Total 206 data entry clerk job vacancies in Information Technology category in d04 harbourfronttelok blangah sentosa island

Objectives of the position:

Data Analyst plays a critical role in driving continuous improvement, operational efficiency, and waste reduction across APAC and serves as the in-house expert for deriving actionable insights from Operations and Product management data to drive operational efficiency and support business decision-making. The analyst understands Operations and Product management data, requirements, gathers and consolidates data across APAC region, and distills this information into concise, actionable insights that can be effectively communicated to management and other stakeholders.

Key Responsibilities

• Develop clear and compelling visualizations to effectively communicate complex data insights to both internal and external stakeholders, enabling informed decision-making.
• Provide detailed analysis and actionable insights to support strategic and operational decisions, ensuring alignment with overall business objectives.
• Aggregate and interpret data from various sources to uncover trends and patterns, with a focus on process optimization and waste reduction.
• Collaborate closely with operations, supply chain, and product management teams across APAC to achieve organizational goals.
• Create and maintain dashboards that offer real-time visibility into key performance indicators (KPIs) across operations, logistics, purchasing, product, and management functions.
• Establish, measure, and refine KPIs to ensure they align with business objectives and drive continuous improvement.

Skills & Qualification

• Ability to present data insights clearly and persuasively to various stakeholders, including senior management and external partners.
• Ability to think critically and creatively to solve complex problems and optimize processes.
• Ability to analyze financial data and understand the financial impact of Lean initiatives on cost savings and ROI.
• Proficiency in visualization tools such as Tableau, Power BI, or QlikView for creating impactful dashboards and reports.
• Proficiency in Python and/or R for performing statistical analysis, creating predictive models, and managing large datasets.
• Experience with statistical methods such as regression analysis, hypothesis testing, and time-series analysis.
• Experience in planning, executing, and monitoring projects, including resource allocation and risk management.
• Strong focus on detail to ensure accuracy in data analysis and process improvements.
• Proven track record of successfully implementing practices in various operational settings.
• Proven ability to lead cross-functional teams and manage projects from initiation through completion.
• A bachelor’s degree in business management or a closely related field such as data science.

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspiration. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch, obsessed with solving human capital business problems in talent development, using deep technology and labour market data. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers who are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

JobTech is a product start-up looking to solve real world labour problems and deliver the best possible experience to our end users. We're seeking passionate, self-motivated individuals who thrive in dynamic environments.

• Extract insights from raw data and present them clearly through reports, visualisations, or analysis.
• Assist sales and marketing teams by generating and maintaining statistical reports and data.
• Collaborate with data scientists to curate and improve JobTech’s data engine, including but not limited to data curation and model improvement.
• Address client queries on JobTech’s data and analytics solutions, validations and capabilities.
• Independently diagnose and resolve data quality issues, implementing effective solutions.
• Propose, manage and build long term solutions to improve data integrity (both engineering and people management aspects).
• Research, evaluate and experiment on new data models or improvements on existing models.

Requirements

• A self-starter that can thrive in a fast-paced environment.
• Passionate about data analytic techniques, and willing to pick up new skills/tools.
• Proficient in Python (for data analytics) and SQL, 1 to 2 years of experience is required.
• Willingness to engage in solutioning discussions and resolving data related issues as and when required for external clients
• Hands-on experience with text mining or NLP will be a plus.
• Experience with interactive visualisations or dashboard frameworks such as Plotly and Dash is an added advantage.

Note: Compliance with our stringent information security policies is mandatory.

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Data Entry Administrator

1) Creation and maintenance of Parts, Supplier Details and all other relevant information for the Department

2) Maintaining records of invoices and payment details in the System

3) Assist in generating reports and extracting data as needed for different business needs

4) Assist in creating Purchase Orders and/or Purchase requests and maintaining a proper document control register for the Department

5) Maintain confidentiality and adhere to data protection policies while handling sensitive information

6) Collaborate with team members to ensure timely and accurate completion of data entry tasks

7) Maintain confidentiality and adhere to data protection policies while handling sensitive information

8) Providing administrative and clerical support which includes but not limited to scanning, filling, photocopying, faxing, answering phone calls

9) Ensure compliance to policies and procedures when performing day to day activities.

10) Undertake Ad-hoc tasks & duties assigned by the Office Manager

Requirements

- Diploma or equivalent

- Must be Proficient with MS Office

- Strong organizational and time management skills to prioritize tasks

- Strong attention to detail and ability to identify errors

- Proactive, takes initiative and well organised

- Quickbooks (QBO) and/or SAP knowledge is an advantage

- Able to work independently with the ability to multi task

Position Summary:

This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.

Roles & Responsibility

• Build and manage Data & ML Engineering projects.
• Develop and maintain data/ML pipelines using Snowflake and Azure.
• Create and implement data visualizations using Qlik.
• Ensure seamless integration and deployment of models through DevOps and ML ops processes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Advocate for data-driven decision-making across the organization.
• Promote data literacy across the BU.

Qualifications

• Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
• Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
• Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
• Agile/DAMA/Azure certification is a plus
• Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
• Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
• Strong communications skills.

Job Description:

• Basic Accounting (E.g. bookkeeping, data key-in, etc.)
• Receive delivery order from client and update job instruction into company in-house system
• Provide general administrative duties (E.g. scanning, printing, filing of document, quotation, accounts related document, paper work & etc)
• Support general office operation
• Vendor sourcing and procurement
• Monitor shipment of order
• Ad-hoc duties from manager

Requirements:

• Minimum GCE 'N' Level
• 1 year admin clerk experience preferred
• Meticulous and good eye for detail
• Pleasant disposition and customer-service oriented
• Able to competantly speak Mandarin
• Able to commit to some over time
• 5.5 days week

Workplace: Keppel Distripark Warehouse

Blk 519 Kampong Bahru Road #02-108 S(099453) Keppel Distripark

Mon - Fri: 8.30am to 6.15pm

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

• Perform daily data entry duties and depot operations activities.

• Maintain, update and ensure accuracy of daily movement report.

• Raise estimates of repair of containers for clients.

• Attend & respond promptly to customers’ orders & enquiries.

• Other ad-hoc duties as assigned by superior.

Job Description: Data Analyst

As a Data Analyst at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Computer Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 2 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

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
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

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
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Others

Conversant in Microsoft Office products

• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

Responsibilities:

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

Experience:

• Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.
• Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.
• familiarity with Power BI for data visualization.

Skill:

• Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).
• Advanced skills in Microsoft Excel, including macros and complex data functions.
• Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.
• Ability to handle large datasets, interpret trends, and provide actionable insights.

Roles & Responsibilities

Responsibilities:

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

Experience

• Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.
• Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.
• familiarity with Power BI for data visualization.

Skill

• Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).
• Advanced skills in Microsoft Excel, including macros and complex data functions.
• Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.
• Ability to handle large datasets, interpret trends, and provide actionable insights.

Allied Container Group is a leading container haulage operator and yard operator founded in Singapore in 1975. We are dedicated in using technology to improve the lives of small businesses and consumers in the logistics sector.

As part of the team, we are looking for Data Entry Clerk

Job Highlights

• We offer attractive salary commensurate with work experience
• Great opportunities for learning & career advancement
• Medical, dental & insurance benefits

Job Responsibilities

• Handle daily depot operations activities
• Maintain, update, and ensure accuracy of daily movement report
• Raise estimates of repair of containers for clients
• Attend & respond promptly to customers’ orders & inquiries
• Other ad-hoc duties as assigned by superior

JOB REQUIREMENTS

• GCE 'O' level qualification and above
• 1 to 2 years of working experience
• Able to work independently
• Meticulous and have a keen eye for details with an inquiring mind

Interested Applicants, pls WhatsApp us at 8082 6811 for instant interview

Are you a data analyst who is passionate about governance and transforming data into actionable insights? In this role, you will foster strong relationships with key stakeholders in the region, leveraging your data expertise and experience in data management to achieve meaningful outcomes. If you have a strong understanding of data sensitivity and enterprise architecture, this opportunity is for you.

Key Responsibilities:

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

General Requirements:

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

Key Competencies

• Enjoy capturing and analysing large amounts of data
• Natural problem solver
• Analytical thinking
• Great interpersonal skill

Roles & Responsibilities

• Data entry
• Coordinate production administrative support
• Administrative support to the supervisor
• Other ad-hoc duties assigned by the supervisor

Requirements

• Accuracy and attention to details
• Ability to understand process flow
• Proficient in Microsoft Word, Excel and Powerpoint

Working Hours: Flexible (at least 3 days a week) *Can be discuss

Normal Working Hours: Monday to Friday (8.30am to 6.00pm)

Working Location: Tuas Link 1

Hourly Rate

• Perform daily data entry duties and depot operations activities.

• Maintain, update and ensure accuracy of daily movement report.

• Raise estimates of repair of containers for clients.

• Attend & respond promptly to customers’ orders & enquiries.

• Other ad-hoc duties as assigned by superior.

Responsibilities

• Perform document related activities, eg. Sorting, preparation, scanning
• Perform data entry of materials
• Able to work as a team
• Other related duties assigned

Requirements

• Basic typing skills
• Good computer knowledge
• Candidates who are willing to work at other area are encouraged to apply
• Able to start work immediately preferred
• Training provided

Available options:

• Day shift: Monday to Friday 8:30am - 5:30pm

Work location

• 47 Jalan Buroh Singapore 619491

Salary : $1,400.00 /month & Gross up to $1,600/month

• Good Base+great benefits!
• Experienced in leading a team, familiar with building CI/CD data pipelines, Git/Docker, Sparks/Hadoop etc
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the LOGIN TO APPLY button with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

Your Mission

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the ideated solutions in a production environment.

What To Expect

HMGICS is seeking data scientists with a deep interest in solving real-life industrial problems and applying their solutions at scale in a mass-production environment. Candidates should have a technological interest in at least one of the following domains: Data Analytics, Optimization, AI/ML, or Generative AI & LLMs. Additionally, candidates should have a functional interest in at least one of the following areas: logistics, supply chain, assembly, quality, maintenance, or enterprise functions.

• Participate as a data scientist in multi-disciplinary project teams aiming to improve the performance of our production environment in specific areas such as logistics and supply chain, assembly, maintenance, and quality.
• Perform explanatory analytics to understand the key underlying drivers of performance and how to further optimize them.
• Develop and maintain optimization or predictive models as required to assist production in delivering productivity, flexibility, quality, or sustainability improvements.
• Deploy these models in production and train engineers and technicians to leverage the insights for improving their day-to-day performance.

What You'll Bring

• Bachelor's or Master's degree in Industrial Engineering, Computer Science, Mathematics, or equivalent practical experience.
• 6 years of project execution experience as a data scientist, resolving industrial problems across the value chain, including manufacturing, and ensuring the adoption of data science solutions.
• Preferred experience in the manufacturing and/or automotive industry.
• Strongly preferred experience in implementing data science and/or AI projects in real-life industrial environments (large POCs or at-scale deployments).
• Critical end-to-end problem-solving skills, including rapid and rigorous issue analysis, idea development and implementation, and feasibility demonstration and deployment at scale.
• Experience in applying Regression/Classification/Clustering models, Large scale data analysis, Time series analysis, Forecasting models, or Kernel-based methods.
• Experience in algorithm development using Mathematical programming (Linear programming, Mixed-integer programming), (Meta)Heuristic algorithms, Stochastic Process, or Combinatorial Optimization.
• Expertise in processing large-scale datasets in distributed data frameworks (Hadoop, Spark, or Hive).
• Expertise in data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Expertise in applying machine learning, Generative AI, LLMs is a plus.

As a Data Analyst in D-SIMLAB, you will get exposure in both technical and soft skills development. The role does not limit to only software development, but also involves in providing professional consultation services to customers, with the following key responsibilities:

Work together with a team of highly skilled Software Engineers and Data Scientists in software product deployment and delivery, at world leading semiconductor manufacturers.
Actively involved in product enhancement (in the area of visualization and algorithms) which improves the quality of D-SIMLAB product.
Responsible for key software components development.
Construct ETL to interface with data sources to feed d-simcon data model
Analyse data for consistency, completeness and correctness in the context of simulation modelling.
Identify factors associated with performance gaps between plan and actual.
Propose strategies to improve production line performance
Write codes for data analysis and got experience in wafer fabs will be a great advantage
We are looking for candidates fulfil the following criteria:

Bachelor/Master Degree specialises in Computer Science/Engineering or Industrial Engineering.
Diploma holders with relevant experience are encouraged to apply.
Enjoy working with experts with different cultural and technical backgrounds.
Love to travel the world and work on challenging projects.
Interest in career progression by strengthening your technical and soft skills.
Fresh graduates are welcome to apply.

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch obsessed with improving the jobs market by marrying technology and labour market intelligence. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers that are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

As a Data Scientist at JobTech, you will leverage your skills in machine learning, data analytics, and AI to build solutions that enhance our platform and provide real value to our users. In this role, you’ll collaborate closely with internal teams and clients, delivering data-driven insights that inform product decisions and client strategies. You’ll also be directly involved in client calls, where you will present findings, discuss analytical results, and ensure alignment with client objectives.

Key Responsibilities:

• Develop and Implement AI Models: Build and optimize machine learning models, focusing on natural language processing (NLP), recommendation engines, knowledge graphs, and information extraction to drive value for both our platform and clients.
• Cross-functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions are aligned with business goals.
• Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques. Prototype models, iterate, and test their performance to ensure they meet real-world needs.
• Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
• Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
• Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
• Client Engagement: Participate in client calls to present your data-driven findings and recommendations. Collaborate with clients to understand their needs and ensure our analytics solutions meet their expectations.

Requirements

• Educational Background: Master’s or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
• Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
• Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
• Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
• Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.

Technical Skills:

• Advanced proficiency in Python and familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and relational databases. Experience with Java is a plus.
• Hands-on experience building and deploying machine learning pipelines.
• Knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools like Docker is advantageous.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Key Responsibilities:

• Ensure the accuracy and timely delivery of reports.
• Maintain data accuracy, security, and confidentiality in the database and library.
• Assist in data entry, analysis, and organization of relevant information.
• Support teams by generating clear and actionable insights through data interpretation.
• Create charts and visual reports to support presentations.
• Ensure proper documentation and maintenance of data processes.

Qualifications:

• Degree in administration, business, or equivalent
• Experience: preferably 1 year’s experience or more in data administration
• Proficiency in data entry, management
• Strong communication skills and excellent interpersonal and organizational skills.