6,395 Senior Analyst jobs in Singapore

About Us

At LiquidX we invest in the greatest NFT projects, helping founders to deliver the highest utilities to their communities, backing the projects' success with strong financials and the right team.

We are based in Singapore and Malaysia with many of our team collaborating remotely from countries like New Zealand, Indonesia, and Brazil. Having recently raised a large amount in funding, we aim to create long term value for NFT holders, by building unique gaming and community experiences, combining superior graphics and storylines with top notch blockchain technologies.

The Challenges

This position plays a key role in transforming the data collected from web3 spaces to pleasing visualizations which will be communicated to our key stakeholders.

What You Can Expect To Work On

• Collect and analyze large sets of data from web3 platforms and protocols
• Use statistical methods and machine learning techniques to uncover insights and trends
• Develop and maintain databases and data pipelines to ensure data accuracy and integrity
• Create visualizations and reports to communicate findings to stakeholders
• Collaborate with cross-functional teams to support decision-making and strategy development
• Stay up-to-date on the latest web3 technologies and trends to inform data analysis and strategy

• Education. Bachelor's degree in a related field such as computer science, statistics, or mathematics
• Experience. 3+ years of experience in data analysis, with a focus on web3 technologies
• Strong understanding of blockchain and decentralized systems
• Familiarity with main Web3 data analytics tools and platforms in the space
• Proficient in programming languages such as SQL and Python
• Experience with data visualization tools such as Tableau or Power BI
• Excellent problem-solving and analytical skills
• Strong communication and presentation skills

Benefits and Why You'll Love Working With Us

• We Listen. Your voice, ideas, and suggestions matters to us, as we continuously evolving
• Our People. You'll be working with a diverse, multicultural, international, talented, fun, supportive, and innovative people and team. We are people you can be proud to work with
• On The Edge of Innovation. Working on the latest technological, social and financial trends that is web3 and blockchain
• Flat Organisation. our team is a community, we work together as a team from all levels in true decentralised spirit

Job Responsibilities

1. Data Management and Analysis: Collect, sanitize, monitor, and analyze data from bus and rail AFC devices, identifying trends and detecting anomalies.

1. Data Interpretation and Reporting: Apply statistical techniques to analyze data, provide ongoing reports, and visualize insights to inform business decisions.

2. Complex Data Analysis: Identify, analyze, and interpret trends and patterns in complex data sets to inform predictive maintenance and system optimization.

3. Data Visualization and Communication: Present findings in a clear and concise manner, translating complex data insights into actionable recommendations.

4. Collaboration and Prioritization: Work with management to prioritize business needs, develop strategies for process improvement, and identify opportunities for optimization.

5. Process Improvement: Continuously seek out new opportunities for process improvement, leveraging data-driven insights to drive business outcomes.

Requirements

Technical Requirements:

1. Data Modeling and Analysis: Expertise in data models, data mining, clustering, and segmentation techniques.

2. Technical Skills:

3. Proficiency in reporting packages (e.g., Cognos) and databases (e.g., SQL).
4. Programming skills in Python and experience with ETL frameworks.
5. Familiarity with Python libraries (Pandas, NumPy, Scikit-learn, Python Dash, StreamLit).
6. Good understanding of cloud concepts and cloud deployments
7. Familiarity with automation tools (e.g. power automate, N8N etc.)

8. Frontend Development: Creating the client-side of applications, focusing on layout, design, and user experience.

9. Data Visualization: Expertise in creating dashboards in Tableau and PowerBI, with hands-on experience in Tableau Server (publishing workbooks, administration settings).

10. Additional Skills:

11. Knowledge of Java is a plus
12. Concepts and appliation of LLM & GenAI

Experience and Education:

1. Experience: 2-3 years of relevant experience as a Full Stack Developer, Data Analyst or Business Data Analyst. Fresh graduates with relevant expertise and interest will also be considered.

2. Education: Degree in Computer Science, Electrical/Electronic Engineering, Information Management, Statistics, or a related field.

Job Scope

• Lead the development and implementation of comprehensive data analytics strategies

• Design and maintain automated data pipelines and ETL processes

• Clean, preprocess, and validate data to ensure accuracy, consistency, and completeness

• Apply advanced statistical techniques and data mining methods to explore large healthcare datasets

• Create and manage interactive dashboards and analytical tools with focus on intuitive visualisation for non-technical audiences

• Provide advanced analytics support for clinical research and quality improvement initiatives

• Develop predictive models and implement machine learning solutions including LLMs

• Partner with clinical teams to integrate PROMs into care workflows

• Collaborate with GTO and AIO for enhanced data visibility and accessibility

• Design and implement LLM-powered solutions for care pathway optimization

• Monitor data integrity through systematic validation processes

• Identify and analyze meaningful patterns, trends, and correlations in healthcare data

• Develop and implement data quality checks and validation processes

• Prepare and deliver clear and concise reports and presentations to stakeholders

• Ensure data visualisations are intuitive and accessible for non-technical audiences

• Collaborate with teams across the organisation to understand their data needs

Requirement

• Bachelor's Degree in Data Science / Statistics or equivalent
• Minimum 4 years of experience

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.

JobStudio Pte Ltd

EA License No: 10C4754

EA Personnel: Pearly Poh

EA Personnel Reg No: R

About the role

This role offers hands-on exposure to analytics in the Real Estate sector and is ideal for someone who is curious about data. You will gain valuable insight into how data is used across all parts of the business to inform strategy, drive growth, and deliver better outcomes. This is an excellent opportunity for someone seeking a career in Data Analytics and to understand the impact of data-driven decision on business success.

What you'll do

• Support the Analytics Director and Manager with their daily analytics tasks and ongoing projects
• Assist in data validation and maintaining dashboards and analytics reports (e.g., using Power BI or Excel)
• Support ETL tasks to ensure high data quality
• Helps automate basic reporting workflows with guidance
• Learn to integrate data from multiple sources (ie. Using PowerQuery, Snowflake, Python, and other tools)

What you'll need

• Degree in a relevant field (e.g., Data Analytics, Business, Statistics, Computer Science, or related)
• 0-3+ years of experience. Fresh graduates will be considered
• Strong interest in data analytics and willingness to learn new tools and techniques
• Familiarity with Excel; exposure to Power BI, SQL, Python, Snowflake is a plus but not required

Please note that shortlisted candidates will be required to complete a screening test onsite to help us understand your current level of competency and identify areas where you can further develop your skills during your time with us.

Why CBRE

When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.

Applicant AI Use Disclosure

We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.

Role Overview:

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products) , and the ability to communicate findings in a clear, business-oriented manner.

Responsibilities:

• Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
• Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
• Work with stakeholders to identify business needs and translate them into data-driven solutions.
• Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
• Ensure compliance with data governance, quality, and regulatory reporting standards.
• Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

Requirements:

• Bachelor's degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
• Minimum 2–5 years of experience as a Data Analyst, ideally within banking or financial services.
• Familiarity with statistical analysis tools (Python, R) preferred.
• Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
• Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills to translate technical data into business insights.
• Preferred Attributes
• Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
• Exposure to machine learning techniques for credit/risk scoring or client segmentation.
• Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
• Ability to work in cross-functional teams within a fast-paced banking environment.

*Responsibilities:*

1. Take over and transition data profiling activities from another vendor.

2. Conduct and refine data discovery and profiling processes.

3. Review, update, and maintain data mapping, standardization, and transformation rules.

4. Identify, escalate, and resolve critical data issues.

5. Maintain checklist versions and mapping documentation.

6. Collaborate with IT to prepare test cases for mock migrations and dress rehearsals.

7. Support data reconciliation and validation post data load.

8. Design and develop dashboards to track the health of the data migration project.

9. Provide expert advice on understanding and utilizing critical data.

10. Build UI-based dashboards to ensure data is easily interpretable by stakeholders.

*Requirements:*

1. Bachelor's degree in any field.

2. Min. 3 years of experience in IT Service Management (ITSM), Data Analyst and Business Requirement gathering and definition.

3. Min. 1 year of experience in the banking industry.

4. Strong documentation skills (PowerPoint, Excel, Word).

5. Good understanding of ITSM frameworks such as ITIL.

6. Strong communication and client engagement skills.

We're Hiring: Data Analyst | Based in Singapore

Location:
Singapore (On-site)

Employment Type:
Full-time

Level:
Mid-Level

Are you passionate about data and making data-driven decisions? We are seeking a talented
Data Analyst
to join our team in
Singapore
. In this role, you will work closely with business teams to collect, analyze, and interpret data to help guide strategic decisions and improve operational processes. If you're looking to contribute valuable insights that drive business growth, we'd love to have you on board

Key Responsibilities:

• Gather, process, and analyze data from various sources to support business decision-making
• Develop and maintain reports, dashboards, and data visualizations for stakeholders
• Perform data mining, statistical analysis, and trend forecasting to identify key business insights
• Collaborate with business units to understand their data needs and provide actionable recommendations
• Assist in creating and refining business models and predictive analysis tools
• Design, implement, and optimize data collection and reporting processes
• Work with large datasets and ensure data integrity and consistency across systems
• Monitor key performance indicators (KPIs) and report on business performance regularly
• Conduct ad-hoc analyses to support special projects or urgent business requirements

Requirements:

• A degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
• Proven experience in data analysis, with the ability to interpret complex data and provide actionable insights
• Strong proficiency in Microsoft Excel (advanced functions, pivot tables) or Google Sheets
• Familiarity with data visualization tools like Tableau, Power BI, or Google Data Studio
• Experience with SQL or other querying languages to extract data from relational databases
• Knowledge of statistical analysis and data modeling techniques
• Strong problem-solving skills and the ability to work independently or in a team
• Attention to detail and the ability to manage multiple projects simultaneously
• Excellent communication skills to present findings to both technical and non-technical stakeholders
• Must have the legal right to work in Singapore

What We Offer:

• Competitive salary and performance-based bonuses
• Opportunities for professional development, including training and certifications
• A collaborative and dynamic work environment with exposure to diverse business challenges
• Flexible working arrangements to support work-life balance
• Health and wellness benefits, including medical coverage and paid time off

Our client is a government agency dedicated to fostering social cohesion, promoting cultural development, and supporting community engagement across the nation.

The Opportunity

• Work with Government Agency
• Monday - Friday: 8.30am - 6pm
• Working location: Clarke Quay
• 3 months contract (can renew/convert)
• Basic: up to $3910

The Talent

• Degree holder in a relevant field
• Proficiency in Microsoft Excel
• Programming experience in Python, SQL, and working with databases
• Experience in data processing and automation

Job Description

• Gather and analyse requirements from business users
• Develop automation solutions using Python and SQL
• Build efficient batch processing systems for data handling
• Maintain clear and updated documentation for all solutions
• Support ad-hoc data analysis and reporting requests

Next Step

Prepare your updated resume, send to the following email or Apply here:

Patricia Chong

EA License No: 91C2918

Personnel Registration Number: R

Responsibilities

About the team: The Global Payment team is building a platform to provide cross-border payment solutions for all ByteDance's products and services, that are growing rapidly worldwide. The Data Intelligence team in Global Payments leads the efforts of discovering data-driven business values for Global Payments, by collecting, visualising and mining generated data from the pipeline of whole Global Payments system. The outcomes include optimising the key business metrics, improving Global Payments products and user experiences, risk management through data intelligence, predicting the trends from historical data, etc. We are looking for talented individuals to join the Data Analyst team for a contract position based in Singapore. The contract can last up to 2 years, with the opportunity to be converted along the way. Responsibilities: 1. Responsible for supporting analysis requirements for Global Payments, such as ad-hoc analysis report, dashboards building, data tracking design, etc; 2. Use data-driven techniques to find weaknesses in payment products and implement improvements proactively; 3. Build data products to provide our customers with data insights and best practices in the Payments domain; 4. Cooperate with Products and Operation teams to define system requirements, build data products, improve and roll-out product features to support business.

Qualifications

Minimum Qualifications: 1. Bachelor degree or above in Computer Science, Statistics, Mathematics or other related majors; 2. Proficient in SQL, familiar with C +/Java/Golang is preferred; 3. Proficient in big data platforms such as Hive/ Spark; 4. Strong data analysis capabilities; 5. Experience in supporting and optimising business needs with data analysis Preferred Qualifications: - At least 2 years of experiences and above; - Background in internet companies or payments is preferred; - Strong interest in Data Analysis, Data Mining is preferred; Important Note: Please be advised that this job posting is on behalf of a third-party agency. This is a 12-month temporary assignment managed by a third-party agency, who will be your employer. While you may be assigned to work at ByteDance, you will not be a ByteDance employee. All contractual terms, including payroll and benefits, will be handled by the third-party agency. By applying, you agree that the information provided in your application may be processed and retained by ByteDance for recruitment purposes and shared with the third-party agency in accordance with ByteDance's Applicant Privacy Notice

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.