As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

JLL’s mission is to enable our teams to deliver future proof, consistent, scalable, customer centric services and experiences.

At JLL, we value what makes you unique, and we’re committed to giving you the opportunity, knowledge and tools to own your success. Explore opportunities to advance your career from within, whether you’re looking to move up, broaden your experience or deepen your expertise.

As the business continues to grow, the Data Analytics Engineer role will help underpin the business transformation. It will support steering the technical ship from a data, insights and reporting perspective. It will be heavily business facing and will be highly regarded internally.

As a Data Analytics Engineer, you will play a crucial role in our data initiatives by designing, developing, and maintaining robust data pipelines. You will be responsible for extracting, transforming, and loading data from various sources, including the JLL Data Warehouses, into Google Cloud environment.

We are looking for a Data Analytics Engineer working in the Business Intelligence area:

• with hands-on experience in Business Intelligence tools and databases
• problem solver with strong analytical skills
• with experience in solutions delivery for both internal and external clients
• experience in using visualisation software like Tableau, Power BI, Google Looker Studio for development
• experience with data modelling / transformation, ETL (Extract Transform Load) development (SQL)
• Experience with data storage solutions such as BigQuery, DataBricks, SQL Server
• Experience with data analytics in cloud platforms like GCP or Azure.

Responsibilities:

• Data Ingestion: Design and implement efficient data ingestion pipelines to extract data from JLL Data Warehouse and other sources. Leverage SQL, APIs, Azure/GCP functionalities, and other relevant tools to extract, transform, and load data for analysis.
• Data Transformation: Transform and clean data to ensure data quality and consistency.
• Data Loading: Load transformed data into Google Cloud Platform (GCP)
• Data Modeling: Develop data models to support reporting and analytics.
• Data Pipeline Optimization: Monitor and optimize data pipelines for performance and reliability.
• Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs.

Requirements:

• Technical Skills: Strong proficiency in SQL, Python, and GCP data services
• Cloud Experience: Experience with cloud platforms, particularly GCP.
• Data Warehousing: Knowledge of data warehousing concepts and best practices.
• ETL/ELT: Experience with ETL/ELT processes and tools.
• Data Modeling: Ability to design and implement data models.
• Problem-Solving: Strong analytical and problem-solving skills.
• Communication Skills: Effective communication skills to collaborate with technical and non-technical stakeholders. Fluency in English is essential.

What you can expect from us:

• We succeed together and believe the best inspire the best, so we invest in supporting each other, learning together and celebrating our success.
• Our Total Rewards program reflects our commitment to helping you achieve your career ambitions, recognizing your contributions, investing in your well-being and providing competitive benefits and pay.

Great Opportunity for a Data Protection/Data Privacy/Data Loss Prevention specialist to join an international bank as a Data Protection Officer covering the APAC region

Job Description:

Direct Responsibilities

• Contribute to relevant personal data protection activities realization
• Guarantee required norms and methods definition and application to a company’s good data protection risks apprehension (follow-up of projects, information systems adaptation, declarations conception and maintenance, subcontractors contracts analysis, follow-up on control plans reporting, etc.)
• Guarantee advice and assistance to strategical program ongoing.
• Support the implementation of the privacy strategy defined by APAC DPO
• Assist the APAC DPO in the supervision and monitoring of implementation of the Group's Data Protection policies and guidelines, bearing the local regulatory requirements in mind, to ensure consistency
• Define action plans and corrections related, and to ensure application of the same
• Alert APAC DPO when activity is under operational risk (non-appropriateness between needs and resources, etc.), to propose correction solutions and to implement those solutions
• Contribute to continuous efficiency improvement and to any optimization process.
• Contribute to operational activities achievement
• Adjudicate or mediate APAC DPO engaging decisions, emergencies and escalated issues
• Contribute to permanent control actions
• Contribute to perform LOD2 controls and challenge LOD1
• Contribute to perform the check and challenge of the RCSA
• Contribute to RISK ID exercise
• Contribute to OR&C report
• Ensuring professional network development
• Participate in local Data Protection Committees when requested by the DPO
• Contribute to Internal Control Committee
• Collaborate with local CROs and RISK teams

Supporting Responsibilities

• Assist the DPO on exchanges with the authorities in charge of the protection of personal data under the responsibility of the DPO
• Assist the DPO in the supervision and implementation of Privacy by Design principles throughout the lifecycle of all projects, activities, products, services, processes and systems
• Contribute to role development by validating data protection requirements for new activities, new products, services or specific operations, and to carry technical assistance
• Receive, process and advise internal and external local solicitations about data protection
• Receive, process and advise requests from data subjects, subcontractors and partners etc.
• Itemise existing processes and identify breaches regarding data protection requirements (APAC local regulation & GDPR requirements)
• Contribute to perform risk assessment on personal data breaches
• Assist the DPO in monitoring documentation, e.g. the RoPA (Register of Processing Activities)
• Contribute to the identification and notification process for data protection violations according to defined procedures and local legal requirements
• Realize effectiveness for data protection controls and to ensure expected reporting
• Ensure regular reporting to APAC DPO about the activity
• Assist the DPO, where required, with local language nuances, law and practices.
• Contribute in the creation and implementation of awareness programs and to the promotion of a culture of protection of personal data within the scope of responsibility.

Job Requirements:

• Degree holder in legal, business or computer science or IT
• At Least 5 years of relevant experience in IT risk, Cyber security, Data Protection and related regulatory topics
• CIPP Certification or similar privacy certificate would be a plus
• Good understanding of EU GDPR with IAPP/E certification
• 3-5 years relevant working experience in privacy is a minimum
• 5-8 years of total working experience
• Previous APAC or cross-territory experience preferred
• Experience in senior level reporting and discussion

Admin Executive

• Salary: $3,200-$4,000
• Mon to Friday 8am to 5pm
• Location: Penjuru Lane

Roles & Responsibilities

• Prepare correspondence emails, letters, statements, documents, and reports
• Draft company's policies, regulations, rules, and supervise the implementation.
• Manage filing and document control for company policies, regulations, SOPs, contracts & agreements, reports, and other administrative documents.
• Possess legal knowledge and liaise with lawyers when required.
• Fully in charges the administration department and manage administrative issues for the company.
• Process administrative work related to government authorities, associations, the company’s head office, customers, and visitors.
• Handle administrative and logistical arrangements for customers and visitors.
• Organize events by coordinating with relevant departments for planning and implementation.
• Collect training requirements from relevant departments, prepare the company training plan, and supervise its implementation.
• Collect and arrange daily and weekly activities for company management.
• Manage vehicles and drivers for the company.
• Provide backup support for colleagues in IT and HR positions.
• Undertake any other ad-hoc tasks and duties as assigned by superiors.

Job Requirements

• Min 2 years of working experience in administration

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

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Title: Senior Data Administrator (Senior Database Administrator)

About the Role

We are looking for a skilled and experienced Senior Database Administrator .

The ideal candidate will play a critical role in managing and maintaining databases, ensuring their performance, reliability, and security. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate with a dynamic team.

Key Responsibilities

1. Database Monitoring & Management:Monitor database storage, utilization, and growth.
   Identify and resolve performance or capacity issues and provide recommendations.
   Conduct regular maintenance to ensure optimal database health.
   
2. User Management:Manage user accounts, access rights, roles, and profiles.
   
3. Backup & Recovery:Plan, perform, and validate database backups.
   Conduct annual restoration exercises.
   
4. Database Operations:Deploy database scripts and manage objects.
   Perform reorganizations, upgrades, and patch management.
   
5. Monitoring & Troubleshooting:Monitor alerts and logs; perform first-level troubleshooting when required.
   
6. Documentation & Compliance:Document and maintain SOPs and administration guides.
   Conduct disaster recovery tests as per customer requirements.
   

Requirements

Mandatory Skills:

• Proficiency in Azure and AWS RDS, MSSQL, and Oracle databases.

Experience:

• 5+ years in MSSQL administration.
• 3+ years in Oracle Database administration.
• 3+ years of exposure to Azure and AWS RDS databases.

Certifications:

• MSSQL: Microsoft Certified Solution Associate (SQL Database Administration).
• Oracle: Oracle Database Administrator Certified Professional.

2. Position Title: Senior Data Engineer

Experience Required: 5-10 Years

Position Summary:
We are seeking an experienced Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will have a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using Apache Airflow, Apache NiFi, Kafka, PySpark, Spark Scala, and other key technologies. Candidates with proficiency in Python, Java, and shell scripting are highly preferred.

Key Responsibilities:

• Data Pipeline Design & Management:
  Design, build, and maintain scalable and reliable data pipelines to support both real-time and batch processing requirements.
• Workflow Optimization & Monitoring:
  Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality, integrity, and system performance.
• Data Integration:
  Develop and integrate data flows using Apache NiFi to ensure seamless data ingestion and transformation processes.
• Real-Time Data Streaming:
  Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Data Processing Solutions:
  Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Automation & Scripting:
  Write efficient code in Python and Java to automate data workflows and support data engineering needs, utilizing shell scripting for operational tasks.
• Cross-functional Collaboration:
  Collaborate with cross-functional teams to understand data requirements and provide optimized engineering solutions.
• Data Security & Compliance:
  Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuous Improvement:
  Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow:
  Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi:
  Strong experience in designing data flows for ingestion and transformation.
• Apache Kafka:
  In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala:
  Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages:
  Strong experience with Python and Java, with additional expertise in shell scripting.
• Big Data Knowledge:
  Familiarity with big data ecosystems and distributed data processing.
• Problem-Solving & Teamwork:
  Ability to work independently and collaboratively in a fast-paced environment, solving complex data engineering challenges.

Educational Qualifications:

• Required:
  Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Cloud Experience:
  Experience in cloud environments (AWS, GCP, Azure) with big data components.
• Version Control & CI/CD:
  Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Analytical & Communication Skills:
  Strong analytical, problem-solving, and communication skills.

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.
• Writing SQL queries to retrieve information quickly.
• Fulfil ad-hoc data request from client and management.
• Work / Collaborate with Developer(s) to automate reports
• Liaise with client on data related queries
• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to inform operational improvements and strategy.
• Collaborate with management and other departments to develop actionable insights and recommendations.
• Support the implementation of process improvements based on data findings.
• Ensure data integrity and accuracy.
• Assist in forecasting demand and capacity planning based on historical data trends.
• Stay updated on industry best practices and emerging technologies in data analysis.
• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:
• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.
• At least 1 to 3 year of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).
• Proven experience in data analysis, preferably in a contact center environment.
• Strong communication and presentation skills
• Proactive and able to work independently with minimum supervision.
• Excellent time management with strong critical thinking and ability to handle pressure.
• Detail-oriented with a strong focus on accuracy and data integrity.
• Familiarity with statistical analysis and modeling.

ideally candidates who have contact center experience

working location at Suntec

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

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

Responsibilities :

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

• Writing SQL queries to retrieve information quickly.

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

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

• Liaise with client on data related queries

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

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

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

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

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

• Ensure data integrity and accuracy.

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

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

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

Qualifications and Skills:

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

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

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

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

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

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

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

• Familiarity with statistical analysis and modeling.

Job Purpose

The Customer Analytics, Reporting and BI team manages data projects, data pipeline and data analytics to maximize the potential of data, uncovering valuable business insights for Group Customer and Digital Division. Leveraging advanced data analytics and visualization, the team enables senior stakeholder to interpret the story behind the number, driving more informed strategies and initiatives.

The Senior Analyst (Data Analytics & Visualisation) plays a pivotal role in managing and enhancing the data analytics assets, which are used to monitor business performance, identify business opportunity and enable data-driven business decision. This role collaborates closely with key stakeholders across multiple departments to apply advanced analytics to generate value-creating insights from big data. The ideal candidate is passionate about creating business impact by using their data expertise and industry experience.

The Job

· Design, build and enhance data analytics assets to ensure relevance and continued usage of the analytics and business intelligence by business users for making informed decisions.

· Support the build of contextual data marts to advance the scalability and reusability of visual and advanced analytics assets.

· Collaborate with business and Group Data independently to manage the entire dashboard development cycle - from gathering and proposing business requirement, designing dataflow and data structure, to developing dashboard and managing the schedule of release.

· Support ad-hoc data analytics and periodic reporting requests.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· BS in Business Analytics, Statistics, Economics, Actuarial Science or equivalent disciplines that focuses on extensive use of data for analysis.

· At least 5 years of experience in managing and delivering multiple requirements for business intelligence and analytics as an individual contributor.

· Proficient in traditional and modern data programming language (e.g. Phyton, SQL, Hive, and PySpark) and data visualization tools (e.g. Tableau).

· Practical knowledge of big data ETL framework and experience dealing with complex data structure.

· Strong business acumen and communication skill; able to bridge the communication between technical and business domains.

· A problem-solver, initiative-taker who can work independently and responsibly with minimal supervision.

· Ability to manage and prioritize requests and tasks while being goal-oriented

· Experience in performing/interpretating advanced analytics (e.g. Statistical or ML-based) is a plus.

· Experience in insurance or financial services industry is a plus.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Description

The Data Analyst is responsible for data preparation and analysis that will draw meaningful insights from complex datasets and help business identify strategies for decision making.

Responsibilities

1. Responsible for data cleansing, validation, aggregation and analysis

2. Develop and maintain analytics reports for strategic and business planning and improvement.

3. Apply statistical modeling techniques to analyze and interpret patterns from large data

4. Meet with key stakeholders to present and review data analysis and reports to support decisions

4.

Qualifications

1. Bachelors Degree in Statistics, Mathematics, Computer Science or related discipline

2. Analytical skills with ability to organize, maintain, process and analyze vast amounts of information and complex issues.

3. Experience in developing or maintaining SAS programs using Base SAS and Macros and SQL.

4. Ability to communicate findings in a clear, concise manner including verbally, graphically and in writing to a variety of audiences.

5. Nice to Have
Experience in visualization software such as SAS Visual Analytics, tableau or Qlikview

5 day week @CCK area (military camp)

Maestro HR

damien lee tian hong

R1106726

16C8462

• Perm
• At least 4 years of experience with strong proficiency in data analysis and utilizing visualization tools such as Tableau and Excel.
• Preferably with experience in SAP
• Keen to explore real estate management industries

Job Responsibilities

• Prepare and maintain monthly and ad hoc management reports to support strategic planning efforts.
• Provide data support during meetings and for ad hoc requests as needed.
• Assist in the implementation of digital transformation and process improvement projects.
• Ensure accurate and timely submission of gross sales turnover reports, along with detailed analysis of rental income, gross sales turnover, and occupancy costs.
• Conduct annual audits of leases and tenants, manage arrears, and handle tenant-related lease management tasks.
• Input and maintain data in the system, ensuring the lease document database is updated and monitored regularly.

Job Requirements

• A degree in Real Estate Management, Business Administration, Accounting, Finance, or a related field.
• 4 to 7 years of relevant experience.
• Proficiency in data analytics and visualization tools such as Tableau and Microsoft Excel.
• Experience with SAP systems and familiarity with the real estate industry is an advantage.
• You should be meticulous, diligent, highly organized, and demonstrate strong self-initiative.
• Excellent communication and interpersonal skills are essential for success in this role.

Triton AI Pte Ltd

Registration Number: R1980724

EA: 21C0661

Position Overview

The data migration and deployment lead will have to plan and execute end-to-end data migration and cutover activities. This lead role will need to liase with legacy systems and incumbent vendors to ensure migrated data is correct and complete according to the scope of work. He or she will also need to liase with various teams across the organization to plan and execute the cutover activities for each site roll out.

Role & Responsibilities

• Lead in data migration of records from existing systems to the new system and lead the system cutover for roll out to respective sites.
• Ensure the data migration and cutover processes, schedule and scope are met.
• Lead team to perform all data migration and cutover activities, data mapping, data collation from existing systems to the new system.
• Prepare data migration specs and cutover specs.
• Conduct code review, unit testing, integration test, data migration verification test, and cutover test activities.
• Troubleshoot issues and propose solutions in line with industry best practices.
• Manage vendors for responsibilities outlined in contracts and statement of work.
• Manage effective data migration uploads for testing and production rollout.

Requirements

• End-to-end experience and knowledge in planning and executing Data Migration tasks, as well as system cutover.
• Knowledge in SAP products such as ISH, BRIM, HANA, FICO would be advantageous.
• Effective vendor management skills required.
• Strong leadership skills required.
• Must be resourceful and take initiative to learn.
• More than 5 years of IT experience, in particular data migration would be an advantage.
• Must have a recognized IT degree.

Sales Executive(Retail Sales)

• 2 Location in Serangoon
• Working Days: 6 days a week (Must be able to work on weekends)
• Working hours : 11am to 9pm
• Salary : $3100 + Comm

Requirement

• Candidate with retail or jewellery experience is an added advantage
• Minimum GCE “N” level
• Candidate with retail or jewellery experience is an added advantage

Job Scope

• Understand and be able to explain to customers the range of Jewelley the company has to offer
• Promote the various products, services and schemes to customers
• Attend to customers and ensure service delivery standards are met in achieving total customer satisfaction
• Achieve monthly sales targets.
• Ensure merchandise and displays are consistently well presented and displayed
• Manage and maintain the overall positive image of the showroom

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

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth. Typical Growth projects including creative generating, attribution, ads bot, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

- Participate in the construction of the indicator system for the international short video business, build reporting systems and other monitoring and early warning tools, and provide data support for business development;

- Support daily business analysis needs, deeply understand the business, clearly explain the business status through qualitative and quantitative analysis, gain insights into business problems, and propose data-driven optimization suggestions or solutions;

- Cooperate with industry research/data engineering/algorithms to support business strategy iteration through rigorous analysis, AB experiments, etc., quantitatively evaluate strategy effects and cost efficiency, and drive improvements in business indicators;

- The mentor provides one-on-one guidance and is good at thinking, summarizing, and precipitating analysis methodologies and data efficiency tools while supporting business development.

Qualifications

Minimum Qualifications

- Final year or recent graduate with a background with statistics, mathematics, computer and other related majors

- Familiar with commonly used statistical analysis methods, and proficient in using SQL, R, and Python languages;

- Familiar with commonly used machine learning tools and deep learning programming frameworks (Tensorflow/PyTorch/Scikit-learn/XGBoost, etc.);

Preferred Qualifications:

- Have excellent problem analysis and problem-solving abilities, and be passionate about solving difficult problems.

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

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

Bloomberg Data Technologies Engineering is seeking a strong Software Engineer with experience designing resilient distributed systems, strong implementation skills, and a passion for user experience of a platform.

Bloomberg delivers billions of data points to our customers each day and our clients heavily rely on comprehensive financial information including real-time market data to identify trends and gain data transparency so they can analyze the value of a potential investment, partnership, or acquisition target. In order to make this analysis possible for our clients, the Data Technologies Engineering department is responsible for designing and building large-scale sophisticated infrastructure and data processing pipelines to acquire financial reference information and pricing data from sources around the world (regulatory agencies, exchanges, central banks, buy-side and sell-side firms, website, news, feeds, etc).

We are Data Technologies Orchestration Platform team, and we develop an orchestration platform for the internal users both Engineers and Data Analysts to create a resilient, performant and easy to use data ingestion / analysis pipeline. Our tools are used extensively within the organization with hundreds of thousands of calls and we are in the process of re-architecting to better address the expanding use cases of our system.

We'll trust you to:

• Work with us to design the user-friendly, fault tolerant and scalable Orchestration Platform
• Participate in the full SDLC of various components and systems that make up of the orchestration platform
• Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams so that we can help more effectively
• Have your antenna up and bring the latest development in OSS into the development

You'll need to have:

• 4+ years experience writing production code in either Python, Rust, Go, JavaScript/TypeScript in a corporate environment
• 4+ years experience building fault-tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
• Having experience building client facing (internal or external) platform at scale
• Bachelor’s degree or degree-equivalent qualifications in Computer Science (or similar field of study)
• Fluency in both written and spoken English
• Demonstrated continuous career growth within an organisation

We'd love to see:

• Knowledge of Database Systems and trade offs in the distributed systems
• Experience working with distributed queue systems like Apache Pulsar, Kafka, RabbitMQ, ActiveMQ and Database Systems like Cassandra, PostgreSQL etc
• Experience with DataFrame processing systems like Pandas, Polars, Spark, Modin, Ibis and declarative languages on top of it like SQL variants and substrait
• Familiarity with API Designs
• Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, etc.
• Experience working with and designing systems utilizing AWS

Accountant (1 year contract)

Location: Boon Lay

Working Days: Monday- Friday, 5 days

Working hours : 8am to 530pm

Salary : $5,500 - $5,800

Responsibilities

• Manage the full set of accounts, include reviewing and posting of all journal entries
• Ensure that Account Receivable/Payables Sub Ledgers to General Ledger and the bank accounts to the bank statements are reconciled
• Prepare monthly and yearly management reporting package, including financial statements, relevant schedules and perform variance analysis on the financial performance
• Prepare information and schedule as requested by Parent company
• Prepare and file all requisite regulatory and tax submission i.e CIT, GST, WHT, COR, transfer pricing
• Prepare analysis on budget and forecast
• Prepare government surveys
• Liaise with external audit teams and tax consultants to compile requisite schedules and information (including ECI, annual tax filling, tax queries)
• Advise AR/AP on the correct GL account code and GST code entries
• Oversee the Accounts Staff in the Customer master creation, billing, collection, contra, SOA and reporting activities according to the specific deadlines
• Monitor debtor's aging and ensure Accounts Executive follow up on the collection
• Systems and projects: Participate in systems changes/testing/implementation and other projects when required
• Any other duties to be assigned from time to time

Requirements

• Bachelor's degree in Accounting, Finance, or related field
• Relevant accounting certifications (e.g., CPA) are a plus
• Experience with SAP system and Accounting Reporting Standards

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

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities:

· Developing new partners to increase channel breath, also to enhance the existing partner’s business to boost channel depth.

· Identify opportunities in the end users’ space and coordinate with partners on the sales and project fulfilment.

· Based on the corporate strategy, regional and industry business objectives, gain insight into business opportunities, develop and execute key customer development strategies.

· Collaborate with all parties to plan, design, deliver, and accept customers' and partners' data center solutions. Through end-to-end project operation and customer relationship management, take responsibility for data center integration project operation, revenue target achievement, and customer satisfaction.

· Build organizational relationships with partners and customers and continuously expand new customers and partners.

· Managing weekly reporting of pipeline and forecast.

· Planning and conducting sales workshop, product seminars and trade shows.

· Preparing presentations, reports, and commercial quotations.

Requirements:

· Bachelor degree or above, majored in Business administration/Mechanical/Electrical engineering, etc.;

· Proficiently use office software such as Word, Excel, and PowerPoint.

· Good communication, presentation and collaboration skills.

· At least 2 years of dedicated data center infrastructure solution sales/service or design experience, with good network of Channel Partners or Contractors.

· Channel Sales and Account management experience

· Dynamic individual who is passionate to join a fast-growing team with a track record of achieving result

· Be able to understand customers' business, and strategic requirements, influence customers' plans and budgets, and design solutions based on customer requirements

· Partner and customer communication and guidance: Be able to influence partner/customer decision-making supporters/decision makers, effectively transfer product and solution values, establish a good trust relationship with customers, and influence customer decision-making

· Proficiency in both Mandarin and English is essential to effectively communicate with Chinese speaking head office, stakeholders, counterparts, and customers.

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.

Responsibilities:

• Collect, clean, and analyze large datasets from various sources including booking systems, cargo flow modules, management reporting and customer databases
• Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs) for various trade teams to make informed decisions
• Assist with the implementation of eCommerce projects and optimization of corporate systems, data and tools to enhance department productivity
• Identify patterns, trends, and anomalies in shipping data to optimize cargo selections, routing management, and inventory management
• Collaborate with cross-functional teams including, finance, logistics and operations to implement data-driven solutions and process improvements
• Steer improvement mindset and adoption of new technologies & processes
• Present findings and actionable recommendations to stakeholders through clear and concise reports and presentations

Job Requirements

• Bachelor's degree in Maritime, Data Science, Statistics or equivalent with at leats 1-2 years of experiences is advantageous
• Possess excellent data management, spreadsheet, and presentation skills.
• Knowledge in Tableau, Power BI preferred

If you meet the requirements of this role, please email a detailed resume in Word document to Chloe Tan Hui Lin.

Chloe Tan Hui Lin
CEI Registration No.: R1765524
Email: [email protected]
Recruit Express Pte Ltd
EA99C4599

*All information will be treated with strictest confidence. We regret that only short-listed applicants will be notified.

Responsibilities:

· Developing new partners to increase channel breath, also to enhance the existing partner’s business to boost channel depth.

· Identify opportunities in the end users’ space and coordinate with partners on the sales and project fulfilment.

· Based on the corporate strategy, regional and industry business objectives, gain insight into business opportunities, develop and execute key customer development strategies.

· Collaborate with all parties to plan, design, deliver, and accept customers' and partners' data center solutions. Through end-to-end project operation and customer relationship management, take responsibility for data center integration project operation, revenue target achievement, and customer satisfaction.

· Build organizational relationships with partners and customers and continuously expand new customers and partners.

· Managing weekly reporting of pipeline and forecast.

· Planning and conducting sales workshop, product seminars and trade shows.

· Preparing presentations, reports, and commercial quotations.

Requirements:

· Bachelor degree or above, majored in Business administration/Mechanical/Electrical engineering, etc.;

· Proficiently use office software such as Word, Excel, and PowerPoint.

· Good communication, presentation and collaboration skills.

· At least 2 years of dedicated data center infrastructure solution sales/service or design experience, with good network of Channel Partners or Contractors.

· Channel Sales and Account management experience

· Dynamic individual who is passionate to join a fast-growing team with a track record of achieving result

· Be able to understand customers' business, and strategic requirements, influence customers' plans and budgets, and design solutions based on customer requirements

· Partner and customer communication and guidance: Be able to influence partner/customer decision-making supporters/decision makers, effectively transfer product and solution values, establish a good trust relationship with customers, and influence customer decision-making

· Proficiency in both Mandarin and English is essential to effectively communicate with Chinese speaking head office, stakeholders, counterparts, and customers.

Next Step

Click “apply” or send resume to: Ryce [email protected]

EA Licence No.91C2918| Personnel Registration No. R23117258

Job Description: Data Analyst

As a Data Analyst at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Computer Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 2 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Data Entry Clerk | Up to $2.1k | Penjuru (moving to Senoko in 2025)

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)

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
• Any other ad-hoc duties

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant