244 Data Analysis Skills jobs in Singapore

Join to apply for the Data Analytics Engineer role at Internal Security Department

What The Role Is

ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.

We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.

Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.

What You Will Be Working On

1. Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
2. Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
3. Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
4. Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
5. Recommend and evaluate technologies to introduce new analytics capabilities

What We Are Looking For

1. Applicants with no experience may apply
2. Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
3. Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
4. Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
5. Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
6. Knowledge and experience with any of the following would be an advantage:

• Machine learning (e.g., predictive analytics, natural language processing)
• Data analytics (e.g., descriptive statistics, modeling)
• Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
• Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
• Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
• System administration (e.g., OS, networking, databases)
• Container technologies (e.g., Docker, Kubernetes)

We wish to inform you that only shortlisted candidates will be notified.

• Entry level

• Full-time

• Information Technology

• Government Administration and Industrial Machinery Manufacturing

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Overview

Employment Type: Contract
Working Hours: Monday to Friday, 8.30am – 5.30pm (Hybrid)
Location: One North
Salary: Up to $9,000

• Create non-standard custom reports by integrating data from ERP and other enterprise systems using cloud-native analytics platforms, and deliver these reports to end users or downstream systems.
• Create dashboards, reports, and visualizations to communicate insights effectively and support decision-making.
• Work with business users and technical/data engineering teams to enhance the enterprise analytics platform, tools, and reusable assets.
• Track, validate, and improve the performance of analytical solutions delivered.
• Support the Product Owner by working within an Agile product team, contributing to the full product development lifecycle from conceptualization to delivery of analytics solutions.
• Collaborate with business stakeholders to design and deliver end-to-end analytics solutions, including problem/use case formulation, data preparation, proof-of-concept, and deployment into production.
• Provide operational support and maintenance for the data and analytics infrastructure platform.
• Curate, develop, and deliver training sessions or workshops to build analytics knowledge and skills across the organization.
• Perform other related duties to support departmental or organizational goals as required.

• Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or related discipline; relevant technical certifications are an advantage.
• Minimum 10 years of experience in designing and delivering advanced analytics or data science solutions to address business challenges.
• Proficiency in SQL, R/Python, and advanced analytics and visualization tools such as Tableau and Power BI.
• Strong familiarity with analytics and/or machine learning platforms, including how they integrate with upstream and downstream data and production systems.
• Good to have experience with ERP and enterprise systems such as SAP S/4HANA, Ariba, SAP Analytics Cloud.
• Familiarity with cloud-native data and analytics platforms such as Azure Data Factory, Snowflake, Databricks.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Note: This description excludes extraneous company-wide postings and unrelated job listings that appeared in the original content.

To apply for this exciting role, it would be great if you could share your CV to a designated contact. Alternatively, you can apply via our company's website.

• A heavy investment in AI and data drives our growth strategy.
• We are seeking a Senior Data Scientist to join our fast-paced team in Singapore.

Our client is a leading player in the industry with an aggressive expansion plan. They have made significant investments in AI and data to drive innovation and growth.

About the Job

Your role will involve designing and implementing scalable end-to-end machine learning pipelines on Azure Databricks using Spark. You will also develop and deploy advanced AI and machine learning models for tasks such as Natural Language Processing (NLP), time-series forecasting, and anomaly detection.

• You will perform large-scale data exploration, feature engineering, and data processing on structured and unstructured data.
• You will translate complex business requirements into technical specifications for AI-driven solutions.
• You will stay current with the latest industry trends and research in AI, machine learning, and distributed computing.
• You will present findings and model outcomes to technical and non-technical stakeholders in a clear, concise manner.

To be successful in this role, you will need at least 3 years of experience in Data Science. Proven track record in Azure Data | Spark | Python | AI will be required.

This is an excellent opportunity to lead data transformation with a leading corporation. You will get the opportunity to be exposed to multiple advanced data analytics tools.

• Support project managers and collaborate with vendors/internal stakeholders to deliver data-related implementations within agreed timelines.
• Work with cross-functional teams (data scientists, engineers, product managers, business analysts) to develop and deploy data solutions into production systems.

• Gather user requirements, analyse business needs, and document specifications for data products.
• Develop, monitor, and maintain data pipelines, ensuring data quality and accuracy.
• Support testing and validation of fixes and enhancements, including executing test cases and monitoring system performance.
• Assist in data migration efforts, ensuring completeness and quality of migrated data.
• Cleanse, process, and verify data integrity for pipeline development and analysis.
• Design and enhance dashboards and data visualisations to optimise user experience.

• Degree in Computer Science, Information Systems, Data Analytics, Statistics, Applied Mathematics, or related discipline.
• 1-2 years of hands-on experience in data projects, with skills in building, deploying, and maintaining data workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Experience working with both structured and unstructured datasets.
• Proficiency in programming tools (e.g., R, Python) and scripting languages (e.g., SQL, Java).
• Knowledge of DataOps/MLOps and experience deploying models and workflows through DevOps processes is a plus.
• Excellent communication skills, able to explain complex data concepts to non-technical audiences.
• Strong organisational and time management skills, with the ability to manage stakeholders effectively.

This role requires a seasoned professional to spearhead the implementation and delivery of our organization's Digital roadmap. Focusing on the Central Audit Analytics Platform (CAAP), you will drive IA's digital vision by leveraging technology, automation, and data analytics to enhance auditors' efficiency and effectiveness, and gain deeper insights.

We are looking for an experienced Data Analyst with strong technical skills and excellent communication abilities.

• Data Management: Work closely with Data Scientists to create key data pipelines for heterogenous datasets ensuring the accuracy and integrity of data used in reporting.
• Data Analysis and Problem Solving: Utilize data analytics for structured and unstructured data to identify patterns and anomalies and generate actionable insights to enhance risk and controls, outlining data lineage to trace sources of anomalies and develop and maintain reports and dashboards using Tableau, Excel, and other BI tools.
• Security and Compliance: Address data risks, including those related to PII (Personally Identifiable Information) and ensure secure data handling throughout the pipeline.
• Business Decision Support: Work closely with Internal Auditors to analyze large data sets, trends and results to drive data-driven operational risk decisions and provide recommendations based on data analysis to support business decision-making.

To succeed in this position, you should have:

• Strong experience with Tableau, data tools like Power BI and programming languages such as Python, R in cloud-based data environments like AWS.
• Expertise in handling structured and unstructured data, with a passion for delivering value and driving successful outcomes.
• Excellent communication skills and interpersonal skills to work effectively with cross-functional teams.
• Experience in leveraging Gen AI to expedite the delivery of solutions.

Unlock customer insights with our team of passionate data analytics professionals, driving the development of strategic business solutions.

Job Summary

We're seeking a highly skilled Data Lead/ Analytics & BI Manager to drive business insights, manage data infrastructure, and collaborate with internal stakeholders and partners.

This role combines technical expertise with stakeholder management and is ideal for someone looking to step up into a leadership position while remaining close to the data.

• Manage a small team (including offshore support) and deliver high-quality dashboards and reports.
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• Help the business make smarter, data-informed decisions by working across BI platforms and evolving data environments.
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Team Management & Collaboration

• Provide day-to-day guidance to a small data team (analyst + offshore engineer).
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• Delegate tasks clearly, review output, and support team development.
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• Ensure smooth communication across internal and external stakeholders.
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• Step in on analytics work when needed - this is a hands-on role.
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• Foster a collaborative and delivery-focused team culture.
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Business Intelligence & Reporting

• Maintain and enhance dashboards, reports, and BI tools.
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• Liaise with marketing, business development, and client servicing teams to understand reporting needs.
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• Translate business requirements into scalable dashboards and meaningful insights.
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• Troubleshoot issues, validate data outputs, and ensure reporting continuity.
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• Support enhancements to BI systems, including redesign of dashboards and evolving KPI needs.
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• Deliver clear insights to business users and external partners.
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• Provide training on new dashboards and support user onboarding.
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• Have experience in marketing analytics, CRM analytics, and/or pricing analytics.
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Qualifications

• Bachelor's degree or graduate degree in Data, Computer Science, or a related field.
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• 4-6 years of experience in data analytics, BI, or a related field.
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Skills

• Strong SQL/ Python skills and experience with BI tools (e.g. Apache Superset, Google Looker, Microsoft Fabric/Power BI, Tableau, etc.).
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• Comfortable working with evolving dashboards, KPIs, and business needs.
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• Hands-on experience with data transformation and working across data pipelines.
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• Exposure to stakeholder management, requirements gathering, and cross-functional collaboration.
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• A self-starter who is comfortable with ambiguity and evolving priorities.
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This is a challenging opportunity for someone who is passionate about data and wants to take their career to the next level.

If you are a motivated and results-driven individual with a strong background in data analytics, we encourage you to apply.

Period : 12 months

Location : Orchard

Salary : Up to $6500 (based on experience)

Working Hour : Mon – Thurs: 8.30am - 6.00pm, Fri: 8.30am - 5.30pm

1. Project Delivery

• Support project managers and collaborate with vendors/internal stakeholders to deliver data-related implementations within agreed timelines.
• Work with cross-functional teams (data scientists, engineers, product managers, business analysts) to develop and deploy data solutions into production systems.

2. Data Solutions Development & Maintenance

• Gather user requirements, analyse business needs, and document specifications for data products.
• Develop, monitor, and maintain data pipelines, ensuring data quality and accuracy.
• Support testing and validation of fixes and enhancements, including executing test cases and monitoring system performance.
• Assist in data migration efforts, ensuring completeness and quality of migrated data.
• Cleanse, process, and verify data integrity for pipeline development and analysis.
• Design and enhance dashboards and data visualisations to optimise user experience.

• Degree in Computer Science, Information Systems, Data Analytics, Statistics, Applied Mathematics, or related discipline.
• 1–2 years of hands-on experience in data projects, with skills in building, deploying, and maintaining data workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Experience working with both structured and unstructured datasets.
• Proficiency in programming tools (e.g., R, Python) and scripting languages (e.g., SQL, Java).
• Knowledge of DataOps/MLOps and experience deploying models and workflows through DevOps processes is a plus.
• Excellent communication skills, able to explain complex data concepts to non-technical audiences.
• Strong organisational and time management skills, with the ability to manage stakeholders effectively.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Chee Yung Chen (Zack) - R

ScienTec Consulting Pte Ltd – 11C5781

Employment Type: Contract

Working Hours: Monday to Friday, 8.30am – 5.30pm (Hybrid)

Location: One North

Salary: Up to $9,000

Job Responsibilities

• Support the Product Owner by managing an Agile product team as the lead for Data Analysts, actively contributing to the full product development lifecycle from conceptualization to solution delivery.
• Work with business stakeholders and end-users to design and deliver end-to-end analytics solutions, including problem/use case formulation, data pipeline development, proof-of-concept, and deployment into production.
• Develop non-standard custom reports by integrating data from the Enterprise Resource Planning system (e.g., SAP S/4HANA, Ariba, SAP Analytics Cloud) and other enterprise systems, using cloud-native analytics platforms (e.g., Azure Data Factory, Snowflake, Databricks), and deliver outputs to end users (e.g., Power BI) or downstream systems.
• Collaborate with business users and technical/data engineering teams to enhance the enterprise analytics platform, tools, and reusable assets.
• Track, validate, and improve the performance of analytical solutions delivered.
• Provide operational support and maintenance for the data and analytics infrastructure platform.
• Collaborate with COE members to advance analytics capabilities, and drive adoption of best practices and emerging techniques.
• Curate, develop, and deliver training sessions/workshops to build data analytics/science knowledge and skills across the organization.
• Perform any other related duties to support departmental or organizational goals as required.

Job Requirements

• Bachelor's degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or related discipline; relevant technical certifications are an advantage.
• Minimum 10 years of experience in designing and delivering advanced analytics or data science solutions to address business challenges.
• Strong familiarity with analytics and/or machine learning platforms, including how they integrate with upstream and downstream data and production systems.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R

ScienTec Consulting Pte Ltd - 11C5781