Total 4,012 data entry job vacancies in Information Technology category in Singapore

· Possess a degree in Computer Science/Information Technology or related field.

· 1 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).

· Experience in Oracle PL/SQL and Informatica PowerCenter.

· Able to design, implement solution, and perform code review.

· Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

· Excellent written and verbal communication skills.

· Strong interpersonal skill and able to interact with diverse stakeholders.

· Agile, fast learner and able to adapt to change.

· Good team player, with strong analytical skills and enjoy complex problem solving.

Reporting Structure:

• Supervisor(s): Critical Facility Manager

Job Responsibilities:

1. Perform duty and/or shift duty roster to manage Data Centre operations, maintenance, troubleshooting, project rollout, and facilities related matters. This includes maintain and repair of infrastructure systems and critical facilities equipment.
2. Perform Data Centre monitoring and maintenance on infrastructure systems, critical facilities, and associated equipment. This includes raised floor environment, mechanical, electrical, emergency generators, fire/life safety systems and associated equipment.
3. Perform preventive and corrective support to scheduled or unscheduled maintenance on Data Centre infrastructure systems, critical facilities equipment and/or services.
4. Ensure all subcontractors deliver a quality and competent service and all contractual obligations are met.
5. Perform Data Centre and critical facilities work on environmental and management programs.
6. Perform equipment functionality test and data analysis.
7. Perform assets management duty. This includes maintaining of inventory, change and control programs, and purchase of parts and supplies.
8. Promptly respond and attend to incident and/or emergency situations. This includes fire, evacuation, equipment failure, etc.
9. Be the point of contact during significant events/incidents or multi-discipline technical escalations occurring within the specified sites.
10. Provide support, coordinate, and supervise Data Centre maintenance efforts. This includes coordination with internal and/or external parties, contractors, suppliers, and clients.
11. Provide standby support upon activation for shift duty stand-in and/or other coverage.
12. Conduct routine, sanity check and on-going assessment of Data Centre infrastructure systems and critical facilities operations.
13. Comprehend, analyse, interpret documentation. This include maintaining and updating of as-built drawings and schematic diagram.
14. Promote and maintaining the core Values of Engie.
15. Ensure professional image of Engie presented to clients and visitors at all times.
16. Comply and adhere to all regulated protocol and/or Company’s rules and regulation.
17. Perform other duties at time assigned by line managers.

Job Requirements:

1. Degree/Diploma in Electrical, Mechanical, or Equivalent experience.
2. Must be able to demonstrate a career showing continuous personal development with at least two years’ experience in Datacentre or 24/7 critical environment management.
3. Must be a certified Data Centre Professional or equivalent experience.
4. Good experience in 24/7 Datacentre and/or maintaining critical environments.
5. Able to perform standby or coverage of shift duty or on weekends/public holidays.
6. Preferably understand all the associated safety code related requirements relative to providing the service.
7. Experience with Health & Safety, Risk Assessments and Control Measures.
8. Detailed understanding and experience of the electrical and mechanical systems used in a Datacentre and commercial environment, including Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS systems, Battery banks, ATS/STS units, PDU/PMM units, ACMV, chilled water systems, Fire Alarm systems, and Fire Suppression systems (pre-action sprinklers).
9. Experience in operations management including team management and work scheduling.
10. Experience in managing escalation and emergency issues.
11. Experience in vendor management, ability to manage and progress monitoring to ensure objectives are achieve for outsourced support and projects.

Personal Attributes:

• Meticulous and have an eye for details with positive working attitude
• Organized and details-oriented, with a strong focus on accuracy
• Able to work under pressure and tight deadline

Other Information:

• Job Type: Full Time, Permanent
• Work week: 5 days
• Work location : Various location

Job Responsibilities:

- Support the review and enhancement of data governance framework, policies, standards, guidelines and data inventory across the Group

- Assist in performing risk and impact assessments

- Provide advisory to Business Units on personal data protection at various stages of the personal data life cycle

- Review and assist in conducting awareness training on personal data protection to foster personal data protection awareness across the Group

- Assist in data breach incident investigations and facilitate remediation action plans

- Manage the data incident log to ensure accuracy and up-to-date

- Assist in providing data incident summaries and reports as per request

- Providing support in the Cross-Border Privacy Rules certification renewal process

- Assist in any other ad hoc duties as assigned

Job Requirements:

- Min. 3-5 years of relevant working experience in the area of data protection and risk management, preferably from the financial services/insurance industry

- Min. Knowledge of Singapore PDPA and preferably with knowledge of other related/relevant privacy regulations

- Training in Data Protection Management, Business Risk Management, and Cyber and Data Breach Incident Management is desired

- Proficient in Microsoft Office applications

- Meticulous attention to detail and accuracy

- Team player and able to work under pressure and meet timelines

To apply, please email your resume in MS Word format to [email protected] indicating in your CV the following information:

Expected Salary:
Notice Required:
Reason for Leaving:

Only shortlisted candidates will be notified.

Jackie Ng May Ying (R1104602)

Recruit Express Pte Ltd

EA No: 99C4599

We seek creative individuals who combine strong analytic abilities and effective communication skills to better shape and deliver solutions. You will work with several account leads and clients. You will primarily be responsible for the design, build, testing, deployment, and support of complex dashboard & analytical solutions as part of an established APAC Analytics & BI team.

Expectations of a Data Intelligence Intern

• A growth focus individual, who is motivated to push the boundaries, while proactively and innovatively finding ways to develop both client appetite for data and analytics; as well as developing world-class excellence in Asia Pacific delivery of data and analytics solutions for advertising and marketing.
• Work with the regional client team to analyze business requests and partner with stakeholders to provide a strategic solution data and analytics into actionable plans and tactics at regional and local market level.
• Work with business support, project management and technical experts as required across local markets to translate identified data into effective dashboarding solutions and reporting projects.
• Design, Build, Test, Debug, Monitor, and Troubleshoot various dashboarding solutions.

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

Design, implement, and maintain scalable and efficient data pipelines using Spark, Python, and PySpark.

Ensure the smooth flow of data from various sources to destination systems.

Utilize SAS, Spark, Python, and PySpark for efficient data processing.

Design and implement data models to support business requirements.

Work closely with data architects to ensure data models align with organizational needs.

Implement data quality checks to ensure accuracy and consistency.

Adhere to data governance policies and maintain data integrity.

Optimize data processing and query performance using Spark, Python, and PySpark.

Identify and resolve bottlenecks in the data pipeline.

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

Bachelor's degree in Computer Science, Information Technology, or a related field.

Proven experience as a Data Engineer with expertise in Hadoop Implementation, Scala, Spark, Python, and PySpark.

Experience with big data technologies and distributed computing.

Proficient in, Spark, Python, and PySpark.

Strong problem-solving and analytical skills.

Excellent collaboration and communication skills.

Familiarity with data security and privacy best practices.

Experience with big data technologies such as Hadoop is a plus.
Good to have Connexa

Job Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, collaborate with infra team to re-designing infrastructure for greater scalability and stability
• Collaborate with the infrastructure team for provisioning required infrastructure for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data needs
• Keep our data separated and secure across national boundaries through multiple data centres and AWS regions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing models which enables us as an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems
• Build tools from ground up that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Prepare daily, weekly, monthly, yearly and ad hoc report and analysis for ecommerce team
• To utilize data and able to share insights with ecommerce team
• Stay abreast and able to share best practices for ecommerce data analytics

The Ideal Candidate

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with widely used RDBMS
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with object-oriented/object function scripting languages: Python and/or Java, C++, Scala, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, NiFi, sqoop, etc.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, Kenesis, Firehose
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience in Qlikview and Qliksense is highly preferred
• Experience with AlicCloud environment (Alicloud, AWS)
• Experience with DevOps environment: Docker, Kubernetes, Git, CI/CD

Bank of Singapore is currently looking for a qualified candidate to assist the Data Engineering Team’s operational and analytical needs. The Technical Data Enginer will work alongside Data Analytics and big data platform (Hadoop) and engineering team to provide data related support, data ingestion, data interface for unstructured/structred data, data analytics and data management. This person will also assist in building interfaces from various upstream systems and ingest the data into Micrsoft SQL server 2019 / Cloudera Hadoop data store and build the enterprise visulasation tool. This is a great opportunity for someone who is interested in innovative group with the possibility of tremendous career development in data engineering, big data management, data analytics and enterprise data visulsaisation tool.

