Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

Roles & Responsibilities

Reporting to the Alumni Relations team, this intern is responsible in supporting the Alumni Relations data entry.

Key accountabilities include:

• Support data cleaning and management process (e.g. keeping Alumni data up to date including alumni and prospect basic information, speakers list etc.)
• Analysis for sales plan and lead generation plans.
• Clean database of alumni so staff can view and search alumni, speakers, and contact information through Zoho platform.
• Any other duties assigned.

Knowledge & Skills:

• Basic Excell Skills
• Meticulous, detail-oriented, proactive, problem-solver, analytical

Provide general adminstrative duties and clerical support

Filling and and organizing records, invoices, and other documentation

managing incoming and outgoing correspondence including phone calls, emails

input orders and data entry

generating delivery orders

tracking customer orders to ensure on-time collection or delivery of shipment

co-ordinating with customers on appointment

ad-hoc duties as and when assigned

team player and training provided

Job Title: Data Entry Clerk (ID5087)

Location: Jurong East

Working Hours: Mon to Fri 8.30am – 5.30pm , Sat 8.30am – 12.30pm

Salary: up to $2100

Job Description:

• Order processing - to do GR and GI in SAP and WMS

• Liaising and co-ordinating with customer

• Performing daily/monthly/quarterly cycle count

• Any other ad-hoc duties

Requirement:

• At least 1–2 years of relevant experience

• Computer Literate & Proficient in MS Office

About the Role:
We are seeking a highly motivated Metadata Specialist to join our team. In this role, you will play a key part in the implementation and management of metadata to support enterprise data governance and compliance initiatives. If you have a strong background in data management, problem-solving, and stakeholder engagement within the financial services domain, we’d love to hear from you.

Key Responsibilities:

• Manage metadata activities across the entire lifecycle, including collection, quality control, and maintenance.
• Conduct thorough reviews of metadata to ensure accuracy, quality, and compliance with organizational governance standards.
• Provide recommendations on metadata improvements based on stakeholder input and governance guidelines.
• Support the onboarding of stakeholders, particularly within financial institutions, into the organization's data governance and compliance roadmaps.
• Collaborate with cross-functional teams to ensure metadata aligns with enterprise data management objectives.
• Identify, analyze, and resolve metadata challenges to support effective data discovery and utilization.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience with metadata management, quality control, and governance processes.
• Strong problem-solving skills, with the ability to analyze complex metadata issues and provide actionable solutions.
• Experience in stakeholder engagement, particularly in guiding financial institutions through data governance frameworks.
• Excellent communication and interpersonal skills to collaborate with various teams and stakeholders.

Preferred Qualifications:

• Familiarity with enterprise data governance tools and platforms.
• Experience in metadata management within financial institutions or highly regulated industries.
• Knowledge of compliance and data governance best practices.

EA License: R1873481

Company EA License: 11C4879

• Strong programming experience with frameworks including XML, JavaScript, and ETL
• Developing, updating, and automating reports and dashboards using visualization tools
• Using software to automate data collection and modification
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• 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.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• 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.

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.

We are looking for a skilled and experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to support the processing and analysis of clinical study and digital device sensor data. As a Data Engineer, you will work closely with data scientists and software engineers to ensure the efficient and reliable flow of data from source systems to analytical tools and platforms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines to ingest, transform, and load clinical study data from various sources, including digital device sensors.
• Optimize data storage and retrieval processes in cloud-based platforms to ensure high performance and reliability.
• Collaborate with data scientists to integrate data processing pipelines with AI-powered algorithms and third-party analytical tools or platforms.
• Implement data quality checks and monitoring mechanisms to ensure the integrity and accuracy of the data.
• Troubleshoot and resolve issues related to data pipeline performance, reliability, and scalability.
• Work closely with software developers, system architects and other cross-functional teams to develop data-driven business solutions.
• Stay up-to-date with emerging technologies in AI & Cloud computing and best practices in data engineering to continuously improve data processing pipelines and infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and building data pipelines using ETL tools and frameworks such as Apache Spark, Apache Beam, or Apache Airflow.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of database systems, data warehousing concepts, SQL and NoSQL.
• Experience with AI and Cloud Computing: Hands-on experience with cloud platforms like AWS and familiarity with AI solutions in these environments.
• Excellent problem-solving and troubleshooting skills with a strong attention to detail and quality.
• Effective communication and collaboration skills with the ability to work in a team environment.

Preferred Qualifications:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with big data technologies such as Hadoop, Hive, or Presto.
• Knowledge of distributed computing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with ElasticSearch or AWS OpenSearch is plus
• Prior experience working with healthcare or clinical data is a plus.

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

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

Data Analyst

1 year contract, potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class US Consumer company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is an American consumer health company. It is the proprietor of well-known consumer brands. They combine the power of science with meaningful human insights to empower people around the world to live healthier lives.

What You Will Do

The Data Analyst is responsible for collecting, processing and performing statistical analyses of large sets of data. The candidate will work with both structured and unstructured data to extract insights and identify patterns that can help businesses make informed decisions, including performing data entry tasks.

Major Responsibilities:

• Maintain timely and accurate data entry for Innovation projects into Planisware (Project System).
• Collecting and interpreting data from various sources to identify trends, patterns, and insights.
• Implementing data analysis tools and techniques to improve business decision-making.
• Creating reports and visualizations that help to communicate complex data in a clear and concise manner.
• Working with large amounts of data incl. real-time, to provide meaningful insights and recommendations that help to drive right decision making for business growth.
• Ensuring data accuracy, completeness, and consistency.
• Developing and implementing data quality standards and processes.
• Staying up-to-date with emerging tools and technologies in data analytics (e.g. PowerBi, ChatGPT, SQL or Python)
• Collaborating with cross-functional team to understand business problems and develop right solutions.
• Communicating findings and recommendations to stakeholders in a clear and actionable way.

Required Qualifications, Capabilities, and Skills

• Degree in any Business/ Information Technology/ Engineering field with minimum 2 years of experience
• Ability to prioritize and multi-task
• Proficient in Microsoft Office
• Ability to work independently and as part of cross-functional team
• Strong attention to detail
• Ability to maintain confidentiality
• Excellent etiquette across all standard modes of communication and ability to manage competing priorities i.e. calendar management
• Experience with Data Visualization tools like Power BI
• Experience in innovation and life cycle project management with PMO skills
• Good financial understanding and analytics skills

Interested parties, kindly click on the apply button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

About the Role

We are seeking a detail-oriented and motivated Junior Data Analyst to join our team. The ideal candidate will play a crucial role in analyzing data, generating insights, and providing support for data-driven decision-making. A strong proficiency in Microsoft Excel and the ability to create and maintain macros is essential for this position.

Key Responsibilities

• Collect, clean, and organize data from various sources to support business analysis.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain complex Excel spreadsheets, including the creation and optimization of macros for automation.
• Generate reports and dashboards to present findings and recommendations to stakeholders.
• Collaborate with team members to understand data requirements and deliver solutions accordingly.
• Ensure data accuracy and integrity through regular audits and validation processes.
• Assist in ad hoc analysis and reporting tasks as needed.

Requirements

• Bachelor’s degree in a relevant field such as Statistics, Mathematics, Computer Science, or related disciplines.
• Proficiency in Microsoft Excel, including advanced functions, pivot tables, and macros.
• Strong analytical and problem-solving skills with attention to detail.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication skills and ability to present data insights clearly.
• Interest to learn and engage in business support related work.
• Meticulous, good with numbers, and well-organized individual
• Be dynamic, highly motivated, self-driven in working.
• Excellent interpersonal and communication skills. Candidate must demonstrate strong communication and interpersonal skills.
• Good command of mandarin to speak with our chinese-speaking associates in China.

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!

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

LOOKING FOR LIKE-MINDED INDIVIDUALS READY TO BUILD THEIR CAREER WITH US!