Job Descriptions:

• Receive training about BI (Business Intelligent) products, data analysis and project management;
• Execution of data validation, data mining and data analysis activities;
• Assist Lead Data Analyst (LDA) with BI project implementation leveraging Yonyou BI product (integrated with Yonyou EPR system and Cloud Platforms) ;
• Assist LDA in drafting the scope of BI project, and confirming the project timeline.
• Prepare technical documentation and other deliverables to meet the project requirements, and Summarize the best practice of software solution implementation project implementation.

Requirements:

• 3 years of experience in Data Analyzing preferably in the fields in Business applications and cloud solutions, ERP experience
• Graduated in Data Science, Information Technology, and Business Analyst.
• Preferably familiar with database tools such as SQL query and has experience in DBMS e.g. SQL Server, Oracle will have an advantage.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue
• Excellent problem-solving and analytical skills and good verbal and written communication skills.
• A team contributor who can learn fast, perform under pressure and excel in a fast-paced environment.
• Fluency in both English and Mandarin is required to liaise with English and Mandarin-speaking associates.
• Will be based in Singapore and travel for overseas projects in Southeast Asia

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Summary:

We are seeking a skilled Data Engineer with 3 to 5+ years of experience in Databricks and Python to join our dynamic team. The ideal candidate will play a key role in designing, developing, and optimizing data pipelines and analytics solutions on Databricks. Experience with AWS Cloud is highly preferred.

Key Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Optimize and troubleshoot existing Databricks workflows for performance and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement data processing solutions using Spark in Databricks.
• Integrate and manage data from multiple sources, ensuring accuracy, quality, and consistency.
• Leverage AWS cloud services (e.g., S3, Lambda, Redshift, Glue) for data storage, transformation, and analytics.
• Perform data profiling and validation to ensure the reliability of processed data.
• Monitor and maintain data pipelines for continuous performance improvements and error handling.

Required Skills:

• 3-5+ years of hands-on experience with Databricks and Python development.
• Strong expertise in PySpark and data transformation techniques.
• Proficiency in writing optimized, efficient, and scalable Python code.
• Experience with SQL and relational databases for data querying and manipulation.
• Familiarity with AWS services (e.g., S3, EC2, RDS) and cloud-based data engineering concepts.
• Knowledge of version control systems such as Git.
• Strong problem-solving and analytical skills with a focus on data processing and integration.

Preferred Skills:

• Working experience with AWS Redshift, Glue, or Athena.
• Familiarity with CI/CD pipelines for data engineering projects.
• Exposure to data visualization tools or frameworks.
• Knowledge of data security best practices and governance principles.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Relevant certifications in Databricks, AWS, or Python development are a plus.

Role

This position is expected to base in Singapore with focus in both presales and post-sales activities . He/she is expected to support senior to develop data privacy proposal or response to Request For Proposal (RFP) and support seniors in the implementation of the Data Privacy Framework or/and Data Privacy Management Software for the regional customers. This candidate can expect to acquire knowledge/experience of end-to-end ie from pre-sales to post-sales.

This candidate may from time to time being assigned project to carry out either the whole implementation or partial phases depending on the resourcing plan. This role is expected to be an integral part of the team to deliver quality implementation of our services to our customer.

Company Profile

CNAV Business Value is an organization with South-East Asia presence founded in year 2008. It has been partnering with globally recognized Data Privacy and Cybersecurity vendors such as Symantec, Trellix, Opentext/MicroFocus, Securiti Inc, Rubrik etc. Employees are constantly exposed to the leading-edge Data Privacy and Cybersecurity solutions that are undertaken by big enterprises.

CNAV is a Data Security and Data Privacy Solution Provider specialized in managing turnkey projects, providing services including but not limited to Data Security and Data Privacy based on business requirement with focus in complying to Data Privacy acts in SEA such as PDPA in Singapore, Thailand and Malaysia, PDPD in Vietnam and PDP Law in Indonesia.

