436 Data Operations jobs in Singapore

Gain valuable experience in survey operations and statistical processes by joining our team as a Survey Operations Specialist. In this role, you will be responsible for collecting data through phone and face-to-face interviews, ensuring a smooth and professional survey experience that fosters high response rates and customer satisfaction.

• Operations: Collect data through phone and face-to-face interviews to ensure a smooth and professional survey experience.
• Strategy Development: Design and implement strategies to encourage online participation, reducing reliance on face-to-face interviews and optimizing survey response rates.
• Questionnaire Design: Utilize modern techniques to design surveys that meet organizational needs while keeping pace with technological trends and improving operational efficiency.
• Sampling Methodology: Apply advanced sampling methods that minimize survey fatigue among the public while ensuring the accuracy and representativeness of collected data.
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data. Explore alternative data sources and apply imputation methods to handle incomplete data.
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports, using data visualization tools to present findings effectively to stakeholders.
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments.

• Gain practical experience in survey operations and statistical processes.
• Rotate through different roles to understand various aspects of the department.
• Build your communication and interpersonal skills by engaging with a wide range of survey participants.
• Develop specialized expertise in areas that match your career aspirations.

• Good tertiary qualifications.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• A keen learner and self-starter.

We are seeking a skilled professional to drive survey success and contribute to business growth through expert data collection, strategy development, and questionnaire design.

• Key Responsibilities:
• Data Collection: Utilize modern techniques to collect high-quality data through various channels, ensuring high response rates and customer satisfaction.
• Strategy Development: Design and implement strategies to optimize survey response rates, reduce reliance on traditional methods, and enhance operational efficiency.
• Questionnaire Design: Leverage expertise in survey design to create effective questionnaires that meet organizational needs and keep pace with technological advancements.
• Sampling Methodology: Apply advanced sampling methods to minimize survey fatigue while ensuring the accuracy and representativeness of collected data.
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data, explore alternative data sources, and apply imputation methods to handle incomplete data.
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports using data visualization tools to present findings effectively to stakeholders.
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments.

This role offers opportunities for practical experience in survey operations, statistical processes, and communication skills development. You will gain hands-on experience, rotate through different roles, and develop specialized expertise in areas that match your career aspirations.

To succeed in this role, you should possess good tertiary qualifications, strong analytical and problem-solving skills, excellent communication and interpersonal skills, and a keen learner and self-starter mindset.

We are seeking a highly skilled and experienced Data Center Administrator to oversee the daily operations of our data center. This individual will be responsible for monitoring system performance, troubleshooting issues, ensuring minimal downtime, and coordinating with vendors for hardware/software support.

The ideal candidate will have a strong foundation in Windows/Linux server administration, virtualization, and networking basics. A diploma or degree in Computer Science or Information Technology is required, along with a minimum 2 years' experience in data center operations or system administration.

• Troubleshooting
• System Administration
• Networking
• Data Center
• Information Technology

Key responsibilities include:

• Monitoring system performance and identifying potential issues
• Troubleshooting problems and implementing solutions
• Ensuring minimal downtime and maintaining high availability
• Coordinating with vendors for hardware/software support

To be successful in this role, you will need:

• Strong knowledge of Windows/Linux server administration
• Experience with virtualization and networking basics
• A diploma or degree in Computer Science or Information Technology
• A minimum 2 years' experience in data center operations or system administration

This role offers:

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

Job Overview

We are seeking an experienced and highly skilled Meter Data Management Assistant to join our team. The successful candidate will be responsible for performing daily operational duties, including manual and remote reading related activities via various meter reading and billing systems.

Key Responsibilities:

• Perform daily operational duties for manual and remote reading related activities via various meter reading and billing systems, following up with relevant parties to resolve daily operational issues.
• Administer daily reports on meter reading related information to internal and external stakeholders.
• Manage enquiries through case activities, telephone calls, and email communications.

Requirements:

• A minimum diploma qualification is required.
• Proficient in Microsoft Excel with good analytical skills.
• Familiarity with the SAP system is advantageous.
• The ideal candidate must possess excellent communication and interpersonal skills, as well as the ability to work independently and collaboratively in a dynamic environment.
• Meticulous attention to detail is essential to meet deadlines.

Benefits:

• Contract duration: 6 months
• Working hours: Monday to Friday, 8:30am to 6pm
• Remuneration: Up to $2900 + 0.5 month completion bonus

We are seeking a detail-oriented and motivated individual to support our data operations team. This is a hands-on role focused on creating high-quality data for building great AI models.

Key Responsibilities:

• Data Annotation: Accurately review and label various types of content according to project guidelines.
• Quality Assurance: Conduct systematic checks to ensure all annotated data meets high standards of precision and consistency.
• Dataset Management: Assist with organizing and structuring datasets for AI model training.
• Process Feedback: Share insights to improve annotation tools, workflows, and labelling guidelines.
• Operational Assistance: Support engineers in finetuning AI models (e.g., running scripts, logging results).

Essential Qualifications:

• Strong command of English with excellent grammar and language nuance.
• Exceptional attention to detail – accuracy is the single most important quality for this role.
• Ability to maintain focus and consistency when performing repetitive tasks.
• Proficiency in MS Word and basic Python applications.
• Tech-savvy, fast learner of digital tools and platforms.
• Strong sense of responsibility and ownership over tasks.
• Available to start immediately.

We Offer:

• Fully stocked pantry with coffee machine, steam oven, etc.
• In-house gym and shower facilities
• Lunch provided in the office
• Ergonomic workstation
• Wide medical insurance coverage.

By Joining Our Team:

• Experience in building AI systems through data annotation and operational support.
• Opportunity to work closely with finance professionals, bridging data and real-world market applications.

Key Responsibilities:

• We are seeking a detail-oriented professional to support data management operations for enterprise data platforms.

Duties include performing data reconciliation and quality checks in line with service level agreements, monitoring and troubleshooting data issues, conducting data analysis, and managing data problems until resolution.

The ideal candidate will possess strong analytical, problem-solving, and logical thinking skills, as well as proficiency in SQL and experience working with relational databases.

In addition, the successful candidate will have knowledge of investment data and related domains, exposure to cloud-based data platforms, and experience supporting user acceptance testing activities.

As part of our team, you will collaborate with cross-functional teams to ensure data accuracy, integrity, and availability.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in data reconciliation, quality checks, and operational data support.
• Proficiency in SQL and experience working with relational databases.
• Knowledge of investment data and related domains.
• Strong analytical, problem-solving, and logical thinking skills.

Nice to Have:

• Exposure to Snowflake or similar cloud-based data platforms.

About this role:

This position is open to Singapore citizens only due to regulatory clearance requirements.

We offer an exciting opportunity for a talented individual to join our team and contribute to the success of our organization.

If you are passionate about data analysis and management, we encourage you to apply.

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Job Function: Investment Services Public Markets
Job Type: Permanent
GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.
Investment Services Public Markets
We strive to support business groups with digital capabilities and deliver environmental, social and governance focused capabilities, and market expertise.
Data Solutions & Services
You will help to design and lead strategic data solutions build-out to support our public markets investment capabilities. You will also conduct research and manage the implementation of data services for all investment strategies and new product lines, through the establishment of strategic partnerships and foster best practices in operating and service models.
The Business Data Operations team is responsible for all data operations to support our public markets investment capabilities. We are a team of data domain subject matter experts, providing highly quality and timely data used across the Organisation. The team is also responsible for operationalization of data services for all investment strategies & new product lines, leveraging a range of expertise and through the establishment of strategic partnerships across the firm and in the market, to embed and enforce best practices in data operating models.
What impact can you make in this role?
You will be part of a team that is an integrated investment service team that partners the business in providing services to support public markets investment.
We are seeking a highly skilled and motivated candidate, preferably with Artificial Intelligence working knowledge, to join our team and contribute to the development and management of GIC's enterprise Master Data Management (MDM) system. This system will serve as the "single source of truth" for all related data sets of entities and instruments, powering all enterprise data requirements with harmonized attributes. The MDM system will provide a complete view of exposures, enhance decision-making, and drive better insights across the organization. You will collaborate with systems and/or managed service providers to enhance and run our reference data management processes, ensuring seamless data integration and accessibility throughout GIC.
What will you do as an AVP, Business Data Operations?
Serve as a Subject Matter Expert, leading the development of business user requirements, designing testing strategies for user acceptance testing, and advising business units on data usage and data solutions that add value.
Manage and operate data management activities, including investigating and resolving data-related problems, exceptions, and data quality issues.
Provide guidance in evaluating business requests for data and assessing operational readiness for new products and/or markets.
Identify and implement process improvements and initiatives to drive efficiency, effectiveness and enhance business capabilities and performance.
Apply forward-thinking and a strategic mindset to build, innovate, and transform GIC’s data management capabilities, aligning with industry best practices.
What qualifications or skills should you possess in this role?
Degree in Finance, Accounting, Information Systems or relevant disciplines.
4-8 years of relevant work experience, preferably in the finance, investment or asset management industry.Business domain knowledge of derivatives contracts, structured products or private markets will be a strong bonus.
Self-starter with strong learning agility and adapt quickly.
Detail-oriented with strong analytical and troubleshooting skills.
Excellent stakeholder management and influencing skills.
A meticulous and motivated individual who thrives in a fast-paced, dynamic environment.
Experience or aptitude in a transformative role such as reinvigorating an operations function and driving change will be advantageous.
Forward looking with stronghands-on understanding of key principles, processes and controls relating to data management and reporting.
Working knowledge in Python, SQL, or AI tool is a plus.
Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard.Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.
Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.
GIC is an equal opportunity employer
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Please email at any point of the application or interview process if adjustments need to be made due to a disability.
Learn more about our Investment Services Public Markets Department here: #J-18808-Ljbffr

