About Us

SPH Media’s mission is to be the trusted source of news and lifestyle content in Singapore and Asia. One of our core purposes is to produce credible, balanced, and objective news and analysis, always with a view to uphold the public good and fostering an informed, engaged citizenry.

We welcome talented individuals to join us and grow a career in a vibrant and collaborative environment built around a culture of respect and inclusivity.

As an employer, we are committed to rewarding our people fairly and developing them in their careers.

About the Role

Temporary Data Entry Assistants

ZBSchools is looking for 2 data entry assistants to input exercise and mock exam questions into the new Chinese Content Management System.

• Duration: 2 months (25 November 2024 to 24 January 2025)
• Location: onsite at SPH Media Office, 1000 Toa Payoh North
• Working hours: Monday to Friday, 8.30am to 6pm
• Rate of pay: $10 per hour

Roles & Responsibilities

• Accurately input and update data in Chinese in the content management system
• Verify data for accuracy and completeness
• Must provide timely update on work progress and respond quickly to changes
• Training will be provided

Who we are looking for

• At least GCE O level
• Chinese language proficiency is compulsory
• Proven experience in data entry or a related field.
• Excellent attention to detail and accuracy
• Ability to work independently and as part of a team

Job Summary:

We are seeking a meticulous and data-driven Data Analyst to support our contact center operations by extracting, analyzing and presenting data to drive insights and inform business strategies. In this role, you will work closely with various teams to ensure accurate data reporting, develop automated solutions and provide actionable insights to enhance contact center performance.

Responsibilities:

• Extract, clean, and analyze data from multiple sources to generate daily, weekly, and monthly reports.
• Develop and execute SQL queries to retrieve information efficiently.
• Fulfill ad-hoc data requests from projects and management to meet business needs.
• Collaborate with developers to automate reporting processes, enhancing data availability and accuracy.
• Liaise with projects on data-related queries and issues, ensuring clear and timely communication.
• Analyze contact center performance metrics, including call volume, response times and customer satisfaction scores.
• Develop and maintain dashboards to monitor Key Performance Indicators (KPIs) and improve operational visibility.
• Identify trends and patterns in data to provide actionable insights and support strategic decision-making.
• Collaborate with management and cross-functional teams to deliver data-driven recommendations.
• Assist in implementing process improvements based on data analysis and findings.
• Ensure data integrity and accuracy across all reports and dashboards.
• Contribute to demand forecasting and capacity planning by analyzing historical data trends.
• Stay informed on industry best practices and emerging technologies in data analytics.
• Perform additional duties as assigned, contributing to the overall data strategy and operations.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis and reporting, preferably within a contact center environment.

Technical Skills: Proficiency in SQL, with experience in writing complex queries. Experience with data analysis tools (Excel, SQL, Python) and data visualization tools (Tableau, Power BI, AWS QuickSight). Demonstrated ability to build reports and dashboards that effectively communicate key metrics and trends.

Soft Skills: Strong communication and presentation skills, with the ability to convey complex insights to non-technical stakeholders. Proactive, detail-oriented, and capable of working independently with minimal supervision. Excellent time management, critical thinking, and problem-solving abilities.

Additional Skills: Familiarity with statistical analysis, modeling, and industry best practices in data integrity.

Preferred Qualifications:

Experience working in a contact center environment or with contact center analytics.

Knowledge of process improvement methodologies and capacity planning.

Position

Data Security Expert is a technical expert role within the Data Security Services team and will be responsible for managing, administration and supporting the Data Security and Endpoint Security technologies for the bank.

Person will be the technical point of contact for the Run team and the related activities to data security and will be the last level of escalation for the Security specialists in the team. He/She is also responsible for the technical transition and validation of Security services from other regions to Singapore. He/She will be involved in projects and POC’s that may involve security services. He/She works with continuous improvement principles. He/She is equivalent to the Subject Matter Expert on the technologies within data security.

Data Security Services team in Singapore is responsible for day-to-day operational services on the infrastructure of Europe (mainly France and UK) and Asia remotely from Singapore. France infrastructure represents approximately 80% of the worldwide production activities of the company in Singapore.

Team works in Europe time zones and this role will be aligned primarily to Paris working hours. Flexible rotations are followed based on the nature of duties.

The operational support of the team covers the following technical scope:

• Endpoint Security technologies – Anti-virus management, Host Intrusion Prevention System etc.
• Data Leak Prevention systems. - Email Prevent, Web Prevent, Endpoint Protect,
• Encryption Solutions: Disk Encryption, File and Folder encryption,
• Database Audit Monitoring solutions
• Email and Web Phishing Prevention solutions.
• Vulnerability Management

Responsibilities

The Expert has a wide spectrum of responsibilities and actions. Person will be responsible for following (but not limited to) responsibilities in day-to-day work:

As the Expert of the team, he/she:

• act as the last level of escalation for the team members
• own Incident, Problem and change management process for the team
• assigns technical tasks and manages delegation
• animates the team to encourage collaboration and sharing of practices
• participates to recruitment process for the team

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

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence
• Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the Singapore Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.

Qualifications and Profile

Functional

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Experience in defining, implementing, and enforcing enterprise-level IT security policies for endpoint and data security solutions;
• Must have working experience in managing endpoint security solution for a Large enterprise level environment, working experience in financial organization is preferred;
• Excellent in analytical, communication and documentation skills;
• Ability to organize work and be able to priories work as per the needs of Production Operation’s needs;
• Must have strong understanding of ITIL processes and comfortable working in process oriented environment;
• Ability to work independently and as well as a part of team and is able to work under minimal supervision;
• Should have time management skills and able to manage work in fast moving environment;
• Excellent written and oral English language skills;
• Knowledge of French language is preferred.

Technical

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

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified is highly preferred
• Symantec Certified Expert: Administration of Data Loss Prevention (any version) is highly preferred.
• Must be experienced to cover the scope as mentioned in the SKILLS MATRIX section of this document.

Technical skills

• Symantec Data Loss Prevention Administration (DLP Policy/Rules creation expertise): Good to have
• Database Access Monitoring: Good to have
• Symantec Endpoint Protection (Anti-Virus): Good to have
• Microsoft Defender Suite: Good to have
• Email Security: Knowledge
• Python, Regular Expression, Powershell: Knowledge

General skills

• Ability to prioritize effectively: Must to have
• Ability to work autonomously: Must to have
• Ability to work successfully in a team: Must to have
• Adaptability to changing environments: Must to have
• Inter-personal skills: Must to have

Management skills

• Ability to deal with issues, time management: Critical
• Manage escalated incidents: Critical
• Capacity to cooperate / work across discipline: Critical
• Capacity to develop others: Desired

Language skills

• English: Critical
• French: Good to have

Work Schedule

• Required to work on Paris and/or New York and/or Asia time zone*, i.e. 2pm to 11pm/4pm to 1am (summer season) or 3pm to 12am/ 5pm to 2am (winter season), or in accordance to the planned time schedule as required. If necessary, you may also be required to start work earlier or to extend working hours.
• May be required to be available for on-call support during non-business hours and/or on weekends. Allowance is claimable for such hours.

Education Requirements

At least a Bachelor’s degree in any of these faculties:

• Computer Science
• Information Technology
• Programming & Systems Analysis
• Science (Computer Studies)

Next Step

Prepare your updated resume and expected package.

Simply click on 'Apply here' or email to [email protected] to drop your resume

All shortlisted candidates will be contacted.

Prasant Sirohi

EA License Number: 91C2918

Registration Number: R22106307

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 UOB 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 SUMMARY

• We are looking for a Lead Data Scientist with strong data and analytical skills. You will be tasked with managing all aspects any new work/project assessments thoroughly from inception to delivery. You will need to build close working relationships with COO business and CDO in order to gather specific modelling requirements and define and scope the work. In addition, as Data Scientist you will also work closely with internal staff, clients and 3rd parties.

RESPONSIBILITIES

• You will be building Statistical/Machine Learning models in either Python or R to solve business problems using Advanced Analytics.
• You will be presenting results of your analysis and interpreting outputs of your models to give recommendations to the stakeholders.
• You will be maintaining and documenting produced code and modelling process.
• You will be working with data engineers to prepare and integrate data from various data sources.
• You will be helping data engineers and ML engineers with model deployment.
• You will be cooperating with (both technical and non-technical) from various Bank departments to adjust analytics solution to the business needs.

Strategy

• Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy.

Key Responsibilities

Business

• Design Machine Learning, Natural Language and Decision Optimisation applications architecture.
• Design ML, NLP and DO models, algorithms for predictive & prescriptive analytics.
• Translate business requirements to reporting dashboard and analytics.
• Perform advanced analytics and statistical modelling on structured and unstructured data.
• Work with software engineers to integrate and deploy AI applications.
• Assist in the creation of data definitions for new database file/table development and/or changes to existing ones as needed for analysis.
• Support the business with clear and insightful analysis applying advanced modelling techniques leveraging the data at hand

​​​​​​​Processes

• Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements.

People & Talent

• Lead through example and build the appropriate culture and values.

Risk Management

• Adhere to current data related policies and standards.

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

• COO Business, CDO, internal staff, clients and 3rd parties

Other Responsibilities

• Embed Here for good and Group’s brand and values in SCNXT Data Science team; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures;

Our Ideal Candidate

• 3+ years of experience in the data science field.
• Preferably higher education in one of the following fields: Math / Quantitative Methods / Econometrics / Information Systems, Physics.
• Solid experience in at least one of the following programming languages: Python or R.
• Experience in application of statistics, classification, regression, segmentation and dimensionality reduction methods and preferably in any of the following data science related areas: econometrics, time-series analysis, optimization methods, Bayesian statistics, natural language processing.
• Solid understanding of most of the following algorithms: linear regression, logistic regression, decision and regression trees, random forest, boosting algorithms (e.g.: XGBoost), k-means, hierarchical clustering and principal component analysis.
• Solid understanding and knowledge of the following data science concepts: bias-variance trade-off, regularization, model evaluation metrics, cross-validation, bootstrapping, hyperparameter tuning, feature selection, feature engineering.
• Experience in relational databases using SQL.
• Experience in data visualisation.
• Experience with version control systems (e.g. GIT).
• Experience in cloud technologies.
• Experience in ML Ops.
• Experience with ETL and data engineering.
• Experience with Spark and other big data technologies.
• Knowledge of graph databases and knowledge graph applications in data science is a plus (e.g. Neo4j).

Role Specific Technical Competencies

• Data Analysis
• Artificial Intelligence
• Machine Learning
• Python Scripting
• Business Analytics

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

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. Please indicate #67480 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

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

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. Please indicate #68538 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

Job Title

Quantexa Data engineer

Occupation

Data engineer

Job Description & Requirements

About the Client:

Our client is a leading Information Technology (IT), consulting, and business process services company.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirement:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R24125310 (PARAMATASEEMA NAVEEN RAJANNA)

This is in partnership with 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 e2i’s PDPA.

“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 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 emailto let us know. Please feel free to contact us if you have any queries

• Experience in data engineering, ETL, and software development, specializing in Oracle PL/SQL, Informatica, and Business Objects.
• Skilled in data integration, migration, and transformation for complex business environments.
• Strong knowledge in business intelligence and data warehousing with experience across banking and finance domains.
• Ability to analyze and optimize data flows to enhance efficiency and reduce costs.
• Responsible for Control-m design and job scheduling
• Provide in-depth analysis and insights for better and efficient decision making of pricing, inventory and purchase requisitions
• Closely worked with business analysts to understand the requirements, design, develop, test, and deploy the ETL
• Develop the data layer using Informatica and Oracle PLSQL

Admin Executive

Working Hour : 5 days 9am-6pm

Salary : $3000-$3200

Office : Macpherson

Responsibilities
Processing invoices, delivery orders and other documents part of the sales process.
Processing payment for bills and expenses
Secretarial and admin support to director
Liaise with suppliers for deliveries
Data entry, paper work, scanning, photocopying and filing of documents
Provide administrative support
Perform ad- hoc duties assigned

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’s compliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The Challenges:

• Collect, extract, clean and manage data from various sources
• Ensure data accuracy, integrity, and security
• Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
• Prepare, review, and submit regulatory reports to relevant authorities
• Monitor changes in regulatory requirements and adapt reporting processes accordingly
• Collaborate with cross-functional team to gather data and report requirements
• Create and maintain comprehensive reports and dashboards
• Perform data analysis to identify trends, patterns, and anomalies
• Interpret data and provide actionable recommendation for process improvement
• Present data insights and communicate findings, results, and recommendations to stake holders
• Develop and maintain documentation of data processing and reporting processes
• Provide insights and recommendation to improve compliance and reporting efficiency
• Continuously improve and automate the data extraction, integration, and database management processes
• Contribute to the development of data related strategy and initiatives
• Provide project management support in IT related projects that the department is involved with
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a related field
• At least 2 years of relevant working experience in Data Management and Reporting
• Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
• Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
• Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
• Prior hands-on experiences in UiPath (RPA software) will have added advantage
• Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
• Ability to work in a team and independently with minimal supervision
• Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)

Sarah

Reg No: R2198293

EA License No: 21C0501

*We regret to inform that only shortlisted candidate will be notified. Thank you.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Collaborate with business partners to understand business needs and functional requirements, translating them into Hadoop-based solutions.

• Ensure seamless integration and management of large datasets, working with HDFS, Hive, HBase, Apache Kudu, and other Hadoop ecosystem tools to implement efficient data processing workflows.

• Utilize Hadoop job schedulers such as Oozie and Run Deck to streamline job scheduling, execution, and workflow management.

• Leverage cloud data services like Azure and GCP (BigQuery, BigTable, DataProc) to integrate and process large-scale data sets on cloud platforms.

• Expertly use Sqoop, Apache Nifi, and other data ingestion tools to import and export data from various SQL and NoSQL databases.

• Apply Big Data analytics techniques to derive actionable insights from vast and complex datasets, enabling data-driven decision-making.

• Mentor and guide junior developers and team members, providing technical expertise and support to ensure the timely and successful completion of tasks.

• Regularly communicate project status and provide solutions to meet evolving business requirements, ensuring the delivery of high-quality Big Data solutions.

Requirements:

• B.Tech. in Computer Science or Data Science

• 10+ years of hands-on experience working in the Hadoop ecosystem with expertise in HDFS, Hive, Sqoop, Oozie, Impala, Spark, Pyspark, HBase, and Apache Kudu.

• Strong hands-on experience with Azure Data Services (Blob Storage, HDInsight, Azure SQL, Delta Tables) and GCP services (BigQuery, BigTable, DataProc).

• Proficient with data processing tools such as Spark, Kafka, Pig, and Apache Nifi.

• Expertise in scheduling and managing jobs using Oozie, Run Deck, and Cron jobs.

• Strong experience with NoSQL and SQL databases like Hive, HBase, Apache Kudu, and MySQL.

• Strong programming skills in Python, Java, and shell scripting to automate processes and workflows.

• Experience with version control tools like Git, TFS, and SVN.

• Experience with Cloudera and HortonWorks Hadoop distributions.

• Familiarity with BI tools for data visualization and reporting (e.g., Tableau, Power BI).

• Knowledge of advanced frameworks like Apache Kafka, Apache Flume, and Apache Solr.

• Strong analytical and problem-solving skills with the ability to quickly adapt to new technologies and complex data challenges.

• Proven experience in leading teams and mentoring junior developers and engineers.

Responsibilities:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

The successful candidate will play a pivotal role in designing and implementing solutions for automating data services processes. This position requires strong technical expertise, analytical problem-solving skills, and effective collaboration within a team-oriented environment.

Key Responsibilities:

• Develop, deploy, and maintain automation solutions for data services.
• Write efficient and maintainable code using Python, SQL, and PL/SQL.
• Leverage CI/CD pipelines to enhance deployment and automation processes.
• Work with data warehouses such as Snowflake and Oracle to optimize data workflows.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Troubleshoot and resolve issues in automation systems and data pipelines.
• Contribute to the continuous improvement of existing processes and technologies.

Mandatory Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficient in Python, SQL, and PL/SQL.
• Experience with CI/CD pipelines for automation and deployment.
• Familiarity with data warehouses like Snowflake and Oracle.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in data engineering or data services roles.
• Familiarity with cloud platforms and big data technologies.

EA License Number : 11C4879

Overview:

As a Power BI reporting Lead (Sr Cons, Data Engineering), you will spearhead our efforts to transform and elevate our data visualization and reporting capabilities. Your expertise in Power BI, coupled with your experience in report migration, will be instrumental in guiding our organization through the transition from various platforms to Power BI. You will lead a team dedicated to creating insightful, dynamic reports and dashboards that empower decision-makers with real-time data.

Key Responsibilities:

• Design, develop, and maintain advanced Power BI reports and dashboards.
• Lead the migration of reports from other BI tools (such as Tableau, Qlik, Excel, etc.) to Power BI, ensuring accuracy, efficiency, and minimal disruption to business operations.
• Work closely with business stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
• Establish and enforce best practices for Power BI report development, including data modeling, data blending, and visualizations.
• Provide technical leadership and guidance to the Power BI team, including training and mentorship.
• Collaborate with IT and data management teams to ensure seamless data integration and compliance with data governance standards.
• Stay abreast of the latest Power BI features and updates, evaluating and implementing them to enhance our reporting capabilities.
• Manage the Power BI service, including workspace administration, report publishing, and user access management.
• Conduct performance tuning and optimization of Power BI reports to ensure fast load times and a smooth user experience.
• Document all report migration processes and develop guidelines for future migrations.

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Analytics, or a related field.
• Minimum of 8 years of experience in data analysis and report development, with at least 5 years focused on Power BI.
• Proven experience in migrating reports from other BI platforms to Power BI, including knowledge of different migration tools and techniques.
• Strong understanding of data modeling, SQL, and DAX.
• Excellent analytical and problem-solving skills, with the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Demonstrated ability to lead and mentor a team of analysts or developers.
• Excellent communication and interpersonal skills, with the ability to interact effectively with all levels of the organization.
• Experience with data governance and compliance requirements.
• Familiarity with Power BI administration and workspace management.

Preferred Skills and Qualifications:

• Certification in Power BI or other relevant BI tools.
• Experience with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Knowledge of Python or R for data analysis and visualization.

Job Description:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
• Skills:Data analytics, Quantexa,Spark,Scala,Elastic search,AWS,Azure,GCP, Analytics.

Requirements:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We are looking for an experienced Data Scientist to join our team and help us grow our international advertising business, international expansion is critical to Pinterest success. As a key member of our team, you will be responsible for developing and implementing innovative and effective data-driven strategies that can significantly enhance decision-making. Accuracy, a keen eye for detail, and a hands-on approach are essential qualities that we are looking for in this role. This role collaborates with Product Managers and Engineering to find the best ways to grow this critical advertising group.

What you’ll do

• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric
• Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
• Leadership and Partnership: Lead the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Partner with cross-functional teams to ensure they are held to rigorous data standards and are using data to aid each decision being made.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Proficiency in SQL/Hive/Python
• Strong proficiency in both English and Mandarin for effective communication with internal teams and external partners.

The best candidates will also have:

• Strong sense of ownership, willingness to dive in and do work, even if it's not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn't think any work is below them.
• Impact-driven mindset. Proven track record of making things happen.
• Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn't write elegant solutions to the sorts of algorithm questions often found in coding interviews.
• Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month).
• Data skepticism and curiosity. Doesn't think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets.
• Strong communication skills. Explains work and thought processes clearly and concisely.
• Desire for simplicity. Don't strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

The Data Analytics Lead will spearhead the analytics team, ensuring that data-driven insights are effectively used to shape company strategy and drive business outcomes. This role requires a deep understanding of data modeling, reporting, and analytics tools to enhance decision-making across various departments. The ideal candidate will have a proven ability to work cross-functionally and deliver high-quality analytics projects.

Key Responsibilities:

• Lead and manage the data analytics team to deliver actionable insights that support business decisions and improve company performance.
• Develop and implement analytics strategies and frameworks to solve complex business problems.
• Oversee the design, development, and maintenance of data pipelines, dashboards, and reporting systems.
• Collaborate with cross-functional teams (e.g., Product, Marketing, Finance) to identify data needs and translate business requirements into technical specifications.
• Ensure data integrity and consistency by defining best practices for data collection, storage, and analysis.
• Mentor and provide technical guidance to junior team members to enhance their analytical and technical skills.
• Present findings to senior management, providing strategic recommendations based on data insights.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics to continuously improve the team’s capabilities.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
• Strong expertise in data analytics and visualization tools, SQL, Python, R, Tableau, Power BI etc.
• Experience with data warehousing solutions, cloud platforms and ETL processes.
• Excellent problem-solving skills, with a proven ability to analyze complex datasets and communicate findings in a clear, actionable manner.
• Bilingual proficiency in English and Chinese, enabling effective communication across multilingual teams and stakeholders.

Data Engineer ( Informatica and Azure Data Factory)

Job Requirement:

• Data Engineers with experience in Informatica, Azure Data Factory or Databricks, or Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud.
• Build and manage ETL and ETL data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Job Scope:

1. Input up-to-date research findings and prospect data into database.
2. Conduct simple research on prospective donors using public sources to help identify new individuals and corporates who could donate, and to help compile profiles to prepare fundraisers.
3. Compile and update donation and fund related information in the departments CRM database.
4. Provide support in preparation of data for development of new data analytics projects, e.g., studying effectiveness of email content.
5. Other basic database admin connected to prospects and donors.

Working Arrangement:

Working Hours:

Location: Nanyang Avenue

Salary: $2000-$2800/Month

Contract Duration: 6 Months (renewable subject to performance)

Requirements:

1. Minimum A-Levels/Diploma qualification
2. Possess experience working on databases and reviewing and collating quantitative data or qualitative information from public sources.
3. Possess some research experience and skills (e.g. academic/study research, market research, fundraising research).
4. Knowledge of MS Office applications including MS Excel and Word.
5. Ability to work on tight deadlines and work independently and in a team.
6. Demonstrate resourcefulness and flexibility.

EA License No.: 96C4864

Reg. No.: R22110485

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

• Assist in organizing and maintaining data governance documents and policies.
• Help monitor data quality and flag any issues.
• Support the team in maintaining data records and updating data dictionaries.
• Work with different teams to resolve simple data-related issues.
• Assist in generating reports on data quality and governance activities.
• Assist in the activities related to Data Governance framework implementation within CGSI group.

Job Requirements

• 0-2 years of experience in data management or related field.
• At least Diploma in Computing or a related field.
• Basic understanding of data management/governance concepts
• Strong organizational skills
• Familiarity with Microsoft Excel or basic data tools is a plus
• Good communication skills
• Preferably has experience working with cross-geographical teams
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate