Value Added Services (VAS) is one of three growth strategies for Visa globally, aimed at diversifying Visa’s revenue with products and solutions that differentiate its network and deliver valuable solutions across other networks.

We are seeking a dynamic Manager to join our newly established GTM and Commercialization team within the VAS organization. This team is dedicated to expanding VAS revenue growth in the Asia Pacific region, by making VAS products easier to buy and sell.

The successful candidate will be based in Singapore, working closely with both Hub and market leaders.

This role is perfect for those who thrive on variety and enjoy tackling new challenges each day, and not seeking a routine job profile. Given the small size of our team, the role requires a high degree of flexibility and adaptability to handle different types of work. The ideal candidate should be proficient with numbers, have a firm grasp on business fundamentals, and possess strong interpersonal skills.

If you enjoy a dynamic work environment, have an aptitude for numbers, and have a keen understanding of what drives business success, I would love to hear from you.

Primary responsibilities:

• Sales Pipeline Tracking and Management: Oversee the sales pipeline, ensuring it aligns with our commercial goals. Regularly monitor and manage sales progress and outcomes, identifying bottlenecks and opportunities to optimize the sales process. Your role will be pivotal in driving revenue growth through effective pipeline management.
• Training and Education of VAS Specialist and Generalist sellers: Partner with functional teams to develop and deliver training programs that not only enhance the skills and knowledge of sales teams but also instill a deep understanding of our commercial objectives. Equip the team with the necessary tools and strategies to effectively sell our VAS products, thereby contributing to revenue growth.
• Data-Driven Sales Targeting: Create and maintain robust sales models that use data to identify key sales targets within the VAS organization. Your role will involve using these models to drive sales strategies that are aligned with our commercial goals, ultimately contributing to revenue growth.
• Data Analysis and Insights: Leverage data to drive strategic decision-making across the organization. Provide key insights on product utilization, client demographics, sales trends, and potential growth opportunities.
• Cross-Functional Collaboration: Work closely with internal functions to drive alignment on commercial goals and strategies. This includes facilitating effective communication and collaboration between teams to ensure a One Visa approach to achieving our commercial objectives.
• Influencing VAS Policies and Procedures: Take a proactive role in influencing VAS policies and procedures to make it easier to sell our products. This will involve understanding the barriers to sales and working to remove these through changes to policies and procedures.
• Commercial Strategy Development: Work closely with the team leader to support the development and implementation of commercial strategies for VAS products.

Our client is a local bank.

Location: Raffles Place

Benefits:

• Competitve salary and benefits
• Hybrid working arrangement (depending on nature of role)
• Learning & development opportunities

Responsibilities:

• Foster robust relationships with stakeholders to identify opportunities for harnessing data effectively, facilitating the successful delivery of reports, dashboards, and analytics.

• Develop and refine our approach to HR analytics for addressing business challenges through advanced analysis and a comprehensive understanding of data infrastructure and products.

• Interpret and communicate data insights to stakeholders, empowering them to make informed business decisions based on data.

• Take the lead on HR data and metrics projects aimed at creating meaningful measures and benchmarks to enhance and optimize organizational performance.

• Create and implement data models to support forward-thinking HR initiatives, utilizing predictive analytics to anticipate, evaluate, and analyze various business challenges and objectives.

• Establish a rigorous and systematic analytical model and methodology, integrating market research, data, and theory to drive impactful HR analysis.

Requirements:

• At least 7 years of experience in HR analytics, business analytics, organizational research, or organizational psychology.

• Extensive expertise in data analysis, including analytics data models, data warehousing, and data product management.

• Proficient in utilizing popular data analysis and visualization tools such as SQL, Tableau, Python, Qlikview, and PowerBI.

• Demonstrated experience in collaborating with various HR and business stakeholders, possessing exceptional communication skills and the ability to influence others effectively. Proficient in storytelling.

• Strong analytical and problem-solving abilities, capable of utilizing data to extract valuable insights and make informed, data-driven decisions.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Responsibilities:

• Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.
• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.
• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems.

Requirements:

• At least a Bachelor’s in Information Technology / Computer Science, or related degree
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools to create compelling data visualizations and reports.
• Solid 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 ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

Job Description: Senior Data Engineer

Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs. The ideal candidate will have a strong background in data engineering, expertise in various data technologies, and a passion for building robust and efficient data solutions.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
2. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
3. Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
4. Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
5. Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
6. Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
7. Provide technical leadership and mentorship to junior members of the data engineering team.
8. Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
9. Develop and maintain documentation for data pipelines, systems, and processes.
10. Stay current with industry trends and best practices in data engineering and apply them to improve our data ecosystem.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
3. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
4. Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
5. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
6. Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
7. Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
8. Excellent problem-solving skills and the ability to troubleshoot complex data issues.
9. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
10. Experience with Agile development methodologies and tools like JIRA is a plus.

This job description outlines the primary responsibilities and qualifications for the Senior Data Engineer role. Candidates should possess a combination of technical expertise, analytical skills, and teamwork abilities to excel in this position.

As a Data Engineer, you will be responsible for:

• Designing and implementing data solutions that meet business requirements. Also, it includes designing data schemas/data pipeline and systems to collect, manage and convert raw data into useful data system, improving data flow and acquisition processes, and integrating new data management technologies and software engineering tools into existing structures.

• Developing, testing, and maintaining architectures, such as large-scale processing systems and databases. It includes optimizing data retrieval, implementing ETL (Extract, Transform, Load) processes, and ensuring consistent data delivery across multiple sources and platforms.

• Managing and optimizing data storage through SQL and NoSQL databases, data lakes and data warehouses to ensure data is stored efficiently for easy retrieval and analysis.

• Implementing data quality checks to ensure high quality and accuracy. Also, to ensure data accessibility for analytic and business intelligence purposes.

• Collaborating with cross functional teams to ensure they have the necessary data to perform their duties effectively as well as to improve data flow efficiency and reliability.

Technical skills required:

• Programming skills: Python, JAVA, or Scala

• Expertise in SQL and experience with SQL database design

• Experience with big data tools like Hadoop, Spark, Kafka, etc.

• Knowledge of data modeling, data warehousing and building ETL (Extract, Transform, Load) pipelines.

• Familiarity with cloud services like AWS, Azure, or Google Cloud.

• Understanding of machine learning algorithms is a plus.

At the same time, as a Data Analyst, you will be responsible for:

• Collecting data from primary or secondary data sources and maintaining databases/data systems. Also, cleaning and pre-processing raw data from various source for data analysis. This includes dealing with missing values, outliers and transforming data into a usable format.

• Using statistical techniques to analyze data and generate useful business insights. Also, it involves identifying, analyzing and interpreting trends and patterns in complex data sets.

• Developing and maintaining interactive visual reports, dashboards and analytics using tools like Tableau, Power BI or excel.

• Work with various departments to understand their data needs and provide insights.

• Interpreting the data and turning analysis into actionable insights.

Technical skills required:

• Proficiency in statistical analysis and statistical packages (like Python and R).

• Experience in querying databases and use statistical computer language: SQL, Python, etc.

• Experience with data visualization tools like Tableau, Power BI, etc.

• Ability to articulate findings clearly to both technical and non-technical audiences.

• Strong problem-solving skills and attention to detail.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.

• Bachelor Degree in Engineering or Data Analytics

Work location: Upper Changi office

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Our client is a local bank.

Location: Raffles Place

Benefits:

• Competitve salary and benefits
• Hybrid working arrangement (depending on nature of role)
• Learning & development opportunities

Responsibilities:

• Foster robust relationships with stakeholders to identify opportunities for harnessing data effectively, facilitating the successful delivery of reports, dashboards, and analytics.

• Develop and refine our approach to HR analytics for addressing business challenges through advanced analysis and a comprehensive understanding of data infrastructure and products.

• Interpret and communicate data insights to stakeholders, empowering them to make informed business decisions based on data.

• Take the lead on HR data and metrics projects aimed at creating meaningful measures and benchmarks to enhance and optimize organizational performance.

• Create and implement data models to support forward-thinking HR initiatives, utilizing predictive analytics to anticipate, evaluate, and analyze various business challenges and objectives.

• Establish a rigorous and systematic analytical model and methodology, integrating market research, data, and theory to drive impactful HR analysis.

Requirements:

• At least 7 years of experience in HR analytics, business analytics, organizational research, or organizational psychology.

• Extensive expertise in data analysis, including analytics data models, data warehousing, and data product management.

• Proficient in utilizing popular data analysis and visualization tools such as SQL, Tableau, Python, Qlikview, and PowerBI.

• Demonstrated experience in collaborating with various HR and business stakeholders, possessing exceptional communication skills and the ability to influence others effectively. Proficient in storytelling.

• Strong analytical and problem-solving abilities, capable of utilizing data to extract valuable insights and make informed, data-driven decisions.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

JOB DESCRIPTION

As the Senior Manager, Project Management, you will support the delivery of large Data Centre Projects from their inception to completion, or, depending on your experience, lead our small to medium scale projects. Initially, your team will work closely with “Technical Solutions” to manage the development of the Design, and, with “Procurement” for the LLE & Tendering of Contracts. You will then support the SPM or lead your team in overseeing the construction and commissioning of the project. Working closely with the Authorities, Consultants, Contractors and Suppliers and seamlessly working with both internal and external stakeholders to ensure that the project is completed Safely, to the right Quality, On Time and within Budget. Once the project is commissioned, you will support the SPM or lead the handover of the project to our Operations Teams and end users/tenants.

Note that you will be based in Singapore but may be required to travel overseas for work if you are tasked to assist on overseas projects.

Job Responsibilities:

• Lead (or assist) in the delivery of the projects and be responsible for project performance
• Lead (or assist) in the execution of the technical qualification and planning of pre-deals as the Head of Department shall direct. Lead and manage Deputy Project Managers and Engineers to generate project cost and planning structure for prospective deal engagements
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the approved procurement process
• Lead (or assist) in the execution of approved project plans and manage Project Managers, Engineers, Site Supervisors and appointed consultants, contractors, suppliers and vendors to ensure general supervision of the project work and the management of site implementation and all project related matters
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all project related matters including but not limited to below:
  Site project management and track progress of project implementation against the approved schedule
  Cost reports including forecast cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
  Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
  Statutory Authorities matters
• Lead (or Assist) in managing the inspection of the Project Works at site together with the site team and report to the Senior Project Manager or Head of Project Management promptly on any non-compliance and status updates
• Work closely with the Safety Managers to ensure all construction safety requirements are met and strictly adhere to
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from site and execute the Project Handover timely to Client, Asset Owner and Operation team respectively
• Manage and execute other duties and responsibilities from time to time that are assigned by the Head of Project Management or Senior Project Manager

JOB REQUIREMENTS

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Strong leadership and communication skills
• Clear understanding of commercial & financial processes (Invoicing, approvals etc)
• Highly proficient in Microsoft Office (Word, Excel, Power Point)
• Very good Administration skills
• Be thorough and pay attention to detail
• Able to work well with others and have good customer service skills
• Able to use your initiative, flexible and open to change
• Strong time management & work well under pressure

[What you will be working on]

Responsibilities:-

• Conduct lessons, create teaching and assessment materials and mentoring of students
• Develop and maintain new/existing teaching curriculum for modules stated above
• Undertake projects/consultancy work with both internal and external stakeholders, possibly in area of AI and DS

[What we are looking for]

Requirements:-

• Passionate about education and possess good values
• Team player with the ability to work independently
• Possess good communication skills, both written and verbal
• A good degree in the field of Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics or Statistics, preferably with a postgraduate qualification in a relevant field
• Experience in cloud computing or software engineering, particularly in the deployment of AI/DS models into production is preferred though not mandatory

Successful candidate will be offered a 2-year contract in the first instance.

Closing date: 22 March 2024
If you are shortlisted for the position, you should hear from us within 30 days of the closing date of the advertisement.

Wages:

SGD 9-10/Hours

Contact:

Call 6978 3503 for immediate interview / Student are welcome

Responsibilities:

- Perform Picking & Packing.

- Unloading of goods onto racks and shelves.

- Inventory calculation of incoming and existing stocks / goods.

- Order fulfilment & management.

- Shipping of products through provided software.

- Assist in customer service.

- Other relevant warehouse duties.

Requirements:

- Must be able to commit (4 hours per day)

- Interest in IT and electronic product.

- Meticulous and attention to detail.

Job Summary

The Senior Manager, OT Cyber Security is part of the OT Team who will be responsible for the management of vulnerability assessments to Keppel's computer systems and servers including detection, management, preventive and advisory of security vulnerabilities.

Job Description

• Work with internal stakeholders for all new investment deals
• Build in OT cybersecurity requirements which aligns to local government legislation requirements into the Basic of Design (BOD)
• Ensure that the BOD is aligned to Keppel’s cybersecurity compliance and participate in RFP, reviewing the customer requirements from Cyber Security’s perspective for any new controls and SOP requirements and comply with comments against additional efforts in terms of costs
• Develop country specific OT Cybersecurity SOP
• Implement and constantly reviewing the Ops cybersecurity SOP and keep it updated with relevance to customer and international standards and requirements.
• Work with the contract team for New DC Projects and/or DC operating contracts – SLA commitment with reference to SLA obligations.
• Pro-actively advise the Ops OT team for any potential vulnerabilities that are received from different sources based on the current Ops environment that are filtered with relevance to Ops Environment and track for closure
• During Cybersecurity Incident act as Incident Manager including SLA escalation monitoring and resolutions
• Work with Internal and Certifications team as well with external and Internal Auditors In briefing our Policies, Sops and standards and working on Gap closure with Artefacts after the remediation completed by the OT Engineers
• Work on updating the Technical Risk register and Risk Metrics based on the Dynamism in the threats landscape and our OT Environment

Job Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education
• Min 8 years of relevant experience
• Experience with vulnerability scanning solutions
• Proficiency with antivirus and security software
• CISSP MS Sentinel certifications will be required or Equivalent practical knowledge
• Able to work with a sense of urgency and with attention to detail
• Effective organization skills
• Good verbal and written communication skills

• Bachelors of Degrees in IT
• 8-10 years of experience in Data migration works
• Familiar with SAP Business Objects ( Purchasing, Material Management, Vendor Master, ,etc )
• Proven expertise in SAP S/4HANA data migration using Syniti Data migration tool.
• Solid knowledge of data modeling, cleansing, and quality management techniques.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Demonstrated ability to manage projects effectively under pressure and within tight deadlines.
• Experience working in a fast-paced and agile environment.

Interested candidates, please send over your resume to [email protected]

Job Responsibilities:

1) End-to-end Design, Develop, and implement sophisticated Power BI solutions which include ETL, Data models, interactive dashboards/visualizations/Reports that effectively communicate key performance indicators (KPIs) and insights.

2) Advanced in Data aggregation techniques to consolidate and summarize data from multiple sources.

3) Guide the team on all best practices related to Power BI service, including Data Modeling, dashboard/Report Design, writing complex DAX formulas, Power Query, the PBI Tenant (service/server based), external BPI tools & have a general understanding of the Azure stack.

4) Familiar with Visual Studio, Power BI Service, Fabric with Git integration for CI/CD pipelines, on-premises gateway, etc

5) Hands-on experience in SQL/PostgreSQL skills for data manipulation, ad-hoc Queries, and Star Schema design.

6) Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement or business growth.

7) Optimize data models and queries for performance and efficiency, ensuring fast and accurate data retrieval.

8) Ensure data accuracy, consistency, and reliability through data profiling, cleansing, and transformation.

9) Stay tuned with the latest Power BI features, techniques, and best practices to continuously enhance the BI environment.

10) Collaborate with cross-functional teams to provide training, support, and guidance on Power BI usage and best practices.

11) Excellent problem-solving skills, highly motivated, is a quick learner and has attention to details

12) Preferred programming languages include Python/R for data manipulation and advanced analytics.

Requirements:

1. Bachelor's degree in IT computer science/engineering, Mathematics & Data Analytics
2. At least 4-8 years of proven hands-on experience using Power BI Developer is preferred.
3. Good to have Microsoft Power BI certification(s)

Job Description:

As a Business Development Executive at Novosys, you will play a crucial role in the growth and success of our organization. You will be responsible for identifying and securing new business opportunities, fostering client relationships, and promoting our ISO consultancy services. Your primary objective is to drive revenue growth and expand our market presence.

Key Responsibilities:

· Conduct market research to identify potential clients, industries, and regions for ISO consulting services.

· Analyze market trends, competition, and regulatory requirements.

· Generate and qualify leads through various channels, including cold calls, email campaigns, networking, and referrals.

· Maintain a robust sales pipeline.

· Identify client needs and develop customized ISO consulting proposals.

· Conduct presentations and meetings to close deals and acquire new clients.

· Build and maintain strong relationships with clients by providing exceptional service and support.

· Meet and exceed sales targets and revenue goals.

· Develop and implement effective sales strategies.

· Prepare regular reports on sales performance and market insights.

Requirements:

· Bachelor’s degree and above in any disciplines

· Proven experience in Sales or Business Development, preferably in ISO consultancy, service industry or related industries.

· Knowledge of ISO standards and certification processes will be an advantage.

· Excellent communication, negotiation, and presentation skills.

· Results-driven with a strong focus on achieving and exceeding sales targets.

· Proficiency in using CRM software and sales-related tools will be an advantage.

· Self-motivated, proactive, and able to work independently.

· Willingness to travel and meet with clients as needed.

What we offer

• Competitive salary and benefits package
• Opportunities for career advancement within a global luxury brand
• A diverse and inclusive workplace
• Ongoing training and development programs
• Experience the prestige of working with iconic beauty and fragrance brands

Your skills and experience

• Familiar with Microsoft SQL Server and have SQL script development skills, experienced in data management 

• Good Knowledge of Google solution (Google Cloud, BigQuery, Google Analytics) and Microsoft solution (PowerBI, SSAS) 

• Excellent technical skills – good understanding on data analysis and integration 

• Good communication skills – Good spoken English required 

• Willing to manage many different sub-projects at the same time 

• Willing to work in a multi-brands and dynamic organization 

Job Summary:

Salary package: Basic $2800 - $3200 + VB

Working hours: Mon to Fri 9am - 6pm
Working location : Kallang

Job Responsibilities:

- Handling incoming sales calls, emails and leads. Sourcing new leads from Tender Portals.

- Creating, compiling, and submitting tender documents.

- Assisting in preparing quotations and proposals for sales team.

- Providing all necessary administrative support, including the preparation of maintenance contract renewal notices and services sales reports to track renewals.

- Providing administrative support to the Marketing Team, with a primary focus on sales-related activities.

- Assisting in the development of marketing materials and projects/events related to marketing.

- Supporting the Head of Operations and MD in all other administrative matters.

- Assist to match supplier invoices with the necessary documents and key into the system Other ad-hoc duties as assigned.

Requirements:

- Minimum Diploma in any discipline or A Level
- New entry welcome or min 1 year of working experience or max 3 years working experience entry welcome Knowledge of MS Office, Teams

- Able to work independently

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

Role Purpose

In addition to applying advanced statistical and machine learning techniques, the Data Scientist takes on additional responsibilities related to team leadership and technology focus. This role requires strong technical expertise and the ability to guide and mentor a team of data scientists.

How will you contribute to the success of DHL?

• Collaborate with stakeholders to define data science strategies, objectives, and priorities.
• Drive the development and deployment of complex predictive models and machine learning algorithms.
• Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
• Accountable (owns) the completeness and accuracy of the Analytics Requirements.
• Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
• Able to manage multiple deployments concurrently.
• Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
• Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
• Communicate data science initiatives and results to senior management and other relevant stakeholders.
• Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.

Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
• Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
• Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
• Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScript-based visualizations.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
• Excellent communication and presentation skills (English), including translating technical concepts for non-technical stakeholders.

Responsibilities:

• Design, construct, install, test and maintain highly scalable data platform in SAP and non-SAP environments.
• Ensure systems meet business requirements and industry practices, particularly in the food and beverage retail sector.
• Analyze business requirements and create conceptual, logical, and physical data models.
• Design database tables, columns, and relationships, and document data flow and dependencies.
• Build high-performance algorithms, prototypes, models and proof of concepts.
• Develop data set processes for data modeling, mining and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Research opportunities for data acquisition and new uses for existing data in the retail industry.
• Create custom software components and analytics applications.
• Collaborate with other IT team members on project goals.
• Work closely with the Data Lead / Architect to implement data strategies and ensure compliance with industry practices.

Requirements:

• Experience with ETL tools like SAP Data Services, SAP BW data extraction, SLT
• Understanding of data modeling principles and best practices, preferably in an SAP environment like SAC data modelling, S/4 Hana Embedded Analytics, Hana data modelling, BW and/or DWC/Datasphere
• Strong SQL skills, esp on MS SQL server environment, for querying and managing data.
• Experience with data visualization tools like SAP Analytics Cloud or BOBJ.
• Experience with cloud services like AWS, Google Cloud, Microsoft Azure, etc. SAP BTP will be an advantage.
• Experience in programming in SAP or non-SAP environments is an advantage.
• Understanding in SAP ERP or S/4 Hana is a plus.
• Understanding in ML or GenAI is a plus.
• Good command of Chinese Mandarin in speaking and writing is essential as you will be required to liaise with Chinese stakeholders.

Personal Attributes:

• Analytical Skills: Ability to make sense of complex data sets and convert them into actionable insights.
• Problem-Solving Skills: Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and resources.
• Attention to Detail: Precision and attention to detail in data analysis and coding is crucial to avoid errors and ensure the accuracy of the results.
• Communication Skills: Ability to clearly and fluently translate technical findings to a non-technical team, such as the Marketing or Sales departments.
• Teamwork: Ability to work effectively in teams, respecting ideas from team members, and taking on a variety of roles as needed.
• Continuous Learner: Technology is always evolving and it’s important to stay up-to-date with the latest trends and technologies in data engineering and analytics.

We are seeking an experienced and creative Senior BI Analyst to join our team. This position requires a functional understanding of business domains preferably in one of Healthcare/ Financial services/ Retail sectors and ability to facilitate stakeholder communication, conduct workshops and create clear documentation.

A good understanding of data visualization tools such as Qlik, Tableau, or Power BI, complemented by strong proficiency in SQL would be ideal. The ideal candidate will have at least 5 years of experience in data analytics and business intelligence, with a keen ability to gather and understand customer business requirements. This role demands exceptional design skills to build visually appealing and insightful dashboards.

Key Responsibilities:

1. Requirements Gathering and Analysis:

   - Collaborate with business users to gather, understand, and document business requirements.

   - Translate business needs into technical specifications and BI solutions.

   - Conduct requirement analysis sessions with stakeholders to ensure clarity and alignment of vision.

2. Develop and Design BI Solutions:

   - Design, develop, and maintain advanced BI solutions, focusing on high usability and aesthetic appeal.

   - Create interactive and visually compelling dashboards and reports using tools like Qlik, Tableau, or Power BI.

   - Ensure data accuracy and integrity in all deliverables.

3. Data Analysis and Reporting:

   - Perform complex data analysis to extract actionable insights and support business decisions.

   - Develop automated reports and dashboards, continuously iterating to enhance user experience and data storytelling.

   - Work closely with stakeholders to tailor reporting based on evolving needs.

4. Database and Query Optimization:

   - Develop sophisticated SQL queries for data extraction and analysis.

   - Optimize database performance and query efficiency.

   - Uphold data quality and integrity standards.

5. Cross-Functional Collaboration and Support:

   - Engage with different business units to integrate BI solutions into diverse business processes.

   - Provide ongoing support and training to users on new and existing BI tools and dashboards.

   - Act as a liaison between technical and non-technical stakeholders.

6. Project Leadership:

   - Lead BI development projects, ensuring timely delivery and alignment with business goals.

   - Manage project timelines, resources, and stakeholder communication.

7. Innovate and Stay Current:

   - Keep updated with the latest trends in BI technology, design, and data analytics.

   - Evaluate and recommend new tools and technologies to enhance BI capabilities.

Detail:

• Location: Jurong Island, Singapore (Transport provided at designated point)
• Employment Type: Permanent  
• Compensation: Competitive Salary with AWS and 3 Months Variable Bonus  

Responsibilities:

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

How to Apply:

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

Reg No: R1549345
Triton AI Pte Ltd  
License No: 21C0661

• To assist in processing of Purchase Orders, liaising with respective purchase requestors.
• Develop procurement strategies by monitoring inventory movement and determining inventory levels of products
• To follow and enforce the company's procurement policies and procedures.
• Managing inventories and maintaining accurate purchase and pricing records.
• Maintaining and updating supplier info, good supplier relations and negotiating contracts
• Monitor customer (internal) and vendor (external) compliance with procurement principles and practices.
• Negotiates and review long-term contracts with suppliers to ensure optimum cost and reliable supply
• To research, source and evaluating on-board potential new suppliers when required, and to follow correct procedures and documentation when engaging suppliers.
• Ensure that all approve vendors contracts are up-to-date and store appropriately

• Permanent position with various allowances
• Entry level and willing to work in shift
• MNC Chemical Manufacturing Company

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.
• Train and develop team members.

Requirements

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.
• This is a shift work position (i.e. Rotating AM and PM shifts, including weekends and Public Holiday) and there will be scheduled off days.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage price records, sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks