Total 4,212 data entry clerk job vacancies in Singapore

About the Role

We are seeking a strategic and hands-on analytics leader to drive the end-to-end delivery of data insights that inform business decisions and organisational strategy. This role combines leadership, advanced analytics, and stakeholder engagement to unlock the value of data and translate it into meaningful outcomes.

You will lead a high-performing team to turn complex data into clear, actionable insights, while partnering with internal and external stakeholders to strengthen data-driven decision-making.

Key Responsibilities

Analytics Leadership & Delivery

• Lead the compilation, analysis and reporting of key performance indicators, ensuring timely and accurate insights delivery
• Translate complex datasets into actionable recommendations for business and industry stakeholders
• Oversee data cleaning, ingestion, transformation and analysis across multiple data sources

Strategy & Insight Generation

• Design and drive analytics strategies using both quantitative and qualitative methodologies
• Apply statistical techniques, forecasting models and data visualisation tools to generate insights
• Identify trends and emerging issues to guide strategic decision-making

Stakeholder Management & Collaboration

• Partner with cross-functional teams, including product, engineering and business stakeholders
• Coordinate with Whole-of-Government (WOG) agencies and external partners on data initiatives
• Provide advisory on data, analytics and economic impact assessments

Operations & Governance

• Oversee reporting cycles, publications and stakeholder data requests
• Ensure high standards of data governance, quality and integrity
• Manage vendors, contracts and end-to-end data operations

Team Leadership

• Lead, mentor and develop a high-performing analytics team
• Foster a culture of innovation, collaboration and continuous learning
• Guide the team in aligning analytics outputs with organisational priorities

What We’re Looking For

Experience & Expertise

• Minimum 8 years’ experience in data analytics, including at least 3 years in a leadership role
• Strong foundation in analytics, statistics, economics, applied mathematics or related disciplines
• Proven experience in data wrangling, modelling, visualisation and insight generation
• Familiarity with statistical modelling, forecasting and market research methodologies

Technical Skills

• Proficiency in analytics tools such as Python, R and SQL
• Experience working with large, complex datasets and multiple data sources
• Ability to integrate analytics outputs into dashboards or platforms

Business & Communication

• Strong ability to translate data into business value and strategic recommendations
• Confident communicator with experience engaging senior stakeholders
• Proven ability to influence and collaborate across diverse teams

Personal Attributes

• Strong analytical thinking with attention to detail
• Self-driven and adaptable in fast-paced environments
• Effective project and stakeholder management skills
• Curious mindset with a passion for learning and innovation

Preferred (but not essential)

• Experience in client-side research or applied analytics environments
• Knowledge of economic impact analysis or cost-benefit assessment

Why Join Us

• Shape strategic decisions through impactful data insights
• Lead meaningful analytics work with real-world outcomes
• Work with diverse stakeholders across industries and sectors
• Grow and develop a high-performing analytics team

"Interested applicants, please email your resume to jacky.wong@persolapac.com or WhatsApp+65 9118 4028 for a confidential discussion about the role."

We regret to inform that only shortlisted candidates will be notified.

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EA License No: 01C4934 PERSOL Singapore Pte Ltd

EA Personnel No: R1107106

Wong Chee Ann Jacky

Responsibilities:

• Manage and oversee structured cabling projects, particularly in data center environments
• Coordinate with clients, contractors, and internal teams to ensure smooth project execution
• Plan, schedule, and monitor project progress to meet deadlines and budget requirements
• Review technical drawings, cable layouts, and design specifications
• Ensure installation works (copper & fiber optic cabling) meet industry standards and client requirements
• Conduct site inspections, testing, and commissioning activities
• Troubleshoot and resolve technical issues during project execution
• Prepare project documentation, reports, and handover materials
• Ensure compliance with safety regulations and company policies

Requirements:

• Diploma or Degree in Electrical Engineering, or related field
• Minimum 2–5 years of experience in structured cabling or data center projects
• Strong knowledge of structured cabling systems (e.g., Cat6/6A, fiber optic)
• Experience in data center infrastructure (rack setup, patching, containment, etc.)

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Tan Sin Yong (Stella)

EA Personnel Reg No: R24124127

• Lead and manage CSA construction activities
• Coordinate with design, engineering, procurement, and other construction disciplines to ensure seamless project execution.
• Review and validate CSA design documents, drawings, and specifications.
• Oversee site preparation, foundation, structural steel, concrete, architectural finishes, and cleanroom construction.
• Ensure compliance with local building codes, safety regulations, and environmental standards.
• Manage subcontractors and vendors, including scheduling, performance monitoring, and issue resolution.
• Conduct regular site inspections and quality audits.
• Track progress, manage change orders, and report on project status to stakeholders.
• Collaborate with internal teams and external consultants to resolve technical and construction challenges.
• Drive continuous improvement in construction methods, safety practices, and cost efficiency.

Responsibilities

• Design and develop scalable backend services integrating with external vendor systems via RESTful APIs
• Implement robust data ingestion services including pagination and incremental/time-window retrieval
• Handle API error handling, retries, and idempotent processing to ensure reliable integrations
• Build and maintain data pipelines for processing large volumes of transactional and event data
• Perform data transformation, validation, and enrichment for downstream systems
• Support batch and near real-time data processing workflows
• Develop and deploy applications using Microsoft Azure services such as Azure Functions, App Services, Storage, Key Vault, APIM, and VNET
• Design scalable, resilient, and highly available cloud-native solutions
• Implement observability practices including logging, monitoring, and alerting
• Ensure data accuracy, consistency, and reconciliation across multiple data sources
• Support auditability and traceability of data flows for regulatory requirements
• Collaborate with external vendors on API contracts and integration designs
• Deliver high-quality, maintainable, and reusable software solutions
• Contribute to engineering standards, best practices, and continuous improvement initiatives
• Support CI/CD pipelines, automated testing, and continuous delivery practices

Requirements

Core Technical Skills

• Strong proficiency in Python (preferred) or backend languages such as Java or Node.js
• Strong SQL proficiency including PostgreSQL, MySQL, or T-SQL
• Solid experience building backend services and API integrations
• Experience working with RESTful APIs and JSON payloads
• Knowledge of secure integration patterns including API keys, TLS, certificates, and PGP

Good understanding of:

• Pagination, filtering, and incremental data retrieval
  Idempotency, retries, and distributed system failure handling
• Experience with data visualisation tools such as Power BI, including connectivity and configuration

Data Engineering & Processing

• Experience building batch or streaming data pipelines
• Familiarity with data transformation, validation, and data modelling
• Experience handling large datasets and high-volume ingestion systems
• Understanding of data reconciliation and audit requirements is an advantage

Databases

• Experience with relational databases such as PostgreSQL or MS SQL
• Knowledge of query optimisation and large-scale data handling

Cloud & DevOps

• Experience with cloud platforms, preferably Microsoft Azure
• Experience setting up and managing CI/CD pipelines using GitLab CI/CD or similar tools
• Familiarity with Docker/containerisation is an advantage

Observability & Reliability

• Experience implementing logging, monitoring, metrics, and alerting solutions
• Understanding of system reliability and fault-tolerant design principles

JOB DESCRIPTION

• Own data science problems end-to-end: from framing the business question, through modelling, to deployment and measuring real-world impact.
• Develop and deploy machine learning models for prediction, classification, forecasting, and anomaly detection.
• Apply LLMs and generative AI where they're the right tool — prompt pipelines, RAG, and API integrations with foundation models.
• Perform exploratory analysis and communicate insights clearly to non-technical stakeholders — your findings should drive decisions
• Partner with our data analyst and IIoT connectivity team to define the data requirements your models need
• Work with PM and IT peers to translate business problems into AI solutions

JOB REQUIREMENT

• Bachelor’s degree in Data Science, Computer Science, or a related field (or equivalent practical experience).
• At least 2 years of experience in Data Science or ML engineering, with models or data products that reached production.
• Strong Python and SQL, plus solid fundamentals in statistics and the standard ML toolkit (pandas, scikit-learn, XGBoost or similar).
• Hands-on exposure to LLMs: prompt engineering, RAG, or integrating model APIs (e.g. Azure OpenAI, or open-source models).
• Experience in the manufacturing industry — familiarity with industrial data (sensors, MES/ERP systems) or supply chain management is a strong advantage.

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills