336 Analytics jobs in Singapore
Head of Data Science & Analytics
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Hytech is a leading management consulting firm headquartered in Australia, we specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, and middle and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.
The Role
We’re looking for a Head of Data Science & Analytics to lead our data vision, transforming complex datasets into actionable insights that power decisions, fuel product innovation, and drive growth. If you thrive in fast-paced environments and have deep experience in trading platforms or crypto ecosystems, this role is for you.
Key Responsibilities
- Lead and scale a global data team (data scientists, analysts, and data engineers)
- Define the company’s data strategy across analytics, machine learning, and real-time intelligence
- Build predictive models for user behavior, market activity, fraud detection, and performance optimization
- Champion data governance, quality, and infrastructure in collaboration with engineering leads
What We’re Looking For
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field
- 8+ years in data science/analytics, with 3+ years in leadership roles. Proven experience in fintech, trading platforms, or crypto exchanges preferred
- Deep expertise in predictive modeling, machine learning, and large-scale analytics
- Proficiency in SQL, Python/R, and modern data platforms (e.g., Snowflake, BigQuery, Airflow)
- Experience working with real-time data streams and high-volume transactional environments
- Strategic mindset with the ability to balance hands-on work and leadership
- Strong communication skills in both English and Chinese to influence across product, tech, and executive teams across different countries.
Why Join Us
- Play a key role in shaping the future of a high-growth Fintech company
- Work with cutting-edge technologies in a data-first culture
- Collaborate with global talent across tech, product, and operations
- Competitive compensation, equity package, and flexible work options
- Opportunity to build and lead one of the most strategic teams in the company
- Seniority level Director
- Employment type Full-time
- Job function Analyst, Strategy/Planning, and Information Technology
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Manager HPC Resource Management (PDB), NSCC Senior Data Science Manager, Product Analytics Postdoc of Computer Science: Geometric models for non-diffeomorphic shape evolution and shape models in plant science, Department of Computer Science, Faculty of Science, University of CopenhagenPioneer, West Region, Singapore 2 months ago
Lead Data Scientist/Machine Learning Engineer (Singapore based) Manager/ Deputy Manager, Data Analytics & Planning Senior Data Scientist, Conversational AI (GrabSupport) Engineering Manager (Machine Learning) - AICS Healthcare AI Solutions Director, Data Science and Innovation, CIB Senior Manager, Performance Management & Actuarial Engagement Manager, Technology Consulting, Data & Analytics Senior Business Intelligence Manager, Risk Lead AI Data Scientist – Computer Vision Assistant Manager (Revenue Assurance) - Based in Malaysia Senior Manager/Manager, Loyalty Data & Analytics Manager, Data Scientist, Group Digital and Data GenAI Data Engineer/Scientist (Financial Services), Manager/Senior Consultant, Technology ConsultingWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSenior Assistant Manager (Data Science & Analytics)
Posted 10 days ago
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About The Role
- Design, develop, and enhance user-facing features of the organisation's Generative AI applications, with a strong focus on improving user experience and usability.
- As a full-stack developer, you will not only work on front-end applications but also troubleshoot, optimize, and enhance backend functionalities.
- Effectively communicate with stakeholders and technical peers by understanding, prioritizing, and negotiating requirements.
What We Are Looking For
- A Bachelors degree in Computer Science, Engineering, or a related field, combined with at least 2 years of experience in developing both client-side and server-side applications.
- Preferred proficiency and practical experience in HTML, CSS, JavaScript.
- Preferred proficiency in Python for backend application.
- Knowledge and experience in any of the modern web frameworks and technologies such as Node.js, ReactJS, Remix and WebSocket will be an advantage.
- Familiarity with development tools like Git or similar for version control and collaboration.
- Demonstrated understanding and experience in building and consuming RESTful APIs.
- Strong knowledge of relational databases and database schema design.
- A good understanding of container technology, cloud deployment, experience in Kubernetes will be plus.
- A passion for solving real customer problems through the development of interactive web applications.
Working Location
- Public Healthcare Facilities
Who We Are
PeopleSolve is an international search firm recruiting experienced and qualified nurses and healthcare professionals from around the world. Our program is specifically designed to help Singapore & internationally educated nurses and healthcare professionals succeed permanently in our strategic partners healthcare organizations in Singapore and beyond.
Since our beginning in 2021, we have helped 6,000 + nurses and healthcare professionals, both full time and part time, to secure placements in key healthcare locations including hospitals, clinics, community care centers, testing and vaccination centers.
At PeopleSolve, we specialize in recruitment and outsourcing solutions for the healthcare industry.
Cyrus Thong
Registration No.: R24122254
PeopleSolve Pte Ltd
EA Licence No.: 21C0695
Compensation Analytics Specialist / data analysis
Posted 2 days ago
Job Viewed
Job Description
Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.
Responsibilities
- Analyze compensation data regularly to ensure competitive and equitable pay.
- Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
- Maintain detailed payroll and compensation reports for regulatory and leadership needs.
- Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
- Oversee HR systems to maintain data integrity for payroll and employee records.
Requirements
- Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
- Proficient in data analysis and generating accurate reports with high attention to detail.
Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.
Email:
Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R23115141 (Tan Su Yee)
Compensation Analytics Specialist / data analysis
Posted 4 days ago
Job Viewed
Job Description
Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.
Responsibilities
- Analyze compensation data regularly to ensure competitive and equitable pay.
- Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
- Maintain detailed payroll and compensation reports for regulatory and leadership needs.
- Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
- Oversee HR systems to maintain data integrity for payroll and employee records.
Requirements
- Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
- Proficient in data analysis and generating accurate reports with high attention to detail.
Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.
Email:
Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R23115141 (Tan Su Yee)
Compensation Analytics Specialist / data analysis & payroll
Posted 2 days ago
Job Viewed
Job Description
Due to their current expansion plan, they are looking for a People Analytics & Compensation Specialist to join their team, in hopes of developing the current high performing team. They are located in the Central.
Responsibilities
- Analyze compensation data regularly to ensure competitive and equitable pay.
- Manage end-to-end payroll processing with accuracy, timeliness, and regulatory compliance.
- Maintain detailed payroll and compensation reports for regulatory and leadership needs.
- Act as the main contact for payroll and HRIS queries, ensuring excellent employee support.
- Oversee HR systems to maintain data integrity for payroll and employee records.
Requirements
- Strong knowledge of payroll systems, HRIS platforms, and/or compensation benchmarking tools.
- Proficient in data analysis and generating accurate reports with high attention to detail.
Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.
We regret that only shortlisted candidate will be notified.
Email:
Recruitpedia Pte. Ltd.
EA License No. 19C9682
EA Reg. No. R23115141 (Tan Su Yee)
Analytics Engineer
Posted today
Job Viewed
Job Description
Direct message the job poster from Argyll Scott
Hiring the best within Software EngineeringWe're hiring an Analytics Engineer to join our data team, working primarily within a DOMO environment . This hybrid role is 60-70% analytics-focused and 30-40% data engineering , responsible for transforming raw data into trusted datasets and building insightful dashboards that drive decision-making across the business.
Key Responsibilities- Develop data models and dashboards in DOMO to support business analytics needs.
- Build and maintain ETL/ELT pipelines to ensure clean, scalable data flows.
- Collaborate with stakeholders to understand data requirements and deliver actionable insights.
- Ensure data quality, consistency, and documentation across systems.
- Promote best practices in data governance, version control, and model testing.
- 2-5 years of experience in analytics engineering, BI, or data roles.
- Strong SQL skills and experience with DOMO , dbt , and modern data warehouses (e.g., BigQuery, Snowflake).
- Familiarity with ETL/ELT tools and version control (e.g., Git).
- Strong business acumen, communication, and problem-solving skills.
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.
Seniority level- Mid-Senior level
- Full-time
- Information Technology
- Consumer Services
Referrals increase your chances of interviewing at Argyll Scott by 2x.
Get notified about new Data Engineer jobs in Singapore, Singapore .
#J-18808-LjbffrAnalytics Engineer
Posted today
Job Viewed
Job Description
We’re hiring an Analytics Engineer to join our data team, working primarily within a DOMO environment . This hybrid role is 60–70% analytics-focused and 30–40% data engineering , responsible for transforming raw data into trusted datasets and building insightful dashboards that drive decision-making across the business.
Key ResponsibilitiesDevelop data models and dashboards in DOMO to support business analytics needs.
Build and maintain ETL/ELT pipelines to ensure clean, scalable data flows.
Collaborate with stakeholders to understand data requirements and deliver actionable insights.
Ensure data quality, consistency, and documentation across systems.
Promote best practices in data governance, version control, and model testing.
2–5 years of experience in analytics engineering, BI, or data roles.
Strong SQL skills and experience with DOMO , dbt , and modern data warehouses (e.g., BigQuery, Snowflake).
Familiarity with ETL/ELT tools and version control (e.g., Git).
Strong business acumen, communication, and problem-solving skills.
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.
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Analytics Engineer
Posted today
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Job Description
- User Behavior Data Governance: Design, implement, develop and maintain scalable governance frameworks to ensure the accuracy, consistency, and integrity of user-event data. Collaborate cross-functionally to define tracking strategies, conduct audits, and enforce best practices
- Internal Data Tool Development: Build, test, and deploy internal data tools and dashboards using JavaScript or Python . Develop automated data pipelines, user-friendly analytics interfaces, and self-service solutions that empower business teams
- Competitive Intelligence & Data Scraping: Architect and maintain automated web-scraping systems to gather competitor insights—such as pricing, feature sets, and market trends. Ensure solutions are efficient, robust, and compliant with legal and ethical guidelines.
- Machine Learning & Advanced Analytics: Apply statistical methods or machine learning models to unlock business value—such as forecasting user behavior, predicting churn, or optimizing product features.
- Expert-level SQL and strong Python or JavaScript abilities for data transformation and tool development
- Proven experience implementing data governance or event instrumentation processes (e.g., Segment, GA4, Mixpanel)
- Data Pipeline & ETL/ELT Expertise: Track record designing and maintaining data pipelines using frameworks like dbt, Airflow, Talend, or similar
- Web Scraping Competency: Comfortable with scraping technologies and libraries, and adept at orchestrating automated scraping workflows.
- Analytical & Problem-Solving Skills: Demonstrated ability to break down complex problems, translate stakeholder needs, and produce clean, documented data solutions .
- Collaboration & Communication: Excellent at bridging terminology between technical and business stakeholders. Clear, concise in written and verbal communication
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau)
- Familiarity with software development workflows: Git, code reviews, modular design, CI/CD .
- Hands-on knowledge of machine learning libraries (scikit-learn, TensorFlow/PyTorch).
- Front-end development experience (React, Vue, Node.js ) to build polished internal tools.
- Awareness of data privacy, legal compliance, and ethical considerations in scraping and data governance.
Preferred (Nice-to-Have) Qualifications
Analytics Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- User Behavior Data Governance: Design, implement, develop and maintain scalable governance frameworks to ensure the accuracy, consistency, and integrity of user-event data. Collaborate cross-functionally to define tracking strategies, conduct audits, and enforce best practices
- Internal Data Tool Development: Build, test, and deploy internal data tools and dashboards usingJavaScript orPython . Develop automated data pipelines, user-friendly analytics interfaces, and self-service solutions that empower business teams
- Competitive Intelligence & Data Scraping: Architect and maintain automated web-scraping systems to gather competitor insights—such as pricing, feature sets, and market trends. Ensure solutions are efficient, robust, and compliant with legal and ethical guidelines.
- Machine Learning & Advanced Analytics: Apply statistical methods or machine learning models to unlock business value—such as forecasting user behavior, predicting churn, or optimizing product features.
- Expert-level SQL and strong Python or JavaScript abilities for data transformation and tool development
- Proven experience implementing data governance or event instrumentation processes (e.g., Segment, GA4, Mixpanel)
- Data Pipeline & ETL/ELT Expertise: Track record designing and maintaining data pipelines using frameworks like dbt, Airflow, Talend, or similar
- Web Scraping Competency: Comfortable with scraping technologies and libraries, and adept at orchestrating automated scraping workflows.
- Analytical & Problem-Solving Skills: Demonstrated ability to break down complex problems, translate stakeholder needs, and produce clean, documented data solutions .
- Collaboration & Communication: Excellent at bridging terminology between technical and business stakeholders. Clear, concise in written and verbal communication
Preferred (Nice-to-Have) Qualifications
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau)
- Familiarity with software development workflows: Git, code reviews, modular design, CI/CD .
- Hands-on knowledge of machine learning libraries (scikit-learn, TensorFlow/PyTorch).
- Front-end development experience (React, Vue, Node.js ) to build polished internal tools.
- Awareness of data privacy, legal compliance, and ethical considerations in scraping and data governance.
Marketing Analytics
Posted today
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Job Description
Collect, clean, and analyse marketing data from various sources.
Evaluate campaign effectiveness and recommend optimizations.
Conduct customer and competitor analysis for insights.
Create and maintain marketing dashboards and reports.
Design and analyse A/B tests for marketing changes.
Map customer touchpoints to improve the experience.
Develop predictive models for marketing trends.
Stay updated on marketing analytics tools and trends.
Document analysis methodologies and findings.
Willingness to learn
Initiative-driven to get tasks done effectively and efficiently
Creative problem-solving skills
Eager and passionate to learn more about the industry and develop their understanding of different fields
Bold and willing to take initiative to think outside of the box to ideate
Good time management and organisational habits
REQUIREMENTSAnalytical skills
Creativity
Effective communication, organisational skills
Design skills would be a big plus
QUALIFICATIONSPrevious internship experience in Data Analytics, Computer Science or other related fields is an advantage
Basic competency in PowerBI for data visualisation and reporting
Basic competency in one or more additional scripting or statistical programming languages (e.g. SQL, Python, Pandas, R, etc.) for data manipulation
A highly effective communicator with the ability to convey complicated analytical conclusions to technical and non-technical audiences
Local and International students are welcome to apply!
WORK WEEKWorking hours: 40 hours a week
How to apply? Submit your application to: #J-18808-Ljbffr