You will join our team as an Actuarial Data Analyst, where you’ll become part of Munich Re’s Life and Health Southeast Asia Unit in Singapore, supporting the SEA Life Commercial team.

You will utilize your actuarial knowledge and data analytics skills to transform, process and analyze client bordereaux data. A key focus of the role will be driving the Treaty Monitoring Project (KTM), which aims to refine the tracking of treaty performance. Your efforts will result in comprehensive reports and actionable insights that inform organizational strategies.

Additionally, you will contribute to ad-hoc analyses and collaborate on projects that enhance processes, ensuring the delivery of high-quality, data-driven solutions.

Your job:

• Collaborate with actuarial and accounting teams to analyse and interpret treaty terms and product features.
• Lead the onboarding of treaties and the development of the KTM project by automating data-driven processes, designing algorithms for data cleaning, and preparing comprehensive documentation to improve efficiency and accuracy.
• Develop and maintain dashboards using tools such as VBA, SQL, Python, and Power BI to visualize, monitor, and analyse client data, providing relevant insights to support business decision-making.
• Partner with clients and internal teams to identify and resolve data issues, ensuring documentation and maintaining high data quality standards.
• Conduct ad-hoc investigations, including premium reconciliations, generating management reports, and preparing datasets for experience analyses.
• Support the team with miscellaneous tasks, demonstrating adaptability and a proactive problem-solving mindset.

Your profile:

• Bachelor's degree in Actuarial Science or Business Analytics, with a strong foundation in data transformation and data analysis.
• Experience in actuarial-related roles and Life Insurance principles and products is preferred; fresh graduates are welcome to apply
• Proficient in Excel, SQL, and data analysis automation, demonstrating strong analytical and problem-solving skills.
• Skilled in data visualization tools, particularly Power BI, for creating compelling reports.
• Detail-oriented with a proactive approach, committed to continuous learning, and possessing a positive willing-to-learn attitude.

Our Benefits:

• Flexible and hybrid working arrangements
• Generous annual leave allowance
• Competitive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented.

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Bachelor's or Master's degree in any field

· Professional fluency in both written and spoken English

· Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

Desirable Qualities:

· Previous work experience related to with B2B ERP/TMS systems

· Previous work experience related to container shipping, freight forwarding, or maritime logistics

Job Description:

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence

Qualifications:

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Key Responsibilities:

• Collaborate with business stakeholders to gather, understand, and translate data requirements into actionable solutions.
• Implement scalable and reusable data processes to meet evolving business needs.
• Work closely with engineering teams and external data vendors to troubleshoot and resolve technical data-related issues.
• Provide timely support to end users, addressing data queries and issues.
• Develop and maintain comprehensive documentation for data management activities, including operating models, processes, and test results.
• Monitor the effectiveness of data initiatives and recommend continuous improvements.
• Stay updated on the latest industry trends and best practices in data management.

Mandatory Skills:

• A degree in Computer Science, Information Technology, or related fields.
• Proven experience in data management areas such as metadata, data quality, and data discovery.
• Strong understanding of financial data and data management best practices.
• Demonstrated knowledge of data security and technical challenges faced by large organizations.
• Extensive hands-on experience with SQL and relational databases such as Snowflake, Microsoft SQL Server, and Oracle.
• Familiarity with data management trends and practices in the financial industry.
• Excellent analytical, communication, problem-solving, and documentation skills.
• Ability to work both independently and collaboratively as part of a team.

Preferred Skills:

• Experience with Python programming.
• Certification in data management or data quality (e.g., DAMA, CDMP).

EA License: R1873481

Company EA License: 11C4879

• Design, develop, and implement methods, processes, and systems to consolidate and analyze unstructured, diverse data sources, providing actionable insights and solutions for management.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with business experts to enrich data and uncover meaningful insights for building actionable solutions.
• Automate repetitive data tasks to streamline processes and reduce manual intervention.
• Create data visualizations to effectively communicate findings and recommendations to stakeholders.
• Stay updated on industry trends and advancements in data science, machine learning, and artificial intelligence.
• Support the Global IFF Business Control team with task and project handling requirements.
• Provide assistance with administrative matters and handle ad-hoc tasks assigned by the Head of Department as needed.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Castlery creates furniture that opens everyones’ eyes to the spaces they already have - and the life that’s yet to be lived in them. By working directly with designers and manufacturers, we bring iconic high-end furniture to our customers without high street price tag.

As an e-commerce and retail startup, we move decisively based on good data and leverage on technological solutions to supercharge our operations. We combine our individual passions and skills to create innovative work that’s as exciting and unconventional as the business itself.

What You’ll Be Doing

• Lead Castlery’s data science practice and data product development for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
• Build a data-driven organisation by defining and answering key business questions with other teams, applying most appropriate models and data technology.
• Work with Technology and Data teams to implement appropriate data architecture to enable high availability and good performance of data products.
• Improve how business teams operate by incorporating data science solutions into day-to-day operations and strategic decision making.
• Responsible for professional development of team of data scientists and analysts.
• Create and own Castlery’s data science and product road map.

What You’ll Need

• University degree in Mathematics/ Statistics, Computer Science/ Engineering, Data Science or other equivalent degrees with outstanding record of academic achievement.
• Proven track records of working as senior-level Data Scientist, developing production data systems using machine learning, optimsation, simulation etc.
• Passion for solving challenging problems by leveraging on 3rd-party data science solutions or building the required products in house.
• Entrepreneurial spirit to develop innovative solutions from scratch.
• Good command of programming languages (Python, R), their related data science libraries.
• Excellent communication skills and ability to influence people from various departments.
• Ability to deliver complex ideas effectively, both verbally and in writing, in English.

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

Job Description:

At least 2 years of hands-on experience in data center infrastructure, network hardware, and communications systems implementation and maintenance.

Knowledge of data center environments, including PDUs, RPPs, SANs, and network infrastructures.

Understanding of complex inter-networked environments, such as Ethernet, TwinAx (100GigE, 25GigE, 10Gig, 100M etc) token ring, and WAN technologies (OC-x, DS-x).

Familiarity with TCP/IP protocols, subnetting, and WAN technologies.

Strong analytical and troubleshooting skills to identify and resolve system and network-related issues.

Excellent written and verbal communication skills to interact with vendors, team members, and stakeholders.

Experience in managing or coordinating technical infrastructure projects is an advantage.

While not required, familiarity with the Financial Services industry is a plus.

Roles and Responsibilities:

Hardware & Network Installations: Perform installation, de-installation, relocation, and testing of network hardware (routers, switches, firewalls, encryptors) and systems within the data center. Ensure that all installations meet the required service-level standards.

Carrier Circuit Management: Install, relocate, and test carrier circuits to ensure network connectivity across various hardware.

Cabling & Infrastructure Management: Manage the installation, relocation, and testing of patch cabling for systems and network hardware, maintaining organized and effective cabling practices.

Vendor Coordination: Collaborate with facilities, electrical, and communications vendors to facilitate the installation of infrastructure elements such as power circuits, cabinets, and network components.

Network & SAN Infrastructure Support: Assist in coordinating the installation and management of network configurations and SAN cabling, ensuring that performance and reliability standards are met.

Consumables Management: Oversee the management of critical consumables (cables, labels, rail kits, etc.) to ensure efficient day-to-day operations.

Work-Life Balance: This role will be 12Hour Rotating shift from Thursday to Sunday. 3days off to rest/ recharge.

Career Development: Gain invaluable experience in managing enterprise-level data center operations and network infrastructure.

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.

We are seeking talents who are motivated and analytical to join our team as a Data Analyst Intern. We are working on an enterprise level ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Carry out machine learning projects in data training and inference.

• Collate and manage project results for follow-on projects development.

• Review ML and algorithmic models from technical journals. Provide pros/cons analysis to shortlist for feasibility testing.

• Perform data analytics on datasets for preparation and data insights for ML tuning.

Requirement

• Currently pursuing a bachelor's or post-graduate degree in a relevant field, such as Data Science, Physics, Statistics, Mathematics, or Computer Science.

• Strong analytical and problem-solving skills.

• Competent in Python data analysis, ML tools etc.

• Familiar with various ML framework and algorithmic programming methods would be advantages.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

• Actual Renumeration depends on experience.

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

We are seeking a dynamic Junior Data Engineer to join our Regional Data team to help foodpanda make smart, data-driven business decisions. We maintain data ingestion pipelines while creating and maintaining products and frameworks to empower teams to craft insights and build quality data products.

Responsibilities

• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
• Ingesting first and third-party data sources into our petabyte-sized data warehouse.
• Curating and maintaining high-quality data assets so our data scientists and analysts can make informed decisions and create better products.
• Creating and maintaining tools that enable data consumers to use our data better.
• Collaborating with cross-functional teams to deliver high-quality data assets.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

‎

Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

This position is ideal for those who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Staff Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.
Responsibilities:

• This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide excellent user experiences. You will be an integral part of the Loyalty development team focusing on design and building of software solutions that leverage data to solve business problems.
• Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients.
• Lead development and oversee programming testing functions to ensure that projects are securely delivered while fulfilling expectations.
• Identify opportunities for further enhancements and refinements to standards and processes.
• Lead by example, demonstrating accountability, mentoring junior team members, and by contributing to departmental procedures, best practices, and standards.
• The candidate will be extensively involved in hands on activities including POCs, design, documentation, coding, testing, implementation, and documentation of solutions for new development, system enhancements, and production support.
• Candidate must be flexible and willing to switch tasks based on team's needs.
• Development and programming functions to ensure that projects are delivered on time and within budget with good code quality.
• Work with architects, systems analysts, project managers, QA, and other developers to successfully implement business requirements while applying the latest available tools and technology.
• Responsible for the architecture, design, development, implementation of data based software applications. This includes working with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations.
• Interact with business units to define requirements and modifications and use case to utilize in designing appropriate solutions.
• Provide recommendation on scope and scale of effort required to develop solution.
• Design, develop, document, and implement new programs and subprograms, as well as enhancements, modifications, and corrections to existing software Develop testing and debugging routines.
• Create documentation and procedures for installation and maintenance.
• Build and maintain relationship with global and virtual teams and third parties on software development or support issues.
• Identify opportunities for further enhancements and refinements to standards, best practices, and development methodologies.
• Work directly with Architects, System Analysts, Dev leads and QA team leads to manage the technical aspects of a development pipeline.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Overall Role Purpose:

• Working within the Group Data Science, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work on a variety of problem from traditional AI and Machine learning to Generative AI problem when needed.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as State of the Art Reinforcement learning system or RAG.
• Develop and maintain models in production. Set up controls and monitoring for the models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• 2 years+ of experience manipulating data sets and building statistical models, ideally with a Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative field.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Trino, and Spark.
• Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• You have a passion for AI and ML, and you want to learn more everyday

Communication & Soft Skills:

• Ability to execute in a fast-paced environment.
• Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
• Strong communication skills and drive to deliver business benefits in the real-world.
• Genuine drive to learn and master new technologies and techniques.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing.
• Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Exposure to the semiconductor industry is a plus but not a requirement.
• Strong verbal and written communication skills.

Minimum Experience & Skills:

• Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Experience with or desire to learn:Machine learning and other advanced analytical methods.
  Fluency in Python and/or R.
  pySpark and/or SparkR and/or SparklyR.
  Hadoop (Hive, Spark, HBase).
  Teradata and/or other SQL databases.
  TensorFlow, and/or other statistical software including scripting capability for automating analyses.
  SSIS, ETL.
  JavaScript, AngularJS 2.0, Tableau.
  
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
• Experience working with Manufacturing Execution Systems (MES) is a plus.
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are a plus, but this is not a research position.

Data Analyst

90 Seconds is looking for a Data Analyst to wrangle data and drive business intelligence. This person should be detail-oriented with good commercial acumen and will turn data into information, information into insight, and insight into business decisions. If you are a data wizard with a passion for AI, who wants to be part of a world leading, Sequoia-backed, services marketplace in pro video creation, play a key role and have immense impact on the business, then this is the role for you!

What you'll do

• Understand and manage the data structure of the 90 Seconds marketplace application.
• Extract data from our data sources through writing raw and complex SQL queries, interpret and analyse data and draw valuable insights
• Develop dashboards, graphs and reports using external BI tools including Looker Studios, HubSpot and Google Sheets.
• Work to build custom GPTs (and other AI applications) on top of our data to provide operational efficiencies.
• Work with senior leaders to understand and prioritise information needs and provide insights to the business
• Develop systems for data collection, data analytics and other strategies that optimise business intelligence .

Who you are

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management or Statistics
• Expert skills in SQL (for use with a PostgreSQL database)
• Experience using third party analytics tools like Looker Studios, HubSpot and Google Sheets or Holistics, Periscope etc.
• Technical expertise in data modelling, database design development, data mining and segmentation techniques.
• Passionate and excited by the efficiencies AI to bring to an organisation.
• Strong attention to detail and accuracy.
• Ability to work well in a fast paced, collaborative, highly cross‐functional environment
• Self‐motivated, independent, and proactive, with a pronounced ability to work through complicated problems.
• Ability to respond flexibly to the needs of the business.
• Strong communication skills, both oral and written

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

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.