Total 996 data entry job vacancies in Information Technology category

• Extracting, analysing, and presenting data to support the Commercial team in meetings with key partners, including suppliers, buyers, and airlines.
• Involve in commercial negotiations, providing insights to drive business growth and optimize partner relationships.

Data Analysis & Interpretation:


• Analyze numerical data to identify trends, performance metrics, pricing insights, revenue opportunities

Commercial Support:


• Prepare and present detailed reports, dashboards, and summaries to the Commercial team ahead of and during meetings with partners to aid negotiation, partnership growth, and contract renewals.

Partner Performance Monitoring:


• Track and evaluate supplier/buyer/airline performance against KPIs, SLA adherence, and market benchmarks, highlighting areas for improvement or expansion.

Collaboration:


• Work closely with cross-functional teams including Sales, Product, Finance, and Operations to ensure accuracy, consistency, and relevance of shared data.

Ad-hoc Analysis & Insights:


• Provide quick, ad-hoc data analysis to support urgent commercial decisions or address partner inquiries

Job Requirements

• Degree holder
• Mandarin speaking to communicate with Chinese stakeholders
• Experience working in the Travel sector
• Ability to translate complex data into clear, concise insights and presentations for non-technical stakeholders.
• Basic understanding of the travel industry, commercial partnerships, and airline/supplier dynamics is a plus
• Comfortable presenting data and business insights in client-facing scenarios.
• 5 days work (Mon - Fri, 9am to 6pm) at Tanjong Pagar
• Salary $5000 - $7000

Interested applicants please send in your resume. Shortlisted candidates will be contacted very soon. Thank you.

Job Description:

• Specializing in data migration and system integration.
• The role involves designing, developing, and optimizing data migration solutions, ensuring seamless integration between business systems and technology platforms.
• Work closely with stakeholders to translate business requirements into scalable technical solutions.

Key Responsibilities:

• Design, develop, and maintain data migration scripts and workflows to support system implementations and upgrades.
• Develop and optimize SQL-based solutions for data extraction, transformation, and loading (ETL).
• Collaborate with business stakeholders to gather requirements and translate them into technical specifications.
• Perform data analysis, validation, and reconciliation to ensure data accuracy and integrity.
• Support system integration activities between SAP and other enterprise applications.
• Troubleshoot and debug issues related to data migration and system performance.
• Contribute to system design and propose improvements for data architecture and processing efficiency.
• Work closely with cross-functional teams to support deployment and implementation activities.
• Ensure documentation of technical designs, data mapping, and migration processes.

Requirements:

• Experience in data migration and data conversion projects.
• Strong proficiency in SQL scripting and data manipulation.
• Exposure to SAP debugging and data structures.
• Basic understanding of software development lifecycle (SDLC).
• Experience in system integration and data flow design.
• Strong analytical and problem-solving skills.
• Ability to engage stakeholders and translate business needs into technical solutions.
• Experience in healthcare systems is an added advantage.

Nice to Have:

• Experience with ETL tools or data integration platforms.
• Knowledge of data architecture and database design principles.
• Familiarity with cloud or enterprise systems.

Responsibilities:

• End-to-End Project Delivery: Lead data-driven initiatives from initiation to closure, including the implementation of Data Warehouses, Data Lakes, and visualization platforms.
• Stakeholder Management: Bridge the gap between technical teams (data scientists, AI engineers) and business units (actuaries, underwriters, and claims specialists).
• Data Governance & Compliance: Ensure all data projects adhere to strict industry regulations (e.g., GDPR, financial service standards) and maintain high data quality and security.
• Strategic Insights: Coordinate with data teams to leverage big data for actionable insights that drive underwriting efficiency and process optimization.
• Technical Planning: Define project scope, manage RAID logs (Risks, Assumptions, Issues, Dependencies), and oversee technical specifications and system workflows. 

Requirement:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Business Management.
• Certifications: PMP (Project Management Professional) or Agile/Scrum certifications are highly preferred.
• Technical Stack: Proficiency in languages like SQL, Python, or R and familiarity with tools such as Informatica, AWS, Azure, Tableau, or Power BI.
• Industry Knowledge: Understanding of insurance processes like Life or General Insurance underwriting, claims management, and policy.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

MRI-Simmons is seeking Senior Business Analyst with analyzing complex business processes, identifying areas for improvement, and developing strategic recommendations by leveraging data insights to drive organizational goals. The ideal candidate works closely with product managers and stakeholders across various departments to understand business needs, design solutions, and ensure successful implementation of new systems or processes, typically managing more complex projects and providing guidance to developers and other analysts.

Roles and Responsibilities:

• Business Needs Assessment: Conduct in-depth analysis of business operations, identifying pain points, inefficiencies, and opportunities for improvement across different departments. 
• Requirements Gathering: Elicit, document, and prioritize detailed business requirements from stakeholders, ensuring alignment with overall business objectives.
• Data Analysis: Utilize data analysis tools to extract meaningful insights from large datasets, identifying trends and patterns to inform decision-making.
• Solution Design: Develop comprehensive solutions, including process improvements, system enhancements, or new applications, considering cost-benefit analysis and feasibility.
• Stakeholder Management: Build strong relationships with key stakeholders, effective communication of analysis findings, recommendations, and project updates.
• Project Management: Lead and oversee business analysis activities on complex projects, ensuring timely delivery and adherence to project scope.
• Change Management: Facilitate the transition to new processes or systems, providing training and support to end-users.

We are seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI to design, develop, and deploy innovative AI solutions that drive measurable business impact. This role requires a combination of strong data science fundamentals, hands-on experience with LLMs, NLP, and generative modeling, and a proven ability to build scalable, production-ready systems.

As a key member of our Data Science & AI team, you will spearhead the development of advanced analytics and GenAI-driven solutions across multiple business functions, including:

• Product Assortment and Pricing Optimization
• Supply Chain Optimization
• Demand Forecasting
• Propensity, Loyalty & Customer Segmentation Models
• Recommendation Engines & Personalization
• Marketing Mix Modeling (MMM) & Media Investment Optimization (MIO)

You will apply Regression, Bayesian modeling, Classification, Time Series forecasting, Deep Learning, and Generative AI to power actionable predictions and insights — while expanding AI capabilities into:

• Computer Vision solutions such as object detection/recognition, product imagery analysis
• Image-to-Text modeling, document intelligence, OCR, and multi-modal LLM applications

Key Responsibilities:

• Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
• Develop robust predictive and optimization models using structured and unstructured data sources.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Partner with cross-functional teams to translate business requirements into scalable AI solutions.
• Drive model lifecycle management from research and experimentation through deployment and monitoring.
• Maintain high standards for model governance, explainability, performance, and ethical AI.
• Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.

We are seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI to design, develop, and deploy innovative AI solutions that drive measurable business impact. This role requires a combination of strong data science fundamentals, hands-on experience with LLMs, NLP, and generative modeling, and a proven ability to build scalable, production-ready systems.

As a key member of our Data Science & AI team, you will spearhead the development of advanced analytics and GenAI-driven solutions across multiple business functions, including:

• Product Assortment and Pricing Optimization
• Supply Chain Optimization
• Demand Forecasting
• Propensity, Loyalty & Customer Segmentation Models
• Recommendation Engines & Personalization
• Marketing Mix Modeling (MMM) & Media Investment Optimization (MIO)

You will apply Regression, Bayesian modeling, Classification, Time Series forecasting, Deep Learning, and Generative AI to power actionable predictions and insights — while expanding AI capabilities into:

• Computer Vision solutions such as object detection/recognition, product imagery analysis
• Image-to-Text modeling, document intelligence, OCR, and multi-modal LLM applications

Key Responsibilities:

• Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
• Develop robust predictive and optimization models using structured and unstructured data sources.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Partner with cross-functional teams to translate business requirements into scalable AI solutions.
• Drive model lifecycle management from research and experimentation through deployment and monitoring.
• Maintain high standards for model governance, explainability, performance, and ethical AI.
• Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.

We are seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI to design, develop, and deploy innovative AI solutions that drive measurable business impact. This role requires a combination of strong data science fundamentals, hands-on experience with LLMs, NLP, and generative modeling, and a proven ability to build scalable, production-ready systems.

As a key member of our Data Science & AI team, you will spearhead the development of advanced analytics and GenAI-driven solutions across multiple business functions, including:

• Product Assortment and Pricing Optimization
• Supply Chain Optimization
• Demand Forecasting
• Propensity, Loyalty & Customer Segmentation Models
• Recommendation Engines & Personalization
• Marketing Mix Modeling (MMM) & Media Investment Optimization (MIO)

You will apply Regression, Bayesian modeling, Classification, Time Series forecasting, Deep Learning, and Generative AI to power actionable predictions and insights — while expanding AI capabilities into:

• Computer Vision solutions such as object detection/recognition, product imagery analysis
• Image-to-Text modeling, document intelligence, OCR, and multi-modal LLM applications

Key Responsibilities:

• Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
• Develop robust predictive and optimization models using structured and unstructured data sources.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Partner with cross-functional teams to translate business requirements into scalable AI solutions.
• Drive model lifecycle management from research and experimentation through deployment and monitoring.
• Maintain high standards for model governance, explainability, performance, and ethical AI.
• Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.

Key Responsibilities

• Gather and translate business requirements into data deliverables.

• Perform statistical and performance-related analysis with validation checks.

• Develop dashboards/reports in Power BI or Qlik.

• Support ETL processes and manage data in Snowflake.

• Provide ad-hoc data pulls for various business units.

Requirements

• 2–4 years’ experience in BA, data operations, or analytics (financial services/fintech preferred).

• Skilled in SQL (Snowflake), Excel, Power BI/Qlik.

• Strong stakeholder management and documentation skills (Jira, Confluence).

• Knowledge of AWS services would be advantageous.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Job Duties

-Utilize SQL to extract, clean, and process large datasets from various databases, ensuring data accuracy for risk analysis and reporting.

-Support the development and iteration of credit risk models and anti-fraud rules using machine learning algorithms such as XGBoost, GBDT, and Logistic Regression.

-Analyze financial and transactional data to identify potential risk trends, abnormal fluctuations, and fraud patterns to support decision-making.

-Perform feature engineering and data exploration to identify key risk indicators that improve model predictive performance.

-Monitor the performance of risk models and automated rules in production, assisting in troubleshooting and system stability checks.

-Collaborate with cross-functional teams, including Data Engineers and Product Managers, to translate data findings into actionable risk strategies.

Requirements

-Bachelor’s Degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Financial Engineering.

-Solid proficiency in SQL is a must; comfortable with complex queries and data manipulation in environments like MySQL, Hive, or Oracle.

-Proficient in Python for data analysis, with experience using libraries such as Pandas, Scikit-learn, or Matplotlib.

-Basic understanding or academic exposure to predictive modeling, including credit scorecards, classification, or regression analysis.

-Strong logical thinking and numerical reasoning skills, with a keen eye for detail and data integrity. Familiarity with statistical tools or other programming languages (e.g., R, SAS) is an advantage.

-For Junior level: Open to fresh graduates or candidates with 1–2 years of relevant experience; academic or internship exposure to predictive modeling (e.g., credit scorecards or regression analysis) is preferred.

-For Mid-level: 3–5 years of professional experience in Fintech, Banking, or Risk Control with a proven track record of deploying models into production

Key Responsibilities

• Gather and translate business requirements into data deliverables.

• Perform statistical and performance-related analysis with validation checks.

• Develop dashboards/reports in Power BI or Qlik.

• Support ETL processes and manage data in Snowflake.

• Provide ad-hoc data pulls for various business units.

Requirements

• 2–4 years’ experience in BA, data operations, or analytics (financial services/fintech preferred).

• Skilled in SQL (Snowflake), Excel, Power BI/Qlik.

• Strong stakeholder management and documentation skills (Jira, Confluence).

• Knowledge of AWS services would be advantageous.

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted

Position: SAP Data Analyst / SAP Master Data Executive (1-Year Contract)

Job Description:

• Hands-on experience working with SAP

• Strong knowledge of SAP Master Data, including Material Master Data and Vendor Master Data

• Perform data analysis and validation to ensure data accuracy and integrity

• Proficient in Excel, including Power Query

• Ability to work independently with minimal supervision

• Apply critical thinking to interpret data and make sound recommendations based on analysis

Work Location: Tuas
Contract Duration: 1 year
Salary: up to 4k

Interested candidates, do submit your resume to: jocelynchan@recruitexpress.com.sg OR telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R1331820

The Data Governance Consultant will leverage Microsoft Purview’s Unified Catalog, Data Map, and Data Quality capabilities to ensure enterprise data assets are high-quality, compliant, and easily discoverable across multi-cloud and on‑premises environments. This role combines deep technical expertise in Purview with strong data analysis skills to assess, monitor, and continuously improve data ecosystems—enabling informed business decisions while mitigating privacy, security, and compliance risks.

Key Responsibilities

Implement Data Governance Frameworks

• Design and deploy Microsoft Purview-based governance solutions, including automated scanning, classification, and lineage tracking.
• Catalog and govern structured, semi-structured, and unstructured data assets across diverse data platforms.

Manage Data Quality Initiatives

• Define, configure, and maintain data quality rules within Purview’s Unified Catalog using no-code/low-code capabilities.
• Execute recurring data quality scans to generate quality scores and identify issues such as inconsistencies, inaccuracies, and missing data.

Monitor and Analyse Data Health

• Utilise Purview dashboards and insights to assess data quality metrics, conduct root cause analysis, and track performance trends.
• Collaborate with data owners and stewards to remediate issues and improve overall data reliability and trustworthiness.

Support Compliance and Risk Management

• Implement sensitivity labels, access controls, and governance policies within Purview.
• Ensure compliance with regulations such as GDPR, CCPA, and internal data governance standards.

Cross-Functional Collaboration

• Partner with data analysts, data engineers, and business stakeholders to embed Purview into data workflows.
• Provide enablement, training, and guidance to support self-service data discovery and governance adoption.

Reporting and Optimisation

• Develop and deliver reports on governance maturity, data quality metrics, and compliance outcomes.
• Continuously optimise Purview configurations to improve scalability, performance, and efficiency across large and complex data estates.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• Experience : 8 years
• (SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DBApache Spark Streaming or Apache Flink
• Kafka
• NOSQL databases - Cosmos DB, Document DB
• Spark,Dataframe API
• Hive (HQL)
• Scripting language – Shell or bash
• CI CD
• Experience with at least one Cloud Infra provider (Azure/AWS)
  

Good to have Skills :

• Certifications related to Data and Analytics

Responsibilities:

• Perform data extraction, cleaning, generate regular and ad-hoc reports to support in-depth analysis of the branch's operating trends, profitability, and other key performance indicators.

• Collaborate with cross-functional teams and departments to gather data requirements and provide analytical support.

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.

• Automate reporting processes to improve efficiency and accuracy.

• Contribute to the development and improvement of data processes and reporting frameworks.

• Support decision-making by translating data findings into practical recommendations.

• Other related duties.

Requirements:

• A recognized University Degree, preferably in Data Science, Data Analytics, Business Analytics, Statistics or related field;

• Minimum 5 years of relevant experience in data analytics;

• Strong analytical skills and good knowledge of the banking industry;

• Strong organizational and management skills with the ability to work independently.

• Strong analytical and problem solving skill, proficient in SAS, SQL, Python, R Programming, MS Excel VBA and BI tools;

• Proficiency in Chinese would be an added advantage as incumbent is required to understand Chinese documents from Head Office.