About Us

Established in 1972, Guardian Health & Beauty is Singapore’s Number 1 Health and Beauty retailer. With more than 126 stores nation-wide, it retails a comprehensive range of health & beauty products. Guardian has evolved from its pharmacy roots to a holistic one-stop solution for customers’ health and beauty needs. It continues to expand its products and service range to meet the redefinition of beauty by today’s customers – where health meets beauty.

With a strong health heritage, it has the largest network of award-winning pharmacists and a wide selection of health products. Professional services such as patient-care counselling, dispensary services, beauty and personal care solutions are offered at stores as a convenient one-stop for health and beauty. Guardian also operates its online store with more than 9,000 products available and offers the “Click & Collect” services. For more information, please visit www.guardian.com.sg. Follow Guardian Health & Beauty on Facebook, Instagram, Telegram, Youtube and TikTok.

Guardian Health & Beauty is a Progressive Wage (PW) mark accredited company.

The Role

The incumbent will report to the Trade Planning Manager in the Commercial department and will support the master data team by ensuring the accuracy of data set up in promotions management.

Responsibilities

• Database Maintenance
  Ensure timely and accurate maintenance of price and promotion data in the SAP database.
• Promotions Management
  Oversee the accurate and timely setup of promotions. Collaborate closely with the category team and Group Business Admin to ensure claims are properly set up.
• Other Responsibilities
  Prepare reports while ensuring the accuracy and integrity of data.
  Perform ad-hoc duties as assigned.

Requirements

• Diploma in Business Administration or a related field
• 1-2 years of relevant work experience
• Proficiency in MS Excel (Vlookup & Pivot table)
• Strong sense of urgency and ability to meet tight deadlines
• Effective communication skills
• Meticulous with the ability to manage large volumes of data

Benefits

• Team Member Discount
• Subsidized Medical and Dental Benefits
• Training Opportunities
• Career Advancement

Location : Tampines North

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

Be part of a bigger universe, as we bring together a group of remarkable people, to see if they could become something more.

Culture:

- We're all about the TEAMWORK! Each and every individuals' ideas and contributions are secret ingredients to our success.

- WORK HARD, PLAY HARDER. Our environment is a mood, its giving a whole lot of fun learning connections, to innovate and create something for the future!

- Who doesn't love an appreciative culture, over here we CELEBRATE EVERYTHING. Big wins, small wins, if it's a win, we celebrate.

Growth Opportunities:

- With our current regional expansions, we provide opportunities to CLIMB THE LADDER based on your own merits

- And of course, with the vision to grow professionally, we make sure you grow personally as well with the right PERSONAL DEVELOPMENT in the right environment!

- Exchange ideas, strategies, and concepts with different teams and members across the organisation and region where we put together a team of performing individuals to TRAVEL OVERSEAS whilst learning and growing!

Your Role:

- "AVENGERS ASSEMBLE" your way as you team up with the best leaders in the industry to boost revenue for our clients

- "WAKANDA FOREVER" with the best teams to work together strategising our campaigns and projects we represent in the market

- "WITH GREAT POWER, COMES GREAT RESPONSIBILITY" well, this goes without saying, through your valuable performance, work with our top management team and learn how we further progress as you build your career with us!

IF YOU ARE SOMEONE:

* Respectful like Captain America

* Resourceful like Iron Man

* Rigourous like Thor

* Resilient like Hulk

* Relient like Black Widow

* Remarkable like Hawkeye,

We welcome you to our team!

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Looking For Something New? Discover Your True Potential With Us Here At Euphoria Organisation ❗️

Here at Euphoria Organisation we prioritise career advancements and team building so if u think you are a good team player and willing to put in the hard work to progress with your team, what else are you waiting for?

