830 Data Support jobs in Singapore

We are seeking a highly skilled and detail-oriented individual to fill the role of Part Time Research Assistant. The successful candidate will be responsible for supporting our research team in data collection, leveraging strong interpersonal skills and ability to work independently.

• Main Responsibilities:
• Screen, recruit and follow up with research participants to ensure accurate data collection
• Conduct surveys and manage participant tokens of appreciation to maintain positive relationships
• Perform data entry and maintain accurate records to facilitate informed decision-making
• Support project administration and fieldwork documentation to ensure seamless execution
• Collaborate with the research team on hospital wards and home visits to collect valuable insights

Required Skills and Qualifications

• Minimum Part Time Degree or Degree in Science to provide a solid foundation for research
• Able to commit to a one-year term to ensure continuity and consistency
• Flexible scheduling to accommodate evenings and weekends as needed

Working Hours and Schedule

The successful candidate will work an average of 42 hours per week, with flexible hours between 8am - 8pm, subject to rostering. This may include evenings and weekends depending on project requirements.

Contract Duration

· 1 year

Working Location

· Novena

Working Hours

· 5 Days (Mon, Tue, Thur & Fri: 9.00am to 6.30pm; Wed: 9.00am to 6.00pm)

· Lunch: 1 hour

Offered Salary

• Up to S$3,000 per month (Depending on qualifications & experience and subject to client's approval)

Requirements, Skills and Experience Level

· Minimally an A-level or Polytechnic graduate

• Excellent organisational and administrative capabilities, with a keen eye for detail.
• Basic knowledge of data analysis, machine learning concepts, and data governance practices.
• Strong communication skills, capable of producing clear and engaging content for a variety of audiences.
• Proficiency in office software and tools, with an openness to learning new technologies relevant to data analysis and communication.
• Ability to work collaboratively in a team, demonstrating flexibility and a positive attitude.
• Self-motivated with the ability to manage tasks independently in a fast-paced environment.

Additional Information:

This temporary position offers a unique opportunity to gain experience and contribute to the success of the data division in a dynamic and fast-paced environment of data analytics and AI. The role is ideal for individuals looking to gain work experience and learn from experienced data professionals in areas of data analytics, AI and data governance, while developing their administrative and organisational skills.

Job Description

Overview:

The Temporary Support Role within the Data Division is designed to provide support across a range of functions to enhance the division's productivity and efficiency on a temporary basis. The individual in this role will contribute to administrative tasks, support data analysis and machine learning projects, assist in organising team events, and help manage data governance and communication efforts. This position requires adaptability, attention to detail, and a collaborative approach.

Key Responsibilities:

1. Support for Data Analysis and Machine Learning Projects:

· Aid data analysts and data scientists by collecting and preparing training datasets, which includes tasks such as gathering images and labelling data accurately.

· Participate in the validation of machine learning models by conducting preliminary tests and providing feedback to improve accuracy and efficiency.

1. Data Governance and Management Assistance:

· Support data governance efforts, ensuring compliance with relevant standards and regulations.

· Help in tracking data acquisitions, requests and monitoring of data sharing activities, ensuring compliance with data protection and privacy regulations.

· Support the implementation of data governance frameworks by documenting data processes and maintaining data inventories.

1. Administrative Assistance:

· Conduct administrative duties such as scheduling and arranging Data Division meetings and events, booking of related venues, requesting and circulating agenda and taking of meeting notes.

· Ensure effective knowledge management by updating the taxonomy, assisting project leads to archive information, and keeping records up-to-date and making information readily accessible to team members.

1. Team Building and Event Organisation:

· Assist in the planning and execution of team-building activities and retreats, contributing to a positive and cohesive team environment.

· Support logistical arrangements and coordinate with vendors and venues to ensure events run smoothly.

· Organise brownbag sessions and data workshops for data users within the organisation.

1. Communication and Promotion Support:

· Contribute to the creation of communication materials such as newsletters, blog posts, and social media content to promote the division's work and achievements.

· Assist in updating the division's web content and managing online platforms to engage with the community and stakeholders effectively.

· Assist with the workplan consultation process including the call for collaboration inputs and setting up of Division's booth at the organisation workplan seminar.

EA License No.: 96C4864

Reg No.: R1106928 TOH LAY HOON

We are seeking an experienced professional to join our team as a Database Support Specialist.

• The ideal candidate will have expertise in managing and maintaining SQL Server instances across multiple environments, including development, QA, and production.

To succeed in this role, you must possess the following skills:

• Expertise in MS SQL DBA, Always-on, Performance Tuning
• Proficiency in configuring and supporting Always-On Availability Groups, failover clusters, and other HA/DR solutions
• Knowledge of database installations, upgrades, patching, and migrations across SQL Server versions (2008–2019)

In this position, you will be responsible for:

1. Managing and maintaining SQL Server instances across development, QA, and production environments
2. Configuring and supporting Always-On Availability Groups, failover clusters, and other HA/DR solutions
3. Performing database installations, upgrades, patching, and migrations across SQL Server versions (2008–2019)
4. Providing L3-level support for escalated tickets from L2 teams, including incident resolution and root cause analysis
5. Participating in 24x7 production support, including weekend and off-hours coverage for outages and scheduled activities
6. Troubleshooting issues related to login failures, port conflicts, TLS/SSL handshakes, and cross-server connectivity

We offer a range of benefits, including:

• Opportunities for career growth and professional development
• A dynamic and supportive work environment
• A competitive salary and benefits package

Location

Business Area

Data

Ref #

10045120

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.


Our Team:
The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the "ADSK" system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients. The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.

What’s the role?
Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.

We'll trust you to:

• Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
• Use your customer service skills and subject matter expertise to educate and inform our clients
• Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
• Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
• Enhance customer operational performance by using Help Desk resources
• Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
• Make independent decisions to resolve customer issues with strong problem solving skills
  

• 1-3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
• Proficiency in data analytics tools such as QlikSense, or Tableau
• Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
• Proven written and verbal communication skill in English and Japanese or Korean
• A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
• Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
• Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
• Ability to work independently & in a team environment under deadlines, demonstrating self-motivation
• Demonstrated continuous career growth within an organisation

• Proficiency in another Asian language as this role will require coverage across Asia
• Proficiency in Microsoft Office suite & Google Drive

Location

Business Area

Data

Ref #

10045120

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing exceptional customer support to our clients.
Our Team:
The Global Data Analytics Team is the frontline customer service provider for Bloomberg's Data clients. We deliver knowledgeable and dedicated service to our customers addressing data related inquiries. We liaise with data’s domain based teams to help confirm and support data related inquiries through the "ADSK" system. We solve complex problems and provide accurate and timely solutions in order to consistently surpass the expectations of our clients. The team is structured into domain based teams across three asset classes with Equity, Fixed Income and Multi Asset teams across the globe with generalists across each group. These teams are directly aligned to domain based ADSK groups and partners among Data’s departments, Companies, Securities, Managed Investment and Benchmarks, Content Acquisition, and the Data Management Lab teams.
What’s the role?
Our Data Analysts are the front line of customer service for Data supporting both internal and external clients. In this role your core responsibility will be supporting Bloomberg clients through our Help Desk, which will allow you to develop general financial markets understanding and knowledge of the inner workings of Bloomberg's customer service technology. You will also use your project management skills and problem solving abilities to assist in the implementation of strategic solutions to improve client experience and team workflows and procedures. We are a large team that interacts with all areas of the business, therefore the ability to effectively connect with partners in different regions and roles is essential.
We'll trust you to:

• Leverage your customer service skills to provide exceptional customer service to Bloomberg clients via our Help Desk (ADSK)
• Use your customer service skills and subject matter expertise to educate and inform our clients
• Build and maintain relationships with key internal and external Stakeholders (such as Enterprise Support, Analytics, and Data Product Teams)
• Use problem solving and data analysis skills to find insights that assist in the implementation of strategic solutions to improve the client experience
• Enhance customer operational performance by using Help Desk resources
• Actively seek out opportunities for self-improvement, keeping up with new product training and process knowledge
• Make independent decisions to resolve customer issues with strong problem solving skills
  

• 1-3 years of work experience in the financial services industry, including exchanges, market data providers, financial technology or financial institutions
• Proficiency in data analytics tools such as QlikSense, or Tableau
• Experience working in a customer service roles where you're interacting with both internal and external clients, eg customer support or helpdesk roles
• Proven written and verbal communication skill in English and Japanese or Korean
• A bachelor's degree or higher in relevant data technology or financial field, or degree-equivalent qualifications
• Ability to adapt within a fast-paced and dynamic environment, and desire to work on multidisciplinary teams
• Demonstrated ability to take a logical approach and apply critical thinking skills in order to solve problems
• Ability to work independently & in a team environment under deadlines, demonstrating self-motivation
• Demonstrated continuous career growth within an organisation

• Proficiency in another Asian language as this role will require coverage across Asia
• Proficiency in Microsoft Office suite & Google Drive

Contract Duration

· 1 year

Working Location

· Novena

Working Hours

· 5 Days (Mon, Tue, Thur & Fri: 9.00am to 6.30pm; Wed: 9.00am to 6.00pm)

· Lunch: 1 hour

Offered Salary

• Up to S$3,000 per month (Depending on qualifications & experience and subject to client’s approval)

Requirements, Skills and Experience Level

· Minimally an A-level or Polytechnic graduate

• Excellent organisational and administrative capabilities, with a keen eye for detail.
• Basic knowledge of data analysis, machine learning concepts, and data governance practices.
• Strong communication skills, capable of producing clear and engaging content for a variety of audiences.
• Proficiency in office software and tools, with an openness to learning new technologies relevant to data analysis and communication.
• Ability to work collaboratively in a team, demonstrating flexibility and a positive attitude.
• Self-motivated with the ability to manage tasks independently in a fast-paced environment.

Additional Information:

This temporary position offers a unique opportunity to gain experience and contribute to the success of the data division in a dynamic and fast-paced environment of data analytics and AI. The role is ideal for individuals looking to gain work experience and learn from experienced data professionals in areas of data analytics, AI and data governance, while developing their administrative and organisational skills.

Job Description

Overview:

The Temporary Support Role within the Data Division is designed to provide support across a range of functions to enhance the division's productivity and efficiency on a temporary basis. The individual in this role will contribute to administrative tasks, support data analysis and machine learning projects, assist in organising team events, and help manage data governance and communication efforts. This position requires adaptability, attention to detail, and a collaborative approach.

Key Responsibilities:

1. Support for Data Analysis and Machine Learning Projects:

· Aid data analysts and data scientists by collecting and preparing training datasets, which includes tasks such as gathering images and labelling data accurately.

· Participate in the validation of machine learning models by conducting preliminary tests and providing feedback to improve accuracy and efficiency.

1. Data Governance and Management Assistance:

· Support data governance efforts, ensuring compliance with relevant standards and regulations.

· Help in tracking data acquisitions, requests and monitoring of data sharing activities, ensuring compliance with data protection and privacy regulations.

· Support the implementation of data governance frameworks by documenting data processes and maintaining data inventories.

1. Administrative Assistance:

· Conduct administrative duties such as scheduling and arranging Data Division meetings and events, booking of related venues, requesting and circulating agenda and taking of meeting notes.

· Ensure effective knowledge management by updating the taxonomy, assisting project leads to archive information, and keeping records up-to-date and making information readily accessible to team members.

1. Team Building and Event Organisation:

· Assist in the planning and execution of team-building activities and retreats, contributing to a positive and cohesive team environment.

· Support logistical arrangements and coordinate with vendors and venues to ensure events run smoothly.

· Organise brownbag sessions and data workshops for data users within the organisation.

1. Communication and Promotion Support:

· Contribute to the creation of communication materials such as newsletters, blog posts, and social media content to promote the division's work and achievements.

· Assist in updating the division's web content and managing online platforms to engage with the community and stakeholders effectively.

· Assist with the workplan consultation process including the call for collaboration inputs and setting up of Division’s booth at the organisation workplan seminar.

EA License No.: 96C4864

Reg No.: R1106928 TOH LAY HOON

Contract Duration

· 1 year

Working Location

· Novena

Working Hours

· 5 Days (Mon, Tue, Thur & Fri: 9.00am to 6.30pm; Wed: 9.00am to 6.00pm)

· Lunch: 1 hour

Offered Salary

• Up to S$3,000 per month (Depending on qualifications & experience and subject to client’s approval)

Requirements, Skills and Experience Level

· Minimally an A-level or Polytechnic graduate

• Excellent organisational and administrative capabilities, with a keen eye for detail.
• Basic knowledge of data analysis, machine learning concepts, and data governance practices.
• Strong communication skills, capable of producing clear and engaging content for a variety of audiences.
• Proficiency in office software and tools, with an openness to learning new technologies relevant to data analysis and communication.
• Ability to work collaboratively in a team, demonstrating flexibility and a positive attitude.
• Self-motivated with the ability to manage tasks independently in a fast-paced environment.

Additional Information:

This temporary position offers a unique opportunity to gain experience and contribute to the success of the data division in a dynamic and fast-paced environment of data analytics and AI. The role is ideal for individuals looking to gain work experience and learn from experienced data professionals in areas of data analytics, AI and data governance, while developing their administrative and organisational skills.

Job Description

Overview:

The Temporary Support Role within the Data Division is designed to provide support across a range of functions to enhance the division's productivity and efficiency on a temporary basis. The individual in this role will contribute to administrative tasks, support data analysis and machine learning projects, assist in organising team events, and help manage data governance and communication efforts. This position requires adaptability, attention to detail, and a collaborative approach.

Key Responsibilities:

1. Support for Data Analysis and Machine Learning Projects:

· Aid data analysts and data scientists by collecting and preparing training datasets, which includes tasks such as gathering images and labelling data accurately.

· Participate in the validation of machine learning models by conducting preliminary tests and providing feedback to improve accuracy and efficiency.

1. Data Governance and Management Assistance:

· Support data governance efforts, ensuring compliance with relevant standards and regulations.

· Help in tracking data acquisitions, requests and monitoring of data sharing activities, ensuring compliance with data protection and privacy regulations.

· Support the implementation of data governance frameworks by documenting data processes and maintaining data inventories.

1. Administrative Assistance:

· Conduct administrative duties such as scheduling and arranging Data Division meetings and events, booking of related venues, requesting and circulating agenda and taking of meeting notes.

· Ensure effective knowledge management by updating the taxonomy, assisting project leads to archive information, and keeping records up-to-date and making information readily accessible to team members.

1. Team Building and Event Organisation:

· Assist in the planning and execution of team-building activities and retreats, contributing to a positive and cohesive team environment.

· Support logistical arrangements and coordinate with vendors and venues to ensure events run smoothly.

· Organise brownbag sessions and data workshops for data users within the organisation.

1. Communication and Promotion Support:

· Contribute to the creation of communication materials such as newsletters, blog posts, and social media content to promote the division's work and achievements.

· Assist in updating the division's web content and managing online platforms to engage with the community and stakeholders effectively.

· Assist with the workplan consultation process including the call for collaboration inputs and setting up of Division’s booth at the organisation workplan seminar.

EA License No.: 96C4864

Reg No.: R1106928 TOH LAY HOON