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.

Key Responsibilities:

1. Oversee daily on-site security operations to ensure a safe and secure environment.

2. Manage and coordinate with external security service providers to maintain high service standards.

3. Collaborate with the Security Operations Center (SOC) to meet local security operation and maintenance goals.

Qualifications and Skills:

1. Diploma in Security Management, Risk Management, or a related field.
2. Strong security awareness with a proactive approach to risk management.

3. Excellent communication skills, with experience in managing vendor relationships.

4. Proven experience in project management, with the ability to oversee security-related initiatives.

Job Descriptions (OnSite)

• Ensure all plant & equipment on site are well maintained as per the individual maintenance schedules
• Plan, supervise, and coordinate mechanical work activities to ensure smooth execution. Manage and lead a team of mechanical fitters, technicians, and subcontractors to meet project objectives.Attend to repairs or breakdowns promptly and resolve in a safe manner to ensure downtime and delays to the project are minimized
• Oversee the installation, alignment, and maintenance of mechanical equipment, including pumps, valves, compressors, and piping systems.
• Review and verify technical drawings, specifications, and blueprints to ensure accuracy during execution.
• Inspect completed work to ensure compliance with industry standards, project specifications, and client requirements.
• Address and resolve any quality-related issues promptly
• Prepare and submit daily progress reports, manpower records, and inspection checklists.
• Communicate effectively with project managers, clients, and stakeholders to provide updates and resolve concerns.
• Liaise with the electricians to resolve issues jointly
• Co-ordinate and plan for the correct tools to be available required for the task
• Any ad-hoc duties assigned by the department manager

Skills:

• Strong knowledge of mechanical systems, equipment, and tools.
• Proficiency in interpreting technical drawings, schematics, and manuals.
• Excellent leadership, communication, and organizational skills.
• Ability to troubleshoot and resolve complex mechanical issues efficiently.
• Familiarity with industry codes and standards, such as ASME, API, and ISO.

Job Requirement

• Bachelor Degree in Mechanical Engineering or related certifications
• Mechanical Trade certificates or short courses
• Total Relevant Work Experience: 7-8 Years
• Mechanical understanding relating to infrastrcuture
• Good understanding in reading and interpreting shop drawings
• Can do attitute and able to organise the contractors

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.

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

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

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

Data Entry Clerk

• Basic Salary - $1800 to $2100
• Working Days - Mon to Fri + alt sat (8.30am to 5.30pm / 8.30am to 12.30pm)
  Working Location - Penjuru rd (moving to Senoko in 2025)
  transport pickup at Yishun, Sembawang and Marsiling

Jobscopes:

• Order processing
  -to do GR (Goods Receipt) and GI (Goods Issue) in SAP and WMS
• Liaising and co-ordinating with customer
• Performing daily/monthly/quarterly cycle count
• Require to go warehouse for picking, packing & labeling goods
• Any other ad-hoc duties

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

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.

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

• 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

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Bachelor degree in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

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

The Job

To support the fast-growing data analytics function, we are looking for a highly talented Data Analyst. The ideal candidate will be responsible for:

• Building trust, relationship between the Data Team and our business stakeholders, and being responsible to further the maturity in Analytics in the business divisions he/she supports.
• Collaborating and partnering with business units and external partners to identify, plan and prioritise descriptive and prescriptive analytics projects to foster a data-centric culture that produces business impact.
• Partnering with Data Engineering to improve the data availability and quality of data pipelines, tools and processes. Including driving initiatives to standardise organisation metrics and leading data democratisation across the organisation.
• Partnering with other Data Units across the organisation such as the Data Science Team, Audience Engineering, Data Programs, and Innovation Teams in order to find and drive project synergies to drive value in data and analytics in the business lines.
• Contributing to data growth within the organisation by being part of infrastructural project teams and providing a point of view from business unit analytical needs.
• Hands on work on chosen data analytics projects where he/she thinks he/she can most add value to the team and the business. He/she is expected to be highly independent, and to lead business intelligence and analytics projects through the entire lifecycle. The ideal candidate will possess relevant domain, technical, critical thinking and interpersonal skills.
• Thought leadership in advancing SPH Media’s digital transformation and advancing the maturity of the use of data and analytics across the organisation.
• The team is highly diversified with members from completely different backgrounds, but we all believe in systematic approaches and we are always open to new solutions.

General Knowledge & Experience

• At least 2-5 years of experience in a Data Analyst role
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields. Or relevant experience in lieu of a degree.
• Exposure and understanding of digital media industry metrics is a bonus

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Relevant study in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

Do you possess excellent problem-solving abilities, programming skills and a passion for creating innovative applications?

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving complex data science problems through ground-breaking innovations and bringing them to actual production?

Do you feel comfortable in challenging problem-solving environments where the issues you are confronting often have no pre-set solutions, require first-principles thinking, and need to be addressed on tight deadlines?

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies. It is headquartered in the United States and maintains a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable the cost-effective storage of vast datasets to statistical modelling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, earning accolades such as the AWS Technology Company of the Year award in 2019. Additionally, we have been recognised as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities

Advanced Analytics:

• Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
• Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

• Apply machine learning techniques to optimise and personalise Telco product features.
• Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.
• Data Modelling: Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
• Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

• Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
• Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

• Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

• Educational Background: Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Experience: Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
• Strong experience in applying machine learning algorithms and statistical modelling in the Telco domain.
• Technical Skills: Proficiency in programming languages such as Python or R.
• Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.
• Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
• Familiarity with Telco-specific datasets and data sources.
• Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.
• Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.
• Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.
• 
  

If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.

Only shortlisted candidates will be notified.

No job recruitment agencies.

Job Descriptions:

1. Complete in-depth special data analysis and insight based on business requirements, establish service growth models, data dashboards, analysis models, and indicator systems based on scenarios, and check and attribute abnormal data changes.

2. Disassemble and define complex problems, and propose effective strategies or solutions based on data mining and statistical modeling. Analyzes and models massive user behavior data, such as feature processing, labeling, modeling, effect evaluation, and model optimization.

3. Based on the in-depth understanding of user groups, media advertising slots, advertisers, platforms, and ecosystems, define scientific index systems and exploratory data analysis to accurately reflect the current business situation and quickly identify potential improvement opportunities in each business and technical direction.

4. Work closely with collaborative teams to design and implement scientific and reasonable AB experiments or observational research, guide scientific decision-making and iterative closed-loop, and promote the implementation and continuous optimization of data analysis conclusions.

5. Be responsible for big data governance, data access, data asset, and data quality maintenance, and maintenance of bottom-layer platforms and upper-layer data applications. Be able to handle routine maintenance, fault locating, and troubleshooting of various big data-related systems and data products. Ensure the normal and stable running of the system and services.

Job Requirements:

• Master's degree or above in computer/statistics/mathematics/operations research (doctoral degree is preferred), more than 3 years of relevant experience in user growth/user product analysis/business analysis is preferred.

• Have theoretical knowledge foundation and practical experience in statistical analysis, machine learning, and data mining, including probability statistics, data mining, and machine learning algorithms (classification, clustering, and time sequence).

• Have a basic command of Linux and network basics. Have a good command of the distributed parallel computing framework, including Hadoop, Hive, Spark, streaming computing, and real-time computing technologies.

• Have a good command of basic SQL syntax and be familiar with database programming languages such as HiveSql, SparkSql, Oracle, MySQL, and postgresql. Rich experience in data analysis, mining, cleaning and modeling;

• Excellent ability to write business analysis reports, and keen to find and analyze hidden problems in a timely manner. Good at communication, willing to cooperate, keen on new technologies, good at summing up and sharing, like hands-on practice.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries

Thakral One is a technology consulting and services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

The Role:

We are currently on the look-out for a Senior Business Data Analyst for a project with one of our multinational banking clients. You will have experience in working in complex banking programs responding to existing and new data requirements to assess and track application and user migration status.

The Requirement:

• Minimum 8 years experience as a Business Analyst in a banking environment
• Data management and reporting experience
• Experience working in complex technology transformation programs in banks
• Eliciting and responding to existing and new requirements
• Technologies: Jira, Confluence, Excel, Tableau, Alteryx and Powerpoint

• Role: Fulfilment Officer [ Bank Processing ]
• Working Location: Mapletree Business City (Pasir Panjang / Labrador MRT)
• 5Days Mon to Fri 9am to 6pm
• Basic Salary: $2500

Responsibilities & Duties:

1. Do follow ups calls to clients
2. Assist them to submit their applications through bank system
3. Follow up pending documents with clients and processing team
4. Submit end day report to the management
5. Objection handlings
6. Work closely with relevant departments to resolve clients’ issues and concerns
7. Products and systems training will be provided
8. Training provided

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

Responsibilities

Pharmacy Operational duties

• Processing medication orders
• Picking, packing and labeling of medicines in accordance to Standard Operating Procedures ( SOP)
• Perform the following medication reconciliation steps: counting, sorting and typing of prescriptions
• Perform billing functions

Provision of quality customer service

• Provide professional and courteous service to all patients/customers

Inventory Management

• Review and update inventory level base on consumption on a regular basis
• Oversee storage conditions, expiry checks, audits and reporting of defects of drug products within the institutions
• Plan and ensure that cycle counts and stock take are conducted accurately and accordingly to the StandardbbOperating Procedures
• Sterile and Non-sterile Manufacturing (Laboratory & Cancer Centre Pharmacy)

Requirements

• Min Dip in Pharmaceutical Science (Clinical Track)
• Those with pharmacy tech exp will be an advantage
• Those without exp are welcome to apply

Office hours / Shifts available!

Interested candidates, please forward your resume to [email protected]

Ann Goh Xin Ting

R1875289

Recruit Express Ptd Ltd (99C4599)

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