762 Senior Data Analyst jobs in Singapore

Bank of Singapore opens doors to new opportunities.

At Bank of Singapore, we are constantly on the lookout for exceptional individuals to join our team. We promote a culture of openness, teamwork and fairness. Most importantly, we invest in our people through our programmes that develop them on both professional and personal levels. Besides attractive remuneration packages, we offer non-financial benefits and opportunities to develop your potential within OCBC Group's global network of subsidiaries and offices. If you have passion, drive and the will to succeed, rise to the challenge today

About the Role

We are seeking a highly motivated, detail-oriented and creative Data Visualization Analyst to transform complex data sets into compelling visual stories. You will be a part of the Front Office Change Enablement team, working closely with data scientists, business analysts, and stakeholders to design dashboards, reports, and visualizations that drive data-driven decision-making in area of business performance, client management, and regulatory change analysis for front office.

Key Responsibilities

• Understand front office business management requirements and translate them into effective visual solutions.
• Design and develop interactive dashboards and visual reports using tools like Power BI and Tableau, that provide storylines and actionable insights

• Support the review and harmonization of dashboard standards across the Business Management team.

• Implement visualization standards to ensure consistency and usability.

• Collaborate with cross-functional teams to identify key metrics and KPIs

• Ensure data accuracy and integrity in all visual outputs, working with Data Hub to source for data needs.
• Stay updated with best practices in data visualization and UI/UX design.

• Contribute to training materials and workshops to promote data visualization literacy across the Business Management team.

• Bachelor's degree in Business Analytics, Data Science, Computer Science, Information Systems, or a related field.

• Strong analytical and problem-solving skills.
• Proficiency in Python for data manipulation, analysis, and visualization.
• Familiarity with data visualization tools (e.g., Power BI).
• Basic understanding of data structures, databases, and querying languages (e.g., SQL).
• Background in UX/UI design principles is a plus.
• Excellent communication and collaboration skills.

We at APAC Entrepreneur are looking for a Data Analyst to join our Marketing Team, with the primary role of researching and identifying ways to build our brand while analyzing consumer behavior and exploring market trends and opportunities.

For More Job Updates, Please Follow Our LinkedIn Page
(APAC Entrepreneur)

Job Responsibilities:

• Collect, organize, and process large datasets from various sources
• Develop and maintain data pipelines and databases
• Perform statistical analyses, create and automate data visualizations to support business decisions
• Work with cross-functional teams to identify data needs and provide insights
• Develop and implement data quality checks and ensure the accuracy of data
• Continuously improve and optimize data systems and infrastructure
• Collaborate with product teams to build microservices and products
• Create and maintain reports and dashboards for business intelligence
• Generate insights and provide recommendations to drive business decisions
• Stay current with industry trends and new technologies related to data analysis, engineering, and product development
• The person should have been in leadership role but can still drive the projects as an individual contributor
• Can think both tech and business to work as a bridge between tech and investment teams (should process the data pipeline and be able to extract business insights from it to discuss with the leadership)

For More Updates Follow Our LinkedIn Page (The HealthCare Insights )

Department: Data Analyst

Role: Data Science & Analytics - Other

Department: Data Science & Analytics

Employment Type: Remote Job

Experience: Freshers also can apply

Location: Singapore

Education : UG & PG: Any Graduate

Company Description:

APAC Entrepreneur is a publication that acts as a catalyst for bringing positive change in the healthcare sector. A trusted source of insights for healthcare practitioners and advisors, our mission is to bridge the gap between healthcare and health tech by encouraging collaboration, fostering innovation, and building a community.

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