Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency, and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly, and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from projects and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for project data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times, and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills: Proficient in data analysis tools such as Excel, SQL, and Python. Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.

Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.

Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.

Self-Motivation: Proactive and able to work independently with minimal supervision.

Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.

Quality Focus: High attention to detail, ensuring data accuracy and integrity.

Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

Job Description

• Recommend and build require infrastructure for optimal extraction, transformation and loading of data from various sources such as ERP. MES and other systems using SQL technologies.
• Create, manage and maintain optimal data pipeline architecture. API and integration for ERP, MES and other systems used in the company.
• Monitor and manage database and related systems to ensure optimized performance.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Working with stakeholders such as sales, finance, operations, design, and executive teams to support their data infrastructure needs while assisting with data-related technical issues.
• Build business intelligence and analytical tools using Power BI to utilize the data pipeline, and provide actionable insight into key business performance metrics.
• Participate in external and internal audit to ensure company data and related system is effective and validated.
• Create and maintain documentations and compliance for data and systems with reference to industry best practices.
• Perform other tasks as assigned by the supervisor.

Requirements

• Bachelor’s degree (or equivalent) in Computer Science, Information and Communications Technology, or related discipline
• 3 or more years with RDBMS and NoSQL databases
• 3 or more years of experience with Python, SQL, data visualization and exploration tools
• Working experience in MedTech / Manufacturing Industry
• Experienced in building and maintaining ETL processes.
• Experienced with Microsoft-based stack (M365, Power Platform, Azure, Dataverse,Microsoft SQL Server)
• Knowledge of best practices in ICT operations and data management
• Excellent problem solving and troubleshooting skills.
• Process orientated with great documentation practices.
• Communication skills, especially for translating technical concepts to non-technical business leaders.
• Ability to work on a dynamic, action-focused team that has concurrent projects

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

We are the largest conductor of employee surveys around the world and we are looking for a data analyst to join our exciting team which works with Great Place To Work clients in Singapore, Indonesia, Vientam, Philippines, Malaysia, Thailand, Australia and New Zealand.

We collect a large amount of data from employee surveys we conduct and we are looking for a data analyst to come and further strengthen our analytics offering using that data.

Skill in PowerBI is critical and knowledge of Microsoft Fabric and OneLake will be advantageous. We are looking for candidates with 5-10 years of experience in data analysis and who are willing to grow with us and our clients as we build out the data offering together.

Our team in Singapore is mostly remote though we do maintain an office space and meet face to face once a week on Mondays.

About the job

A government agency is looking for an experienced Data Analyst to join their team.

Your new company

As a Data Analyst, you will process and analyzes data to identify trends and early indicators of potential incidents that could affect the resilience and cybersecurity. You will also be responsible for analyzing and identifying potential cybersecurity threats by applying data analytics and threat-hunting techniques to big data. You will collaborate closely with cybersecurity counterparts to proactively trigger intervention actions based on the identified potential cyber threats.

Your new role

As the Data Analyst, you will be responsible for:

• Data Collection, Data Analysis, Data Visualization to identify trends and patterns

• Develop and validate hypotheses for threat hunting

• Generate insights and provide supporting evidence through Big Data Analytics for informed decision-making

• Assemble and disseminate intelligence to peers for swift intervention actions

• Data Management to ensure that data is stored securely and efficiently, following best practices and compliance regulations

• Continuously improving data processes and methodologies to enhance the quality and efficiency of data analysis

• Communicate concepts and findings in reports and presentations for senior stakeholders

What you need

• Bachelor’s degree in Computer Science/ Data Science and Analytics or equivalent

• 1+ year of experience in working with databases and big data analytics using Hadoop, Hive, and Spark, along with the ability to write complex SQL queries

• Knowledge of cybersecurity principles and their practical application (computer networking, network security, or system security); cybersecurity certifications are highly desirable

• Practical application experience with statistical methods and concepts such as regression, properties of distributions, statistical tests, and their appropriate usage

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• structured career growth and plenty of developmental opportunities

• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Jo Synn Tan or email [email protected] Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22107752

EA License Number: 07C3924 | Company Registration No: 200609504D

Responsibilities:-

• Design, develop and program methods, processes, and systems to consolidated and analyse unstructured, diverse data sources to generate actionable insights and solutions for Management
• Develop and code software program, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with business experts to enrich the data and find meaningful insights that can be applied to build actionable solutions.
• Automate repetitive data tasks, to streamline the process, and minimize manual intervention.
• Create data visualization to effectively communicate findings and recommendations to stakeholders.
• Stay update on industry trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control on any tasks or projects handling requirements.
• Provide support in administrative matters and ad-hoc tasks assigned by HOD from time to time.

Requirements:-

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 1-2 years of experience in a data science role.
• Minimum 1-2 year of working experience in similar industry would be a plus.
• Proficiency in programming languages such as Phython, R, SQL & PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visualization tools (eg: PowerBI) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Strong in Microsoft

Responsibilities

• Data Collection & Reporting: Assist in gathering, organizing and analyz-ing data from web based data, focusing on key performance indicators such as waste and recycling tonnage.
• Liaising with operations: Work closely with operational teams ensure timely and accurate submission of operations data. Provide support and guidance to operations as needed to improve data reporting processes.
• Data Accuracy & Quality Assurance: Perform regular data quality checks to verify accuracy, completeness, and consistency of sustainability data. Identify discrepancies or issues and work with local teams to resolve them.
• Updating of route plan masterlist: Assist in the updating process for new collection data points.
• Liaising with estate managers: Provide estate managers sustainability data in a timely and accurate manner.
• Data Entry & Updates: Ensure that all sustainability data is entered into the relevant tracking systems on time and in line with reporting sched-ules.
• Develop & Maintain Reporting Tools: Assist in creating and maintaining data dashboards and reports that provide real-time insights into sustaina-bility performance.
• Reporting Support: Help prepare periodic sustainability reports and presentations for internal stakeholders
• Collaboration & Communication: Work closely with customer service team to serve as a joint point of contact for sustainability data
• Ad-hoc Project Support: Assist with various sustainability initiatives and projects as required, providing data support and helping to implement new programs or processes

Requirements:

• Have at least 1-2 years of experience in sustainability data or related fields.
• Graduated from a diploma program in Environmental Science, Sustaina-bility, Engineering, Business, or a related field.
• Strong analytical skills, with experience in data collection, cleaning, and analysis.
• Proficiency in Microsoft Excel, Google Sheets. Data analysis tools (e.g., Power BI, Python) is a plus but not required.
• Interest in sustainability and environmental impact, with a willingness to learn and contribute to global sustainability efforts

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Overview

Each year, we as Oldendorff, carry about 380 million tons of bulk and unitized cargo around the world. We perform 15,000 port calls in 118 countries. On average, we operate 700 chartered and owned ships at any one time. Being with us, means working in a continuously changing internationally environment, where reliability is appreciated as is team spirit. Combined with a healthy driver to keep seeking for areas to develop you and your company to reach higher goals – we welcome you to set sail with us.

After the strategic shift towards a cloud-based and innovative Technology organization, we established a dynamic, modern and agile working environment. Join our culturally diverse 80 people-strong team, encouraging creativity and shaping Oldendorff’s digital future.

Our data engineering team designs, builds, and maintains scalable data pipelines and architectures to ensure seamless data flow and accessibility across the organization. The team works collaboratively with data scientists, analysts, and other stakeholders to optimize data integration, storage, and retrieval processes.

Essential Functions:

· In a group effort together with your team, you are shaping and designing our BI and data-architecture solution in the Cloud.

· You are developing data solutions with several platform technologies (e.g. Databricks, Logic Apps, Azure Data Factory, Azure Synapse).

· You are developing low-code solutions with Power Platform.

· You have comprehensive knowledge of DevOps principles.

· You are working on the development of our integrated data layer as the foundation of implementing data-driven analysis and reports using SQL and PySpark.

· You are supporting our development team in their selection and implementation of suitable data technologies.

· You are examining and evaluating new developments in the field of data technologies.

Skill Requirements:

· Successfully completed training or studies in the field of IT

· You have worked with databases or BI environments for more than 3 years, ETL/ELT experience with data integration and data processing.

· You are already experienced in working with different types of database technologies, scalable big data storage, preferable Azure Data Lake Storage.

· You are experienced in working with cloud technologies and cloud-based data-integration tools.

· Further to that, you are ideally familiar with agile project-processes (i.e. Scrum, Kanban) and you bring along some knowledge in Atlassian Suite (i.e. Jira, Confluence, Bitbucket and Bamboo).

· You are solution-driven, proactive and a team player.

· You enjoy communicating with our colleagues in English, because our team is indeed very international.

Mandatory Skills

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

o Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

o Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

6+ years of experience in data engineering, big data technologies, or a

similar role.

Mandatory Skills

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

o Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

o Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

6+ years of experience in data engineering, big data technologies, or a

similar role.

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Key Responsibilities:

• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues - Track record in implementing systems with high availability, high performance, high security.

The Talent:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Strong experience in Cloudera implementations and administration
• Strong knowledge on CDP, CDH and HDP
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

We regret that only shortlisted candidates will be notified.

Please kindly send in your updated CV (please include your current salary package with full breakdown and expected salary) to [email protected]. Your interest will be treated in strict confidence.

People Profilers Pte Ltd

DID: 6950 9738

http://www.peopleprofilers.com

Lim Yi Tian, Candy

EA License No. 02C4944
Registration No. R1109829

Recruitment Function:

Assist with day-to-day operations of the HR functions and duties (onboarding, offboarding, prepare HR letters including New hires; Confirmation; Promotion; Acceptance of Resignation and Warning Letters)

Update the outsource partner on the new hires details as well as resignees

Update Pfile to ensure all documents are in place both hardcopy and digital.

Monitor and follow up on all work pass application and renewal and cancellation

Register related course, like csoc, core trade etc.\

Renewal R1

Register /De-register the thumb print to enable staff can clock in/out in both outlets and FAB App

Update insurance company on the new hire and resign status

Update organization chart updates

Conduct Orientation and Exit Clearance

Admin Function

Support general office administration and operations

Monitor renewal of all company purchases and services contracts such as equipment; retail outlet leasing; insurance; pest control; software licenses etc.

Source for new equipment

Manage and upkeep inventory for stationery, pantry, cleaning supplies etc.

Source for relevant course for staff to attend, course registration and arrange payment and submit grant and follow up grant status

Support company /staff events eg Annual outing

Ad-hoc or HR project follow up duties as and when assigned by the superior

Qualifications

Minimum 2 years of HR experience required

Possessing good HR knowledge and understanding of the Employment Act and the labour laws in Singapore is a must.

Focused mainly on Payroll and Compensation.

Required to be highly independent and possess a high level of integrity.

Must be willing to adapt to changes in a fast paced environment

Must be very organised and meticulous

Good communication & interpersonal skills.

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

Benefits Summary:

• 5 day work week: Monday to Friday
• 9am to 6pm
• Central Area
• Fresh graduates are welcome to apply!

Job Description:

• Conduct follow-up calls to clients.
• Support clients in completing their applications through the bank system.
• Coordinate pending documentation with clients and the processing team.
• Prepare and submit daily reports to management.
• Address and resolve objections effectively.
• Work closely with relevant departments to resolve client issues and concerns.

Job Requirement:

• No relevant experiences are needed (training will be provided).
• Minimum qualification: "N" Level.
• Possess good phone etiquette.
• Willingness to learn.

Please submit your updated resume by using the APPLY NOW BUTTON.

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

*We regret to inform you that only shortlisted candidates will be notified*
We wish you all the best in your career search.

You are welcome to visit our website at www.rkgroup.sg

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

Raymond Ng Jun Han | EA Personnel No.: R1657009

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

Job Responsibilities:

• Handle day to day full set of HR matter.
• Participate in end-to-end recruitment process, from posting of job advertisements, reviewing of applications, salary benchmarking, arrange and conduct interviews.
• Handle Work Pass including work permit, S Pass and EP application, renewal & cancellation
• Prepare and conduct new staff onboarding and orientation.
• Monitor staff confirmation and handle disciplinary issues
• Manage and maintain employee's records in system
• Administer medical claim, leave application and Time Management HRMS
• Handle Payroll process and generate monthly payroll and reports independently
• Handle all employee related government matter like MOM survey, CPF submission, tax clearence (IR8A,IR21)
• Manage queries on payroll related matters promptly to all employees.
• Process foreign worker levy waiver claim for foreign employees
• Handling incoming operations calls/ emails and record on schedule accordingly
• Other office and operational administration duties assigned by manager.

Requirements:

• At least 3 years of relevant working experience in the related field.
• Good in English written.
• Computer literate with strong proficiency in Microsoft Office applications.
• Good knowledge of Employment Act, MOM regulations and practices
• Experience in HR software will be advantages
• Singaporean & Singapore PR are welcome.

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

PERTINENT LAW LLP, a dynamic and fast-growing firm requires the following:

DATA ENTRY CLERK

Job Description:

• Data Entry via HotDocs system
• Ensure that all tasks are completed/submitted in accordance to Standard Operating Procedures within the agreed timelines/SLA
• Carry out any other duties as assigned

The Talent:

• Min GCE "O" Level
• Proficiency in Microsoft Office and other office productivity tools, with aptitude to learn new software and systems
• Quick learner with a proactive attitude
• Ability to work independently with minimal supervision
• High attention to detail and a strong sense of accuracy
• No prior experience required; comprehensive training will be provided

If you are eager to start your career in a dynamic legal environment, please submit your resume in strict confidence to [email protected]. Kindly indicate the subject as "Data Entry Clerk" when sending your email.

“ Without continual growth and progress, such words as improvement, achievement, and success have no meaning”

- Benjamin Franklin

The learning process is instrumental in shaping one's personality and the way they deal with life’s situations. That is why proper guidance is necessary for the success of every individual.

We pride ourself in nurturing our people; the knowledge and skills they acquired today will drive productivity and value in the long run.

What you will do:

· Represent clients’ products and provide the most suitable package to customers based on their needs

· Monitor brand evolution and competitors’ pricing

· Build customer relationships and organize daily work schedule to call on existing or potential sales outlets

· Attend product trainings and upskilling topics

· Provide solutions and ideas to assist company’s growth and expansion

Requirements:

· Minimum 17 Years Old

· Strong interpersonal and communication abilities

· Motivated and self-discipline

· Adaptable in a fast-paced, dynamic environment

· Able to work well with detailed information

· Willingness to learn all aspects of business operations work

Time waits for no one. If not now, when?

Job Responsibilities:

• Manage customer orders
• Provide customer service support
• Coordinate the provision of samples
• Collaborate with production to manage order lead times, resolve daily issues, and ensure on-time delivery
• Communicate with suppliers and clients
• Prepare quotations, tenders, purchase orders, delivery orders, and handle data entry
• Organize and plan delivery schedules

Requirements:

• Experience in the garment industry or a Diploma in Fashion Merchandising or a related field
• Strong communication skills
• A team player who is self-motivated and highly driven
• Detail-oriented and eager to learn

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Nyon Hock Sen
EA Personnel Reg No: R24124070

About Us

DFI Retail Group (the ‘Group’) is a leading pan-Asian retailer. At 30th June 2023, the Group and its associates and joint ventures operated over 10,700 outlets and employed some 218,000 people. The Group had total annual revenue in 2022 exceeding US$27 billion.

The Group provides quality and value to Asian consumers by offering leading brands, a compelling retail experience and great service; all delivered through a strong store network supported by efficient supply chains. The Group (including associates and joint ventures) operates under a number of well-known brands across food, health and beauty, home furnishings, restaurants and other retailing.

DFI Retail Group is a member of the Jardine Matheson Group.

The Role

The successful candidate will be supporting the operations team in administrative matters. The key responsibilities are as below.

• Complete the assigned reports and KPI collation within the stipulated time
• Perform data entry and ensure the accuracy of the details input
• Support administration matters such as leave submission, uniform distribution, etc
• Attend the hotline calls from the stores
• Any ad-hoc duties assigned

About You

• Minimum 2 years of administrative experience
• Experienced in using Microsoft Word and Excel
• Meticulous and organized team player

Benefit

• Team Member Discount
• Subsidized Medical and Dental Benefits
• Training Opportunities
• Career Advancement

We are online! Follow us on Facebook/Instagram/Telegram: DFI Retail Group SG Careers!

Position: Warehouse & class 3 Driver

Employer Company: Services

Gender: Male, No. 3 driver's license

Salary: basic salary 2500 + 300 transportation allowance, additional performance bonus,

Working hours:

Work 8am-6pm hours a day,

Saturday 8am-1pm

Remark:

1: High emotional intelligence and strong communication skills. Good service attitude, good health, dignified appearance, able to bear hardships and stand hard work, need to lift heavy objects,

Obey the personnel arrangement, the work is to deliver goods, dismantle goods, and be able to communicate well with colleagues in the warehouse to replenish the goods. Read. Write simple Chinese and English,

3: Annual sick leave with the Department of Labor, depending on the performance bonus 13 salary

7. The car cannot be driven back, and it is located near the work address

Work Address: Bukit Batok

whatsapp: 85986715

Jie Shun Jia | EA License No.: 24C2410 | EA Registration No.: R24124440 (FENG YINGJIE)