374 Data Specialist jobs in Singapore

We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization. The role requires a unique blend of business acumen, technical expertise, and storytelling ability. You will collaborate with stakeholders to understand business challenges, translate them into data science problems, and develop actionable insights through advanced analytics and machine learning. Beyond analysis, you will communicate results through impactful narratives and visualizations, enabling stakeholders to make informed, strategic decisions.

Key Responsibilities

• Facilitate discussions with stakeholders to understand their business challenges, sharpen use cases, and translate them into data science projects.

• Perform data cleaning, preprocessing, feature engineering, and build robust data science models to address identified use cases.

• Present findings, gather feedback, and iterate in collaboration with stakeholders while managing overall project timelines.

• Communicate insights in a clear and compelling narrative, supported by impactful data visualizations, to influence key decision-makers.

• Design dashboards and interactive visualizations as tools for data exploration and storytelling, depending on the use case.

• Translate business use cases into analytical problems and identify appropriate data sources for problem-solving.

Experience & Skills

• Needed Strong ability to translate business problems into analytical frameworks and select suitable data sources.

• Proficiency in scripting for data preparation and analysis using modern tools and programming languages (e.g., Python, R, SQL).

• Skilled in cleaning, imputing, and correcting anomalies in structured and unstructured datasets to ensure high data quality.

• Hands-on experience in exploring and analyzing datasets, applying probability and statistical techniques to uncover insights.

• Proven ability to build, validate, and deploy machine learning models for pattern recognition, prediction, and optimization. Strong grounding in data visualization design principles and experience with tools (e.g., Tableau, Power BI, matplotlib, seaborn, Plotly) to effectively communicate insights. Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.

We are seeking a highly skilled and experienced Data & Analytics Solutions Architect to join our team. As a Solutions Architect, you will be responsible for designing and implementing scalable, robust, and efficient data and analytics solutions for our organization. You will collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand requirements and develop strategic solutions that align with business goals. Your expertise in data architecture, analytics platforms, and cloud technologies will be crucial in driving the success of our data and analytics initiatives.

As a Data & Analytics Solutions Architect, you will play a critical role in shaping our data and analytics landscape. Your technical expertise, architectural skills, and ability to drive innovative solutions will contribute to the success of our organization's data-driven initiatives.

• Design end-to-end data and analytics solutions that meet business requirements, leveraging industry best practices and emerging technologies.
• Collaborate with business stakeholders, data engineers, and data scientists to understand data and analytics needs, and translate them into technical requirements and architecture.
• Define data architecture, including data models, data integration, data pipelines, and data storage solutions, ensuring scalability, performance, and data quality.
• Evaluate and recommend suitable analytics platforms, tools, and technologies for data processing, data visualization, and advanced analytics.
• Collaborate with infrastructure and cloud teams to design and implement scalable and cost-effective cloud-based data platforms and services.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and data flow diagrams.

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Solutions Architect, Data Architect, or a similar role, with a focus on data and analytics solutions.
• Strong expertise in data architecture, data modeling, data integration, data lake and data warehousing concepts.
• Hands-on experience with data analytics platforms, such as Synapse, Databricks, Snowflakes, Denodo, MS Fabric , Talend or equivalent.
• Proficiency in cloud platforms and services, such as AWS, Azure, or Google Cloud Platform, and knowledge of cloud-native data technologies.
• Experience in designing and implementing scalable, distributed data processing solutions, including data ingestion, data storage and data virtualization, data management and governance, data visualization, data science, real-time data analytics and data exchange.
• Experience in data visualization and reporting tools, such as Power BI, Tableau, QlikView/Qlik Sense or equivalent.
• Strong understanding of database technologies, both relational and NoSQL databases.
• Experience in implementing DevOps strategy to build automated pipelines (CI/CD)
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders.
• Experience or knowledge in advanced data analysis such as predictive and descriptive analytics using Artificial Intelligence(AI) /Machine Learning(ML) are added advantage
• Relevant certifications, such as AWS Certified Big Data – Specialty, Certified in Fabric, Denodo, Talend or Azure Data Engineer, are a plus.

Family Group: Administration

Key Responsibilities

• Support organisational reporting and dashboarding implementation by participating in requirement gathering, data extraction, and development of reports and dashboards
• Modify and maintain existing organisational reports and dashboards to ensure they meet evolving business needs
• Ensure existing reports and dashboards are refreshed on time to maintain data accuracy and reliability
• Perform analysis on datasets and provide meaningful insights to support business decisions

Essential Requirements

• Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science, or related field
• Proficiency in analytics, dashboarding, and reporting tools including Tableau, Excel (pivot tables, VLOOKUPs, data modelling), Python, and SQL
• Strong analytical, communication, and problem-solving skills
• Excellent team collaboration abilities
• Ability to deliver high-quality work within tight deadlines

Contract Details

This is a temporary position from mid-November 2025 to mid-April months). The successful candidate will work closely with our existing team to ensure seamless continuity of our data operations.

Key Responsibilities

• Support organisational reporting and dashboarding implementation by participating in requirement gathering, data extraction, and development of reports and dashboards
• Modify and maintain existing organisational reports and dashboards to ensure they meet evolving business needs
• Ensure existing reports and dashboards are refreshed on time to maintain data accuracy and reliability
• Perform analysis on datasets and provide meaningful insights to support business decisions

Essential Requirements

• Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science, or related field
• Proficiency in analytics, dashboarding, and reporting tools including Tableau, Excel (pivot tables, VLOOKUPs, data modelling), Python, and SQL
• Strong analytical, communication, and problem-solving skills
• Excellent team collaboration abilities
• Ability to deliver high-quality work within tight deadlines

Contract Details

This is a temporary position from mid-November 2025 to mid-April months). The successful candidate will work closely with our existing team to ensure seamless continuity of our data operations.

Company description:

Woodlands Health is a next-generation healthcare system in Singapore, designed from the ground-up to meet the future of care. As a new integrated acute and community hospital with specialist outpatient clinics and innovative care models, we go beyond traditional hospital walls to deliver person-centred, connected, and seamless care. Our mission is to redefine healthcare for a rapidly aging and diverse population, through digital innovation, preventive health, and strong partnerships with the community. With a deep commitment to team-based care, sustainability and health equity, Woodlands Health is not just about treating illness - we are building a healthier future for all.

Job description:

Key Responsibilities

• Support organisational reporting and dashboarding implementation by participating in requirement gathering, data extraction, and development of reports and dashboards
• Modify and maintain existing organisational reports and dashboards to ensure they meet evolving business needs
• Ensure existing reports and dashboards are refreshed on time to maintain data accuracy and reliability
• Perform analysis on datasets and provide meaningful insights to support business decisions

Essential Requirements

• Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science, or related field
• Proficiency in analytics, dashboarding, and reporting tools including Tableau, Excel (pivot tables, VLOOKUPs, data modelling), Python, and SQL
• Strong analytical, communication, and problem-solving skills
• Excellent team collaboration abilities
• Ability to deliver high-quality work within tight deadlines

Contract Details

This is a temporary position from mid-November 2025 to mid-April months). The successful candidate will work closely with our existing team to ensure seamless continuity of our data operations.

We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization. The role requires a unique blend of business acumen, technical expertise, and storytelling ability. You will collaborate with stakeholders to understand business challenges, translate them into data science problems, and develop actionable insights through advanced analytics and machine learning. Beyond analysis, you will communicate results through impactful narratives and visualizations, enabling stakeholders to make informed, strategic decisions.

Key Responsibilities

· Facilitate discussions with stakeholders to understand their business challenges, sharpen use cases, and translate them into data science projects.

· Perform data cleaning, preprocessing, feature engineering, and build robust data science models to address identified use cases.

· Present findings, gather feedback, and iterate in collaboration with stakeholders while managing overall project timelines.

· Communicate insights in a clear and compelling narrative, supported by impactful data visualizations, to influence key decision-makers.

· Design dashboards and interactive visualizations as tools for data exploration and storytelling, depending on the use case.

· Translate business use cases into analytical problems and identify appropriate data sources for problem-solving.

Experience & Skills

· Needed Strong ability to translate business problems into analytical frameworks and select suitable data sources.

· Proficiency in scripting for data preparation and analysis using modern tools and programming languages (e.g., Python, R, SQL).

· Skilled in cleaning, imputing, and correcting anomalies in structured and unstructured datasets to ensure high data quality.

· Hands-on experience in exploring and analyzing datasets, applying probability and statistical techniques to uncover insights.

· Proven ability to build, validate, and deploy machine learning models for pattern recognition, prediction, and optimization. Strong grounding in data visualization design principles and experience with tools (e.g., Tableau, Power BI, matplotlib, seaborn, Plotly) to effectively communicate insights. Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.

We are seeking a highly skilled and motivated Data Scientist to join our team and drive data-driven decision-making across the organization. The role requires a unique blend of business acumen, technical expertise, and storytelling ability. You will collaborate with stakeholders to understand business challenges, translate them into data science problems, and develop actionable insights through advanced analytics and machine learning. Beyond analysis, you will communicate results through impactful narratives and visualizations, enabling stakeholders to make informed, strategic decisions.
Key Responsibilities
Facilitate discussions with stakeholders to understand their business challenges, sharpen use cases, and translate them into data science projects.
Perform data cleaning, preprocessing, feature engineering, and build robust data science models to address identified use cases.
Present findings, gather feedback, and iterate in collaboration with stakeholders while managing overall project timelines.
Communicate insights in a clear and compelling narrative, supported by impactful data visualizations, to influence key decision-makers.
Design dashboards and interactive visualizations as tools for data exploration and storytelling, depending on the use case.
Translate business use cases into analytical problems and identify appropriate data sources for problem-solving.
Experience & Skills
Strong ability to translate business problems into analytical frameworks and select suitable data sources.
Proficiency in scripting for data preparation and analysis using modern tools and programming languages (e.g., Python, R, SQL).
Skilled in cleaning, imputing, and correcting anomalies in structured and unstructured datasets to ensure high data quality.
Hands-on experience in exploring and analyzing datasets, applying probability and statistical techniques to uncover insights.
Proven ability to build, validate, and deploy machine learning models for pattern recognition, prediction, and optimization. Strong grounding in data visualization design principles and experience with tools (e.g., Tableau, Power BI, matplotlib, seaborn, Plotly) to effectively communicate insights. Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.
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Job Scope:
As a Data Specialist, you will play a key role in enhancing data collection and integration processes. Your responsibilities will include:
Data Collection Design:
Support the design and implementation of effective data collection channels to ensure data integrity and usability.
Data Integration & Dashboarding:
Facilitate integration between data collection platforms and dashboards, ensuring smooth data flow for reporting and analytics.
Process Automation & Improvement:
Identify opportunities to streamline workflows and improve data-related processes through automation and innovation.
Requirements:
Business Intelligence & Technical Skills
Proficient in
Microsoft Excel
(e.g., formula creation, database setup).
Familiar with
Tableau
for data visualization and dashboard development.
Experience in
data analysis and reporting tools .
Strong ability to translate raw data into clear, actionable insights.
Process Innovation
Creative and analytical approach to solving process-related issues.
Knowledge of
project management tools and techniques
for organizing and tracking workflow improvements.
Soft Skills
Strong
analytical thinking
and
problem-solving
capabilities.
Effective
communication skills
for collaborating with internal stakeholders and team members.
EA License No.: 96C4864
Reg No.: R HUANG QIMENG
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• Support Wave 2 (APAC) project from a data conversion perspective.
• Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
• Play a role in data validation as well