A little more about this role:

As our Technical Data Enginer, you will be instrumental in big data coding and work in Hadoop-ecosystem. This is a brand-new position at Data Competency vertical.

· Perform extensive unstructured data ingestion into Hadoop

· StronG knowledge of Anaconda, Data visualisation BI tool, Python, SPARK, Java Scala, HIVE and Beeline with hands on experience

· Ability to organize and lead meetings with business and operational data owners

· Experience in integrating data processes with architecture requirements used across company

· Understand Hadoop-ecosystem and Data Engineering activities as well as loading data from several disparate datasets and documentation

· Strong ability to troubleshoot and resolve data issues

· Analytical skill to perform data profiling and data visulization

· Experience in Agile and Waterfall frameworkWork

· Work closely with engineering and operations to document business processes

· Work independently and with team members to understand database structure and business processes

· Help form data management and governance processes within the data engineering team

What you’ll need to have:

· Graduate degree in statistics, math, computer science, physics or other technical related fields; Master’s degree is preferred

· Minimum of 10 years working experience in technical data analysis, data science, or data warehousing with proven business analysis experience

· Experience in at least one or more languages: SPARK, Java Scala,Python

· Experience writing Java Scala, Python

· Experience with Hadoop

· Hands on expierence or knowledge of minimum one mainstream cloud infrastructures:AWS,MS Azure and GCP; ablity to implement data lake.

· Good to have Hands-on experienceon the Hadoop, MangoDB,SPARK, Scala, HIVE, Kafka ,Beelin…etc

· Excellent communication skills

· Passionate about data and analyzing business needs

· Previous experience on a data team in an agile environment preferred

· Hands-on experience on the Hadoop ecosystem, HDFS, Hadoop, Spark, Scala preferred

· Develop in-depth plans and major milestones that must be approved by top management during the planning and design phases of the project.

About The Company:

• US based listed Global Logistics & Freight Forwarding MNC which providing services for Ocean Freight, Air Freight, Custom Brokerage, Domestic Distribution and etc…
• Location : Walking Distance from Somerset MRT
• Working Hours : Monday to Friday 9.30am to 6.00pm; Saturday WFH 9.30am to 1.00pm
• Basic up to $4,500 + AWS + VB

Job Responsibilities:

• Evaluate and define Electronic Data Interchange (EDI) requirements for both clients and internal teams, addressing their specific needs and challenges to facilitate efficient information exchange.
• Monitor and resolve issues with EDI transactions, swiftly identifying and rectifying errors or discrepancies to ensure smooth data flow.
• Provide product and technical support to customers and internal staff regarding EDI guidelines and functionalities.
• Conduct testing, maintenance, and troubleshooting on EDI/B2B applications, escalating unresolved technical issues to the Manager or relevant business teams.
• Gather rates from vendors and partners (e.g., ocean freight, air freight, handling charges, etc.).
• Organize rates in Excel spreadsheets.
• Format spreadsheets for easy reference, incorporating features such as filters.
• Analyze trends and generate reports to interpret data effectively.
• Assist in the preparation of quotation proposals, RFQs/bids, and other relevant documentation.

Job Requirements:

• Proven experience working as an EDI Analyst or in a similar role.
• Solid understanding of business processes and workflows, particularly in supply chain, logistics
• Experience in Cargowise EDI
• Strong attention to detail and accuracy, with the ability to handle large volumes of data and ensure data integrity.
• Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and external partners.
• Ability to prioritize and manage multiple tasks simultaneously, while meeting tight deadlines

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by the company relating to this job application.

We regret to inform you that only shortlisted candidates will be notified.
We wish you all the best in your career search.
You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Toh Qiu Wei | EA Personnel No.: R23116260

Job Duties

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.
• Assist in the care and maintenance of lab work area, furnishings & equipment.
• Follow test requirements of reference laboratory & procure appropriate specimen for testing.
• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.
• Utilize lab information system (LIS) to register patients, retrieve results & print reports. • Maintains adequate level of supplies in the work area.
• Receives requested stock items & distributes them to the appropriate place within the laboratory
• Aliquoting of urine samples
  

Requirements:

• Minimally GCE "O" Level and above
• Able to start work on short notice

Interested and qualified applicants, please send your resume to ivy.yong@recruitexpress.com.sg

Ivy Yong Shi Mei

CEI Registration No.: R2198995

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Contract type: Full Time- permanent.
Location: Singapore.

JOB OVERVIEW
We are seeking a Senior Data Analyst to offer analytics support to crucial business sectors, with a focus on delivering valuable management information and insights to a diverse range of internal and external stakeholders. Key to this position is the capacity to collaborate with stakeholders at various organizational levels, ensuring their needs are transformed into both technical and non-technical outcomes. A vital aspect of the role involves actively contributing to advancing Study Group's transition towards a more data-driven culture, all while supporting data governance initiatives.

ABOUT THE ROLE

• Undertake simple and complex statistical analysis of a variety of different datasets whilst producing (and monitoring) performance measures, modelling scenarios and outcomes as necessary, for a variety of stakeholders across the organisation. This will include internal and external data, and the use of quantitative and qualitative analytics techniques. Data quality checks and screening are often necessary as is the ability to provide quality assurance re: imported data.
• Derive insights and explain/interpret trends identified, and their implications which can include presenting findings to stakeholders. This will involve preparing and leading on reports and producing suitable metrics which are appropriately benchmarked. An integral component of the role is ensuring that data is fully understood and utilised appropriately, providing further information or context as required, and training end users on new reports and dashboards.
• Manage and design the reporting environment, working to identifying areas to increase efficiency and automation of processes, whilst establishing and maintaining automated data processes. This will involve working with the Data Architecture Team around the data lake by identifying and revising reporting requirements. Will need to develop and maintain MI/data reports and dashboards. Reports often must be generated from multiple systems and some data integration work will be required. Also there is a responsibility to maintain documentation relating to reports and dashboards.
• Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like R, all in service of providing an accessible way to see and understand trends, outliers, and patterns in data.
• Manage complex data-related projects and the production of data products from their inception to conclusion, including those involving complex data modelling and forecasting. This will include supporting initiatives for data integrity and normalisation.
• Support adhoc requests for data.
• Process confidential data and information according to guidelines, with a complete understanding of GDPR and the Data Protection Act and the implications for the work – advising stakeholders as appropriate.
• Collaborate with colleagues to share knowledge and understanding of data analysis tools and techniques, ensuring effective data utilization. Contribute to discussions on systems, databases, platforms, software, and data tools, particularly concerning data and analytics requirements for new or upgraded systems.
• Take a lead in promoting improved data literacy within Study Group and contribute to fostering a data culture across the organization. Advocate for enhanced use and management of data at Study Group.

ABOUT YOU

• Undergraduate degree (2:1 or above) from a reputable university or equivalent experience.
• Preferably holds a master’s or PhD qualification.
• Extensive experience in a Management Information/Analyst role using Cognos Business Analytics or PowerBI, Tableau, advanced Excel, and SQL.
• Proven track record of effective collaboration with stakeholders in specialist and technical roles, including IT infrastructure, data, and analytics specialists, as well as senior executives.
• Demonstrated ability to exercise sound judgment and initiative in managing competing priorities and requirements while ensuring key objectives are met.
• Ideally experienced with SQL server, Microsoft Azure Data Lake, or Oracle databases and data warehouses.
• Highly desirable to have experience with Alteryx, R, and/or Python.

ABOUT US

Study Group is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, we are able to provide students with the resources and guidance they need to succeed. Our global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, our Insendi platform enables us to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available.

ORGANISATIONAL COMPLIANCE

Study Group is proud of its high standards in safeguarding and recognises its importance in enabling the best possible student experience and outcomes. For successful applicants, the following checks will be conducted- Criminal Background Check (country-specific), x2 References, ID and Right to Work checks as well as Education Verification.
We are proud to be an equal-opportunity employer and we strive to create a diverse and inclusive workplace. We are committed to providing equal opportunities for all individuals, regardless of race, gender, religion, nationality, or any other factor. We believe that the best person for the job should be selected based on skills and experience alone. Your information will be kept confidential and stored securely. Please see our Privacy Policy.

Software Engineer | Python | Entry-level

Working location: Central

Working hours: Office hours (Hybrid)

Remuneration package: Basic + AWS

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated peers, we welcome you to join us. These are newly created positions with many opportunities to make a difference!

Responsibilities:

• Actively participate as a valuable member of an in-house engineering team dedicated to mastering the design, development, and operation of Cloud Platforms.
• Learn and assist in deploying and managing applications on cloud platforms under guidance.
• Explore opportunities to contribute to automation initiatives at scale across multiple Cloud Service Providers.
• Seek guidance and provide support on DevOps methodologies, focusing on Automation, Availability, Scalability, and Resiliency.
• Focus on learning and contributing to API development, backend automation using Python, and ensuring code deployment security through various CI/CD toolchains like GitLab, Atlassian, and Terraform.

Requirements:

• Basic understanding of Python programming language.
• Interest in cloud infrastructure deployment and automation.
• Eagerness to learn agile development, secure pipelines, and deployment automation practices.
• Familiarity with version control systems like Git.
• Desire to explore cloud services such as AWS, Azure, and GCP.
• Willingness to learn about challenges in large-scale distributed systems.
• Enthusiasm for code security and the use of open-source tools in relevant domains.
• Passion for automation.
• Good to have: Basic understanding of Terraform and Bash scripting.
• Good to have: Interest in Cloud Landing Zone concepts like Control Tower, Terraform Landing Zone, Microsoft Azure CAF.
• Good to have: Curiosity about Site Reliability Engineering principles and application monitoring tools.

If you are excited with this opportunity and enjoy making things happen, do apply now!

OR

Email your updated resume to: spat(at)scientecpersonnel.com by quoting "J43729" in your email subject for faster processing.

All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781

You’ll join the Data Intelligence team and perform collecting, visualising and mining generated data from the pipeline of a payment-related system.

Responsibilities:

• Improve payment performance and drive business growth;
• Develop data pipelines and participate in the standard definition of data development;
• Build data quality system and complete data monitoring/verification process;
• Develop data-related product requirements, and be able to independently understand requirement, design schemes, and implement.

Qualifications:

• Bachelor's degree or above in Computer Science, Statistics, Mathematics or other related majors;
• At least 3 years of experiences in data engineering developing data pipelines;
• Proficient in at least one programming language such as Python, Java, Scala, Go, with a strong engineering background and interest in data;
• Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Flink/Storm, etc.);
• Familiar with OLAP engines (Hive/ES/Clickhouse/Druid/Kylin/Doris, etc.);
• Familiar with data warehouse architecture, data modelling methods and data governance; enthusiastic about data mining, strong business understanding and abstraction capabilities;
• Proficient in databases, strong SQL/ETL development ability;
• Experience in real-time data warehouse development is preferred.

• Permanent role with variable bonus
• Hybrid
• Experience in financial analysis/ data analyst who analyze business or finance performance

Role and Responsibilities:

•  Collect, analyze, and interpret data to identify trends, patterns, and potential areas for enhancing vessel financial performance.
•  Develop insightful analysis and assist internal stakeholders to provide recommendations with the objective of financial improvement.
•  Track and submit monthly KPI Report to management.
•  Manage business unit’s / sub-business units’ implementation of improvement actions.
•  Conduct benchmarking exercises.
•  Analyse data and provide insights for P&L forecasting and budgeting.

Requirements:

•  Bachelor’s degree in either business administration, accounting, data science, statistics, mathematics, or similar subject from a recognized university.
•  Minimum 3 years of relevant working experience.
•  The expertise to deep-dive and gain insights from data is a must.
•  Excellent charting and graphical representation skills to enable effective communication of insights to management.
•  Driven and a self-starter who enjoys working in a fast-paced environment.
•  Excellent problem-solving skills and a proactive approach to challenges.
•  Proficiency in data analysis, Microsoft Excel and MS PowerPoint. SAP is a plus.
•  Effective communication and interpersonal skills to collaborate with colleagues across departments and various internal and external stakeholders.
•  Proficiency in the English language, both verbal and written.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

Data Entry (Temporary/Part-Time)

Data Entry from old to new system.

Working Location: Orchard

Operating Hours: 9am to 6pm / Monday to Friday

Working Hours: Open to discuss working days and hours based on your availability.

Hourly rated

Interested applicants please provide brief profile and indicate your expected hourly rate for data entry role to [email protected] or apply online.

We thank all applicants for your interests. Please be advised that only shortlisted candidates will be notified.

Visit www.drgl.com to know more about us!

For enquiries, WhatsApp 9119 6591.

Job Description

• Industry/ Organization Type: Digitization solutions/services
• Position Title: Data Processing Executive
• Working Location: Marymount
• Working Hours: Monday – Friday, 9 am – 6.15 pm
• Salary Package: Up to $1,400
• Duration: Permanent

Key Responsibilities

• Checking all the inward documents with the provided list from customer.
• Document Preparation – Removing documents from bindings, removing staples, removing tags & binders.
• Scanning – Scanning of documents with production scanner.
• Quality Control – Checking all the scanned images with original documents and marking all the errors.
• Capturing indexes from documents and populating them in Excel or Word.
• Filling up all the records and reports required for daily production.
• Helping logistic person to receive and deliver documents from various clients.

APPLY NOW!!!

• Candidates without experience are welcome to apply.

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 #65852 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 | Norman Wee | EA Reg No.: R23115114

Job Description

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing,concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning,estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

Key Highlight:

• Great Exposure to the government sector
• Nearest MRT: Labrador Park
• Contract Duration: 11 months
• Salary: Up to $3,450 per month
• Working Hours: Monday – Friday (Office hours)

Key Responsibilities:

• Assist in researching and identifying sources of data, as well as support in external engagements with content providers.
• Support the data team in identification of data, tracking and coordination with content providers.
• Assisting the team with external partnerships (e.g. slides, minutes writing) and conducting desktop research for data collection.

Key Requirements:

• Only Singaporeans
• Minimum qualification: Degree in any related field
• Experience/knowledge or training in computer science and artificial intelligence will be a bonus

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Yee Kar Seng
Outsourcing Team
BGC Group Pte Ltd
Registration No.: R22107286
EA License Number: 05C3053

ROLES & RESPONSIBILITIES

• Act as data controller for the Company
• Monitor, identify, correct / resolve and report discrepancies
• Collect and maintain records
• Prepare weekly, monthly and adhoc reports
• Ensure data entry is completed in an accurate, efficient and timely manner
• Ensure confidentiality of data
• Serves as liaison between different departments within the Company in all matters relating to data
• Oversee and support reporting staff
• Any ad hoc duties as assigned by Supervisor

REQUIREMENTS

• GCE “O”/ ”A” Level
• 3 Years of experience in data control.
• Accuracy in data entry and ability to multitask effectively
• Ability to perform repetitive tasks with a high degree of accuracy.
• Comfortable working independently with no supervision.
• Good written and oral communication and interpersonal skill
• Detail-oriented and computer literacy
• Ability to troubleshoot when problem arises

- 5 days work-week

Work Location: Kaki Bukit View

Interested candidate please submit resume with current/last drawn salary and salary expectation.

