Total 261 data entry job vacancies in ntu novena campus singapore

Our Policy, Statistics and Research (PSR) functions play a vital role in influencing CPF policies and operations. Data informs many of the decisions we make in our PSR functions; and to perform our roles well, CPFB has embarked on a journey to become Data-Smart. In support of that, you will design and implement strategic plans to drive the Board’s Data-Smart journey. You will also be part of a team that builds data science capabilities to help the Board extract value from data for effective business decisions and policy-making.

What you will be working on

The successful candidate will play a pivotal part in shaping and executing the Board's strategic vision for achieving Data-Smart ambitions. You will work closely with various departments to plan, organise, and implement Data-Smart activities while also engaging in policy formulation and strategic planning.

The board area of your responsibilities include:

• Develop and coordinate the implementation of the Board’s strategic plan for achieving our Data-Smart ambitions. This includes driving initiatives for pervasive data use throughout the Board, developing a comprehensive set of good quality data, building strong data science competencies, and integrating planning and policy considerations into the strategy.
• Monitor the progress of our Data-Smart journey and make recommendations to management on adjustments to the strategy and plans, ensuring alignment with organisational goals and policy objectives.
• Collaborate with key stakeholders and departments to plan, organise, and implement enterprise-wide Data-Smart activities, integrating policy considerations into project planning and execution.
• Uplift the Board’s data science competencies by ensuring the data science competency framework is updated, curating relevant training modules with a focus on policy implications, and conducting training sessions that integrate planning and policy components.
• Formulate and implement engagement plans for the Board’s data science community of practice, fostering collaboration, knowledge sharing, and innovation, with a particular emphasis on policy-related discussions and initiatives.

What we are looking for

• Experience in strategic planning, policy development, and project management, preferably in a data-intensive environment.
• Good understanding of data science principles and methodologies,
• Ability to translate technical concepts into policy recommendations and strategic initiatives.
• Excellent communication skills, with the ability to effectively engage with stakeholders at all levels and present complex ideas in a clear and concise manner.
• Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions.

The successful candidate will hold the corporate title of Manager/Senior Manager, with seniority based on individual work experiences.

What you can expect

• A challenging and rewarding career
• A variety of formal and informal training to enhance your skills in the evolving technology landscape
• Promotion opportunities based on your capability and on-the-job performance
• A friendly work environment with like-minded colleagues to co-create and collaborate together
• A hybrid work model allowing remote work for up to 50% of the time, contingent upon the exigencies of service
• A productive yet growth-oriented workplace with a flexible dress code empowering you to decide your appropriate outfit for the day
• A comprehensive rewards package
• Annual leave and pro-family leave
• Medical and dental benefits
• Access to recreational activitie
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs. Additionally, there is potential for emplacement into a permanent position

• Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
• High interaction with external clients and manage internal and external stakeholders.
• Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• Work with the broader Visa data science team to create data driven solutions.
• Focus on building data science visualization capabilities to solve client's problems.
• Drive innovation through using data science techniques
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Who are we?

Equinix is the world’s digital infrastructure company, operating 250 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

We are a fast-growing global company with 20+ years of continuous growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,000+ networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.

Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Job Summary
Leads repairs, corrective maintenance, and complex installations. Guides others in resolving incidents, and recommends new procedures to resolve faults.

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventative and corrective maintenance on-site

• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve; follows guidelines on standard procedures and recommends sound solutions

• Operates and maintains plumbing, fire suppression, and life-safety systems

• Implements energy efficiency measures

• Assists on coordinating critical infrastructures

Vendor Support

• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements

• Assists with the creation and submission of scripts for maintenance

• Tracks and implements the work approval process for service providers for critical maintenance (including briefing at the start of work, control of work during the day workday/shift, final review of the work carried out)

• In cooperation with the vendors, changes/updates technical files for plants and equipment ensuring files and builds are up-to-date

Site Administration & Incident Support

• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts

• Identifies Single Points of Failure (SPOFs) and recommends solutions

• Responds to all on-site incidents, including failures, significant problems and delays

• Performs Root Cause Analysis (RCA) resolves issues

• Supports the on-site staff during incidents

• Demonstrates and supports processes and procedures are followed and adhered to

Work Orders & Additional Projects

• Completes skilled work requests and circuit installations

• Performs sophisticated troubleshooting and maintenance of office equipment (if necessary); supports auxiliary equipment and machines with problem solving and repairs to avoid/minimize downtime

• Makes moderate changes to mechanical, electrical and specialized systems, as directed

• Carries out more complex infrastructure projects

• Supports life cycle maintenance/end of life infrastructure projects and critical replacements

• May recommend infrastructure projects

Collaboration

• Collaborates with others to resolve difficult facility incidents

• Effectively collaborates within the department; may mentor team members on skilled maintenance activities

• Informs stakeholders of inventory needs to maintain optimal stock levels of critical parts and equipment, may support in coordinating processes for maintaining inventory

• Acts as a mentor to others in resolving incidents

Qualifications

• 5+ years experience

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Who are we?

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.

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. 

[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.

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 

The Head, Data will play a key role in the Digital and Information Technology department, support the Director in developing data analytics and AI strategy and initiatives. He/she will take responsibility in overseeing the development of the IT data analytics platform, managing teams, and ensuring efficient and effective of data to support business decision.

RESPONSIBILITIES

• Assist Director in developing and implementing the organization's data analytics and AI strategy in alignment with its business goals and objectives;
• Lead, manage and mentors a team of analytics and AI professionals of different backgrounds; promoting collaboration, and ensuring effective communication and coordination;
• Identify training and development needs, providing opportunities for skill enhancement and career growth for team members;
• Establish data governance policies and procedures to ensure data quality, security and compliance with regulatory requirements, ensure effective data management and utilization;
• Manage projects progress, identify and mitigate risks, and resolve any issues or challenges;
• Collaborate with business stakeholders, other IT teams and partners, to identify data-driven and AI opportunities and drive business value;
• Oversee the design and implementation of data infrastructure, architecture and systems, including data warehouses, data lakes, and business intelligence tools;
• Ensure utilization and adoption of developed analytics products by embedding data and insights into digital applications and business processes;
• Perform outsourcing management to ensure that contractual obligations are met and projects needs; Manages vendor relationships and ensure vendors fulfill per contract requirements;
• Manage IT procurement, evaluate vendor proposals, make recommendations for vendor selection and procurement decisions;
• Ensure compliance with applicable laws, regulations and industry standards regarding data privacy, security and IT operations;
• Stay current with industry trends, emerging technologies, and best practices in data management and analytics;
• Foster positive relationships and effective communication channels;
• Brief and train business stakeholders on developed analytics products;
• Maintains and updates the quality records according to the standard guidelines on identification, filing, storage, maintenance, and disposition of these records.
• Covers duties of fellow colleagues in their absence
• Performs any other job related duties as assigned.

REQUIREMENTS

• Bachelor’s or Master’s degree in computer science, information systems, statistics, or a related field.
• More than 10 years of working experience with at least 3 years in managing team, with track record of managing data analytics projects
• Strong understanding of data governance, data quality, data security and regulatory compliance requirements.
• Excellent Interpersonal and leadership skills to manage multiple projects at one time with the ability to work in a fast-paced environment
• Good knowledge of project management both waterfall and agile include managing contracts, project budgets, work breakdown structures, and systems integration
• Proficiency in data technologies and tools, such as SQL, Hadoop, Spark, Python, R, Tableau and machine learning framework
• Strong understanding of cloud-based data platform and analytics technologies (e.g Azure data factory, databricks etc)
• Familiarity with AI tools and their application in enhancing data insights and user efficiency
• Strong strategic thinking and problem solving abilities
• Possess healthcare domain knowledge

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

• 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

1.    To perform Data Analysis and Reporting

• Analyse and generate reports of Asia Pacific data on Customer Backlog (CBL) 
• Work with Sales Logistics Customer Interface Team to ensure data quality and track the progress of CBL   
• Perform data validation, identify the root cause and resolves issues to improve the order fulfilment rate and overall impact on customer service level 
• Write complex SQL queries to extract, transform, and aggregate data from large databases efficiently. 
• Utilize Common Table Expressions (CTEs) to create temporary result sets and simplify query readability. 
• Leverage Window functions to perform advanced analytical operations, such as ranking, partitioning, and aggregations, within SQL queries.
• Optimize SQL queries for performance by using appropriate indexing strategies and query execution plans.
• Employ various JOIN operations (INNER JOIN, LEFT JOIN, FULL OUTER JOIN) to merge data from multiple database tables efficiently.
• Create subqueries and correlated subqueries when necessary to retrieve specific subsets of data.
• Implement conditional logic and CASE statements within SQL queries to handle complex data transformations.
• Continuously optimize SQL queries for performance, scalability, and maintainability. 
• Monitor and tune database performance to ensure efficient data retrieval.

2.    To build and enhance dashboards to support Process Automation

• Build and enhance Power BI dashboards with existing databases (SQL database, etc.) on different Order To Cash (O2C) topics.
• Maintain and improve current Power BI dashboards, including enhancing SQL scripts in databases and DAX measures in Power BI.
• Provide technical support to resolve data-related issues and troubleshoot problems in dashboards, and reports.
• Develop Python scripts to streamline and automate manual data transformation processes. 
• Identify repetitive data preparation tasks and create reusable Python scripts to perform data cleansing, formatting, and aggregation. 
• Continuously optimize and enhance Python scripts for performance, scalability, and efficiency.

3.    Cross-Functional Collaboration

• Collaborate and align with central departments/stakeholders to support in achieving sales target
• Manage multiple projects simultaneously, ensuring timely delivery of data analysis and reporting solutions. 
• Collaborate with project stakeholders to define project scope, objectives, and deliverables.

Responsibilities:

• Develops, implements, and maintains methods, operation sequence and processes in the fabrication of parts, components, sub-assemblies and final assemblies

• Interfaces with other engineering functions to coordinate the release of product improvements and/or new products

• Launches, releases, approves and implements or issues engineering change requests as required to support design engineering and Operations with new and existing products

• Uses basic engineering and DFx principles to estimate and reduce manufacturing and/or product costs and improve delivered product quality; determines time standards and makes recommendations for tooling and process requirements

• Writes and releases test procedures

• Gathers operational and test data and evaluates results

• Evaluates work methods, procedures and policies

• Assists in determining root cause analysis for issues that arise during assembly and/or test of systems

Requirements:

• Bachelor Degree in Engineering

• Some understanding in semiconductor industry and chip-making process

• Work in a cleanroom manufacturing environment where you need to wear cleanroom suit

• Resourceful, hands-on and proactive

Working 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. 

What a Director Data Science, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.

• Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements

• Establish best practices for data science project governance, solution development and operationalization

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.

• Establish clear success measures for data science projects and drive continual improvement

• Promote thought leadership in the data science domain and build intellectual property through innovation

• Effectively interact with clients and manage internal/external stakeholder communication

• If required on a per-project basis, work onsite for a short duration

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

We have 2 opening for Data Center Batch Operation position (1 year contract under employment agency payroll)

Suitable for Singaporean individuals with a Nitec in IT, in good physical health to commit to a 12 hour rotating shift (2 Days, 2 Off, 2 Nights pattern), eager to learn about batch operation management, and able to commit to a full 1 year contract (Training provided)

Work location: Novena, Revenue House
Working Hours: 12 hours rotating shift, (2Day, 2Off, 2Night pattern, need to work on weekend and public holiday as per duty roster)

• Day Shift: 7.30 am to 7.30 pm
• Night Shift: 7.30pm to 7.30am

Salary inclusive of Shift allowance and Public Holiday allowance: $2400 - $2950

Incentive of performance bonus up to 1 month basic salary subject to reporting manager’s appraisal, 10 days Annual leave, 14 days Medical Leave & benefits, Group Insurance coverage

The primary responsibilities for this position include batch monitoring and execution.

Job scope of DC Operation (Batch Operation):

• Support and monitor the wellbeing of the Data Centre
• Support & Monitoring / Execution Batch operation jobs
• Support & manage the wellbeing of Safe Keepers (Account IDs)
• Undertake weekly/Monthly envelopes inventory etc..
• Perform request fulfilment to register customer request etc Adhoc / Data Recovery SR)
• Provide Operation support during IRAS DR pertaining to Batch execution.
• Coordinate with Batch owner to Batch job failure timely.
• To work cohesively with customer / inner team

Requirements:

• Must be keen to go into data center batch monitoring and executing jobscope
• Singaporean (Need to clear G50 security clearance)
• Able to commit to 12 hours Rotating Shift (2Day, 2off, 2Night pattern, need to work on weekend and public holiday)
• Must be able to commit for the full 1 year contract
• Willing to learn and punctual for work
• Open to candidates without prior experience in Data Centers, on job training will be provided

Grounded in a talent-centric mindset, Maker Lab is a marketing agency designed to build decentralised technology-led agency teams, rooted in collaboration with clients from the ground up. Maker Lab’s cross-functional teams of multidisciplinary specialists are embedded into client teams across digital marketing competencies — from measurement & analytics to content production.

Data Analyst (SG)

12 months fixed term contract

As a Data Analyst supporting our client - a technology company focused on the real estate market, you’ll play a pivotal role in owning goal-setting, strategy, measurement and analysis of their owned social channels, product and business. 

You’ll translate the data into meaningful and actionable insights for the business to develop campaigns, initiatives and business goals.

Role: 

• Own analysis, reporting and relevant dashboards of performance across APAC consumer marketing campaigns. 
• Identify core metrics, drive education of key metric drivers internally, and help set strategic paths towards measurable results
• Set up, maintain and develop social campaign databases across key markets and products to establish relevant baselines.
• Showcase and create learning decks with best-case practices to advance campaign effectiveness and creative excellence internally.
• Identify and build cases for opportunities to “cut through the noise.”  Translate complex analytics to easy-to-understand and engaging recommendations for internal marketing teams and relevant partner agencies working on social and consumer marketing initiatives.
• Lead discussions broadly around social campaign measurement (Paid, Owned, Earned) between client marketing teams and supporting agencies.

You:

• 4+ years of experience in an advertising, digital, or social media agency or in technology companies as a social media analyst, measurement analyst, data analyst or marketing analyst 
• Understanding different marketing measurement methodologies (e.g. creative testing, causal campaign reporting, brand metrics tracking) throughout the marketing/product funnel
• Skilled in data management and visualisation tools (Sheets, Slides, Data Studio).
• SPSS, R, and Python skills would be an added benefit but not a must.
• Capable of visualising data and quickly producing charts and graphs that tell a story to our client team and their internal marketers.
• Relevant skills in working with social listening tools (e.g. Brandwatch) and developing reliable syntaxes are a bonus but not a must-have.
• The ability to turn data into tangible learnings and recommendations that can be applied across marketing activities.
• Proven ability to drive mid/long-term measurement goals, campaign goals, KPIs and targets.
• The ability to be comfortable with ambiguity, asking questions and assuming positive intent in an often fast-paced environment with many stakeholders.
• Exceptional verbal and written English communication and presentation skills and, ideally, fluent in another Asian language to support the projects spanning across APAC.

Please note: due to the high volume of applications, only successful candidates will be contacted with a follow-up introduction email.  If you do not receive an email from Maker Lab, your application has been unsuccessful this time around. Look out for future roles! By submitting your application, you consent to the collection, use and disclosure of your data by the Maker Lab team for the purposes of your application. Where your application contains personal data of third parties, you confirm that you have obtained all necessary consents to provide the Maker Lab team with such personal data and that we may collect, use and/or disclose such data in accordance with the Personal Data Protection Act 2012.

• Company: MNC Chemical Manufacturing Company
• Location: Jurong Island, Company Transport Provided at Designated Point
• Salary: Up to $3300 + Transport Allowances $200 (Entry Level Degree Holder)
• Headcount: Permanent Role with AWS and Variable Bonus

Responsibilities:

• Contribute to the research and development of polymer products for value-added applications.
• Coordinate and execute day-to-day activities for product design projects, ensuring timely completion to meet new product development targets.
• Collaborate with Chemists to conduct commissioning and method development for new equipment, as well as enhance existing testing methods.
• Take a lead role in maintaining the smooth operation of the R&D laboratory, including regular equipment maintenance, preparation and revision of operating procedures, and adherence to Health, Safety & Environment protocols.

• Bachelor's Degree in Chemical/Polymer/Material Engineering or Chemistry.
• Diploma in Chemical Process/Material Technology with substantial experience in the Polymer Industry will also be considered.
• Experience in polymer material processing and testing is an added advantage.
• Strong team player with initiative, excellent analytical thinking, and communication skills.
• Proficient in Microsoft Office.
• Physically fit as required to carry loads in laboratory environment

If you are passionate about contributing to ground-breaking research and development in the polymer industry, we invite you to forward your CV in MS Word format to [email protected].

Triton AI Pte Ltd

Reg No. R1983718

License no. 21C0661

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

Expectations of a Data Intelligence Intern

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

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

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

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

Design and implement data models to support business requirements.

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

Implement data quality checks to ensure accuracy and consistency.

Adhere to data governance policies and maintain data integrity.

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

Identify and resolve bottlenecks in the data pipeline.

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

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

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

Experience with big data technologies and distributed computing.

Proficient in, Spark, Python, and PySpark.

Strong problem-solving and analytical skills.

Excellent collaboration and communication skills.

Familiarity with data security and privacy best practices.

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

• Develop and implement tailored Project Control concepts for data center construction, ensuring precise cost and document control.
• Establish and communicate effective processes for control and reporting throughout the project lifecycle.
• Drive major project control milestones, including cash flow, monthly pay applications, schedule management, and final accounts.
• Manage commercial activities with GC and key sub-contractors, overseeing day-to-day project control.
• Support change control processes, manage ongoing issue tracking, and provide priority-driven commercial issue reporting.
• Collaborate with Scheduler on schedule progress reports and analysis.
• Assist in review, development, issuance, and evaluation of subcontract change orders.
• Maintain and control budgets, providing detailed cost reporting updates.
• Identify and evaluate potential changes, review contractor invoices, and coordinate implementation plans.
• Present cost analysis results to clients, ensuring alignment with governance and objectives.
• Define work scope, prepare schedules, and budgets for various-sized projects.
• Contribute to a culture of safety, quality, speed, and effectiveness.

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

Role and Responsibilities:

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

Requirements:

• Bachelor’s degree in either business administration, accounting, data science, statistics, mathematics, or similar subject from a recognized university.
• Minimum 5 years of relevant working experience.
• The expertise to deep-dive and gain insights from data is a must.
• Excellent charting and graphical representation skills to enable effective communication of insights to management.
• Driven and a self-starter who enjoys working in a fast-paced environment.
• Excellent problem-solving skills and a proactive approach to challenges.
• Proficiency in data analysis, Microsoft Excel and MS PowerPoint. SAP is a plus.
• Effective communication and interpersonal skills to collaborate with colleagues across departments and various internal and external stakeholders.
• Proficiency in the English language, both verbal and written.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Hybrid
• Open communication culture

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps.  The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram

• Develop solutions to categorize Telegram users based on network topologies

• Develop machine learning models to predict user roles and information cascade patterns

• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field

• Preferably 2 and more years of professional programming experience

• Experience in Natural Language Processing and Computer Vision

• Experience in Network Analysis and Machine Learning

• Writing clean, readable, and easily maintainable code

• Ability to manage your own time effectively and deliver required tasks with minimal supervision

• Good teamwork skills

• Interest in applications of technology in academic research

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