Your role

Have you got passion to work with people to make an impact in the businesses’ recruitment processes and job-hunting experience?

We are looking for Recruiters to:

• act as a trusted advisor and manage the recruitment process for your clients in your specialised sector (Banking & Financial Institutions, Manufacturing, Technology, Consumer & Retail, Legal & Compliance)
• adopt good sourcing practices and strategy to identify and hire the right candidates
• prospects new clients in your specialised sector and keep up with industry trends
• manage relationships with existing hiring managers and other HR management to engage them constantly and build stronger ties with them
• contribute towards continuous improvement initiatives or ad-hoc company projects

Your team

You’ll be part of the SearchAsia team in Singapore but also able to draw on our recruiting network in the region. We're problem solvers for hiring managers, making them happy by getting the right candidates. As a Specialist Recruiter, you’ll play an important role in driving impactful outcomes for our organization by connecting hiring managers with top talent. Your work will be essential in shaping the future success of the business through the acquisition of company’s greatest asset – people.

Your expertise

• graduate with degree in Business/Social Science/Communications or relevant discipline
• excellent communicator, know how to attract and engage candidates, especially passive
• great at presenting ideas, believing-in and selling important values that aligns with clients and company
• strong relationship management to effectively manage different stakeholders internally and externally
• self-motivated and driven with passion to pursue goals and hitting targets with team to expand industry specialisation and network

About Us
SearchAsia is the regional largest Recruitment & Staffing firm. With our headquarters based in Singapore, and our expanding network of offices across Asia Pacific, we are well-positioned to secure the best talents and take our clients' businesses to the next level.

With a client-focused approach, SearchAsia Consulting emphasizes building long-term partnerships, understanding unique hiring needs, and delivering customized solutions. Our expertise and commitment to excellence make us a trusted partner in the competitive talent market.

Join us

Be part of a dynamic team that thrives on connecting exceptional talent with extraordinary opportunities. At SearchAsia, you’ll grow professionally while making a meaningful impact on businesses and careers. If you’re passionate about people, eager to solve hiring challenges, and ready to excel in a fast-paced environment, we’d love to have you on board. Shape the future of talent acquisition with us!

Jocelyn Ho Wen Mun (R1658156) | EA License: 16S8107

[email protected]

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

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.

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

Job Description:

• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of company's data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse company's internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Roles and Responsibilities

• Be part of the development core for the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse ONE internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

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!

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.

• 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.

• 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

DESCRIPTION OF JOB TASK AND RESPONSIBILITIES

Work Reception Clerk

• Provide day-to-day customer service for existing customers

• In-charge of all administrative duties given by managers e.g;

Filing, data entries, email, answering phone calls & attending to queries/complains

• Dispatching, coordinate with Maintenance & Pest Team on required maintenance assistance &

• schedules

• Assisting Maintenance, Pest & Grounds Team in scheduling appointments with residents

• Generate daily outstanding service call & weekly requirement meeting reports

• PR skills with meeting every customer’s needs, queries & good follow-up skills with initiatives. Maintaining filing system

Job Description

- Point of contact for users across the BANKS for data issue escalations. The EDM team ensures that data hosted in data warehouse is of good quality and conforms to data standards such as completeness, accuracy and consistency, to support regulatory and management reports. The team also promotes data automation and makes use of data to help develop initiatives to improve productivity.

- Data discovery through provision data requests to respective Data Playpen for business units across the Group. - The objective advocates self-service data exploration and analysis within and among Business/Support Units. - Data definition and specification documents are available to provide navigational guidance and support for data provision purposes.

Your main responsibilities include:
- Gathering and documenting business requirements & functional specifications on data related initiatives.
- Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.
- Provide end-to-end project delivery support, including workshop planning, conducting of workshop walkthrough, user acceptance testing ,defect support, continuous validation and assisting with rollout activities.
- Able to perform complex SQL scripting to meet user’s requests.
- Foster strong working & collaborative relationships with the business & technology stakeholders.

Requirements
- Minimum Bachelor Degree or equivalent professional qualifications in Computer Science with at least 2 years of working experience in banking industry, preferably with business / functional knowledge;
- Experience in gathering and documentation of business requirements;
- Knowledge in Data Warehousing, BI tools, Big Data platforms and experienced in the use of analytical /query tools.

- Must be able to query and understand database solutions.
- Experience in developing and documenting data-driven solutions – including capturing architectures, metadata systems, data dictionaries, databases and applications.
- Good team player who possesses drive and initiative;
- Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.

What will you do?

• Oversee the product “Identity”. Some examples of the data you’ll manage would be: medium description, product weight, instruction sheets and products images (both 2D and 3Ds).
• Work closely with both the technical team in charge of product development and the Schneider web team. Some of these assets are delegated to subcontractors hence you’ll have to supervise their efficiency to avoid budget wasting and make sure that deliverables are published on time.
• Be a key actor in the creation of a safe and high-quality product by leading the quality process preventing customers to make mistakes when using our products.
• Drive the creation of exciting commercial assets enabling our sales colleagues to successfully convert new customers: customer presentations, leaflets, training content, video
• Work with Schneider advertisement expert teams, giving you a wider exposition while letting you discover even more workings of the big Schneider machine.