Duties

The expected duties of this role are as follow:

1. Supporting Sales on crafting out solution proposals or response to an RFP
2. Furnish sales proposal with write-ups
3. Research on respective regulations if applicable
4. Present proposal to customer
5. Carrying out implementation of solution in whole or partial phases for projects
6. Develop framework, privacy policies, procedures and notices for customers
7. Assist Consultant in conducting workshops and aid in developing data inventory maps or records of processing activities
8. Carry out as a Business Analyst role for the implementation of the privacy product purchased by customer
9. Conduct training

Qualification

The expected qualification is as follow:

1. Diploma or Degree in either Business Administration, Banking or equivalent
2. At least 3 years of providing data privacy consulting or relevant experience especially some exposure in Singapore PDPA, Indonesia PDPL or EU GDPR will be an advantage
3. Meticulous in reading and crafting documents
4. Fluent in English
5. Ability to speak in other languages such as Bahasa Indonesia, Bahasa Malaysia or Vietnamese is advantage
6. Good interpersonal communication skill
7. Ability to work without supervision
8. Passionate about achieving customer satisfaction
9. Some interest in Information Technology and prepared to pick up new technology related to data privacy
10. No issue in traveling in SEA

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

Key Responsibilities:

• Data Analysis: Collect, process, and analyze large datasets to uncover trends, patterns, and insights
• Reporting and Visualization: Create engaging dashboards and reports using tools like Power BI, Tableau, or Excel to support key business decisions
• Collaborative Problem-Solving: Work closely with cross-functional teams to identify challenges and present data-driven solutions
• Predictive Modelling: Apply statistical models and machine learning techniques to forecast trends and behaviors
• Data Quality Assurance: Ensure accuracy, consistency, and reliability of data through effective validation processes
• Business Insights Delivery: Translate complex data into simple, actionable recommendations for stakeholders
• Technology Adoption: Stay updated on the latest data analysis tools and methodologies to enhance our processes
• Innovation and Growth: Contribute fresh ideas to improve data systems and processes, fostering a culture of continuous improvement
• Stakeholder Engagement: Present findings and insights to internal and external stakeholders effectively
• Professional Development: Participate in training and mentorship programs to advance your technical and analytical skills

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with a keen attention to detail
• Excellent communication skills to convey complex information effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involve in the creation of documentations e.g. design documents, troubleshooting guides etc.

Requirements

Education / Experience:

Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline

Preferably 1 - 4 years' of working experience in related fields.

Skill Sets:

Knowledge and/or experience in data management or data engineering

Experience with Linux commands and shell script

Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)

Knowledge and/or experience in one or more of the following will be an advantage:

• Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
• Data integration tools such as Talend, DataStage, Denodo
• Programming languages such as Python, Spark
• Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
• Analytics platforms such as Databricks, Dataiku, Data Robot

Good problem-solving skills

Able to work independently and as a team

Job Opportunity: Join a Team Driving Digital Excellence

Be part of a dynamic team committed to achieving Digital Excellence. Work alongside like-minded individuals to provide Production Support across various Digital Platforms. These platforms include Digital Channels (e.g., consumer-facing websites, mobile apps) and Digital Enablers (e.g., Payments, Notifications, Identity & Access Management).

Job Description:

• Configure products and services for digital offerings.
• Set up promotions for available products and services.
• Manage website content as a webmaster using Adobe Experience Manager (AEM).
• Configure and maintain content, products, and services on digital platforms.
• Support weekly operational tasks to enable business functions.
• Collaborate with internal stakeholders (designers, user experience specialists, marketing, etc.) to meet business requirements.
• Create and manage microsites for campaigns.
• Document key processes and provide training to stakeholders.

