182 Data Research jobs in Singapore
Data Research Analyst
Posted today
Job Viewed
Job Description
Role Description
This is a full-time remote role for a Data Research Analyst. The Data Research Analyst will be responsible for conducting data research and market research, analyzing data, and presenting findings. The role includes performing data analytics to identify trends and insights, compiling reports, and collaborating with the team to support data-driven decision-making processes. The analyst will also be involved in communication with various stakeholders to gather data requirements and report findings.
Qualifications
- Skills in Data Research and Market Research
- Strong Analytical Skills and Data Analytics capabilities
- Excellent communication skills
- Proficiency in data analysis tools and software
- Ability to work independently and remotely
- Bachelor's degree in Statistics, Mathematics, Economics, or related field
- Experience in the talent agency or entertainment industry is a plus
Senior / Executive, Data & Research
Posted today
Job Viewed
Job Description
Get AI-powered advice on this job and more exclusive features.
The Senior / Executive, Data & Research plays a crucial role in assisting with the formulation, implementation, and management of strategic initiatives within the organisation. This position involves supporting the SPCD Managers in conducting research, analysing data, and contributing to the development of strategies to achieve organisational goals.
Overview
The Senior / Executive, Data & Research supports strategic planning and data-driven decision making by conducting research, analysing industry data, and contributing to actionable insights for organisational goals.
Responsibilities
Conduct research and analysis on industry trends, competitive landscapes, and market opportunities to inform strategic decision-making and identify potential market shifts.
Analyse historical and real-time market data to assess the effectiveness of key brands and the impact of relevant campaigns.
Contribute to the reporting of industry-monitoring studies and the identification of new trends in media and technology.
Compile, track, analyse, and report on key indicators from both internal databases and external data sources for monthly reports.
Manage datasets to ensure data accuracy and reliability, providing timely feedback to stakeholders to rectify any data discrepancies as needed.
Collaborate with cross-functional and cross-departmental teams to maintain databases related to data analytics, survey and performance metrics.
Engage vendors to conduct surveys and polls that support the organisation’s strategic objectives.
Generate reports, dashboards, and visualisations to communicate key insights and track Key Performance Indicators, presenting findings clearly to support data-driven decision making.
Liaise with vendors and manage training sessions for staff on data analytics tools and their applications, supporting inter-departmental communications and facilitating data-sharing initiatives.
Assist in the preparation of presentations, reports, and communications for internal and external stakeholders.
Foster open communication channels with cross-functional teams and departments.
Support the team in additional projects as assigned, including initiatives relating to strategic planning and corporate development.
Perform any other duties as and when reasonably assigned by the Management.
Requirements
Economics, business, communications/media studies or any other relevant undergraduate or post-graduate degrees.
Preferably some internship or working experience in a research or consulting role, preferably in the media and entertainment-related industry.
Possess strong analytical skills, strategic acumen and curiosity in industry trends and developments.
Passionate and evidence-driven individuals with an open mind for a wide range of perspectives and thinking styles.
Independent, self-motivated, resilient, resourceful, a good team player and ability to multi-task.
Strong in Microsoft Excel, PowerPoint, Word and any other relevant analytics software.
Excellent written and oral communications and interpersonal skills.
Knowledge of data analytics and visualization skills will be favourably considered.
Interest in experimenting and leveraging AI and digital tools in daily work
Details
Seniority level: Executive
Employment type: Contract
Job function: Art/Creative, Strategy/Planning, and Other
Industries: Broadcast Media Production and Distribution; Technology, Information and Media
#J-18808-Ljbffr
International Sector Analyst, MI-Data Research
Posted today
Job Viewed
Job Description
Market Intelligence International Sector Analyst, Proprietary Research
ABOUT PROPRIETARY RESEARCH
On our proprietary research team—Market Intelligence—you'll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You'll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.
