Total 3,992 data entry clerk job vacancies in Information Technology category in Singapore

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Please send your detailed resume in MS Word format including the following details to : [email protected]

1. Recent photograph

2. Personal particulars

3. Education Level

4. Each employment background

5. Working experience

6. Reason for leaving each employment

7. Last drawn salary

8. Expected salary

Key accountability (Main purpose of this job):

The Data Analyst plays a pivotal role in driving data-driven decision-making across our school. You will be responsible for designing and implementing data analysis strategies, extracting insights from various data sources, and communicating actionable findings to stakeholders to improve student learning, operational efficiency, and overall school performance.

The Data Analyst is also responsible for building and maintaining an accurate school timetable that organises and supports student learning.

Responsibilities (Key areas of Responsibilities):

Data Acquisition and Management:

• Develop and implement data collection strategies for academic, student, and operational data
• Design and maintain data pipelines to ensure data accuracy, completeness, and accessibility
• Perform data cleaning, transformation, and integration tasks
• Manage data quality and implement data governance practices
• Extract, transform and load data from various sources into Google BigQuery

Data Analysis and Reporting:

• Conduct in-depth analysis of student performance data (e.g., standardised test scores, grades, attendance) and Operational data (e.g., HRMS, Facilities Management System, IT Systems etc) to identify trends, patterns, and areas for improvement
• Analyse student engagement and learning behaviours to inform instructional strategies and curriculum development
• Develop and deliver data-driven reports and presentations including actionable insights to stakeholders, including teachers, administrators, and leadership teams
• Generate regular and ad-hoc reports to support decision-making at both strategic and operational levels
• Create and maintain dashboards and visualisations to effectively communicate data insights
• Comprehensive data analysis using SQL queries and advanced BigQuery functions

Predictive Modelling:

• Develop and implement predictive models to forecast student performance, identify at-risk students, and optimise educational strategies
• Use statistical techniques to analyse historical data and build models that contribute to academic success and overall school improvement

Data Visualization:

• Create visually appealing and easy-to-understand dashboards and reports to communicate complex data findings to non-technical stakeholders
• Utilise data visualisation tools to present insights in a compelling and accessible manner
• Facilitate the development of new engines and modifications of existing engines in order to meet CIS data visualisation needs

Decision Support:

• Partner with stakeholders to identify data-driven solutions to address specific challenges and opportunities
• Utilise data analysis to support strategic planning, resource allocation, and program evaluation
• Contribute to the development and implementation of data-driven initiatives and projects.
• Meet with collaborators to understand and meet their data needs and goals. For example to create systems for the easy access of data to support events like UN Week, excursion lists, estimate foreign language book purchases
• Consult with collaborators to streamline their work process including data collection and presentation
• Clearly and concisely communicate complex data insights to technical and non-technical audiences

Surveys and Data Reports (School and Operational):

• Coordinate with stakeholders to properly set up the survey/form on the survey platform
• Transform and load data into BigQuery in appropriate format
• Make data accessible to relevant stakeholders through Google Sheets or Looker Studio or on the platform dashboard reports
• Focusing in managing, producing and visual creation of the data for departments Academic, HR, Finance, Admissions, Marketing etc (eg. enrollment trends, market analysis, comparison of data etc)
• Supporting the stakeholders in strategic decisions using the data sources by providing data insights on trends, comparison and market analysis

Early Years, Primary and Secondary Timetable:

• Collaborate with vice principals and the IT department to build the primary and secondary timetable and make structural changes as needed throughout the academic year
• Liaise with the timetable software provider for support and help with problem solving
• Coordinate a data calendar to support regular review cycles
• Setup Web Preferences to gather student’s subject choices for the next school year
• Coordinate with VPs to calculate accurate teaching loads and duty schedules
• Optimise timetable for all academic staff to maintain fairness

Student Support

• Maintain SWELL student information dashboards and Tier 1, 2 and 3 monitoring tracking while also supporting processes to streamline data entry
• Maintain ELL student information dashboards
• Advise SWELL and ELL admin support on best practices for bulk student reporting and parent contacts
• Create and maintain a system for tracking ELL, Learning Support and Caregiver students’ data between admissions and the SWELL and ELL departments to optimise student placement and staffing

Other Responsibilities:

• Stay current on the latest data analytics trends and technologies in education.
• Collaborate with other departments and teams to ensure data-driven decision-making is integrated across the school.
• Promote a data-driven culture within the school community.
• Ensure compliance on data protection with the data source.

Requirements:

• Bachelor Degree in data science, statistics, education, or a related field, or equivalent experience.
• Minimum 5 years of experience in data analysis, preferably in an education setting.
• Strong analytical skills and experience working with various data sources and tools (e.g., SQL, Python, R, Looker, Looker Studio, Tableau, Power BI).
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for diverse audiences.
• Experience working in a fast-paced environment and managing multiple projects simultaneously.
• Strong problem-solving skills and ability to think creatively.
• Passion for education and a commitment to using data to improve student learning outcomes.

Astek is offering a role of Data Engineer to be based in Singapore.

Responsibilities:

• You will be supporting data engineering activities for Data Warehouse.
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling

Requirements:

• Experience in Oracle PL/SQL and Informatica PowerCenter.
• Ablity to design, implement solution, and perform code review
• 1 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).
• Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Denodo and Python would be advantageous

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Salary: up to $2500

Working Days & Hours: Mon-Fri Office Hours

Location: Novena

Job Description:

• Perform investigations and reports results of haematology clinical chemistry and urinalysis.

• Perform skin scrapings, microscopic examinations for fungi and report results.

• Perform slit-skin smears, microscopic examinations for M.Leprae and reports results.

• Microscopic examinations for wet and stained smears for micro-organisms and reports results.

• Work in all laboratories by rotation.

• Undertake duties as assigned by Medical Technologist/Senior Medical Technologist.

• Perform sorting and compilation of laboratory request forms.

• Key in test results and other laboratory data into computer.

Job Requirements: Min Diploma in Biomedical Science or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

The primary objective of the Data Protection Solution Architect is to drive leads and pipeline for Veeam. Responsible for providing technical expertise, enabling sales team, supporting pursuit activities, engaging with customers, and delivering compelling presentations

Role:

• Promote and advocate our data protection solutions, particularly Veeam, to customers, partners, and industry forums.
• Collaborate with the sales team to develop effective strategies and plans to drive leads and pipeline for Veeam.
• Engage with customers during the pre-sales process to understand their specific data protection requirements and recommend appropriate solutions.
• Collaborate with the sales and solutions engineering teams to develop and deliver compelling proposals, presentations, and demonstrations.
• Act as a trusted advisor to the sales team, providing technical expertise and support to accelerate sales opportunities.
• Deliver engaging and persuasive presentations to customers, showcasing the value and benefits of our data protection solutions.
• Customize presentations and demonstrations to align with customer needs and requirements.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Industry certifications in data protection (e.g., Veeam Certified Engineer, Certified Data Protection Professional, etc.).
• Minimum of 7 years of experience in a Solution Architect, Pre-Sales Engineer, or similar role in the data protection domain.
• Proven track record of success in driving leads and pipeline for Veeam or similar data protection solutions.
• In-depth knowledge and expertise in data protection technologies, including backup, recovery, replication, and disaster recovery.
• Experience in delivering technical training sessions and workshops to sales teams, partners, and customers.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Data Center Engineer (Facilities)

Job Responsibilities:

• Conduct regular patrols and inspections of the power supply and HVAC systems within the data center.
• Perform scheduled preventative maintenance tasks to ensure the optimal functioning of the data center infrastructure.
• Perform remote hands services include tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.
• Respond and deal with emergency events in daily operation.
• Manage and oversee the Building Management System (BMS), promptly addressing and responding to any generated alerts.
• Ability to respond to issues and provide timely update, and escalation.
• Handle routine alarms and faults of power supply and distribution devices and HVAC systems.
• Maintain & update the relevant operation records, maintenance records, accident handling records and shift handover records.
• Maintain the environment cleanliness and temperature and humidity.
• Manage the safety appliances and instrumentation tools.
• Provide escort to visitors/ technicians to the Data Center room and witness the works that been carried out in the Data Center room.
• Have experience with supporting Data Centre related change and incident tickets.
• Adept with coordinating with multiparty stakeholders.
• Ensure all the compliance of all regulatory laws and company guidelines are met.

Requirements:

• Min of 2 years working experience in Data Center operations/ Data Center facilities maintenance. Candidate with more experiences will be considered for a senior position.
• Diploma or Degree in Computer science, IT systems, Electrical Engineering or any related field.
• Good understanding and hands-on experience on daily Data Center operations.
• Good level of understanding of Data Centre ecosystem e.g. power, cooling, temperature, humidity, fire prevention etc.
• Good level of experience in Capacity review e.g. rack assignment for equipment onboarding.
• Good level of experience in Physical Security operations (e.g Keys and access cards management, and Physical Access).
• Good level of experience in Rack and Stack.
• Good understanding and knowledge in data cabling, i.e. structured cabling, and patching is added advantage.
• Have experience with inventory management. i.e. Nlyte is added advantage.
• Proficient in Microsoft Office (Excel, Word and PowerPoint).
• Proficiency in English for communication with business partners.
• Proficiency in local languages is added advantage.
• Able to work rotating shifts, including weekends and public holidays.

Schedule:

• Rotational shift
• Weekend jobs
• Shift allowance provided

Job Description:

• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job Requirements:

• Minimum Diploma
• Knowledge and experience working within in pharma/medical industry is preferred but not required

Interested candidates do attach your resume to [email protected]

Attn: Angela Celeste Poh Li Ying (R2095367)

Recruit Express Pte Ltd (99C4599)

Job Description:

· Perform administrative support in the office

· Preparing of tax invoices, delivery orders and other documentation work

· Planning and arrangement for logistics movement

· Control of inventory and stock taking

· Other duties as assigned

Requirements:

· Possess at least A Levels or Diploma in any field

· Able to commit for at least 3 months

· Able to commence work immediately or in short notice

· No experience needed, full training will be provided.

· Keen interest in the healthcare/ medical industry

Interested candidates please send a copy of your resume to [email protected]

Email Subject: Admin Assistant

Leon Leong De Cong
R1551708

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

We are looking for a Senior Data Architect to be a part of our #blazeclan Singapore team!

This is an exciting opportunity for a qualified professional with an overall 15+ years of experience to join and add value to one of the Fastest Growing BIC (Born in the Cloud) company.

We would like to hire enthusiastic people who thrive on taking on challenging roles in order to give them an opportunity to hone new skills and try novel approaches.

As we are growing, we embrace diversity in thought, contribution and are committed to providing an equitable work environment.

Experience: 15 years – 20 years

Location: Singapore

Salary Range: SGD 14000 – SGD 17000

Job Description / What you will do:

• Act as a trusted advisor for our clients by designing and building analytics cloud solutions to enable better outcomes
• Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies
• Analyze current business practices, processes, and procedures as well as identify relevant Microsoft Azure Data & Analytics IaaS, SaaS and PaaS services
• Support the use of data-driven insights to help our clients achieve outcomes and goals whilst respecting security requirements
• Design and build data pipelines, data streams, reports, information dashboards, data services APIs, data generators and other data-relevant services
• Work across client stakeholders to gather solution requirements and propose architecture decisions
• During implementation collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources
• Have a sound understanding of consumption cost drivers in Azure cloud-based solutions
• Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics
• Be a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics

What you will need for the role:

• Minimum of 15+ years of experience with large-scale data and analytics solutions
• Must have worked on Azure synapse.
• Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
• Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.
• Experience with exposing data to end-users via Power BI, Azure API Apps.
• Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
• Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL
• Experience in turning business use cases and requirements into technical solutions
• Experience in business processing mapping of data and analytics solutions
• Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies
• Experience driving knowledge transfer and/or training programs
• Experience with agile delivery methodologies, proof of concepts and prototyping
• Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps

Good to have Skills:

• Knowledge of Master Data Management (MDM) and Data Quality tools
• Experience in managing teams, being a technical coach
• Experience with preparing data for Data Science and Machine Learning purposes
• Experience with Azure data, Machine Learning and Artificial Intelligence solutions

At least one of the below certifications:

1. Microsoft Azure certified Architect
2. Microsoft Certified: Azure Data Engineer Associate
3. Microsoft Certified: Azure AI Engineer Associate
4. Microsoft Certified: Azure Enterprise Data Analyst Associate
5. Microsoft Certified: Power BI Data Analyst Associate
6. Microsoft Certified: Azure Data Scientist Associate
7. Microsoft Certified: Power Platform Solution Architect Expert

We are Great Place to Work certified; looking for technically forward, cloud-savvy professionals.

Join us and commit to work in an ambiance that is free of prejudices.

If you think you could be the perfect fit for us, then take the leap and apply today!

Let us know at: [email protected]

We would love to hear from you!

The successful candidate will play an integral role in ensuring data ingested into the organization’s enterprise system to meet the stringent quality requirements required by business. These data are in turn required by business in their pursuit of alpha returns.

• On a day to day basis, he/she will also be involved in various data management tasks, including unstructured data.

Requirement:

• Degree from a recognized tertiary institution.
• At least 2 years of hands-on experience in data management or data analytics within investment and banking industry.
• Experience in SQL and Python.
• Confident and comfortable engaging with various business end users and stakeholders at all levels.
• Meticulous, with a keen eye for details, especially with numbers.
• Experience with data validation and correction tasks.
• Able to multi-task across various activity streams

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Role

The Document Imaging Specialist (Team Leader) is a member of a team responsible for service delivery through efficient scanning operations at an Iron Mountain customer site. It is paramount for the Document Imaging Specialist to be able to provide a balance between efficiency and cost consciousness while delighting the customer by exceeding expectations.

Responsibilities

• Oversee for all workplace activities within the team, assign tasks to team members, and be responsible for the success of team initiatives.
• Coaching to improve team member skill sets and identifying areas for improvement.
• Respond to customer enquiry and problem solving.
• Consolidate daily/ weekly and monthly report.
• Conduct staffs training
• Deliver a great service and build strong trusted relationships with client
• Deliver a range of Document Imaging services and support to the client with minimal or no supervision
• Receive, sort, batch and prepare hard copy documents for scanning
• Remove all bindings correctly, without degrading the hard copy document.
• Repair and prepare hard copy documents for auto-feed scanning as required.
• Operate and maintain high-speed production scanners equipment to scan hardcopy documents to digital form
• Ensure that all required physical pages are scanned and all scanned images are clear, complete and orientated correctly
• Capture data from scanned images accurately and completely within keystrokes performance measurements
• Perform quality checks on scanning, data entry and final digital output; rework as required.
• Restore hard copy documents to original form as required for packing into archive boxes
• Ensure daily record keeping functions are completed and reporting information is maintained
• Collaborate with the team to problem solve to ensure efficient service delivery that meets SLA
• Identify and implement opportunities for process improvement
• All other duties as assigned by management

Job Requirements:

• Minimum of 2-year experience in document processing in a regulated industry (applicants without experience will be considered for entry-level position)
• Minimum “O” Level Certification
• Previous scanning and indexing experience will be added advantage
• Excellent customer service mind-set and good communication skills
• Proven record working in a fast-paced and time sensitive environment with little to no errors
• Absolute team player, and look to enjoy working with a close-knit team
• Attention to detail, responsible and organized
• Basic computer literacy skills in MS Excel and Word
• Willing to be deployed across different sites on short notice
• Willing to OT as per required
• Acceptable to do cross-functional learning/job rotation as per Management’s request

We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will have expertise in Oracle PL/SQL, Informatica PowerCenter, and Python. As a Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and systems that ensure the smooth flow of data across various platforms and applications.

Responsibilities:

• Design, develop, and maintain data pipelines using Oracle PL/SQL, Informatica PowerCenter, and Python.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Optimize and tune existing data pipelines for performance and scalability.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data.
• Troubleshoot and resolve issues related to data processing and integration.
• Stay up-to-date with the latest technologies and best practices in data engineering.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 1 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).
• Strong proficiency in Oracle PL/SQL, Informatica PowerCenter, and Python.
• Experience designing and developing complex data pipelines and ETL processes.
• Solid understanding of relational database concepts and SQL.
• Experience with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Must be able to clear CAT 1 Clearance

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like

ACIA’s Climate Risk Advisory team is currently looking for an experienced Data Scientist to help empower results for our clients by providing high quality business analysis deliverables to product managers, product owners, and other development team members.

In this role, you will have an opportunity to work with newer modern technologies as well as tried and tested traditional technologies in the data ingestion/wrangling/storage toolchain as well as mainstream BI visualization tools.

Responsibilities

• Lead the development and/or improvement of analytic models through design, testing and implementation to improve scalability, efficiency and accelerate delivery of insights
• Develop clear and well-structured analytical approach on datasets to generate commercial insights
• Source and visualize data across multiple sources
• Create mock-ups, prototypes and technical work flows using wireframe or any other business process tools.
• Work closely with fellow analysts and developers in implementing business intelligence and machine learning deliverables
• Document and interact with the stakeholders tended benefits
• Interact and engage with data and analytics colleagues in different locations to ensure alignment with broader analytics roadmap
• Support and co-ordinate testing activities across all phases of projects including unit testing, integration testing, user acceptance testing and downstream testing
• Develop general consulting skills, knowledge and exposures

Skills and experience that will lead to success

• 5 years of experience in similar role
• BS or MS degree in actuarial science, mathematics, computer science or other related field with strong statistical background
• Working knowledge in data visualization tools such as PowerBI or equivalent
• Proficient in statistical analysis (hypothesis development, testing, regression) and experience with building scalable analytic models, reporting pipelines, with Python preferably
• Strong analytical and organizational skills, demonstrates structured and logical thinking to problem solving
• Ability to take initiative in an unstructured environment, demonstrating a bias towards action and high attention to detail
• Able to quickly and competently build relationships
• Knowledge of best practices to ensure maintainability and efficiency of data-centric projects
• Quick and eager student of innovative technologies and skills where required

Responsibilities

• To provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc
• Have the vision on data strategy and able to deliver the same.
• Able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
• Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.
• To evaluate and recommend data-related technologies, tools, and platforms.
• Collaborate with IT teams to ensure seamless integration of data solutions.
• Implement and enforce data security protocols and ensure compliance with relevant regulations.
• Ability to work in team in diverse/ multiple stakeholder environment.
• Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

Required Qualifications:

• Bachelor’s degree in computer science or STEM (science, technology, engineering, or mathematics)/ related field.
• At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.
• At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).
• Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.
• Professional experience working in an agile, dynamic and customer facing environment is required.
• Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
• Understanding of data streaming and scalable data processing is preferred to have.
• Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. In-depth knowledge of Snowflake and its architecture is preferred.
• Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.
• Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.
• Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
• Technical expertise with data models, data mining and segmentation techniques.
• Experience with full SDLC lifecycle and Lean or Agile development methodologies.
• Knowledge of CI/CD and GIT Deployments.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis.. The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

More information about us: https://www.actxa.com/

Actxa is hiring for Data Scientist

1. Data Analysis and Modeling:

Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.

Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

Implement data-driven solutions to optimize preventive health strategies and personalized patient care.

2. Feature Engineering and Model Development:

Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.

Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

3. Productization and Code Transfer:

Follow through toward productization by transferring algorithms and codes into scalable, production-ready solutions.

Work closely with the engineering team to integrate models into the company's systems or products.

4. Documentation and Reporting:

Document research, experiments, modeling techniques, and methodologies followed in projects.

Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

5. Collaboration and Communication

Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.

Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

6. Data Collection, Processing and Preprocessing:

Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

Implement data pipelines and automation processes for efficient data processing and extraction.

7. Continuous Improvement and Innovation:

Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

Propose and explore innovative methodologies and techniques to improve predictive modeling and data analysis within the healthcare domain.

Requirements

Bachelor or Master degree in Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.

Good understanding or experiences in analog signal and noise processing is required.

Proven experience in applying machine learning algorithms and statistical methods to healthcare data.

Proficiency in programming languages like Python, R, or similar for data analysis and modeling.

Strong understanding of healthcare systems, medical terminology, and electronic health records (EHR) is preferred.

Experience with tools and frameworks such as TensorFlow, PyTorch, scikit-learn.

Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

Natural tenacity, resilience, and determination.

Benefits

What do we offer?

Fun working environment

Flexi benefits

Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Responsibilities:

·Plan, execute, monitor and assist in the installation and ongoing support and maintenance of all hardware, software and networks in project delivery

·Conduct root cause analysis & implement pro-active measures

·Responsible for supporting operational systems satisfying contractual Service Level Agreement

·Perform and manage routine preventive maintenance and operational activities promptly and effectively

·Perform troubleshooting and fault rectification

·Provide up-to-date project documentation and reports

·Diagnose and rectify technical issues

·Perform standby duties if required

Requirements:

·Experience in Windows server OS, Unix/Linux OS & virtualization environment (VMware, HyperV etc.)

·Strong troubleshooting skills and analytical mind with problem-solving aptitude

· Excellent written and verbal communication to convey technical ideas to both technical and non-technical audiences and contribute within a team environment

·Pro-active, dynamic and with good analytical/conceptual thinking

·Able to work independently as well as in a team and good interpersonal skills

·Good Working knowledge with VPN, firewall appliances would be an advantage

·Good working knowledge with routers, switches would be an advantage

·Good working knowledge in hardware like servers, storage area networks (SAN), network-attached storage (NAS) devices

•Experience in hardening of OS, system and network equipment

•Experience in Patch Management

•Good Knowledge of IT Infra services like Active Directory, DHCP, DNS, Exchange/Mail Service, Database, Web or App Server etc.

·Entry level candidates are welcome. Candidates with complexity of experience will be considered for a senior role.

You may submit your resume to [email protected] for immediate processing.

Only Shortlisted candidates will be notified.

(EA Reg No: 20C0312)

Permanent, 5 days, Eunos

Our client:

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

Job Scope

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

Requirement

· Diploma/Degree in Engineering related field

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

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

Added advantage:

Experience of uninterruptible power supply (UPS) or Electrical Boards

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Permanent, 5 days, Eunos

Our client:

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

Job scope

· To identity and develop new businesses for facility maintenance contract in the data center

· Full cycle from prospecting to presentation n closing

· Prepare costing, quotations to customers

· To coordinate with the technical team on fulfillment of sales contract secured

Requirement

• Diploma in Business Studies/Marketing/M&E or IT related field
• 1years relevant sales experience in M&E or data center.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Permanent, 5 days, Eunos

Jos scope

· To perform trouble shooting onsite

· To be in charge of preventive maintenance for electrical power system – UPS System and data centre equipment.

· To perform onsite installation, testing and commissioning of UPS, batteries and electrical power system equipment.

· To record safety and technical documentation.

Requirement

· Min NITEC Diploma Electrical, Electronics Engineering or equivalent

· 3years of hands-on working experience in electrical power systems.

· Familiar with electrical, mechanical

· Singapore Class 2B and/or Class 3 license

· 24/7 on call standby (Extra allowance will be provided) (Rotating 1sthalf or 2nd half of month)

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Permanent, 5 days, Eunos

Jos scope

· To perform trouble shooting onsite

· To be in charge of preventive maintenance for electrical power system – UPS System and data centre equipment.

· To perform onsite installation, testing and commissioning of UPS, batteries and electrical power system equipment.

· To record safety and technical documentation.

Requirement

· Min NITEC Diploma Electrical, Electronics Engineering or equivalent

· 3years of hands-on working experience in electrical power systems.

· Familiar with electrical, mechanical

· Singapore Class 2B and/or Class 3 license

· 24/7 on call standby (Extra allowance will be provided) (Rotating 1sthalf or 2nd half of month)

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

5 days, Permanent, Eunos

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

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

· Active prospecting, identify sales opportunity.

· High technical proficiency in identifying b2b corporate client need

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

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

Requirement

· Min diploma in mechanical/electrical engineering

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

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

· Able to work in bilingual environment.

Work location : Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified

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

Our client

Data Centre Builder

Job Scope

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

·

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

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

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

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

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.