Job Requirements:

• Minimum Diploma qualification.
• Entry-level graduates in Digital Media, Multimedia, or IT are welcome to apply.
• Strong communication skills and attention to detail.
• Understanding of effective experience design principles.
• Knowledge of SEO, HTML/CSS, and JavaScript is an advantage.
• Strong communication and project management skills.
• Experience with tools such as Adobe Experience Manager or UI Path is a plus.

Next Step:

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package. Simply click on 'Apply here' to drop your resume or email at [email protected].

Susmita Sahu

EA License No: 91C2918

Personnel Registration Number: R23114076

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Want to make a difference of yourself with personal and future growth?

Start your journey with us to make a difference!

We're currently seeking talents to groom the next stage of the business, sales and marketing.

In the company, we build important of commuication skills and teamwork. We are also seeking dynamic individuals who are eager to learn and grow with our innovation team.

Responsibility:

- Conduct sales and marketing activities through different channels arranged by the company to connect clients with the right customer base
- Build strength, increase public awareness of our clients’ presence and services

Benefits:
- 1-1 Coaching & Guidance
- Advancement Opportunity
- Travel Exposure
- Team Building
- Vibrant Environment


Requirement:

- Strong Interpersonal and Communication skills
- Team-Oriented Player
- Reliable personality when engaging with team and clients
- Student Learning Mentailty

No experience required. Entry level candidates are welcome to apply!
Apply now!

Responsibilities

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 imaginations 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.

About the Team

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the Role

We're looking for a highly capable Data Solutions Manager to build the next generation of data solutions in support of industry leading products and services in the space of Monetization and Integrity that TikTok provides. You will be assessing business needs, innovating across your given resources, and navigating across both business and technical XFN stakeholder teams. You will design solutions to build data labeling at scale, using state-of-the-art algorithms and recognition models to improve datasets and optimize the requirement handling mechanism and process. You will also drive analytics and insights to aid business decisions and the quantification impact of initiatives through scientific approaches (like experimental designs).

Responsibilities

1. Work closely with stakeholders to capture requirements for data labeling projects;

2. Track the progress of data labeling projects and manage resources to ensure timely completion;

3. Develop strong relationships with XFN partner teams to deliver efficient data solutions that support revenue generation and cost savings;

4. Translating complex business requirements into technical product solutions;

5. Enhance on the service and quality of labelled data delivery;

6. Innovate across multiple different data product types to reduce cost and increase impact;

7. Utilize experience to recommend the right machine learning techniques to the appropriate business use-cases; 8. Experience the entire model pipeline from data gathering to model delivery and maintenance;

What you will need

1. Solid foundations of statistics and data science/analytics projects management is preferred;

2. Outstanding skills of communication, collaboration, project management, problem solving, and an excellent team player;

4. Strong interest in process optimisation and improvement;

5. Highly conscientious with good attention to detail;

6. Experience in artificial intelligence, computer vision, and machine learning techniques and other fields are highly preferred.

Qualifications

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience;

2. Experience with writing and optimizing SQL, and with one general purpose programming language (e.g., Java, C/C++, Python);

3. Experience in data analytics and data visualization.

Preferred Qualification:

1. Experience in client facing roles/consulting preferred.

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.

Job Responsibilities:

• Process accounts payable and receivable transactions, including invoicing and payments
• Reconcile bank statements and general ledger accounts to ensure accuracy
• Prepare and review financial statements, including balance sheets, income statements, and cash flow statements
• Ensure completion of vendor master request forms and acknowledgement of direct credit authorisation forms from the bank.
• Assist in mail sorting as rostered.
• Other ad-hoc duties as assigned.

Requirements:

• Min A Levels / Nitec/Diploma in Accountancy
• Proficient in Basic Microsoft Excel
• Experience in SAP is an added advantage
• Able to work independently

Commitment: Jan to June 2025

Location: West

For interested candidates, please send your most recent and updated resume to [email protected]
or WA me at +6596698692

Alicia Cheong Ling Wei

R1104785

Recruit Express Pte Ltd

EA License No. 99C4599

Responsibilities:

- Handle applications for work permits and related documents with the Ministry of Manpower (MOM).
- Manage basic accounting tasks.

Requirements:

- Related experience required.
- Strong learning ability and adaptability.

Benefits:

- Annual leave, medical leave, and public holidays in accordance with local labor laws.

Responsible for changing AIA’s analytics landscape by delivering best-in-class advanced data science solutions to drive business growth, improve efficiencies and reduce costs.

Roles and Responsibilities:

· Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements.

· Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.

· Implement machine learning models into production systems through proper MLOps practices and collaborating with relevant stakeholders.

· Develop processes and tools to monitor & analyse model performance, incorporate Responsible & Explainable AI for both traditional and Generative AI and implement improvements as needed.

· Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best practices for coding, modelling, and analysis within the team.

· Drive analytics innovation by keeping abreast of industry’s trends, evaluating, and adapting new and improved data science approaches for the business.

· Develop in depth understanding of the business and be able to advise the business on the technical solutioning by participating in business discussions and presentations as applicable.

Financial and Non-Financial Measures:

· Quality and Timeliness of completion of deliverables

· Effective stakeholder management

· Achieve planned benefits realisation

· Effective problem solving through self or through collaboration with teams

Communication Requirements

· Able to communicate to all levels in the organisation.

· Able to communicate complex model results in a simplified, comprehensible, and convincing manner for non-technical stakeholder audiences through Data & Business Storytelling skills.

Minimum Job Requirements:

· Bachelor’s degree ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Economics, Statistics, Applied Math, Data Science, or another related quantitative field is preferred.

· Approximately 4-6 years of relevant hands-on experience in analytics/data science.

· Experience in Python for data analysis, visualization, and insight generation.

· Experience handling large datasets using advanced SQL/Spark based Big-Data technologies. Knowledge of Databricks is a plus.

· Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint.

· Knowledge of advanced statistical inferencing concepts (Distributions, Regressions, Hypothesis Testing, ANOVA, PCA, Factor Analysis, Feature Selection etc.) and experience with their appropriate applications.

· Knowledge of a variety of machine learning methods (GLMs, Clustering, Decision Trees, Ensemble Models, Time Series etc.) and their real-world advantages/drawbacks.

· Experience in maintaining Machine Learning production systems and MLOps.

· Understanding and experience in implementation of LLM based RAG applications will be a plus.

· Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.

· Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.

· Project management skills and ability to manage multiple priorities.

· Strong sense of urgency, accountability, and ownership to drive business outcomes.

· Passionate about working with numbers.

· A drive to learn and master new technologies and techniques.

We’re searching for an Application Engineer (Data Management / Data Migration) to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, want to exemplify the best, and wish to bring people and technology together like never before, then we would love to have a conversation with you!

What we seek to accomplish together:

• Responsible in data migration process for all phases from data mapping, data Extraction, data Transformation, and data Loading (ETL) in practical with quality
• Requires to manage, and monitor of all data cleansing activities including, support and guidance to business users, support all reporting needs, and data profiling.
• Manage stakeholders and vendors to meet data migration timeline
• Perform data fields / elements mapping with vendor of source data base/tables
• Takes initiative, and drive the data migration project
• Is detailed person ensuring quality and accuracy
• Manage and perform data migration activities
• Plan data migration to meet critical go-live milestones

A little about you:

• Diploma / Degree in Computer Science / Computer Engineering / Information Technology related field, or IT equivalent
• Experience in data migration and data conversion for a large project
• Possess initiative and disposition with a strong commitment and orientation towards results and high-quality standards
• Strong problem-solving skills and ability to think out of the box
• Team player with strong communication and interpersonal skills
• Self-motivator with a positive attitude and with high energy
• Customer focused
• Proficient in written and spoken English
• Able to travel as required

Data System Development

o Design and construct ROI-oriented data systems to evaluate activity effectiveness and optimize operational costs.

o Establish business intelligence (BI) dashboards to visualize core metrics for decision- making.

User Analysis and Personalization

o Perform detailed user segmentation based on demographics, behaviour, and risk appetite.

o Develop user labelling systems to enable personalized recommendations and improve user retention.

Competitor Analysis

o Utilize advanced tools (e.g., web crawlers) to gather market data, including transaction volumes, liquidity, and capital flows.

o Create comparative analyses to monitor market share trends and competitive positioning.

Data Governance and Collaboration

o Partner with data warehousing teams to ensure business-aligned data structure and governance.

o Define data set specifications and manage permission hierarchies.

Cross-functional Support

o Provide data insights for product development, including new feature assessments and pain-point resolutions.

o Collaborate with marketing, operations, and other teams to optimize performance indicators.

Requirement:

• Bachelor’s Degree in Computer Science, Engineering, or a related field required.
• Min 8 years of experience in Data Analytics and proven track record in cross functional team support
• Experience in using Business Intelligence tools are essential.
• Experience with relational databases and source control tools is preferred.
• Ability to work effectively on the trading floor under tight deadlines.
• Excellent communication, analytical skills, and a dependable work ethic.

Interested candidate submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile https://sg.go.persolkelly.com/job/details/10401

We regret to inform that only shortlisted candidates will be notified.

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

• Registration ID <R1105286> (Ngiam Xinyi)

Required General or Admin Clerk

- asknowledge in Microsoft Excel.

- asknowledge in Microsoft Word.

- Answering phone call.

- prepare and printing email

- Preparing for DO, invoices and related documents for delivery

- preparing Purchase orders

- prepare for shipping

- Able to speak Mandarin

- 5 days works

Interested applicants (Singaporean,PR, Work permit), please write in and email to [email protected]

We’re searching for an Application Engineer to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, want to exemplify the best, and wish to bring people and technology together like never before, then we would love to have a conversation with you!

What we seek to accomplish together:

• Responsible in data migration process for all phases from data mapping, data extraction, data transformation, and data loading in practical with quality
• Requires to manage, and monitor of all data cleansing activities including, support and guidance to business users, support all reporting needs, and data profiling.
• Manage stakeholders and vendors to meet data migration timeline
• Perform data fields / elements mapping with vendor of source data base/tables
• Manage and perform data migration activities, driving data migration project
• Plan data migration to meet critical go-live milestones

A little about you:

• Diploma / Degree in Computer Science / Computer Engineering / Information Technology related field, or IT equivalent
• Experience in data migration and data conversion
• Expertise in designing and deploying data applications on cloud solutions such as Azure or AWS will be value add
• Good understanding of SQL, T-SQL and/or PL/SQL
• Possess initiative and disposition with a strong commitment and orientation towards results and high-quality standards
• Strong problem-solving skills and ability to think out of the box
• Team player with strong communication and interpersonal skills
• Self-motivator with a positive attitude and with high energy
• Customer focused
• Proficient in written and spoken English
• Able to travel as required

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

Responsibilities:

This role will be responsible for a variety of data center functions, including:

• Assist with incident, change, and problem management
• Manage Data Centre inventories – equipment, testers, consumables, etc.
• Fault troubleshooting and rectification
• Support Planned Activities such as network / facilities upgrade, new installation
• Maintain documentation / records, procedures and communication
• Manage & Supervise subcontractors and third-party vendors
• Project Management for special network & facilities implementation
• Compliance with standards of Data Center – PCI-DSS & ISO27001
• Implement physical security access control
• Handle customers’ requirement such as delivery acceptance, remote hand supports, etc.
• Handle customers’ order such as provisioning of cages, racks and cross connects
• Monitor and supervise data centre facilities maintenance
• Review and improve operational processes
• Able to perform day and night shift duty
• Work directly with the Global Service Operations Center, Global Service Desk, Security, and Facilities Management teams to maintain data center hosting integrity, during provisioning and troubles resolution
• Work closely with various departments such as DC Engineering, Sales and Finance
• Work closely with colocation clients to ensure their remote hand requests are carried out & met
• Work closely with security and facility team to deliver good customer experience and to ensure our SLAs are met

Requirement:

• Degree or Diploma in Engineering, Data Centers, Telecommunication, IT discipline
• 2 - 4 years’ experience in Data Centers or similar environment experience.
• Knowledgeable of building facilities Electrical & Mechanical (HVAC, CCTV, security access, BMS Fire protection system).
• Knowledge of PCI-DSS & ISO 27001
• Relevant network certifications (e.g. CCNA, CCNP)
• Establish and maintain effective working relationships with peer groups and key internal stakeholders and maintain agreed external stakeholders relationships relevant to the achievement of business objectives
• Knowledge of test equipment such as circuit tester, Optical Power Meter etc.
• Knowledge in using Data Center Infrastructure Management Systems & Building Management System
• Project & Inventories Management
• Strong process, procedural, analytical and problem-solving skills
• Good customer facing skills
• Able to works shifts and under minimum supervision
• Able to work independently and under stress
• Excellent interpersonal, influencing and negotiation skills.
• Excellent written and verbal skills required
• Able to do shift work (12 hours)

Responsibilities:

• Support the validation and updating of global employee data onto SAP.
• Liaise with global HR Administrator providing coaching and direction as required
• Liaise projects to identify, correct and re-engineer HR processes to ensure quality data
• Liaise mass data change projects and processes
• Maintain currency of documented processes
• Administration, analysis and tracking of system access requests for HRIS (SAP HR), HRMR (HR Measurement & Reporting), Talent Link modules and Workforce Analytics (WFA)
• Daily oversight of the HR Data mailbox (intake/triage), including issues and escalations as required
• Ensure data access authorisations in accordance with privacy controls
• Develop requirements documentation and conduct analysis of HR data access system change requests (SCRs) with impacted areas/owners
• Raise awareness of system access gaps, risks or concerns to management & SAP security team to arrive at a sound business solution
• Empower self-sufficiency with data apps provided to any number of end users
• Create a knowledge base for your team, department, or entire organization. Build and share reusable workflows as best practices or starter kits for beginners

Requirements:

• Minimum bachelor’s degree and Freshers/experience with good Knowledge or experience in Knime.
• Proficient in Knime modules.
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

SUMMARY:

ESR is looking to fill a Fund Manager role within the Data Centre business (“the Business”). Reporting to the Senior Director Investments, Data Centres and working closely with other senior members of the Business, the successful candidate will lead the Fund Management function for ESR Data Centres.

ESR Group is Asia-Pacific’s leading New Economy real asset manager and one of the largest listed real estate investment managers globally. Our fully integrated fund management and development platform extends across Australia/New Zealand, Japan, South Korea, Greater China, Southeast Asia, and India, including a presence in Europe and the United States. We provide investors with a diverse range of real asset investment and development solutions across private and public investment vehicles. Our focus on New Economy real assets offers customers modern solutions for logistics, data centres, life sciences, infrastructure, and renewables. Our purpose, Space and Investment Solutions for a Sustainable Future, drives us to manage sustainably and impactfully for the communities where we operate and the spaces we develop to thrive for generations to come. ESR Group is listed on The Stock Exchange of Hong Kong (HKSE: 1821.HK). Visit www.esr.com for more information.

KEY RESPONSIBILITIES:

Under the direction and guidance of the Senior Director Investments, Data Centres, take ownership and responsibility to:

§ Lead fund management for various fund mandates under ESR’s data centre platform

§ Ensure end-to-end investment process is carried out in accordance with fund requirements

§ Drive product development and marketing of potential new data centre fund vehicles and syndication of existing data centre assets

§ Manage asset level and portfolio level performance measurement; recommend and implement strategies for improving fund returns

§ Carry outfund-level reporting, including production of quarterly reports, annual business plan and ad hoc reporting requests

§ Oversee fund-level financial modelling and preparation of various fund committee memos

§ Manage communications and requests for information from various stakeholders including new and prospective investors, lenders, and internal functions

§ Evaluate new investment opportunities from a portfolio standpoint, advising impact on portfolio weighting and returns

§ Advise on structuring / financing of potential investments, particularly from an offshore level

§ Manage FX / interest rate hedging program for relevant investments

§ Manage subscription line facility for relevant investments

§ Cultivate and maintain relationships with industry stakeholders, including debt and equity capital partners, intermediaries, tax and legal advisors, banking relationships etc.

§ Collaborate with internal teams, including acquisitions, development, legal, finance, and operations.

§ Provide coaching and guidance to junior members in the team.

QUALIFICATIONS:

§ Bachelor’s Degree majoring in business, finance, economics, engineering or equivalent; preference for candidates who also have a master’s degree in business administration, finance and/or real estate

§ Minimum 10 years of experience, with current experience working in a fund / portfolio management role for a regional / global investment manager

§ Experienced negotiating various commercial agreements, including limited partnership agreements, investment / asset management agreements, sale & purchase agreements, joint venture agreements, lease agreements and loan facilities.

§ Self-motivated and proactive; ability to work both independently and within a team environment;

§ Excellent interpersonal, negotiation and communication skills;

§ Able to work independently, resourceful, meticulous, and possess sound commercial sense with strong analytical aptitude;

§ Strong working knowledge of Excel, Word, and PowerPoint.

§ Fluency in English. Japanese language skills are highly advantageous given the current portfolio weighting to this market.

The Data Center Infrastructure Operations Team forms the backbone of AWS, supporting the rapidly growing business and its customers 24/7. We are dedicated to maintaining AWS’s physical infrastructure while upholding the highest operational standards in safety, security, availability, productivity, capacity, efficiency, and cost-effectiveness.

As a team member, you’ll collaborate with a diverse group of professionals, including software, hardware, and network engineers; supply chain specialists; security experts; operations managers; and other critical roles. Together, you’ll work across AWS to deliver the highest standards of safety and security while ensuring seemingly infinite capacity at the lowest possible cost for our customers.

In this role, you will be part of a team responsible for the operation and maintenance of state-of-the-art critical infrastructure facilities based in Singapore. You will collaborate with a world-class technical team, working alongside some of the brightest and most talented engineers in the data center industry. This position offers the opportunity to work with highly experienced professionals while developing your skills and advancing your career within one of the most innovative and progressive technology companies in the world.

Your responsibilities will include performing preventive maintenance on various facility equipment (such as electrical and mechanical, control, and fire-fighting systems), managing change processes, creating procedures, and overseeing vendor operations.

Key job responsibilities
• You will plan and perform preventive and corrective maintenance of mechanical and electrical equipment’s, including but not limited to, chiller, air handling unit (AHU/CRAHU),fan coil unit (FCU), ventilation fan, split air conditioner (AC), pumps, leak detection systems, roller shutters, power distribution boards, UPS (Uninterruptible Power Supply)batteries, and generators.
• Develop site specific documents including Maintenance checklist, EOP, SOP and RA.
• Service report preparation and submission for preventive and breakdown maintenance works.
• Ensure safe keeping of hand tools and maintain good housekeeping.
• Ensure all works are carried out safely and/or in accordance with established standards, procedures & local legislation.
• Any other tasks, when required by the immediate manager.

Basic Requirement

• Technical College Degree, Qualified Technical Diploma, or NITEC Certification.

• Proficient in both verbal and written technical communication and enthusiastic about the maintenance of data centers or critical facility environments.

• Strong communication and organizational skills and capable of managing priorities effectively in a complex and fast-paced environment.