What qualifications will make you successful?

• Degree qualification in Engineering or its equivalent disciplines
• 5 years’ experience in electronics or electromechanics for products used in an automation system
• Basic project management
• Strong communication skills and collaboration spirit, required to influence and motivate various stakeholders: internal C&S teammates, Global Marketing, subcontractors.
• Rigor, dynamism, and proactivity will help you deliver accurate content, drive your colleague into respecting the deadlines and enable you to create to ways to improve the efficiency of the marketing team.
• Curiosity & willingness to keep learning & challenging oneself.
• Comfortable managing several topics in parallel
• Open to multi-cultural and multi-disciplinary environments.

My Client is a Singapore head quartered global company that provides Big Data & Analytics solutions on the Cloud using a SaaS model that harnesses poly-structured data from myriad sources at the right latency, derives Insights and converts Insights to appropriate business Actions. They have a strong team of Data Scientists and Domain Experts who provide Consulting and Managed Services to realise business benefits using Big Data.

What you'll do:

• Responsible for meeting revenue targets leveraging own contacts, lead generation activities and alliance partners
• Manage the opportunity from sales pursuit to close using deep sales process and offering expertise. Act as point of contact for resolution and escalation of all the key items with the client and internally.
• Target the right clients, grow quality pipeline, win profitable deals, and manage sales activities to create mutually beneficial, trust-based relationships that create value.
• Generate and build client relationships leading to qualified opportunity identification and involvement throughout the sales cycle, often without an existing client relationship or opportunity.
• Create a direct relationship with the owner or decision-makers of enterprise companies in Singapore.
• Interact with senior management levels at a client, which involves negotiating or influencing significant matters.

What we look for in you!

• Minimum of 5 years experience selling Cloud (IaaS or PaaS) and/or analytics services.
• Possess any of the cloud fundamentals certifications
• Have sold deals of data warehousing, analytics solutions
• Have positioned winning strategy development and value proposition development
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent communication (written and oral) and interpersonal skills

Desired Candidature

• Has prior experience in leading and closing multi-year deals.
• Having some prior experience in selling cloud services-based data warehousing or analytics/ data science solutions.
• Ability to identify a client problem statement and craft a value proposition that provides specific outcomes addressing the client's problem.
• Ability to provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.
• Ability to originate new opportunities.

Job Overview

We are seeking a highly skilled and motivated Data Operations Engineer to join our Data Solution team with focus on Commodity Trading, Logistics, Risk Management and Storage. The ideal candidate will be responsible for the development, deployment, and maintenance of our data pipelines and infrastructure, ensuring seamless data ingestion, transformation, and ongoing operations. You will work closely with data engineers, data scientists, and business stakeholders to ensure data quality, reliability, and performance.

Duties and Responsibilities

1. Data Ingestion and Transformation:

• Design, develop, and maintain data ingestion processes using Azure Data Factory, Azure Functions, and Logic Apps in close alignment with the DevOps team.
• Implement and manage data transformations using Databricks and Delta Live Tables, including the DLT-Framework.
• Develop and optimize ETL processes to ensure data is ingested, transformed, and stored effectively.

2. Maintenance and Operations:

• Monitor and maintain data pipelines to ensure continuous and reliable data flow.
• Troubleshoot and resolve issues related to data ingestion, transformation, and storage.
• Implement and manage automation tools to improve operational efficiency and reduce manual intervention.
• Ensure the scalability and performance of the data infrastructure.

3. Automation and Monitoring:

• Automate data workflows and processes to improve efficiency and reduce manual intervention.
• Implement & operate CI/CD pipelines
• Implement monitoring and alerting systems to ensure data pipeline reliability and performance.

4. Collaboration and Communication:

• Work closely with data engineers, data scientists, and business stakeholders to understand data requirements and operate or deliver solutions.
• Provide technical support and guidance to team members and stakeholders.

5. Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data integrity.
• Adhere to data governance policies and best practices.

Qualifications

Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.

Experience

Proven experience of at least 4 years as a Data Operations Engineer or similar role ideally within an agile delivery work environment.

Skill and Competencies

- Strong technical skills in a cloud environment, including:

• Azure Data Factory, Azure Functions, and Logic Apps
• Databricks and Delta Live Tables, including the DLT-Framework
• Programming languages such as Python, SQL, and Scala
• CI/CD pipelines and DevOps best practices
• Familiarity with data governance and data quality best practices

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills in a hybrid- and remote Team-Setup.

- Previous experience in the field of commodity trading or banking with a focus on (credit-) risk management, product control, or trading itself is a big plus.

If you meet the qualifications and are interested in this opportunity, please submit your application via "Apply Now". We look forward to reviewing your credentials.

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.