705 Senior Data Analyst jobs in Singapore
Principle Data Analyst - Business Intelligence
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Strategic Problem Decomposition & Analysis
Apply a structured, hypothesis-driven approach to break down ambiguous, high-level business questions into a series of addressable data points and analyses.
Lead the translation of executive vision and concerns into analytical frameworks and project plans.
Go beyond reporting and deliver synthesized insights with clear conclusions and actionable recommendations.
Business Insights & Strategic Reporting
Design, develop, and maintain a comprehensive suite of dashboards and reports to provide 360-degree view of business performance.
Proactively identify and investigate potential risks and opportunities, assessing their strategic and financial impact.
Craft a clear narrative that guides stakeholders from the problem statement through the analysis to a logical, data-backed conclusion, facilitating C-level leadership buy-in.
Strategic Data Science Leadership
Help Data Science Manager to lead the global data science roadmap, aligning advanced analytics and machine learning initiatives with business objectives.
Partner with business intelligence, strategy, product, and regional business teams to identify high-impact opportunities.
Requirements
Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
8+ years of experience in consultancy or fintech industry, including at least 3 years in a leadership role.
Proven experience applying analytics in business contexts (e.g., growth strategy, market expansion, business performance optimization).
Excellent communication skills, able to influence and engage C-level executives globally.
Experience managing cross-functional and multicultural teams in fast-paced environments.
Fluent in Mandarin and English.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology and Finance
Industries
Desktop Computing Software Products and IT System Custom Software Development
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Data Analyst
Posted 3 days ago
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Additionally, the Data Analyst will have to work closely with stakeholders from Materials Sourcing, Materials Library, Sustainability & Responsibility teams as well as External Suppliers to automate/optimize data related processes and share key insights on the data. The individual will bring a combination of an analytical mindset and business knowledge to the organization and fully leverage "One VF way" using various systems and data. Frequent influential communication to Management level is required.
**Key Result Areas:**
**Strategic Insights and Data Support**
Support in maintaining Materials related databases (supplier capability list, delivery data, quality data etc ), ensuring high data quality and process adherence.
Analyze materials data to produce strategic insights. Help prepare presentation materials to share insights and recommendations.
**Project** **and Stakeholder** **Management **
Provide clear communication to internal stakeholders to influence behavior change and achieve business objectives.
Closely partner with key internal and external stakeholders, leveraging VF data systems to meet material supplier related reporting requirements.
**Data Automation and Reporting**
Drive development of data analytics and automation tools / systems to reduce manual efforts on data collection, processing and transformation.
Identify automation and improvement opportunities, build business cases to justify investment outcomes.
**Competency Requirements:**
Behavioral Competencies -
High EQ in working with cross function/cultural partners.
Excellent interpersonal and communication skills (oral and written).
Optimistic and dare to take calculated risks.
Team player and the ability to work independently.
Bold and creative thinking.
Able to work under pressure with multiple tasks simultaneously while meeting tight deadlines.
**WHAT WE WILL BE LOOKING FOR IN YOU:**
Undergraduate degree in Quantitative/STEM field with 1-3 years of experience (Fresh graduates are also welcomed).
Knowledge and experience with business intelligence or data engineering.
Possess skills in either Python, R, SQL, Knime, Tableau, Alteryx software would be ideal.
Advanced user of Microsoft Office tools, especially Excel and PowerPoint.
Strong interpersonal, communication and report writing skills.
Strong analytical skills, independent thinking, data-oriented, and knowledge of analytics tools good stakeholder management.
VF Diversity Vision Statement VF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world.VF is an equal employment opportunity/ affirmative action employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status, or any other legally protected factor.
R-
VF Diversity Vision Statement
VF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world.VF is an equal employment opportunity/ affirmative action employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status, or any other legally protected factor.
Data Analyst
Posted 3 days ago
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Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
Data Analyst
**General Overview of the position:**
Provide data-related expertise to the business in support of its operations, growth and decision-making capabilities. This will be delivered largely through the use of Power BI, SAP Business Objects and Microsoft Office.
**Main duties and responsibilities:**
**Management Information (MI) Reports and Data Operations**
+ Create and maintain MI reports to support finance, operations, quality assurance, client and management teams across Asia for internal use.
+ Create and maintain MI reports for clients based on their requirements.
+ Manage report distribution schedules.
+ Monitor data quality and liaise with relevant teams to resolve issues.
+ Gather and analyse user requirements for reports.
+ Raise requests to data engineering team for new reporting fields.
+ Monitor and test newly released data fields and feedback to the data engineering team.
+ Assist to resolve data related issues with the data engineering team.
+ Engage Ops/Finance/Admin colleagues to resolve data-related queries.
+ Assist with the preparation and delivery of data services to clients.
+ Visualize data using Excel and Power BI.
+ Review day-to-day data operations to identify areas of improvement.
**Data Analysis and Dashboards**
+ Analyse data related to operations, finance, and clients, to extract insights and collaborate with business units to identify opportunities for improvement/growth and assist to develop action plans
+ Create and distribute dashboards at multiple levels such as management, business units, teams and individuals.
+ Create dashboards to be used by clients.
+ Use Power BI to set up data models, write DAX queries and use Power Query to transform data.
+ Investigate and resolved data discrepancies, ensuring accuracy and consistency in reports/dashboards.
**Other**
+ Document all work, metrics, calculations, processes and maintain relevant data dictionaries where required.
+ Assist and support the team on any projects and initiatives.
+ Other such reasonable duties within the general scope of the job title, at the Manager's discretion.
**Other Duties**
+ As required/assigned.
**_Education/Qualifications:_**
+ Bachelor's degree in the sciences, engineering, technology, or finance is preferred.
**_Experience:_**
+ At least 1 year of experience in the general insurance industry or management information reporting. (Ideal but not required)
**_Skills/Knowledge:_**
+ Excel skills and fluency at pivot tables.
+ Data visualization using Power BI
+ SQL queries (basic/intermediate)
+ Python, including libraries related to data analysis and machine learning.
+ Familiarity with basic data analytics concepts and theories.
+ Experience using enterprise reporting tools e.g. SAP Business Objects.
+ Microsoft Power Automate is a plus.
+ Systematic problem solver, good planner, and a clear communicator.
Sedgwick is an Equal Opportunity Employer.
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time.
**Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**
Data Analyst
Posted today
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About the Project
We are seeking an experienced Data Analyst to support business operations. This role will focus on headcount and resource planning, expense analysis, and margin assessment, ensuring optimal staffing levels to meet business demands.
Responsibilities
Assess data related to business margins, expenses, resource allocation, and costing data to support operational planning.
Lead headcount planning by calculating requirements, identifying overstaffing/understaffing situations, and providing actionable recommendations.
Prepare and deliver professional presentations to senior stakeholders, backed by accurate data points and insights.
Conduct forecasting to anticipate future business needs and resource requirements.
Provide consulting support to the business on capacity planning strategies.
Collaborate with cross-functional teams across APAC markets to align planning with operational objectives.
Skills/Requirement
Minimum 5 years of experience in data analysis, reporting and presentation in a corporate environment.
Strong proficiency in Excel (advanced formulas, pivot tables, charts, data modelling).
Proven experience in preparing and presenting insights to senior business leaders.
Ability to challenge senior stakeholders constructively with data-backed recommendations.
Strong analytical, forecasting, and problem-solving skills.
Excellent communication and presentation abilities.
Prior experience in APAC roles preferred.
We regret to inform you that only shortlisted candidates will be contacted.
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Data Analyst
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JOB PURPOSE AND RESPONSIBILITIES
- Analyze large, complex datasets representing the behavior of millions of retail consumers and users of the Fairprice online platforms to address strategic and operational needs of the business
- Initiate and design projects: plan a methodology, analyse the data, synthesize research findings into key insights and recommendations, and present to stakeholders at various levels
- Develop frameworks, models, tools, and processes to institutionalize insights discovery
- Coordinate and work with various internal clients including, but not limited to - business leads, category managers, marketing, finance, etc, using data to drive continuous improvement in their respective business objectives
- Build strong relationships with internal stakeholders to understand business challenges and opportunities
- Recommend solutions across operation such as identifying bottlenecks, recommending assortments, and how to improve customer experience
- Manage end-to-end data projects; identify issues, gather information from various sources, analyze data, interpret patterns and trends, give recommendations, and create insightful automated reports
- Review day-to-day operation processes, identify areas of improvement and make actionable recommendations based on underlying analysis
- Automate and validate newly created reports and develop corrective actions to improve data integrity and quality
- Be a steward of good data practices - robust documentation, process and knowledge sharing
- Drive transformation within the organization towards data driven decision making by developing reporting tools to drive self-service analytic
- Design and execute experimentation to use data to improve strategic projects. You must be able to define hypotheses, set up experiments, and track and analyze the results.
EDUCATIONAL QUALIFICATIONS
- Bachelor / Master degree in a relevant fields such as Statistics, Mathematics, Computer Science or another analytical field
RELEVANT KNOWLEDGE AND EXPERIENCE
- 5+ years of experience in analytics / market research / consulting / e-commerce / FMCG or equivalent
- experience
- 4+ years of experience in writing complex SQL from scratch and at least one data visualization tools other than Excel (e.g. Google Data Studio / Power BI / Tableau) to present insights from the data
- Experience in Google Data Studio, Big Query, Python, or R, modeling preferred
- Experience dealing with big data
PERSONAL CHARACTERISTICS & BEHAVIOURS
- Able to work independently and manage ambiguity
- Clear structural thinking, and strong curiosity for problem solving
- Self motivated to excel with a growth mindset to learn
- Excellent interpersonal, communication and project management skills
- Team player and ability to collaborate with stakeholders across functions
NOT APPLICABLE
Data Analyst
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Contract Duration: 6-months
Location: Jurong East
Salary: $3,300 per month (Fixed)
My client is looking for a meticulous and tech-savvy individual to support a data integrity and system enhancement initiative within the Workday HR system. This role plays a key part in ensuring data accuracy, consistency, and reliability across various employee information records.
Key Responsibilities:
• Perform comprehensive data cleaning and reconciliation in Workday, focusing on employee information across multiple data fields, including:
– Educational qualifications
– Professional certifications
– Learning and development records
– Other relevant data attributes
• Verify employee information through:
– Direct engagement with staff to validate and update data
– Cross-referencing records with source documents to ensure accuracy
– Identifying and resolving data gaps or discrepancies
• Support process improvements and assist with ad-hoc administrative or data-related tasks as assigned.
• Bachelor's Degree in Business, Human Resource, Information Technology, or a related discipline.
• At least 1 year of relevant working experience, preferably involving HR systems or data management.
• Experience with Workday will be an advantage.
• Proficient in Microsoft Excel and comfortable working across multiple IT platforms.
• Strong attention to detail, good analytical ability, and effective written and verbal communication skills.
If you enjoy working with data, have an eye for detail, and thrive in a collaborative environment, we invite you to apply and be part of this initiative to enhance data quality and system reliability.
Only shortlisted candidates will be notified.
Justin Lee
Registration No: R
APBA TG Human Resource Pte Ltd
EA License: 14C7275
Data Analyst
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Job Title: Data Analyst – Corporate Banking
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.
Key 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.
Required Skills & Qualifications
- 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.
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Data Analyst
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Are you passionate about turning data into insights that drive strategic decisions? Join our Program Management Office as a
Data Analyst
, where you'll help shape the future of our organization through analytics, dashboards, and performance metrics.
What You'll Do
- Collect and analyse data across transformation pillars: digitalisation, sustainability, operational excellence, retail, market expansion, and people & culture
- Build dashboards and visual reports to track KPIs and initiative progress
- Support decision-making with insights from surveys, operational metrics, and customer feedback
- Collaborate with functional leads to identify trends, risks, and opportunities
- Ensure data integrity and consistency across reporting platforms
What We're Looking For
- Degree in Data Science, Statistics, Business Analytics, or related field
- Proficiency in Excel, Power BI, Tableau, or similar tools
- Strong analytical and problem-solving skills
- Experience with survey analysis and performance tracking
- Ability to communicate insights clearly to non-technical stakeholders
Why Join Us?
- You'll be part of a high-impact team driving enterprise transformation. This is a unique opportunity to work directly with senior leadership and contribute to strategic initiatives that shape our future.
Data Analyst
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Job Title:Civic Data Analyst
Job Duration:12 months contract with a possibility to extend or to go permanent
We're seeking a detail-oriented Civic Data Analyst to organize and maintain civic data across Asia-Pacific and India. You'll support civic integrity initiatives, collaborate with cross-functional teams, and improve data workflows.
Responsibilities:
- Research and verify government, politician, and political party data.
- Audit and ensure data accuracy.
- Develop dashboards and reports for data analysis.
- Collaborate with engineering to improve data processes.
- Support stakeholders in daily data use.
Skills & Qualifications:
- Bachelor's in Political Science, Economics, or related field.
- 3+ years in research or data roles.
- Advanced Excel and SQL skills.
- Strong understanding of international politics and the region's political landscape.
- Self-motivated with strong attention to detail.
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Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R
Data Analyst
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Responsible for overseeing a range of operational and strategic supplier-related tasks. This role requires strong data analytics, problem solving, and project management capabilities to support stakeholder engagement, compliance governance, data tracking, and supplier communications.
Job Details:
- Contract: 1 + 1 year contract (with 1 month completion bonus for every year of completed service)
- Working location: West (Joo Koon)
- Working hours: 8.30am to 6 pm (Mon to Fri).
- Hybrid working arrangements: 2 days WFH
Job Scope:
- Manage and analyze complex datasets efficiently to identify root causes of issues and propose corrective or preventive measures as part of continuous improvement initiatives.
- Ensure accurate and timely billing and tracking of allowances and incentives. Monitor supplier progress on incentives and work closely with the buying team to meet targets.
- Create and automate scorecards and dashboards. Leverage digital tools to streamline reporting processes and drive action plans to improve vendor performance with the category management team.
- Oversee user testing, gather requirements, and liaise with the data team to provision dashboard access.
- Create, support, and monitor margin analysis, business metrics tracking, cost analysis, and reporting. Respond to ad hoc analysis requests from the buying team.
- Support procurement teams with contract management, ensuring adherence to the contract approval matrix and follow-up on outstanding items.
- Manage and support ongoing project timelines, deliverables, supplier communications, and proper documentation of actions.
- Support Code of Conduct declarations and track compliance-related activities.
Job Requirement:
Education & Experience:
- Degree in Business, Data Analytics, Finance, or a related field.
- Minimum 2–3 years' experience in any industry, preferably in Finance, Commercial, Analytics, or related functions.
Technical Skills:
- Microsoft Excel: Proficient in advanced Excel functions (e.g., VLOOKUP, INDEX-MATCH, PivotTables) for managing and analyzing complex datasets.
- Analytical Skills: Strong analytical thinking with hands-on experience in SQL or similar tools to extract insights independently. Familiarity with data platforms (e.g., Databricks, BigQuery) and dashboard tools (e.g., Power BI, Tableau, Google Analytics) is a plus.
- Systematic & Logical Thinking: Ability to quickly understand business problems, connect the dots, and translate them into well-organized, executable tasks.
- Strong problem-solving mindset with a proactive, hands-on approach.
Interpersonal Skills:
- Able to engage and manage internal and external stakeholders effectively, including leadership, suppliers, and cross-functional teams.
- Capable of working independently and collaboratively across teams.
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