This Data Analyst role is critical for establishing robust data processes, maintaining data integrity, and supporting the company’s efforts toward leveraging high-quality data for decision-making and AI transformation. Key responsibilities include:

1. Creating Data Processes: Develop procedures for data entry, database integration, and sharing to standardize processes, prevent data duplication or corruption, and ensure long-term data preservation.
2. Protecting Data: Maintain data integrity by identifying and removing duplicates and imperfections, ensuring efficient database functionality. Assess data security risks and monitor usage to prevent breaches.
3. Managing Data Lineage: Track data origins and uses to facilitate issue resolution, ensuring accurate and reliable data.
4. Maintaining Data Quality: Use customer feedback to develop systems for high-quality data, providing actionable insights for better decision-making. Regularly report metrics, track issues, and make recommendations to management.

Key Responsibilities:

• Master Data Management:
  Oversee global master data lifecycle processes, including creation, validation, and deactivation for ERP and CRM systems.
  Develop and enforce data governance policies and procedures.
  Ensure data quality and integrity across systems.
• Process Improvement:
  Suggest or support process improvements and best practices in data management.
  Conduct regular data audits and quality assessments.
• Training and Support:
  Provide training and support to staff on data management practices.
  Resolve data-related issues and discrepancies within systems.
• Documentation:
  Maintain documentation for data management processes and policies.
  Translate business requirements into data modeling solutions and infrastructure.
• Data Operations:
  Responsible for data migration and standardization across the organization.
• Data Visualization and Reporting:
  Develop and maintain data visualizations and reports to support decision-making.
  Collaborate with stakeholders to define reporting needs and ensure alignment with business objectives.
  Utilize tools like Power BI to create dashboards and deliver insights in an accessible format.

Minimum Qualifications

• Education:
  Bachelor’s degree in Information Technology, Business Administration, or a related field.
• Experience:
  3-5 years of experience in master data management or a similar role.
  Proficiency in Microsoft SQL Server with advanced SQL query skills.
  Strong understanding of data architecture and governance principles.
• Skills:
  Proficiency in data management tools (e.g., MSSQL Server Management Studio, Power BI, Excel).
  Strong analytical and problem-solving abilities.
  Excellent communication and interpersonal skills.
  Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Are you looking to work with AI & RPA in a global organization committed to sustainability and innovation?

Don't look further and join Grundfos!

Job purpose:

To strategically lead the AI and automation delivery organization within CBS, driving the ideation, development, and implementation of the global CBS AI and RPA roadmap to enhance operational efficiencies, customer satisfaction, and competitive advantage globally, by operationalizing a new capability center in Singapore.

Key Accountabilities / Responsibilities

• Establish and operationalize a dedicated capability center in India for in-house AI development, and continuously lead and manage a highly motivated team. (20%)
• Establish and facilitate forums to engage and negotiate with senior management across CBS, cross-divisionally, and group functions to define and align AI initiatives and business objectives. (15%)
• Strategically formulate and deploy an AI and automation operating model, involving key stakeholders across CBS and Grundfos to foster innovation with cutting-edge technologies. (15%)
• Define and execute the AI and RPA roadmap to drive operational efficiencies across End to End CBS, and deliver value for One Grundfos. (15%)
• Lead the team to continuously develop processes, capabilities, and ways of working, and head technological progress and development to fulfill the business needs for scaling and technical advancements. (10%)
• Lead the change to ensure stakeholders are committed and actively participate in roadmap implementation, driving a strong collaboration and trust culture across team members and key collaboration partners for ideation, development, delivery, and implementation. (10%)
• Manage a global and diverse team, fostering a culture of innovation in a fast-paced and complex environment. (5%)
• Oversee budgeting and funding activities, ensuring optimal allocation and utilization of resources. (5%)
• Facilitate effective communication towards the CBS Leadership team to approve and prioritize roadmap activities and communicate decisions across the CBS organization. (5%)

Required Minimum Qualifications:

• Proven experience developing and executing key strategic initiatives within a complex business environment; experience working in a global environment is required.
• A Master’s degree in a relevant field is required.
• Knowledgeable of agile methodologies, demonstrating the ability to adapt quickly to change and efficiently deliver projects in a dynamic and iterative development environment.
• Experience developing and implementing operating processes and setting strategic direction for AI and automation initiatives, in a global context.
• Strong leadership in driving AI initiatives across functions, with a high focus on End-2-End impact
• Experience in leading people directly or indirectly.
• Ability to influence and guide teams and stakeholders.
• In-depth knowledge of AI and RPA applications and best practices.
• Expertise in technical RPA and AI solutions in order to set direction.

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas. Some examples of stakeholders you will work with: Sales & Marketing, Product Operations, Customer support, HR and Finance teams
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
• Work in partnership with data-platform to define requirements and standards for data pipelines and transformations, ensuring alignment with broader team requirements.
• Drive optimization and efficiency in all you do and challenge the status quo for the team’s processes'.
• Contribute to the planning & execution of Insights Services growth within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Senior Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have strong business acumen and a business-first approach to problems.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Thrive on uncovering synergies and efficiencies in your work, the work of the team, and beyond.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.
• You are fluent in English.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.

Responsibilities:

• Analyst and evaluate operation need and user requirements across Business Unit and departments
• Manage project planning, solution and ensure the right implementation of IT solution to meet the operational requirements
• Perform statistical analysis, data mining and pattern recognition to uncover trends, correlations, insights and create clear visualizations
• Project development to improve operational productivity & efficiency by adopting digital transformation tools
• Partner with stakeholders to define data requirements and collect the relevant date
• Provide well-structured data for further analysis

Requirements:

• Degree in Information Technology, Computer Science or a related field
• At least 2 years of relevant experience in Digital Transformation, implementation of IT solutions.
• Possessing strong knowledge in various digital transformation knowledge & automation tools, such Microsoft Power Platform, SharePoint, PowerBI, MS SQL, Knime, Python, cloud platforms
• Strong communication and good interpersonal skills
• Highly motivated individual who works independently with little supervision

To apply, please visit www.gmprecruit.com and search for Job Reference: 25041
To learn more about this opportunity, please contact Yingying at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

If you're equally passionate about nurturing talent and building cutting-edge data platforms, you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data.

As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes.

What you’ll be doing (Role responsibilities)

Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

• Engineering teams across the company that produce or consume data that need to be combined with other data sources, and
• Data analysts and scientists working on stream-aligned projects across the company

As a Data Engineering Manager, you will:

• Be a people-manager for a team of data engineers and analytics engineers, including
  • Coaching your team members in executing their tasks
  • Clearing technical and organizational blockers for them, and
  • Mentoring them on their own career goals and skill development
• Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running.

As a senior team member in the Data Engineering Team, you will:

• Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data
• Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making
• Liaise with our internal customers to understand their needs and convert them to technical requirements
• Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers
• Provide tools, training, and coordination to stakeholders across the organization

Role requirements

We seek candidates with most, or at least some, of the following skills and experience:

• 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans.
• Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses.
• Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI.
• Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS.
• Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Some nice-to-haves are:

• Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently.
• Experience in infrastructure-as-code tools like Terraform.
• Understanding of data privacy and security and how they are implemented in engineering systems.

Maltem Singapore is currently seeking a Data Analyst for our Wealth Management Client.

Summary:

• In this role, you will be supporting the implementation of an Enterprise Data Catalogue to facilitate the discovery and management of data assets utilizing an inventory of consistent and complete enterprise metadata.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Ability to perform Metadata activities (e.g. collection, quality control, etc) throughout the metadata lifecycle.
• Ability to thoroughly review metadata, comprehend its implications, and recommend accurate metadata based on stakeholder-provided information and governance guidance.
• Experience in onboarding stakeholders in financial institutions into the data governance and compliance roadmaps of the organization.
• Strong problem-solving skills with the ability to identify, analyze, and resolve metadata challenges.

Good-To-Have:

• Advanced proficiency in Excel:
• Pivot Tables
• Advanced Formulas
• Matching
• Filtering and Sorting, etc.
• Hands-on experience in data governance tools such as:
• Precisely
• Collibra
• Informatica
• Experience in the financial services industry as part of a Metadata team within a Data Governance organization.
• Knowledge of Financial, Investment Processes, terminologies and organizational structures (e.g. Public and Private Markets, Risk and Operations, etc.).
• Familiarity with various types of Financial Data (e.g. Risk, Transaction Data, Portfolio Data, Market Data).

We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe!
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.
• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.
• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.
• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.
• Ensure compliance with organizational policies, data governance, and industry regulations.
• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.
• Provide training and support to HR and other stakeholders on system functionalities.
• Stay updated on Workday releases and best practices to leverage new features effectively.

Qualifications

• You’re a Singaporean Citizen or Permanent Resident of Singapore. Please note that we are unable to sponsor visas for this role.

Technical Expertise:

• Proven experience with Workday as the primary HR system of record, including Workday Extend or Composite reporting.
• Strong understanding of integration technologies (e.g., APIs, XML, XSLT, EIBs).
• Proficiency in reporting tools, dashboards, and data visualization techniques within Workday.

Experience:

• Experience in HR systems, data management, or a similar role.
• Hands-on experience in managing integrations, system configurations, and security in a SaaS environment.

Soft Skills:

• Strong problem-solving skills with attention to detail.
• Excellent communication and stakeholder management skills.
• Ability to work independently while collaborating in a team-oriented environment.

Preferred Qualifications:

• Workday certifications in integrations, security, or reporting.

Additional Information

Salary: From SGD 6,100 - 7,275 + RSUs

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Apply

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

POSITION OVERVIEW : Data Engineer cum PM(Dual Role)

POSITION GENERAL DUTIES AND TASKS :

Role and Responsibilities

a) Involve in various stages of the systems development life cycle; adopting waterfall, agile or hybrid development methodology. b) Involve in project planning and budgeting. c) Plan and lead project delivery. d) Involve in procurement (e.g. Call RFP/ITQ, evaluate and award to selected vendor). e) Manage and work closely with various stakeholders (e.g. end users, senior management and external vendor). f) Conduct user requirement gathering sessions for the development / implementation of new system or enhancements to existing systems. g) Manage project implementation, application testing, supporting application patches and upgrades are in accordance with project methodologies and policies. h) Manage project based on the project plan and timeline to meet identified business needs, within agreed parameter of cost, duration and quality. i) Mitigate project risks. j) Understand IT management policy, quality management policy and security guidelines to ensure the development processes, procedures and system are designed to comply with these policies and guidelines. k) Evaluate potential solutions and make recommendations to resolve business problems. l) Provide guidance and coaching to junior team members. m) Conduct end user training if required.

Requirements / Qualifications a) Degree/Master in Computer Science, Information Technology, Computer Engineering or equivalent. b) Seven (7) years’ experience in providing data warehouse or advanced analytics solutions. c) Minimal Four (4) years’ experience in project management. d) Thorough understanding of data warehouse concepts, dimensional design, and advanced analytics techniques. e) Experience in any Data Management, Business Intelligence or Advanced Analytics tools. f) Ability to manage/influence users, vendors and coordinate with multi-disciplinary teams. g) Strong analytical skills and ability to work independently, as well as in a team. h) Exposure to hospital information / clinical systems is an added advantage. i) AWS cloud experience is a must. j). Experience in Tableau Cloud, Informatica IDMC and Databricks projects is preferred.

Preferred Skills: • Experience in AWS Services focusing on data and architecting. • Knowledge of containerization and orchestration tools like Docker and Kubernetes. • Familiarity with data visualization tools like Tableau or Power BI. • Understanding of DevOps principles for managing and deploying data pipelines. • Experience with version control systems (e.g., Git) and CI/CD pipelines. * Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Maltem Singapore is currently seeking a Business Data Analyst for our Wealth Management Client.

Summary:

Supporting the Data Governance project, you will be working with various internal teams and stakeholders to gather and understand data requirements, driving the implementation of broader data initiatives across the organization. This role will be crucial in ensuring that data solutions align with business objectives and enhance overall data quality and usability.

Responsibilities:

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Mandatory Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience and knowledge of Python.
• Proven experience in Data Management such as:
• Metadata
• Data Quality
• Data Discovery and support for enterprise-level data products.
• Good understanding of Financial Data and Data Management best practices.
• Demonstrate understanding of the complex Data Security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including Data Storage and management in relational databases such as:
• Snowflake
• MsSQL
• Oracle PL/SQL
• Familiarity with leading Data Management trends and practices in the Financial Industry, including approaches to Data Quality and business-technology issues related to Data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Good-To-Have:

• Certification in Data Management or Data Quality (e.g., DAMA, CDMP) will be advantageous.

[1 year contract, renewable]

As a Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 1 year of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• 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.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• 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
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

Responsibilities:

1. Monitor real-time security operations at overseas IDC, including personnel and asset surveillance. Respond promptly to security incidents, coordinate, and follow up on incident handling to ensure stable, secure, and efficient overseas data center operations.

2. Develop and optimize operational management standard procedures, and establish the framework for IDC security operation management systems. Enhance the standardization of global data center operations.

3. Oversee the construction of the IDC alarm, incident, risk, and drill management system. Drive execution through data-driven approaches, and facilitate the evolution towards automation and intelligence.

4. Collaborate in optimizing the security operation management platform, contributing to the development of automation tools for centralized and refined management of global IDC.

Requirements:

1. Bachelor's degree or higher, with a preference for a major in computer/electronics.

2. Over 2 years of relevant work experience, demonstrating operational and management expertise in large-scale security service projects.

3. Familiarity with security incident emergency response processes. Ability to track, analyze, handle, and resolve various security issues and incidents. Understanding of relevant security standards, regulations, and security systems.

4. Preferably with a background in the security industry or a large security services company.

5. Proficient in both Chinese and English languages.

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

"• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of Data Centre Mechanical & Electrical for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills."

Must have Talent / Skills

Ever work in Data Centre

"• ITIL Process Knowledge
• WOG experience "

• Desired Candidate Profile Technology Engineering Expertise
• 5 years of experience in implementing data solutions using GCPSQL programming
• Proficient in dealing data access layer RDBMS NOSQL
• Experience in implementing and deploying Big data applications with AWSGCP Big Data Services
• Must have excellent SQL skills
• Experience with different development methodologies RUP Scrum XP Soft skills Able to deal with diverse set of stakeholders
• Proficient in articulation communication and presentation
• High integrity
• Problem solving skills learning attitude
• Team player Key Responsibilities
• Implement data solutions using AWSGCP and need to be familiar in programming with Java
• Ensure clarity on NFR and implement these requirements
• Work with Client Technical Manager by understanding customers landscape

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

In this role, you will be responsible developing, implementing, and maintaining data governance frameworks and risk management strategies to ensure the integrity, confidentiality, and availability of our organization's data assets. This role requires understanding of data governance principles, risk management methodologies, and regulatory compliance requirements.

Data Governance Framework Development:

• Develop and implement data governance policies, standards, and procedures to ensure data quality, consistency, and security.
• Establish data governance frameworks and best practices to manage data assets effectively.
• Collaborate with cross-functional teams to define data ownership, stewardship, and accountability.

Risk Management:

• Identify, assess, and prioritize data-related risks and develop mitigation strategies.
• Conduct risk assessments and impact analyses to evaluate potential threats to data integrity and security.
• Monitor and report on data governance and risk management activities to senior management.

Regulatory Compliance:

• Ensure compliance with relevant data protection regulations, such as PDPA, GDPR, and other industry-specific standards.
• Develop and maintain documentation to demonstrate compliance with regulatory requirements.
• Stay up-to-date with changes in data protection laws and regulations and update policies accordingly.
• Provide advises on data related incidents and escalations as necessary

Data Quality Management:

• Implement data quality management processes to ensure the accuracy, completeness, and reliability of data.
• Develop and maintain data quality metrics and dashboards to monitor data quality performance.
• Collaborate with data owners and stewards to resolve data quality issues and implement corrective actions.

Training and Awareness:

• Develop and deliver training programs to educate employees on data governance and risk management principles.
• Promote a culture of data governance and risk awareness across the organization.
• Provide guidance and support to data owners and stewards on data governance best practices.

Stakeholder Engagement:

• Work closely with business units, IT, legal, and compliance teams to ensure alignment on data governance and risk management objectives.
• Facilitate data governance committees and working groups to drive data governance initiatives.
• Act as a liaison between business and technical teams to address data governance and risk management concerns.

Who we are looking for:

Competencies & Personal Traits

• Driven and Self-initiated individual
• Strong stakeholder management
• Strong communication skills, ability to storyline and engage in focused discussions
• When empowered, not afraid to make decisions
• Operates effectively even when things are not completely certain

Working Experience

• 4-8 years’ working experience
• Relevant experience in Consulting relating to data management or across multiple business disciplines as data governance professionals, business process engineers or business reporting functions
• Experience in working in a diverse organisation and across front to back business processes

Professional Qualifications

• Knowledge of tools and techniques of data governance
• Knowledge of tools, techniques and processes for gathering and reporting data

Education

• Degree holder of any business/ financial related discipline

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Multiple locations available

- Pioneer

- Tai Seng

- Hougang

- Kallang

- Ang Mo Kio

- Loyang

Gross Salary

Full-Time : S$3,300/Month

Part-Time : S$150/Day

Working Hours

- 12 hours shift

- Alternate 5 and 6 working days per week (24 working days)

- Rotating shift (0800hrs - 2000hrs and 2000hrs - 0800hrs)

Requirement

- Valid SO license

- 1 notification available

- Ability to perform intermittent patrols and escorts

- Proficient in using a mobile app for reporting

- Access control and safeguarding premises

SRS provide comprehensive medical and leave benefits. If you are interested in this role, please submit your resume via the "Apply Now" option.