Job Description / Requirements / Skills / Responsibilities:

· Possess a degree in Computer Science/Information Technology or related fields.

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

Familiarity with Denodo

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Objectives of the position:

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

Key Responsibilities

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

Skills & Qualification

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

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

Key Responsibilities:

• Data Analysis: Collect, process, and analyze large datasets to uncover trends, patterns, and insights
• Reporting and Visualization: Create engaging dashboards and reports using tools like Power BI, Tableau, or Excel to support key business decisions
• Collaborative Problem-Solving: Work closely with cross-functional teams to identify challenges and present data-driven solutions
• Predictive Modelling: Apply statistical models and machine learning techniques to forecast trends and behaviors
• Data Quality Assurance: Ensure accuracy, consistency, and reliability of data through effective validation processes
• Business Insights Delivery: Translate complex data into simple, actionable recommendations for stakeholders
• Technology Adoption: Stay updated on the latest data analysis tools and methodologies to enhance our processes
• Innovation and Growth: Contribute fresh ideas to improve data systems and processes, fostering a culture of continuous improvement
• Stakeholder Engagement: Present findings and insights to internal and external stakeholders effectively
• Professional Development: Participate in training and mentorship programs to advance your technical and analytical skills

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with a keen attention to detail
• Excellent communication skills to convey complex information effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

● Handle paper work ( Quotation / Tax Invoice / Progress Claims / Purchase Order ).

● Answer phone call and reply email.

● Know how to use Microsoft excel / word.

● Good in English, can speak Chinese priority.

● Good attitude, willing to learn and looking for Admin/Office job.

● 1++ year of working experience.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

✨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

Bookkeeping Clerk (Clinic)

• 5.5 Days
• 8.30am to 5.30pm / 8.30am to 1pm
• S$ 2,200 to 2,500
• Location: Orchard

Job Scope:

• Maintain & Manage records, Filing, Key in data
• Answering calls, Cashiering, Dispensing of medications
• Maintain hygienic environment, ensure patient safety

Job Requirements:

• Minimum O levels is required

Apply now for Interview arrangement

Daniel Wong Reg No: R2095781

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Industry/ Organization Type: Furniture Manufacturer
• Position Title: General Admin Clerk
• Working Location: Kaki Bukit
• Working Hours: 5.5 days (Monday – Friday: 8.00am – 5.30pm, Saturday: 8am – 12.30pm)
• Salary Package: Basic Salary up to $3,000
• Duration: Permanent

Key Responsibilities

• Prepare essential documents, such as memos, reports, and other forms of communication.
• Manage and respond to emails and phone calls, forwarding communications to the right people when necessary.
• Regularly communicate with staff to help procure necessary items for the office.

APPLY NOW!!!

• 1-2 years of experience for entry-level positions.
• A Diploma or Degree in Office Administration is a plus.
• Familiar with productivity tools like Microsoft Office Suite.
• Knowledge of email platforms like Microsoft Outlook and Gmail.
• Ability to use or learn office equipment such as printers, fax machines, and phone systems.
• Strong communication skills.
• Able to work independently and ask for help when needed.

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #70403 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Required General or Admin Clerk

- asknowledge in Microsoft Excel.

- asknowledge in Microsoft Word.

- Answering phone call.

- prepare and printing email

- Preparing for DO, invoices and related documents for delivery

- preparing Purchase orders

- prepare for shipping

- Able to speak Mandarin

- 5 days works

Interested applicants (Singaporean,PR, Work permit), please write in and email to [email protected]

✨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

* Excellent customer service and customer acquisition

* Brand enhancement for reputable clients

* Conducting presentations

* Assisting in the local and regional expansion of our organisational growth

* Developing coaching skills

Benefits:

* One-to-one guidance

* Transparent career growth

* Leadership and personal development workshops

* Global overseas exposure

* Vibrant team environment

Requirements:

* Keen to learn, self driven individuals

* Team player with entrepreneurial mindset

* Good interpersonal skills

✨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

Working Day: Mon to Fri & Alt half Sat

Working Hours: 8am – 5pm & 8am – 12pm

Salary: $2000 - $2500 + OT

Location: Sungei Kadut Way (Company transport provided, pick up at Yew Tee mrt)

Job Responsibilities

• To maintain a proper and accurate record of stock inventory inclusive of inventory check and stock count.
• Coordinate with all related departments in all inventory issues.
• Undertake all calls on stock enquiries.
• To prepare and submit all required inventory reports
• Carries out routine checks on stock items and reports missing/damaged items (For ISO purpose)
• To perform overtime as and when require
• To undergo cross training in inventory within warehouse
• Undertake any other duties assigned by the Warehouse Manager/Assistant Manager
• Prepare packing list for shipment purpose (Export)

Requirements

• Possess Secondary / “O” level
• Preferably with 2 years of relevant experience

Low Jia Yi R22104302
The Supreme HR Advisory Pte Ltd 14C7279

Job Description & Requirements for Administrative Clerk:

• Apply/Renew MOM work permits
• Submit CPF contributions
• Manage payroll processing
• Handle GST quarterly submissions
• Prepare month-end closing reports

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Job Descriptions:

• Receive training about BI (Business Intelligent) products, data analysis and project management;
• Execution of data validation, data mining and data analysis activities;
• Assist Lead Data Analyst (LDA) with BI project implementation leveraging Yonyou BI product (integrated with Yonyou EPR system and Cloud Platforms) ;
• Assist LDA in drafting the scope of BI project, and confirming the project timeline.
• Prepare technical documentation and other deliverables to meet the project requirements, and Summarize the best practice of software solution implementation project implementation.

Requirements:

• 3 years of experience in Data Analyzing preferably in the fields in Business applications and cloud solutions, ERP experience
• Graduated in Data Science, Information Technology, and Business Analyst.
• Preferably familiar with database tools such as SQL query and has experience in DBMS e.g. SQL Server, Oracle will have an advantage.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue
• Excellent problem-solving and analytical skills and good verbal and written communication skills.
• A team contributor who can learn fast, perform under pressure and excel in a fast-paced environment.
• Fluency in both English and Mandarin is required to liaise with English and Mandarin-speaking associates.
• Will be based in Singapore and travel for overseas projects in Southeast Asia

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Summary:

We are seeking a skilled Data Engineer with 3 to 5+ years of experience in Databricks and Python to join our dynamic team. The ideal candidate will play a key role in designing, developing, and optimizing data pipelines and analytics solutions on Databricks. Experience with AWS Cloud is highly preferred.

Key Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Optimize and troubleshoot existing Databricks workflows for performance and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement data processing solutions using Spark in Databricks.
• Integrate and manage data from multiple sources, ensuring accuracy, quality, and consistency.
• Leverage AWS cloud services (e.g., S3, Lambda, Redshift, Glue) for data storage, transformation, and analytics.
• Perform data profiling and validation to ensure the reliability of processed data.
• Monitor and maintain data pipelines for continuous performance improvements and error handling.

Required Skills:

• 3-5+ years of hands-on experience with Databricks and Python development.
• Strong expertise in PySpark and data transformation techniques.
• Proficiency in writing optimized, efficient, and scalable Python code.
• Experience with SQL and relational databases for data querying and manipulation.
• Familiarity with AWS services (e.g., S3, EC2, RDS) and cloud-based data engineering concepts.
• Knowledge of version control systems such as Git.
• Strong problem-solving and analytical skills with a focus on data processing and integration.

Preferred Skills:

• Working experience with AWS Redshift, Glue, or Athena.
• Familiarity with CI/CD pipelines for data engineering projects.
• Exposure to data visualization tools or frameworks.
• Knowledge of data security best practices and governance principles.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Relevant certifications in Databricks, AWS, or Python development are a plus.

Job Description

• Data entry
• Preparation of reports
• Providing administration support to QC

Job Requirements

1. Have admin or assistant experience advantageous
2. Excellent time management skills and ability to multi-task and prioritize work
3. Attention to detail and problem solving skills
4. Excellent written and verbal communication skills
5. Strong organizational and planning skills
6. Proficient in MS Office

Our client is an FMCG goods wholesaler in Singapore.
Company transport is provided in Tuas MRT.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996