• Good communication and problem-solving skills
• Candidates with minimum of 2 years? experience, working as DC operator.
• Excellent interpersonal skills
• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of DC M&E for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills.
• People ready to work in 12 hour shift patterns.

Job Description: Big Data Support Engineer – Batch Monitoring (Junior Role)

Experience Requirements:

• 1-3 years of IT experience.
• Minimum 1-3 years of hands-on experience with Hadoop and Kubernetes (K8s) ecosystems.
• At least 1-3 years of relevant experience in the banking/financial services industry.

Skills and Qualifications:

• Demonstrable analytical skills with in-depth knowledge of the Big Data ecosystem in a production support environment.
• Hands-on experience with Hadoop toolsets including Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, and Streaming applications.
• Strong knowledge of SQL, Python, Java, and Unix shell scripting.
• Incident, problem, and service outage management experience is a plus.
• Excellent communication and articulation skills.

Roles and Responsibilities:

1. Batch Monitoring and Operational Support:
   • Provide operational support to ensure the Service Level Indicators (SLI) of applications are met.
   • Troubleshoot and resolve batch issues and identify root causes to minimize SLA impacts.
   • Proactively identify opportunities for preventive maintenance to enhance system reliability.
2. Performance Optimization:
   • Perform administration and optimization to achieve optimal system performance.
   • Conduct reviews of technical and functional solutions from enhancement/project teams to ensure alignment with established standards.
   • Recommend design and operational optimizations for continuous improvement.
3. Collaboration and Stakeholder Communication:
   • Work closely with diverse teams, including tech infrastructure, application services, and business units, to ensure seamless operations.
   • Provide timely updates on status, progress, issues, and resolutions to business stakeholders.
   • Respond promptly to queries raised by various business units.
4. Data Engineering and Pipeline Management:
   • Build and optimize big data pipelines, architectures, and data sets.
   • Support data transformation processes, metadatamanagement, dependency tracking, and workload management.
   • Work on unstructured datasets and perform root cause analysis to identify opportunities for process improvement.
5. Incident Management and Disaster Recovery:
   • Participate in disaster recovery and business continuity exercises.
   • Support software, platform, and database upgrades for systems.
6. Kubernetes and Streaming Applications Support:
   • Provide support for data APIs and data science/machine learning applications running on Kubernetes platforms.
   • Troubleshoot core Java, Python, and Scala Spark batch, API, and streaming applications.

Preferred Experience:

• Experience with message queuing, stream processing, and scalable big data stores.
• Exposure to ledger balance reporting and GL datareconciliation between systems, datamarts, and reports.
• Knowledge of Teradata FSLDM and performance tuning on MPP data pipelines (e.g., Teradata).

This position is ideal for candidates with a strong foundation in BigData support and batch monitoring, excellent problem-solving skills, and the ability to collaborate effectively in dynamic environments, particularly within the banking/financial services industry

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Our client is actively searching for a Data Analyst/ Senior Data Analyst to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

As a Data Analyst/Engineer, you will be responsible for creating user-friendly applications that will be able to launch Machine Learning (ML) models and trigger automation solutions. You will need to work closely with cross-functional team of data scientists, engineers, business stakeholders and IT team to support patient care and improve health services delivery.

The responsibilities of this role are:

• Lead in the gathering of requirements by working and coordinating with clinicians and business stakeholders.
• Translate business requirements into system and architecture design of applications.
• Work with cross-functional teams to successfully develop and deploy automation solutions (including ML Model), ensuring timelines and quality standards are met.
• Work with the IT/data management team to design, architect and maintain the required data inflow and outflow.
• Liaise with analytics platform and clinical system custodians for model deployment and workflow integration.
• Communicate effectively with stakeholders about progress, challenges, and outcomes, translating complex technical concepts into understandable terms.
• Drive continuous improvement model performance and facilitating adoption.
• Create and maintain proper project documentations.
• Perform de-identification and encryption for department managed datasets according to data management guideline.
• Take accountability in considering compliance to policies, guidelines and regulations and take appropriate steps to mitigate the risks.
• Provide prompt feedback to supervisor in anticipation of work-related problems.
• Perform general administrative duties as required.
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department.

The ideal candidate will need to have the following qualities and experience:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g., Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

Job Description

The candidate should possess the following: At least (2) years of hands-on experience as Azure Data Engineer using:

Azure Data Factory Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

At least (3) years of hands-on experience in

- Performing data Ingestion using Data factory T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

- At least (3) years of hands-on experience in

- Providing technical support (80%) enhancements (20%) for existing applications in Azure

(Team has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the teams dynamics. The role requires someone capable of directly addressing system issues and resolving them. Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem. The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)

Good to have following skills

Knowledge of Azure Databricks

Data modelling in Azure Analysis Services using star and snowflake schema.

Knowledge of writing DAX query to create measures dimensions.

Python Coding Experience

Non-Technical Skills Requirements (Business Skills) At least (3) years of relevant experience in:

Business Requirement Analysis.

EA Number: 11C4879

WHO WE ARE

Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.

Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.

We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasize integrity, commitment to excellence, innovation and teamwork.

UNIQUE OPPORTUNITY

We are building out our Singapore Data Engineering team, this is a unique opportunity to be part of a global Tier 1 Investment Bank. You will be a part of industry leading community spanning New York, Dallas, Sydney and Bangalore.

TEAM OVERVIEW

Market Data provides critical input for all trading decisions that take place at Goldman Sachs. The Market Data Engineering team is responsible for the consumption and timely, accurate distribution of all real-time and historical data provided by global stock exchanges, brokers and data vendors including Bloomberg and LSEG (Refinitiv).

Our core service provides the firm with high volume of real-time streaming data that is globally accessible. It has high availability, is highly scalable with single digit millisecond latency SLAs for the most sensitive clients. This is engineered with a ticker plant that consists of hundreds of nodes, thousands of application instances, thousands of consumers, and updates peaks of millions of messages per second.

We are a dynamic, entrepreneurial team with a passion for technology. We look for engineers, with a growth mindset who are driven to automate and improve. Essential Skills include solid Network and OS (Linux) fundamentals, SDLC experience (e.g. scripting, coding, git, svn) and the role would be a good fit for someone who feels they would thrive in a fast-paced, changing environment.

HOW WILL YOU FULFILL YOUR POTENTIAL

• Work with open-source, vendor and internally built software where appropriate.
• Design, engineer, deploy, troubleshoot, patch and fix software and infrastructure while innovating on core platform design and architecture.
• Engage with global team to establish and evolve best practice for operational excellence including availability, scalability, reliability, resiliency and performance.
• Solve problems in order of business value and understand that technical and business perfection are often competing goals.
• Engage with vendors, exchanges and internal businesses on impact and delivery of upcoming changes.
• Gather and analyze metrics from both infrastructure and applications to assist in performance tuning and fault finding.
• Positively contribute to continuous technical development of the team, including technical engineering documentation.
• Deliver complex, business critical infrastructure projects.

BASIC QUALIFICATIONS

• 3+ years of experience as DevOps Engineer, SRE, System Admin or equivalent role, with a desire to learn more.
• Ability to code or script (e.g. bash/python/go) using an SLDC environment (e.g. gitlab CI/CD).
• Familiarity with Infrastructure as Code processes and tooling.
• Strong understanding of Network and OS Linux fundamentals.
• An understanding of the operational concerns in a demanding environment; ideally, but not necessarily, capital markets.
• Resilient under pressure, have a mind-set of continuous improvement and desire to provide excellent service.
• Proactive approach to spotting problems, areas for improvement, performance bottlenecks, etc.
• Live service monitoring, logging, intelligent alerting, self-healing (network, server and application).
• Maintain live services by measuring and monitoring availability, latency and overall system health.
• Ability to adapt and be open-minded, without skimping on our core values and standards.
• Driven to eliminate toil by designing/adopting better tools and automation techniques.

PREFERRED QUALIFICATIONS

• Financial markets/ trading business knowledge.
• Knowledge of market data products eg. Refinitiv (TREP), Exegy, Activ Financial, BPIPE, ITRS.
• Experience with large scale/ high frequency/low latency distributed applications.
• Experience or knowledge of containerization and cloud deploy (e.g. in AWS or GCP).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

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

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

Morgan McKinley is seeking a Senior Data Scientist for a 12 month contract assignment with a possibility to extend or to go perm!

Job Responsibilities:

• Conduct tailored analyses to define and track critical business metrics, recommending improvements.
• Frame business scenarios and propose impactful features for decision-making.
• Transform requirements into clear insights via reports and dashboards, consolidating data from multiple sources.
• Develop data pipelines and custom data models to address business problems.
• Launch A/B tests, conduct analyses, and provide actionable recommendations based on findings.

Qualifications:

• 6+ years experience as a Data Scientist in data-related fields, preferably in D2C/B2C sectors like E-Commerce or Retail Analytics.
• Strong problem-solving abilities and ownership of ambiguous business challenges, with a knack for innovative solutions.
• Proficient in SQL, Python, R, and familiar with designing experiments and data visualization (PowerBI/Tableau).
• Exceptional communication skills to influence teams and stakeholders effectively.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley 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.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

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.

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.

Responsibilities:

• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Highlight or escalate risk and issues to relevant parties in a timely manner.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.

Requirements:

• Masters or Bachelor’s Degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• In-depth understanding of database management systems.
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• Strong communication and influencing skills.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25009

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

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Regional Marketing Data Analyst

Samsung Asia Pte Ltd

This role sits in the Digital Marketing team and would be reporting to the Data Lead of SEAO region. This role is crucial, in developing data solutions and insights using 1st party consumer data pipeline for eights markets across Southeast Asia & Pacific region, building BI solutions and AI/ML models, in order to drive continuous improvement in business KPIs for Samsung smartphone and consumer electronics categories.

Marketing Insights & Reporting (60%)

• Build dashboards and insight report on Samsung’s Big Data Platform
• Connect different data sources to generate actionable business insights for the marketing team
• Collaborate closely with subsidiary marketing managers and product team to support data analysis needs and proactively provide optimization suggestions

Data Science Modeling (40%)

• Build and improve machine learning models in the field of digital marketing, such as customer purchase propensity, customer retention & loyalty
• Maintain end-to-end machine learning pipeline to deployment data science model in the cloud environment
• Fast prototype of new data science projects using latest AI technologies
• Working with digital marketing deployment team to guide on marketing campaigns execution using data science solutions and rigorously measure business impact of data science projects, through A/B testing and other statistical methods.

Skills Required

• Strong programming skills: Advanced SQL, Python, Command Line
• Hands-on experience on large consumer data: demonstrated past work experience dealing with customer data at scale (in millions rows)
• Cloud technology experience: demonstrated working knowledge in any of the mainstream cloud solution: Google Cloud, Amazon AWS, Microsoft Azure. Google Cloud experience is preferred. Able to debug and trouble shoot cloud issues independently.
• Business Intelligence Platform experience: demonstrated working experience in any of the mainstream BI platforms: Looker, Power BI, Tableau.
• Stakeholder Collaboration: Demonstrated ability to collaborate with diverse stakeholders, including internal tech, marketing and product teams, external advertising/marketing agencies, to ensure timely delivery of data projects.

Qualifications

• A Bachelor's degree is required; a Master’s degree is a plus.
• 3-5 years of working experience in data analytics or data science, preferably in a consumer facing companies.
• Strong mathematical acumen, heightened data sensitivity, and the capacity to independently analyse and solve problems.
• Good logical thinking and teamwork spirit, strong willingness to learn
• Experience in Marketing, CRM, Consumer products is a plus

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for an experienced and motivated business-oriented Data practitioner who possess a unique balance of business knowledge and Technology depth in Data and Analytics with hands on keyboard delivery implementation experience in the cloud. AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

-Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way. -Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail. -Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out. -Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS. -Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's Degree or equivalent experience in STEM.

- 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).

- Ability to think strategically about business, solutions and technical challenges.

- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

- 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI - Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.

- Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

- Advanced degree desired (e.g., MBA, MS)

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

In this role, you will be responsible developing, implementing, and maintaining data governance frameworks and risk management strategies to ensure the integrity, confidentiality, and availability of our organization's data assets. This role requires understanding of data governance principles, risk management methodologies, and regulatory compliance requirements.

Data Governance Framework Development:

• Develop and implement data governance policies, standards, and procedures to ensure data quality, consistency, and security.
• Establish data governance frameworks and best practices to manage data assets effectively.
• Collaborate with cross-functional teams to define data ownership, stewardship, and accountability.

Risk Management:

• Identify, assess, and prioritize data-related risks and develop mitigation strategies.
• Conduct risk assessments and impact analyses to evaluate potential threats to data integrity and security.
• Monitor and report on data governance and risk management activities to senior management.

Regulatory Compliance:

• Ensure compliance with relevant data protection regulations, such as PDPA, GDPR, and other industry-specific standards.
• Develop and maintain documentation to demonstrate compliance with regulatory requirements.
• Stay up-to-date with changes in data protection laws and regulations and update policies accordingly.
• Provide advises on data related incidents and escalations as necessary

Data Quality Management:

• Implement data quality management processes to ensure the accuracy, completeness, and reliability of data.
• Develop and maintain data quality metrics and dashboards to monitor data quality performance.
• Collaborate with data owners and stewards to resolve data quality issues and implement corrective actions.

Training and Awareness:

• Develop and deliver training programs to educate employees on data governance and risk management principles.
• Promote a culture of data governance and risk awareness across the organization.
• Provide guidance and support to data owners and stewards on data governance best practices.

Stakeholder Engagement:

• Work closely with business units, IT, legal, and compliance teams to ensure alignment on data governance and risk management objectives.
• Facilitate data governance committees and working groups to drive data governance initiatives.
• Act as a liaison between business and technical teams to address data governance and risk management concerns.

Who we are looking for:

Competencies & Personal Traits

• Driven and Self-initiated individual
• Strong stakeholder management
• Strong communication skills, ability to storyline and engage in focused discussions
• When empowered, not afraid to make decisions
• Operates effectively even when things are not completely certain

Working Experience

• 4-8 years’ working experience
• Relevant experience in Consulting relating to data management or across multiple business disciplines as data governance professionals, business process engineers or business reporting functions
• Experience in working in a diverse organisation and across front to back business processes

Professional Qualifications

• Knowledge of tools and techniques of data governance
• Knowledge of tools, techniques and processes for gathering and reporting data

Education

• Degree holder of any business/ financial related discipline

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

✨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

✨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

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.

Global E-Commerce is a content e-commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. Global E-Commerce business team hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach.

The international supply chain and logistics team integrates logistics, warehousing, transportation and other resources to build a global "goods accessible" network, to provide international e-commerce customers with low-cost, high-efficiency, and high-determinacy supply chain and logistics solutions supporting multiple business models, and enhance consumer experience.

Responsibilities:

- Conduct data science and analytics for international e-commerce supply chain and logistics.

- Apply the latest statistics and machine learning methods to merchant and supply chain management to facilitate business growth.

- Work with development, product, and operations teams to optimize supply chain logistics functionalities using statistical or machine learning techniques.

- Analyze and deconstruct the impact of logistics strategies, contributing to data-driven decision-making and capabilities like forecasting and simulation.

Qualifications

Minimum Qualifications:

1. Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or relevant fields, with 3 years of experience in data mining, machine learning or operational research.

2. Proficient in SQL and data analysis/modeling with R/Python. Familiarity with big data technologies like Hadoop, Spark, Hive, and Flink is a plus.

3. Knowledgeable in data analytics, mining techniques, and machine learning or optimization algorithms, with an understanding of deep learning principles.

4. Strong analytical and problem-solving skills, with the ability to learn quickly and work well in a team.

5. Skilled in cross-team collaboration, business acumen, and strong communication, with resilience and interest in new technologies and challenges.

Preferred Qualifications:

- Prior experience in supply chain or logistics and practices in big data or algorithm engineering is desirable.

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.

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Description:

• Preparation of Quotation for both spare parts and service attendance to customer
• Preparation and issue service kits and spare parts to service engineers
• Maintain good rapport with customers
• Attend to technical enquiries from customers
• Pick & pack of spares when necessary
• Prepare shipping documentation and arrange delivery with courier companies

Job Requirements:

• Able to read and understand schematic and block diagrams(Training will be provided)
• Min. Diploma in Electrical and Electronic

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.

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are seeking a highly skilled and experienced Technical Lead to join our dynamic team. The ideal candidate will have a strong background in ETL engineering in Azure and Spark based frameworks. As an Technical Lead, you will be responsible for leading the design, development, and implementation of ETL processes and data integration solutions to support our data analytics and business intelligence initiatives.

Job Responsibilities

• Lead the design, development, and implementation of ETL pipelines to extract, transform, and load data from various sources into data warehouses and data lakes using Azure Data Factory/ Synapse, Pyspark, SQL
• Experience in files, API’s and streaming based ingestion.
• Familiarity with metadata-based ingestion frameworks
• Design routines to capture data quality and apply corrections
• Monitor and optimize ETL processes for performance, scalability, and reliability.
• Troubleshoot and resolve data integration issues in a timely manner.
• Understands the technical integration touchpoints with other solution components such as front end applications and data governance tools
• Collaborate with data architects, data scientists, and business stakeholders to understand
• Mentor and guide junior ETL engineers and provide technical leadership to the team.
• Stay up-to-date with the latest trends and best practices data integration technologies.

Key Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
• 6 to 8 years of experience as a Technical Lead in Azure data engineering with expertise in ETL engineering and data integration techniques.
• Proficiency in PySpark
• Experience in implementation of data platforms in Singapore Government Commercial Cloud (GCC)
• Strong SQL skills and experience with relational databases and data warehousing solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications:

• Experience with Azure cloud-based data platforms
• Certifications in Azure data engineering or related areas.

About Us

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Responsibilities:

1. Cooperate closely with Product Managers and provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Design and conduct A/B testing experiments to estimate the new product feature launch, to help evaluate the ROI efficiency.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a Mater's degree or above.
2. Proficient in SQL, Python or R, and expertise in A/B testing experiment design is required.
3. Familiar with the product design process, and experience as partner to Product Managers is highly preferred.
4. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

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.

At Sirius Star Marketing, we create personal, face-to-face sales experience for customers, adding in the touch of warmth unlike what you may receive from above the line marketing. This in turn helps Brands to reach out to untouched potential market and increase their market share and brand awareness.

Being at the apex of this industry is our drive as we believe in the quality of our people. We provide strategic solutions to clients for them to flourish and prosper in their industry, while at the same time build on our peoples’ portfolio in diverse industrial knowledge.

What you will do:

• Represent clients’ products and provide the most suitable package to customers based on their needs
• Build customer relationships and organize daily work schedule to call on existing or potential sales outlets
• Providing after-sales support to customers and comply with administrative requirements on account management
• Monitor brand evolution and competitors’ pricing, keep up with industry trends
• Achieve sales target and identify strategic partnership collaboration with brands
• Attend product trainings and upskilling topics
• Provide solutions and ideas to assist company’s growth and expansion

Requirements:

• Strong interpersonal and communication abilities
• Motivated and self-discipline
• Adaptable in a fast-paced, dynamic environment
• Able to work well with detailed information
• Willingness to learn all aspects of business operations work

We pride ourself in nurturing our people; the knowledge and skills they acquire today will drive productivity and value in the long run.

Where Ambition Meets Opportunity!

Be part of a dynamic team driving face-to-face marketing success. We’re expanding globally and seeking ambitious individuals to grow with us!

Your Role:

• Engage with customers and generate leads through in-person interactions.
• Master marketing techniques via comprehensive training.
• Oversee impactful campaigns and events.

Why Join Us?

• Rapid career growth opportunities.
• Regional and international travel experiences.
• One-on-one mentorship from industry leaders.

Who We’re Looking For:
Passionate, results-driven individuals ready to learn and succeed—no experience needed!

Start your journey today. Apply now!

Job Descriptions:

We are seeking a motivated and detail-oriented Trade Operations Executive Intern to join our team. The intern will assist in various aspects of trade operations, gaining hands-on experience in a dynamic environment. This position is ideal for individuals looking to build a career in commodities trade and supply chain management.

Key Responsibilities:

· Support the operations team in managing day-to-day tasks related to trade operations.

· Assist in preparing and reviewing sales and purchase contracts for accuracy and compliance.

· Help with the documentation process for import and export letters of credit (LC) under the guidance of senior staff.

· Coordinate with logistics teams to ensure timely and efficient cargo and vessel execution.

· Communicate with internal teams and external partners to assist in resolving any operational issues.

· Maintain accurate records and assist in data entry for all trade transactions in the system.

· Participate in meetings and training sessions to enhance understanding of trade operations.

Key Requirements:

· Currently pursuing a bachelor’s degree in maritime studies, supply chain management, international business, or a related field.

· Strong team spirits, organizational skills and attention to details.

· Excellent communication and interpersonal skills.

· Ability to work independently as well as part of a team.

· Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).

· Eagerness to learn and adapt in a fast-paced environment.

Benefits:

· Opportunity to gain practical experience in commodities trade operations.

· Exposure to industry professionals and networking opportunities.

· Flexible working hours to accommodate academic commitments.

· Potential for future employment opportunities within the organization.

Join us for a rewarding internship experience that will help you kick-start your career in trade operations!

Are you a fresh grad looking for entry level role?

Are you doing a career switch and want to try out Marketing sector?