Embark on a rewarding career journey with the firm in the Instrument Reference Data Operations team where we are committed to excellence, innovation, and fostering a collaborative environment. The Reference Data team is part of the wider Data Solution Operations team in the Securities Services Organization. Data is the backbone of our institution and the overall quality, timeliness, accuracy, cleanliness of the data is crucial to the success of J.P. Morgan.
As an Instrument Data Analyst within Reference Data Operations team, you will manage data quality and exceptions for reference data, working with a team of data analysts. You will work closely with professionals across data operations and other cross functional teams. Also, you will ensure a robust control framework and effective global operating model are being used to service the Asia Pacific businesses. You should be able to provide strategic initiatives on improving reference data operations and contribute to the success of the organization.
Job responsibilities:
Support instrument reference data and ensure consistent delivery of quality data in a timely fashion
Manage corporate action events handling with regards to instrument reference data across all asset classes, understand the impact of market events on the instrument static data and the related corporate action events triggering out of it
Provide subject matter expertise support to downstream teams and clients
Ensure proper controls are in place to reduce financial risks, implement procedures to enforce controls and ensure controls are adhered to
Partner and collaborate with other regions is required
Resolve client queries promptly and professionally
Contribute to ongoing developments and refinements of our operational processes
Required qualifications, capabilities and skills:
At least a Bachelor's degree in Finance, Science, Technology or equivalent
Open to fresh graduates
Strong market data vendor knowledge and experience, i.e. Bloomberg, Refinitiv
Knowledge of industry activities, corporate actions, index tracking and capital markets
Inquisitive and analytical mindset, challenges the status quo, strive for excellence, while paying attention to risk involved
Ability to work independently and multi-task in a fast paced environment
Demonstrate ability to communicate effectively within a team and across departments
Strong analytical and problem solving skills with attention to details to formulate effective solutions to address pain points and improve efficiency
As the team covers the Asia Pacific region, staggered shift work and working on public holidays is required
Preferred qualifications, capabilities and skills:
Ability to analyze, mine and query data to formulate solutions and efficiencies is preferred
Prior experience in Financial Services industry will be beneficial
Experience in digital tools like Alteryx, JIRA, and/or Confluence will be preferred
Good understanding of data management principles for financial services - governance, quality, storage, modelling
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
#J-18808-Ljbffr

Responsibilities:

• Data Operations & Governance: Own the accuracy, reliability, and structure of product and user-event data through robust governance practices; Define and enforce standards for event tracking, data schemas, and documentation across teams; Conduct regular audits, validation checks, and coordinate instrumentation changes with engineering and product teams.
• Data Pipeline Development & Maintenance: Build and maintain scalable, observable data pipelines using tools like dbt, Airflow, or similar frameworks; Monitor pipeline health, implement alerting systems, and resolve data issues with root cause analysis; Optimize pipeline performance and ensure high availability of core datasets for analytics and reporting.
• Internal Tooling & Automation: Develop and maintain internal data tools, utilities, and dashboards using SQL, Python, and lightweight web technologies; Automate workflows to reduce manual reporting and improve operational efficiency for data stakeholders; Create reusable data models that support fast iteration and confident self-service analysis.
• Competitive Intelligence & Data Collection: Operate and enhance data scraping workflows to collect structured information on competitors, pricing, and market trends; Ensure scraping systems are stable, maintainable, and compliant with data privacy and ethical standards.

• Engineering Foundation: Strong SQL and working proficiency in Python or JavaScript for building and maintaining data infrastructure; Experience with modern data engineering tools (e.g., dbt, Airflow, Fivetran, Dagster); Familiarity with version control (Git), code modularization, and documentation practices.
• Data Quality & Governance Experience: Track record designing or maintaining data governance practices in product analytics environments (e.g., Segment, GA4, Mixpanel); Comfortable building QA checks, anomaly detection, and data validation processes; Familiarity with data governance education and data governance related stakeholder management
• Operational Mindset: Comfortable being on point for data issues, debugging pipeline failures, and ensuring continuity in reporting and dashboards; Ability to set up alerting/logging mechanisms to proactively detect and respond to data problems
• Collaboration & Communication: Strong written and verbal communication skills to align with product, engineering, and business teams; Able to translate business questions into engineering requirements and technical work into stakeholder-friendly language.
• Preferred Qualifications: Prior experience / knowledge on data science / machine learning; Prior experience on hands-on data engineering; Understanding of data operation & governance in analytics workflows; Experience supporting data for experimentation or A/B testing pipelines.