Total 10 data entry job vacancies in Singapore Polytechnic

We are seeking a dynamic Data Analyst to be part of our mission to drive impactful decisions across our 22 markets. Working within our Analytics team, you'll support the team by providing high-quality insights, maintaining data consistency, and collaborating with internal teams to assist in decision-making. This is a foundational role offering the opportunity to grow technical skills, gain exposure to high-impact projects, and learn from experienced data professionals.

• Data Preparation & Analysis: Supporting data collection, cleansing, and preparation to ensure quality, reliability, and consistency. Conducting basic analyses using SQL and Excel, and assisting senior analysts with larger datasets.
• Dashboard Development: Creating and maintaining dashboards (e.g., in Looker or Tableau) for internal reporting needs. Ensuring they are user-friendly and meeting the requirements of key stakeholders.
• Reporting & Ad Hoc Analysis: Assisting in generating recurring reports and fulfilling ad-hoc analysis requests from internal stakeholders to support strategic decisions.
• Data Quality & Tracking: Monitoring data quality and participating in QA processes to ensure consistency across all reporting metrics.
• Collaboration: Working closely with senior analysts and team leads, learning from their approach to data modeling, visualization, and storytelling.
• Stakeholder Management: Partnering with business stakeholders across the organization to understand their analytical needs, proposing data solutions, and communicating insights in an actionable manner.

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

The Data Analyst is responsible for involves implementation of best practices, process improvements and developing monitoring dashboards for our Aircon Team.

Responsibilities:

• Extract, clean and present data in an understandable manner to the leads in the AC team.
• Interpret and analyze trends, patterns, and anomalies within the data to provide recommendations for business improvements related to air conditioning operations.
• Generate detailed reports and dashboards to present insights and support decision-making processes.
• Assist in identifying and addressing suggest improvements to address quality-related issues
• Work closely with business stakeholders to understand data needs and define analytical requirements.
• Collate and Maintain a repository of SOP and training materials for the department
• Contribute to team projects aimed at improving various aspects of operations
• To establish and maintain a relational database and recommend best practices for data storage, management and its upkeep.

• Diploma or Bachelor's Degree in Data Analytics/Science or a related field
• Proficiency in data analysis tools such as Python, SQL, and Excel
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI) and ability to present data insights effectively.
• Excellent problem-solving skills and ability to work with large and complex datasets.
• Strong communication skills, with the ability to present technical findings to non-technical stakeholders.
  

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit

We’re searching for a Data Center IT Operator to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, embodying excellence, and bringing people and technology together like never before, we would love to have a conversation with you!

What we seek to accomplish together:

• Perform shift duty to support 24x7 DC Operations stand-by duties for emergency.
• Assist to oversee the IT equipment hardware inventory on individual rack inside the DC
• On-site Management of works conducted within the Data Centre such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, infrastructure & System maintenance, on-site/off-site standby activities etc
• Coordinate preventive maintenance for Data Centre downstream infrastructure which includes Uninterruptible Power Suppler (UPS) systems, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.
• Operate Electronic Visitation Management System (Update Authorizer and customer access request accurately and promptly).
• Remote Hand Support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP).
• Handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.
• Perform Event Monitoring for Data Centre Facilities infrastructure to ensure they are functioning optimally (e.g. UPS, power, temperature control, humidity, water detection sensor, etc.)
• Perform event monitoring for IT Systems and Network infrastructure.
• Perform incident escalation. Ensure incidents are responded and attended to. To redirect for 2nd or 3rd Level resolution base on criticality, impact and customer Service Level Agreement (SLA).
• Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

We are seeking a dynamic Data Engineer (Python) to join our growing global team, Recommendations domain to work on exciting projects like implementation of our own machine learning framework, integrating a feature store for supporting real-time data science requirements and the creation of complex data ingestion pipelines to support this!

Join us in creating an engaging and personalized shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work will have a lasting impact on customer satisfaction and loyalty across diverse markets.

Responsibilities

• Ingesting first and third-party data sources into our databases.
• Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
• Collaborating with cross-functional teams to deliver high-quality data assets.
• Deploying and maintaining ML models on our deployment framework.
• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.

What a Data Science Manager does at Visa:

The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value. 

Why this is important to Visa

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.
 

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Assurity Trusted Solutions (ATS) is a wholly owned subsidiary of the Government Technology Agency (GovTech). As a Trusted Partner over the last decade, ATS offers a comprehensive suite of products and services ranging from infrastructure and operational services, authentication services, governance and assurance services as well as managed processes. In a dynamic digital and cyber landscape, where trust & collaboration are key, ATS continues to drive mutually beneficial business outcomes through collaboration with GovTech, government agencies and commercial partners to mitigate cyber risks and bolster security postures.

We are looking for a Data Engineer to join us! If you're being selected, you'll be hired as a contract employee.

As a Data Engineer, a brief summary of your job responsibility:

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and realtime data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

To succeed in this role, you will ideally have:

• Experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb  etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.
• Proficient in creating comprehensive data dictionaries to ensure clear and consistent data definitions.
• Skilled in designing Entity-Relationship Diagrams (ERDs) to visually represent data models and relationships.
• Capable of collaborating with stakeholders to understand business processes and develop effective data solutions.
• Familiar with BI Tools such as Tableau
• Familiar with Docker containers

Join us and discover a meaningful and exciting career with Assurity Trusted Solutions!

The remuneration package will commensurate with your qualifications and experience.

Interested applicants, please click "Apply Now".

We thank you for your interest and please note that only shortlisted candidates will be notified.

By submitting your application, you agree that your personal data may be collected, used and disclosed by Assurity Trusted Solutions Pte. Ltd. (ATS), GovTech and their service providers and agents in accordance with ATS’s privacy statement which can be found at: https://www.assurity.sg/privacy.html or such other successor site.

• A wholly-owned subsidiary of GovTech.
• We promote a learning culture and encourage you to grow and learn.
• A competency framework is in place to help you grow your career with us.
• Contract Staff enjoys the same benefits as Permanent Employees.
  

Position Overview: Join our dynamic team as a Consultant/Senior Consultant in Data & AI, where you'll spearhead transformative initiatives within leading financial institutions. This role offers a unique opportunity to drive innovation across technology, data, and AI, shaping the landscape of client projects and organizational strategies.

Key Responsibilities:

• Collaborate with managers and key stakeholders to ensure the successful execution of client initiatives, with a focus on conceptualizing, designing, and implementing data-driven solutions.
• Leverage your expertise to innovate, build, and maintain robust data solutions that address business challenges, including reviewing data requirements and ensuring master data integrity.
• Design and maintain robust data architecture to support organizational data needs. Ensure alignment of data models and architectures with business requirements.
• Identify areas for data quality enhancement and implement strategies to resolve data quality issues, working closely with program/project managers and subject matter experts (SMEs).
• Design and implement enterprise data governance strategies, implement data security measures including encryption, masking, and authorization methods, to safeguard sensitive information.
• Provide valuable data insights to business and functional teams, recommending enhancements to data consolidation and streamlining data collection and reporting processes through automation.

The data team has grown from 1 Business Intelligence Analyst to 4 members in the past year. The team's vision, mission, and scope have expanded from on-demand reporting to high-scale data management platform engineering. The resulting systems will be the cornerstone of pushing Flowdesk activity to the next level.

It will enable the development of in-house data products and improve the performances of both tech and trading daily operations.

Now, we are seeking a Business Analyst – Trading Data Specialist to bridge the gap between trading teams and data operations.

In this role, you will focus on producing, reconciling, and ensuring the accuracy of critical trading data. Your insights and problem-solving skills will directly contribute to the efficiency and performance of our trading operations.

Your mission will be to

• Collaborate with trading teams to understand data requirements and ensure timely delivery of actionable insights.
• Design and implement processes to generate, validate, and reconcile trading data across systems.
• Investigate and resolve data discrepancies, ensuring accuracy and consistency in reports and dashboards.
• Analyse trading performance metrics, identifying trends, anomalies, and opportunities for improvement.
• Develop and maintain dashboards and tools to provide traders with real-time data insights.
• Create detailed documentation for data workflows, reconciliation processes, and reporting standards.
• Partner with stakeholders to define and prioritize data-related projects and improvements.
• Identify inefficiencies in data production and reconciliation processes, proposing and implementing improvements.
• Ensure compliance with industry standards and best practices for data management and reporting.
• Support the automation of repetitive tasks to streamline data workflows.

Background and experience

• Fluency in English (French is a plus).
• Strong understanding of trading operations and financial instruments (crypto, derivatives, spot …).
• Proven experience in data analysis, reconciliation, and reporting within a trading or financial environment.
• Proficiency in data tools and technologies, such as SQL, Dbt, and Looker.
• Familiarity with scripting languages (e.g., Python) for data processing is a plus.
• Experience with databases and data pipelines; knowledge of data warehousing solutions is advantageous.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills, with the ability to present complex data to non-technical stakeholders.

• International environment (English is the main language)
• An allowance of 400 SGD / per month / per person in the household
• Top-of-the-range equipment Macbook, keyboard, laptop stand, 4K monitor & headphones
• Team events and offsites
• Coming soon, gym memberships, international mobility & lot of other cool benefits!

Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

Here's what you can expect if you apply

1. HR call (30') Get to know Flowdesk and discuss your experience.
2. Technical Interview (45') with the Lead Data
3. Technical meeting (60') with the Head of Infrastructure and Data
4. Culture Interview with HR (45')
   

We focus on conversations, not trick questions. These discussions will help you understand how Flowdesk operates and allow you to share your journey and what you’re looking for in your next role.

So... Ready to Join Us?

If you’re excited by the opportunity to shape crypto's future and directly impact our cutting-edge infrastructure, we’d love to hear from you! Apply today and let’s explore how we can build great things together.