ROLE SUMMARY
As a Market Intelligence International Sector Analyst, you will provide industry context and business fundamentals to our team of data scientists and engineers and deliver synthesized insights to our investment professionals as you partner with them on their research needs. The work is ever evolving, affording opportunities to tackle new challenges alongside research teammates from diverse backgrounds. Specifically, you will gain exposure and knowledge to:
Develop subject-matter expertise on the key themes and KPIs that drive the industries and companies in your coverage
Compose research reports that synthesize research findings on behalf of our investment professionals
Interact directly with our investment professionals, learning the discretionary investment process from them and helping drive more informed investment decisions
Collaborate with our global proprietary research teams to source and extract the most value out of new and existing data assets
WHAT EXCITES YOU
Staying current on the industry trends impacting businesses around the world
Gaining deep expertise in industries, business models, and supply chains
Synthesizing clear takeaways from complex information derived from both qualitative and quantitative methods
Understanding the use of alternative data market and its role in discretionary investing
Multi-tasking and switching gears frequently to address the needs of the business
Taking an experiment-based research approach with freedom to innovate
Working as part of a cross-functional team made up of Investment, Research, and Compliance professionals
WHAT EXCITES US
Superb business intuition and a solution orientated, methodological approach to problem solving
Ability to collaborate with and build strong client relationships
Intellectual curiosity and an eagerness to find out if your conclusions are right or wrong
People who "elevate the room" through their work ethic, curiosity, and solution orientated attitude
WHAT'S REQUIRED
We're looking for someone with a thorough understanding and appreciation for the research process, who values collaboration and challenging work. Specifically, you will need:
An understanding of, or passion for, navigating equity markets
2-5 years of equity/investment research experience, or experience leveraging data analysis as part of fundamental research process for business, public policy, finance, engineering, applied sciences, or other quantitative fields
Excellent attention to detail, organization, and project management skills
Elevated business intuition and an innate ability to structure ambiguous problems and take action to solve them
Strong verbal and written communication
Ability to work in a fast-paced environment
Adherence to the highest ethical standards working closely with the firm's Compliance team
Proficiency with technical coding/programming (SQL, Python)
Data Researcher / Research Analyst
Posted 1 day ago
Job Viewed
Job Description
Clarksons Research is a leading provider of market intelligence and research to the global maritime transport, offshore and energy industries, with presences in London, Shanghai and Singapore. We are part of the Clarksons Group, which is the world’s leading provider of integrated shipping services and a FTSE 250 company. Further information about the group can be found here:
Job Description
Clarksons Research is recruiting for a permanent position in our growing research team based in Singapore. The successful candidate will have the exciting opportunity to join a fast-expanding business that offers excellent opportunities for career progression. Primary responsibilities of the role include:
- Conducting quantitative and qualitative research on the maritime and offshore industry, and other related information streams, with a focus on the offshore energy sector.
- Developing and adding value to our proprietary databases, working to improve the robustness of key data products and internal processes.
- Managing data enquiries and related output in an accurate and timely manner for clients and internal stakeholders.
- Contributing and assisting in data projects, synthesising research findings to support key data products, market reports and bespoke client projects.
- Building analytical expertise and technical skills through learning and development opportunities, with a view to developing the capability to take on increased responsibility.
Candidate Requirements
- Fresh graduates with a degree in Business, Economics, Maritime, or related disciplines in a numerate or analytical field are preferred. Candidates with 1-2 years’ experience in similar roles through internships or previous full-time employment will also be considered.
- Commercial awareness of the offshore energy and maritime sectors is beneficial.
- Proficiency in Microsoft Office Suite, with an advanced knowledge of standard software applications used for data storage, analysis and publishing. This includes Microsoft Access, Excel and PowerPoint.
- Exceptional literacy and analytical skill, with the ability to analyse and present information in a clear and coherent manner.
- Excellent communication skills, both written and verbal (English), with additional knowledge of second Asian language being an advantage.
- Excellent organisational skills and a high level of attention to detail.
How to Apply
If you would like to apply for this position, please send your resume and covering letter to
Please quote Reference Number CRSL/RES/FRA2510R on all
correspondence.
Application Close date: 24th November 2025
Senior/Statistical Specialist, Analysis, MSRD
Posted today
Job Viewed
Job Description
Ministry of Manpower
Contract
Closing on 15 Sep 2025
What the role is
The candidate will join the Analysis team of the Manpower Research & Statistics Department, which is responsible for in-depth statistical research & analysis supporting MOM's strategic outcomes. The team provides objective and rigorous assessment of the current state and trends in the labour market with a view to facilitate informed decision-making within the government and the community-at-large.
• Write reports and/or articles on analysis of local and international labour market data and trends
• Initiate studies or surveys to measure emerging trends and identify wider implications and/or gaps in the labour market from the analysis produced
• Provide advisory on the data and statistical techniques used in modelling
• Keep abreast of latest labour market movements, and to propose new ideas of presenting such analysis
What you will be working on
• Write reports and/or articles on analysis of local and international labour market data and trends
• Initiate studies or surveys to measure emerging trends and identify wider implications and/or gaps in the labour market from the analysis produced
• Provide advisory on the data and statistical techniques used in modelling
• Keep abreast of latest labour market movements, and to propose new ideas of presenting such analysis
What we are looking for
• Preferably with background in Statistics, Economics, Business or Communication studies
• At least 2 years of working experience in statistical, business, financial, or economic research
• Strong analytical and quantitative skills
• Excellent written and verbal communication skills
• Working knowledge of statistical programming language (like SAS,R or STATA), data visualisation tools (like Tableau or PowerBI) and econometric modelling will be an advantage
About Ministry of Manpower
Championing Human Potential for a Thriving Singapore
Singaporeans are at the heart of what we do. The Ministry of Manpower (MOM) empowers our people and fosters a thriving, inclusive workforce that drives Singapore's growth and prosperity. By working closely with our tripartite partners, industry and community stakeholders, we strive to create workforce and workplace policies that foster resilience, adaptability, and a bright future for a thriving Singapore.
As an MOM officer, you will be part of this meaningful mission, contributing across diverse and impactful areas - from shaping forward-looking and effective manpower policies and strengthening industrial relations, to enhancing workplace safety standards and ensuring balanced local and foreign workforce regulations. Here at MOM, we are committed to creating an inclusive experience not just for our national workforce, but also for our officers who work tirelessly to champion human potential for a thriving Singapore.
About your application process
This job is closing on 15 Sep 2025.
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Ministry of Manpower or the wider Public Service.
Research Data Analyst
Posted today
Job Viewed
Job Description
Overview
Join to apply for the
Research Data Analyst
role at
Binance . Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Responsibilities
Working across all aspects of data from engineering to building sophisticated visualizations, machine learning models and experiments
Producing institutional grade data insights reports on macro trends as well as sector trends, including but not limited to DeFi, NFT, Gaming, Metaverse, L1/L2 and Middleware etc, for both internal and external clients
Analyze and interpret large volumes of on-chain transactional and operational data (both EVM and non-EVM) using proprietary and open source data tools, platforms and analytical tool kits
Processing confidential data and information according to guidelines
Managing and designing the reporting environment, including data sources, security, and metadata
Troubleshooting the reporting database environment and reports
Qualifications
Have a strong passion for Web3 data and have knowledge of different crypto sectors and familiar with the top players' mechanism of each sector
Strong critical thinking and analytical skills
3+ year experience; Bachelor’s degree from an accredited university or college in Computer Science or Math or Statistics
Proficient in data engineering, modeling and ETL - preferred experience with data sourcing and working with APIs
Experience with data querying using languages such as SQL, GraphQL and Python
Experience in using tools such as Dune analytics, Flipside, Nansen, etc
Understand project smart contracts and have good knowledge of the Web3 infrastructure landscape
Understand addressing and metadata standards for multiple public chains
Why Binance
Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries: Technology, Information and Internet
Referrals increase your chances of interviewing at Binance by 2x
#J-18808-Ljbffr
Public Data and Research Specialist
Posted 9 days ago
Job Viewed
Job Description
Public Data and Research Specialist
Location: Central, Novena
Contract Period: Yearly renewable based on performance and business needs
Job Responsibilities:
- Become a specialist in project content, objectives, and deliverables.
- Offer comprehensive support to designated participants, ensuring timely and accurate information gathering.
- Develop a deep understanding of participant's business operations and procedures to facilitate effective information gathering.
- Build strong relationships by addressing participant concerns and challenges.
- Gather information through outbound calls, email exchanges, and on-site visits.
- Maintain consistent communication with participants and stay informed about new contacts.
- Accurately compile, record, and input information into the system, including thorough case documentation.
- Implement strategies and initiatives to improve participation rates.
- Generate monthly progress reports on completion status and service level achievements for reporting officers.
- Provide information analysis and progress predictions to management and stakeholders.
- Assist in investigating escalated issues when required.
- Perform other duties as assigned.
Job Requirements:
- Degree in a relevant field.
- Experience managing large employee-based accounts is a plus.
- Proficiency in MS Word and Excel for reporting and progress tracking.
- Strong verbal communication skills are essential for daily tasks.
- Ability to communicate effectively and manage interactions across different organizational levels, both internally and externally.
- Detail-oriented and thorough in task execution.
- Successful completion of a training course and assessments is required before operational deployment.
- Singaporeans only.
By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO’s Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R ) EA Licence No. 01C4394
Be The First To Know
About the latest Data research Jobs in Singapore !
Business Data Mining
Posted today
Job Viewed
Job Description
We are hiring a Business Data Mining Analyst to join our team to support a project we have with a leading global digital banking and payment services company.
This is a contract role that blends data analysis, data mining, and business reporting. We are looking for someone with 2–3 years of experience in a similar role, preferably within financial services, and with exposure to marketing or customer analytics.
You will work with internal teams to manage acceptance data across APAC, validate information using tools such as Salesforce, Tableau, and Excel, and deliver actionable insights to support both marketing and business stakeholders.
This is a great opportunity to work with a globally recognised brand on regional, data-driven marketing initiatives.
To apply, please send us your updated CV. Only shortlisted candidates will be contacted.
Data Scientist, SFI Research
Posted today
Job Viewed
Job Description
WHO WE ARE
The Data Science & Natural Language Processing (NLP) team sits within the Sustainable Finance and Investment (SFI) group. Our mission is to research and develop pioneering models that address some of the most complex challenges in Sustainable Finance. By combining deep expertise in data science, artificial intelligence, and product development with the subject matter knowledge of the wider SFI group, we deliver innovative, data-driven solutions that empower our customers to make more informed decisions. Our work spans a wide range of domains, including public companies, private equities, and sovereign entities.
ABOUT THE ROLE
We are seeking a Senior Data Scientist to drive the research and development of advanced data science solutions and intellectual property (IP) that address SFI challenges. The role requires a blend of strong technical expertise, knowledge of Environmental, Social, and Governance (ESG) frameworks, project management, and collaborator engagement. You will play a key role in shaping methodologies, developing production-grade solutions, and ensuring successful integration into our platforms.
KEY RESPONSIBILITIES
IP & Methodology Research and Development (R&D)
- Research, design and build advanced data science solutions to address ESG-related challenges (e.g., company carbon emissions estimations, ESG data extraction from company filings).
- Collaborate with engineering and operations teams to deploy robust and scalable models, pipelines, and user interfaces.
- Maintain and enhance existing methodologies and codebases to add new features and improve quality.
- Stay on top of the latest R&D in data science, NLP, competitor offerings, and sustainable finance.
- Advise internal and external partners on knowledge of SFI models as a Subject Matter Expert (SME).
Data Analysis and Integration
- Identify and assess data sources, as well as develop data queries needed by projects.
- Analyze data and identify patterns to ensure practical, customer focused and production-ready designs.
- Integrate internal and external data sources into end-to-end pipelines for solution development.
Project Management & Collaborator Engagement
- Collaborate with cross-functional team members across research, engineering and operations to drive successful project outcomes.
- Provide technical leadership in project planning, deliverable scoping and solution architecture.
- Proactively identify potential risks and issues, and engaging collaborators to develop and implement mitigation strategies.
- Effectively communicate complex analyses and insights to both technical and non-technical audiences through clear reports, visualizations and presentations.
REQUIREMENTS
- Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum 5 years' working experience as a Data Scientist or similar roles, with emphasis on machine learning, NLP or advanced analytics.
- Strong coding skills with track record of delivering data science solutions in commercial products or platform.
- Bonus: Research experience in machine learning, NLP or ESG.
- Bonus: Work experience in financial industry or ESG-related projects.
SKILLS
- Advanced Python: data analysis (pandas/polars), data query (SQL, APIs), modular programming, performance optimization, etc.
- Core Expertise: statistics, machine learning, model evaluation, and classical NLP techniques.
- Documentation & Presentation: ability to produce clear, structured technical and non-technical materials.
- Collaboration Tools: Git, containerization (Docker) and cloud platforms (AWS, Azure)
- LLM Fundamentals: understanding of use cases, cost structures, human-in-the-loop workflows, and RAG.
Bonus:
Experience in developing LLM-based solutions for commercial products or platforms.
- Experience with building interactive user interfaces (e.g., Gadio, Streamlit, Dash)
- Experience with model monitoring tools (e.g., MLflow, Weights & Biases)
Soft Skills
- Communication: Excellent writing and verbal communication skills, especially for explaining complex concepts to non-technical collaborators.
- Research & Project Planning: Skilled at setting research directions, driving project planning, defining milestones, and aligning with collaborators to ensure timely delivery.
- Multitasking: Able to manage multiple priorities and deliver results in a fast-paced environment.
- Problem Solving: Strong research and analytical skills in developing innovative and practical solutions.
WHAT WE CAN OFFER
- Flexible working arrangements
- Exposure to international teams
- Training and opportunities to grow within the company
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this
privacy notice
carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained,
your rights and how to contact us as a data subject
.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
Senior Research Data Curator
Posted today
Job Viewed
Job Description
COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
- Strategic Data Stacks Initiative
- Lead coordination with internal stakeholders (researchers, SMU offices such as IT teams) and external partners (data owners, government agencies) to establish and maintain a data catalogue aligned with SMU's strategic research areas.
- Drive adoption of the enTRUST platform by designing and delivering training for faculty to effectively explore and navigate SMU data resources.
- Oversee onboarding and researcher engagement with enTRUST tools (e.g. Amazon Workspaces, SageMaker Studio, JupyterLab), ensuring a seamless user experience.
- Develop institutional training frameworks and guidance on data anonymization and data linking workflows, promoting responsible and ethical use of data.
- Produce and maintain user guides, training materials, and FAQs that build sustainable capacity in the use of the data catalogue and secure analysis environments.
- Co-creation of role with reporting manager
- Research Data Management Responsibilities
- Lead the implementation and continuous refinement of SMU's revised RDM policy and institutional guidelines.
- Develop and deliver training, guidance, and templates to strengthen researchers' ability to prepare effective Data Management Plans (DMPs).
- Facilitate and promote the systematic deposit of research data into the SMU Research Data Repository and other approved storage solutions, ensuring compliance with institutional and funder requirements.
- Collaborate with internal departments and stakeholders to design and enhance workflows, SOPs, and best practices that embed robust RDM across the research lifecycle.
- Any other duties as assigned.
QUALIFICATIONS
- Bachelor's or Master's degree in Information Science, Data Science or any discipline with strong data focus is preferred
- At least 6 to 10 years of relevant professional experience, preferably experience at a strategic or institutional level.
- Experience working in academic or research environments is required.
- Proven ability to coordinate and communicate effectively across university departments (e.g., PVO, IITS) and with external stakeholders.
- Excellent organizational skills and attention to detail, including ability to track requests, manage workflows, and ensure timely delivery.
- Experience handling large or complex datasets, such as longitudinal panel data.
- Proficiency in at least one programming or scripting language (e.g., Python, R, or SQL).
- Familiarity with data privacy, anonymization techniques, and data governance principles.
- Knowledge of research data management (RDM) best practices.
- Familiarity with data analysis workflows and foundational AI/ML concepts (e.g., LLMs, supervised learning) to support researchers working in secure environments.
OTHER INFORMATION
LI-XL1Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University