379 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.

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

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.

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.

• Collect, clean, and validate data from multiple banking systems such as loan management, treasury, trade finance, and 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 data quality, consistency, and compliance with reporting standards.
• Collaborate with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

• Bachelor's degree in Data Science, Statistics, Economics, Finance, Computer Science , or a related field.
• Minimum 7 years of experience as a Data Analyst, ideally within banking or financial services .
• Strong understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
• Proficiency in SQL and familiarity with Python or R for statistical analysis.
• Good knowledge of risk, compliance, and regulatory reporting in banking.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills with the ability to present insights to both technical and business stakeholders.

• Experience with data warehousing, ETL, or big data platforms (e.g., Snowflake, Hadoop, Spark).
• Exposure to machine learning techniques for credit/risk scoring or client segmentation.
• Strong business acumen with the ability to connect data insights to revenue, cost, and risk drivers .
• Ability to work effectively in cross-functional teams within a fast-paced environment.

Responsibilities

About the Team The Marketing Science Measurement team is responsible for interpreting the performance of advertising on our platform. We work with advertisers to optimize their activity on the platform and build meaningful connections that help drive behavior change.

About the Role We are looking for a highly skilled and performance-driven Marketing Science professional to join our Regional Center of Excellence. In this role, you will lead the design and execution of advanced attribution and calibration frameworks, with a strong focus on app-first businesses.

You will partner with cross-functional teams across multiple regions to ensure data accuracy, unlock actionable insights, and guide performance marketing strategies that drive measurable business impact. Responsibilities:

• Design, test, and scale advanced attribution frameworks that go beyond last-click attribution frameworks
• Act as subject-matter expert on Mobile Measurement Partners (AppsFlyer, Adjust, Singular, Branch, etc.)
• Partner with sales, product, and other cross functional teams to troubleshoot attribution gaps and improve app performance tracking
• Develop and implement calibration frameworks to reconcile discrepancies between platform-reported and MMP data
• Provide deep expertise in app measurement, user acquisition, re-engagement, and retention analytics.
• Translate technical findings into clear, business-relevant insights for cross-functional stakeholders (product, sales, etc.).
• Develop automated dashboards and reporting tools to scale insights across the organization.
• Stay ahead of industry trends in attribution, privacy changes (SKAN, Privacy Sandbox, etc.), and app ecosystem evolution.

Qualifications

Minimum Qualifications:

• Bachelor's degree in Statistics, Economics, Engineering, Computer Science, Marketing Analytics, or related field.
• 5+ years of experience in digital marketing, marketing science, or measurement analytics.
• Hands-on experience with at least one MMP (AppsFlyer, Adjust, Branch, Singular, etc.).
• Strong knowledge of attribution methodologies and campaign performance measurement.
• Experience working on app-first businesses (UA, re-engagement, retention measurement).
• Strong problem-solving skills: able to frame ambiguous business challenges into structured analytical approaches.
• Excellent communication skills with the ability to distill complex analysis into clear and actionable recommendations.

Preferred Qualifications:

• Minimum 5 years of experience in data analytics, marketing science or applied statistics roles.
• Background in digital marketing, advertising measurement or app measurement.
• Experience in performance marketing or marketing science roles at a global tech platform, MMP, or leading app business.
• Proven expertise in calibration frameworks and reconciling data discrepancies across sources.
• Familiarity with privacy-driven measurement solutions (e.g., SKAN, Privacy Sandbox, modeled attribution).

Join the Data Strategy Group to support day-to-day data management operations for the Enterprise Data Warehouse (EDW) and Total Portfolio Data Mart (TPDM) . You'll safeguard data quality and service levels, diagnose and resolve data issues, and partner with business users and technology teams to deliver reliable, well-documented data for decision-making.

• Data quality & reconciliation: Execute daily/weekly/monthly reconciliations and controls; track results against SLAs ; investigate exceptions and drive timely remediation.
• Monitoring & troubleshooting: Proactively monitor pipelines/jobs; perform first- and second-level analysis to resolve load failures, performance bottlenecks, and data anomalies.
• SQL analysis: Write, optimize, and review SQL to profile data, validate logic, and produce ad-hoc analyses and reconciliations.
• Issue management: Log, triage, and own data issues through resolution; perform root-cause analysis; raise change requests as needed.
• UAT: Design test scenarios/cases, prepare test data, execute UAT , document results, and sign-off with stakeholders.
• User support: Handle user queries and access requests; clarify requirements; provide timely updates and workarounds.
• Documentation: Produce and maintain technical/functional specifications, data dictionaries, lineage notes, SOPs, and runbooks.
• Collaboration: Work closely with project leads, data engineers, and business users to improve processes, controls, and data models.

• CAT-1 security clearance or eligibility .
• Bachelor's degree in Computer Science / Information Technology (or related).
• Hands-on experience managing data reconciliations/quality checks to SLA (implementation, monitoring, troubleshooting).
• Solid data analysis background with strong problem-solving and logical thinking.
• Proficiency in SQL (joins, window functions, CTEs, performance basics).
• Experience designing and executing UAT .
• Comfortable with data issue management and stakeholder communications.
• Ability to provide clear technical/functional documentation .
• Investment data domain knowledge (e.g., instruments, positions, trades, valuations, benchmarks, corporate actions).

• Experience with Snowflake (roles/warehouses, performance tuning, tasks/streams).

Our Journey

ShopBack began in 2014 as a late-night spark of inspiration between Henry and Joel — not just to build a Cashback platform, but to reimagine how brands and consumers connect. As former advertisers, they understood the limitations of traditional marketing, and saw an opportunity to deliver more value on both sides. That idea quickly turned into action, with the first prototype built during a 24-hour sprint. Today, ShopBack serves over 50 million users across 13 markets, partners with 20,000+ merchants, and powers over half a million transactions daily. We're building The World's Most Rewarding Way to Shop — and looking for bold, driven individuals to join us.

At ShopBack, we handle a lot of data that can tell us about the way shoppers make buying decisions and the data team is responsible for collecting, processing and organising these large amounts of data. We then analyse these complex datasets to draw out practical findings and data solutions that different stakeholders can utilise to enhance the ShopBack experience. As a Data Analyst (intern), you will see a direct link between your work, company growth, and user satisfaction. You will partner with different stakeholders to support business decisions and generate actionable insights. Your work has a direct impact on millions of shoppers in 12 markets ShopBack operates in and is pivotal in driving the direction and future success of ShopBack.

We are currently accepting applications for H Dec 2025/Jan 2026 to May/June 2026).

At this time, we are only able to consider candidates located ONLY in Singapore. However, we'd hope you continue to keep us in mind for other potential opportunities in the future.

ShopBackers' DNA

Grit - We tackle all challenges head-on, working together to solve problems and achieve success.

Hunger - We value hard work, and having relentless drive.

Speed - We move fast and have a bias for action, all to deliver maximum impact.

Impact - We focus on results, always aiming for the best possible outcomes and timelines.

Growth - We embrace a growth mindset, constantly striving to learn, improve, and excel in our roles.

Exclusively for ShopBackers

Career progression paths and opportunities to take on greater challenges that help you realise your ambitions.

Be part of a winning team on a journey to global scale.

Competitive compensation based on your performance.

Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.

Flow Day Thursday (1-day a week, optional to work from home or office)

ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws. Join our team and help us make a difference

We are committed to protecting your data and ensuring fairness in our recruitment process. We may use automated tools, including AI, to help our team screen applications, match candidates to roles, generate interview notes, and review assessments. These tools assist our recruiters and interviewers and they do not make final hiring decisions. If an assessment is part of your process, we may (with your consent) capture screen activity and/or webcam images during the test to help verify test integrity. We do not use AI to infer your emotions or sensitive traits. We process personal data lawfully, securely, and transparently in line with applicable data-protection laws and our commitment to fair employment. You can ask questions or exercise your rights including to request human review or to challenge an outcome by contacting