Bank of Singapore is currently looking for a qualified candidate to assist the Data Engineering Team’s operational and analytical needs. The Technical Data Enginer will work alongside Data Analytics and big data platform (Hadoop) and engineering team to provide data related support, data ingestion, data interface for unstructured/structred data, data analytics and data management. This person will also assist in building interfaces from various upstream systems and ingest the data into Micrsoft SQL server 2019 / Cloudera Hadoop data store and build the enterprise visulasation tool. This is a great opportunity for someone who is interested in innovative group with the possibility of tremendous career development in data engineering, big data management, data analytics and enterprise data visulsaisation tool.

A little more about this role:

As our Technical Data Enginer, you will be instrumental in big data coding and work in Hadoop-ecosystem. This is a brand-new position at Data Competency vertical.

· Perform extensive unstructured data ingestion into Hadoop

· StronG knowledge of Anaconda, Data visualisation BI tool, Python, SPARK, Java Scala, HIVE and Beeline with hands on experience

· Ability to organize and lead meetings with business and operational data owners

· Experience in integrating data processes with architecture requirements used across company

· Understand Hadoop-ecosystem and Data Engineering activities as well as loading data from several disparate datasets and documentation

· Strong ability to troubleshoot and resolve data issues

· Analytical skill to perform data profiling and data visulization

· Experience in Agile and Waterfall frameworkWork

· Work closely with engineering and operations to document business processes

· Work independently and with team members to understand database structure and business processes

· Help form data management and governance processes within the data engineering team

What you’ll need to have:

· Graduate degree in statistics, math, computer science, physics or other technical related fields; Master’s degree is preferred

· Minimum of 10 years working experience in technical data analysis, data science, or data warehousing with proven business analysis experience

· Experience in at least one or more languages: SPARK, Java Scala,Python

· Experience writing Java Scala, Python

· Experience with Hadoop

· Hands on expierence or knowledge of minimum one mainstream cloud infrastructures:AWS,MS Azure and GCP; ablity to implement data lake.

· Good to have Hands-on experienceon the Hadoop, MangoDB,SPARK, Scala, HIVE, Kafka ,Beelin…etc

· Excellent communication skills

· Passionate about data and analyzing business needs

· Previous experience on a data team in an agile environment preferred

· Hands-on experience on the Hadoop ecosystem, HDFS, Hadoop, Spark, Scala preferred

· Develop in-depth plans and major milestones that must be approved by top management during the planning and design phases of the project.

Key Requirements:

• Minimum 3 years of relevant experience in Business Process, Business Requirement Analysis and System Understanding
• Minimum 2 years of hands-on experience as Microsoft Azure Data Engineer using Microsoft Azure Data Factory and Microsoft Azure Synapse Analytics / Datawarehouse
• At least (3) years of hands-on experience in Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing, Implementing Data Quality validation.
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

Good to have skills:

• Knowledge of Microsoft Azure Databricks
• Data modelling in Microsoft Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricingvarious financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling,time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

Responsibilities:

• Design and Develop Data Warehouses (DW)/Data Mart (DM) architecture, continuously enhance and improve to ensure it meets technical and business requirements.
• Manage and Maintain Data Warehouses: running smoothly, monitor system performance, diagnose and troubleshoot issues, and make necessary changes to optimize DB performance.
• Data Integration and Processing: processing, cleaning, and integrating large data sets from various sources to ensure that the data is accurate, complete, and consistent.
• Data Modeling: designing and implementing data modeling solutions to ensure that the data is properly structured and organized for analysis.
• Data Analysis, Reporting and Dashboarding: responsible for analyzing, and interpreting data to support decision-making. Utilize data analytics techniques to identify trends, track KPIs, and provide insights that drive business objectives.
• Collaboration: work closely with cross-functional teams
• Any other ad-hoc duties as assigned by supervisor

Qualifications & experience:

• Diploma, Bachelor’s or Master’s degree in computer science, data science, or a related field.
• 3 - 5+ years of relevant working experience in successful DW/DM implementation including experience in database performance tuning and query optimization.
• Experience in designing, developing, managing, and maintaining of Data marts, meta-data, data warehouse architectures.
• Proficient in cloud data warehousing technologies (Azure environment), including Microsoft BI technology (SSRS, SSIS, SSAS and Power BI) • experience in ETL, SQL, and data modeling techniques.
• Strong in programming languages such as SQL, Python, or R.
• Strong analytical skills to identify patterns and insights from large and complex data sets.
• Cloud Data Warehouse technologies such as AZURE Data Warehouse preferred.
• Experience in Machine Learning, AI and Statistics will be useful.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Reaching Out To You: HL Assurance Pte. Ltd. ("HLAS") is a licensed insurance company in Singapore since 2012 and a subsidiary of Hong Leong Financial Group Berhad ("HLFG"), a public listed company in Malaysia.

The Job:

Reporting directly to the CEO, you will be responsible to:

• Research market trends, conduct surveys, analyse data from competitors to identify patterns of potential improvements.
• Analyse business operations, acquisition costs and customer retention to measure effectiveness of campaign strategies.
• Determine the brand position of the company within the industry.
• Analyse customer database to determine propensity to up-sell and cross-sell to increase customer lifetime value.
• Analyse affinity partnership base to determine potential of the partnership and business opportunities.
• Analyse trends and forecasts to recommend improvements to the business processes.
• Organize and analyse data, create charts and graphs, and present findings to the leadership team.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data.
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data strategies.

The Requirements:

• Strong academic background with degree in finance, economics, accounting, mathematics, statistics, computer science or other quantitative discipline
• Proficiency in utilizing data analysis tools and software (e.g., Excel, SPSS, Q) to extract, manipulate, and visualize data effectively.
• Strong analytical skills with the ability to interpret complex information and present findings in a structured and understandable format.
• Excellent communication skills, both written and verbal, with the ability to articulate findings to diverse audiences.

Your Career, Our Passion - COME JOIN US NOW!
Interested applicants, please forward your detailed resume, stating qualifications, reason for leaving each employment, work experience, availability, current and expected salaries.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Manage and Support Customer’s Request including Weekly / Monthly Reporting requirement
• Attend to Customer’s routine Weekly / Monthly Meeting
• Preparation of off-site tapes based on standard SOP
• Monitoring of daily backup jobs based on standard SOP
• Manual changing of tapes for customers who had subscript to this services
• Remote hand support for our partners/customers (rebooting of servers or network equipment’s)
• Managing of all visitors visit within the Data Centre
• Managing of keys to all racks within the Data Centre
• Liaising with vendors/partners on customers issues
• Preparation of new rack or private vault for new customer
• Monitoring of incoming mails and response if within the job scope
• Answering of incoming calls and response if within the job scope
• Assist to maintenance and update all the necessary documentation
• Assist to cover level 1 engineer duties
• Working experience of Patch Panel distributions.
• Testing of cables as appropriate.
• Maintain rack allocation and data center process and procedures. Support audit activities.
• Oversee environmental conditions to ensure power requirements; power distribution, HVAC are operating within guidelines.
• Maintain inventory and labelling of equipment and removal decommissioned hardware.
• Oversee, or perform, daily, weekly and monthly inspections of infrastructure supporting data center operations.
• Report to management all data center and computing facility incidents.
• Support the company’s commitment to protect the integrity and confidentiality of systems and data.
• Any other ad-hoc work related to Data Centre operations.

Job Requirements:

• Minimum Diploma in Info-communication technology
• Basic knowhow in MS office.
• Detailed knowhow about Copper Cablings of Data Centre.
• Detailed Knowhow about fiber cable types, connectors, use etc.
• Experience in backup software (such as VERITAS and Legato) will have an advantage.

To apply please click the Apply button or send us your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is undergoing a growth phase and are on the lookout for talent. Applicants are encouraged to follow Percept Solutions on LinkedIn @ https://www.linkedin.com/company/percept-solutions/ to stay up to date on our upcoming roles and events.