417 Data Lead jobs in Singapore

Were looking for a hands-on
Data Lead/ Analytics & BI Manager
to join our team and help drive business insights, manage our data infrastructure, and work closely with internal stakeholders and partners. This role
blends technical capability with stakeholder management
and will suit someone looking to step up into a lean team leadership role while remaining close to the data.
Yourell manage a small team (including offshore support), deliver high-quality dashboards and reports, and help the business make smarter, data-informed decisions. You should also be comfortable working across BI platforms and evolving data environments.
Team Management & Collaboration
Provide day-to-day guidance to a small data team (analyst + offshore engineer)
Delegate tasks clearly, review output, and support team development
Ensure smooth communication across internal and external stakeholders
Step in on analytics work when needed
hands-on role
Foster a collaborative and delivery-focused team culture
Business Intelligence & Reporting
Maintain and enhance dashboards, reports, and BI tools
Liaise with marketing, business development, and client servicing teams to understand reporting needs
Translate business requirements into scalable dashboards and meaningful insights
Troubleshoot issues, validate data outputs, and ensure reporting continuity
Support enhancements to BI systems, including redesign of dashboards and evolving KPI needs
Deliver clear insights to business users and external partners
Provide training on new dashboards and support user onboarding
Have experience in marketing analytics, CRM analytics and/or pricing analytics
Client & Stakeholder Engagement
Act as the primary point of contact for all client-related data and reporting matters
Manage and resolve client inquiries, data issues, and enhancement requests in a timely and professional manner
Build strong relationships with key clients and ensure expectations are met or exceeded
Coordinate cross-functional responses to client needs and proactively surface insights that add value
Data Engineering Support
Manage and maintain routine ETL tasks, data pipelines, and scheduled reloads
Coordinate with offshore engineer to ensure data quality and timely delivery
Participate in projects to improve data integration, modelling, and structure
Ensure proper documentation and version control for data processes
Operational Excellence
Track and respond to internal support requests and enhancement tickets
Maintain updated user documentation, data dictionaries, and glossary of metrics
Handle routine and ad-hoc reporting needs
Ensure access controls are maintained and usage monitored appropriately
Manage and prioritize competing projects and deliverables while maintaining project timelines and budgets
Communication & Collaboration
Excellent leadership and communication skills, inspiring and motivating diverse teams across onshore and offshore locations
Effective collaboration with business stakeholders, IT department, and offshore partners
Professional demeanor and excellent communication skills for interacting with internal and external stakeholders
Additional Skills
Passion for learning new technical tools and business concepts
Ability to work independently and resourcefully solve day-to-day issues
Strong background in Excel and PowerPoint
Maintain discretion with sensitive and confidential information
Job Specifications:
Bachelor's degree or graduate degree in Data, Computer Science, or a related field with 4 6 years of experience in data analytics, BI, or a related field
Strong SQL/ Python skills and experience with BI tools (e.g. Apache Superset, Google Looker, Microsoft Fabric/Power BI, Tableau, etc.) as well as web analytics - Google Analytics 4
Comfortable working with evolving dashboards, KPIs, and business needs
Hands-on experience with data transformation and working across data pipelines
Exposure to stakeholder management, requirements gathering, and cross-functional collaboration
A self-starter who is comfortable with ambiguity and evolving priorities
Bonus: Experience working in environments where data tools or platforms were being upgraded or restructured
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You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

Responsibilities
ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa.
Team Introduction: The Physical Security System and Data team will lead physical security system lifecycle (SDLC) from design, implementation and maintenance, such as enterprise video management systems, physical access control systems, key management systems. Our focus is on leveraging systematic tools to enhance physical security management and protect the company's global operations aligned with our security strategy.
Strategic Leadership: Direct and guide the global physical security system and data team in comprehensive development, strategic planning, and execution of initiatives and projects.
System Design: Design and implement core physical security system structure including access control, surveillance system. Explore higher-standard security digital solutions to create industry-leading products and solutions.
System Maintenance: Maintaining a healthy and stable system status to support onsite security operation by performing regular audits against industry best practices and remediate discovered vulnerabilities in partnership with stakeholders.
Data and Access Management: Develop a comprehensive physical security data governance and system access framework to support daily operations, protect data security and system security.
Risk Management: Perform thorough risk assessments to identify potential security threats. Develop and recommend tailored physical security measures and strategies to address and mitigate identified risks effectively. Be able to escalates whenever needed, and prepare Plan B alternatively as always.
Regulatory Compliance: Oversee and ensure adherence to all relevant local and national regulations governing physical security, maintaining rigorous standards and practices across all security operations.
Minimum Qualifications
5+ years of extensive experience designing, deploying and maintaining global, enterprise video management systems or physical access control systems.
Deep expertise with a variety of security technologies and manufacturers and familiarity with international regulations and standards related to physical security system.
Demonstrated ability to manage security systems from conception through implementation, including vendor management, system design, and troubleshooting.
Strong leadership skills with a proven ability to effectively manage and mentor teams with a proven track record in a leadership role.
Preferred Qualifications
Bachelor’s degree in a relevant field or higher.
Excellent cross-team communication and collaboration skills, with the capacity to work efficiently with global stakeholders.
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Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Join our dynamic Global Wealth Data & Analytics team as a Data Strategy Lead, where you'll spearhead the development and implementation of a comprehensive data strategy. Collaborate with cross-functional teams to optimize data delivery processes including defining the target state and the execution roadmap. This role offers the opportunity to lead strategic initiatives and empower teams through data literacy and continuous learning.

As a Data Strategy Lead, you will be responsible for developing and implementing a comprehensive data strategy and data delivery framework. You will collaborate with cross-functional teams to optimize data delivery processes, manage dependencies, communicate strategies, facilitate data tool rollout, and prioritize roadmaps across D&A teams

Job Responsibilities:

• Develop and implement a robust data strategy aligned with organizational goals and objectives.
• Design the execution of bank's transformation programs to support the transition towards a data-driven organisation, with data and people at the heart of change.
• Bring to life a seamless data and analytics strategy that solve most complex business challenges to enable the making of better-informed decisions.
• Design and implement data and technology operating models that encompass people, process, technology, and data.
• Provide thought leadership on use of traditional or emerging technology tools and disrupt their current ways of working to extract greater value from their input.
• Lead various cross-functional engagement forums, including working group sessions and executive updates.
• Collaborate across teams to ensure alignment on data strategy, dependencies, execution roadmaps, and delivery timelines.
• Engage with stakeholders to understand data needs and devise solutions that support business objectives.
• Identify opportunities for leveraging data and technologies to deliver business insights.

Required Qualifications, Capabilities, and Skills:

• Minimum 3 years' experience in Financial Services (either industry or consulting). Preferably a year of consulting experience in any of the Big 4 or consulting firms.
• Understand how data strategies are created and implemented.
• Passion for designing large, multi-year data transformations with people at the centre of change.

• Passion for solving big complex problems using data and technology

• Proven self-starter, able to identify needs and drive solutions.

• Excellent analytical, problem-solving, and communication skills.
• Ability to work collaboratively with cross-functional teams and influence stakeholders.

Preferred Qualifications, Capabilities, and Skills:

• Experience with financial data analytics and reporting tools.
• Knowledge of industry best practices in data analytics, delivery, and management.
• Certification in data analytics or management-related topics is a plus.

NOTE: This position is not eligible for sponsorship

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi's EEO Policy Statement and the Know Your Rights poster.

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO :