such as Alteryx, Dataiku, or Informatica (Preferable)
• Experienced in data visualization tool such as Tableau or the likes (Preferable)

Role Specific Technical Competencies

• Change Management
• Data Architecture & Modelling
• Data Strategy
• Data Analysis & Design
• Data Principles

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 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
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

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 leave, parental/maternity (20 weeks), sabbatical (12 months 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

• Entering data from various sources into the database system
• Verifying the accuracy and completeness of data
• Sorting and organizing documents for data entry
• Performing regular data backups to ensure data integrity
• Generating reports and summaries based on the entered data
• Assisting with data analysis and interpretation as needed
• Maintaining data confidentiality and security
• No experience required
• Open to mature workers and part timer

Chan Chee Meng
EA 07C3069
R1110620

Responsible to manage system development, implementation and support of EAI applications, including:

• Develops applications that effectively accomplish client objectives and user needs.

• Designs and writes code for applications and maintain applications databases.

• Analyzes and edits existing software applications to improve and optimize functionality, fix problems, and enable their use on new hardware platforms.

• Remodels and adapts applications as needed to optimize performance.

• Identifies specific client needs and preferences related to the application.

• Tests applications extensively to ensure they are error and bug-free.

• Installs applications and acts as technical advisor.

• Communicates with relevant internal technical stakeholders to obtain information on project limitations, performance requirements and interfaces.

• Consults with clients in the design phase to determine client needs.

• Produces software documentation following company/client software process and templates.

• Participates in software product review meetings and team meetings.

• Performs any other related task as required.

Key Requirement

• Bachelor's degree or equivalent in computer science or software engineering or related field.

• Seasoned Software Applications Engineering, Software Development experience, or related work experience.

• Seasoned experience with Programming Languages such as (but not limited to) ANSI C, C++, and Unix Korn Shell programming

• Seasoned experienced with Linux or Unix and Windows operating systems.

• Seasoned experience working with Oracle Tuxedo, IBM MQ Series.

• Experience in banking or financial industry

• Certification in various programming languages, for example (but not limited to) Java, Perl, Python, C++ preferred.

Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience using the SAP system is preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #67597 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Data Framework Engineer

Expected Years of Experience: 8-10 years

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support.

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

Other responsibilities include:

- 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 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

Technical skillsets

TEAM Architecture (Big Data)

- 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

- Expertise in building applications using Java, Scala, Python, Shell scripting

- Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

- Knowledge of frameworks such as Spring, Struts, Hibernate etc

- Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

- Knowledge of related technologies such as HTML, Javascript, CSS, React, Jquery, node.js, docker

- Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

- Expertise in integrating applications with Devops tools

- Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus

At least, 2 to 3 technical certifications in any of the below technologies:

1. Language – SQL, Java, Python, Scala, Javascript, node.js
2. Automation / scripting – CtrlM, Shell Scripting, Groovy
3. Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube
2. Version Control Tool - Aldon+LMe, CA Endeavor
3. Deployment Tool kit -Jenkins
4. Service or Incident Management (IcM) Tools - Remedy
5. Source Code Repository Tool - Bitbucket
6. Scheduling Tool - Control-M
7. Defect Management Tool - JIRA
8. Application Testing tool – QuerySurge
9. Cloud certification
10. Platforms provided by FICO, Experian, SAS for credit and portfolio management

EDUCATION

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

• Salary: $4,000 - $5,000 basic + Fixed Transport Allowance
• Jurong East

Roles & Responsibilities

In this role, you will foster strong relationships with key stakeholders in the region, leveraging your data expertise and experience in data management to achieve meaningful outcomes. If you have a strong understanding of data sensitivity and enterprise architecture, this opportunity is for you.

Key Responsibilities:

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis).
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations.
• Automate existing recurring reports and analyses.
• Design and develop the data architecture for BI solutions.
• Build data pipelines where necessary for the development of visualization solutions.
• Ad-hoc analysis required by management to support strategic initiative.

General Requirements:

• Minimum of 2-3 years of experience in a business setting focused on data analysis, insights, and recommendations.
• Excellent data visualization skills, with experience in creating dashboard reports using Power BI, Tableau, or similar tools.
• Knowledge with database, data modelling and ETL pipeline development.
• Knowledge in SQL, and Python is a plus
• Bachelor’s degree (or equivalent) in mathematics, computing, statistics, business analytics, finance or equivalent.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to [email protected]or please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

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Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Lee Jia Chian (Jayleen)
EA Personnel Reg No: R24124361