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese clients

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Responsibilities:

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

- Investigate discrepancy in payment amount claimed by companies

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

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

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

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

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

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

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

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

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

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

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

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

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Roles & Responsibilities

• Supporting operation in the assigned process unit in DCS panel
• Handling day-to-day duties and plant troubleshooting
• Conducting field logging, routine sampling, and plant testing work
• Ensuring equipment complying to SOP and working instructions
• Management of the team, including all aspects of people and performance management.
• Drive and work with support teams to resolve service disruptions and restore services as rapidly as possible.
• Ensure timely escalation and track incident life cycle till resolution.
• Document and update NOC operation processes and troubleshooting guides.
• Identify areas for process and efficiency improvements within NOC.
• Participate and contribute product or enhancement projects.
• Other general duties

Requirements:

• At least 3 years’ working experience in IT Helpdesk / NOC environment (Telco Environment)
• At least 2 years’ management experience to lead a support team
• Strong Communication Skills, with good email and verbal etiquette for compilation information / creation and dissemination of SOPs
• Familiar with Layer 2 and Layer 3 Technologies, eg DWDM, BGP, to aid in fault identification and escalation.
• Able to work independently and as a good team player.
• Good deductive reasoning and problem-solving ability.
• Excellent verbal and written communication and presentation skills.

Position Overview

We are seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry. The ideal candidate will be a strategic thinker with strong technical expertise, leadership capabilities, and a passion for driving data-driven decision-making in a dynamic environment.

Key Responsibilities

• Team Leadership and DevelopmentLead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines.
  Foster a culture of innovation, collaboration, and continuous learning within the team.
  
• Data Infrastructure and ArchitectureDesign and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution.
  Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements.
  Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives.
  
• Collaboration and Stakeholder ManagementPartner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals.
  Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS).
  
• Innovation and Best PracticesStay updated on the latest trends and technologies in data engineering and apply them to enhance the organization’s capabilities.
  Establish and promote best practices for data engineering, including version control, testing, and documentation.
  
• Project Management and DeliveryOversee multiple data engineering projects, ensuring timely delivery and quality assurance.
  Manage project budgets, timelines, and resources efficiently.
  

Qualifications and Skills

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
• Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector.

Technical Skills

• Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar.
• Strong proficiency in SQL, Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes, data warehousing, and big data technologies.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).

Soft Skills

• Strong leadership and team management capabilities.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on delivering practical and scalable solutions.

Preferred Qualifications

• Experience with financial data, risk modeling, or compliance-related data engineering.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications in cloud technologies (AWS Certified Data Analytics, Azure Data Engineer, etc.).

hands on in databricks pyspark coding, workflow orchestration, unity catalog.

Prior experience of migration from hadoop to databricks would be preferred.Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

• Business Requirement Analysis
• Business Process and System Understanding

Effective Communication with both business and technical users

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Responsibilities

• The candidate needs to deeply understand customers' needs and pain points regarding Big Data products and solutions and design overall Big Data product solutions tailored to customer business scenarios and technical requirements.
• Capable of recommending the core advantages and capabilities of Tencent Cloud's Big Data products and solutions to customers, overcoming obstacles to migrating customer data to the cloud, supporting the implementation of Big Data product solutions in the cloud, and solidifying Big Data product solutions.
• Thoroughly understand customers' technical issues and requirements regarding Big Data products, act as a bridge within the Big Data product team, and collaborate efficiently with industry, research and development, pre-sales, and after-sales teams to effectively solve customer problems.
• Extract core customer requirements for Big Data products and drive continuous optimization and enhancement of product capabilities.

Requirements

• Bachelor's degree or above in computer science, communication, or related fields, with over five years of experience in Big Data projects. Experience in cloud computing and Big Data development is preferred.
• Familiar with the open-source Hadoop ecosystem, knowledgeable about various Big Data component architectures (including Spark, Flink, Elasticsearch, etc.), and familiar with the characteristics and issues of these components in various Big Data scenarios.
• Familiar with the characteristics of mainstream cloud computing Big Data products, especially AWS, Azure, and GCP's Big Data products. Experience as a cloud vendor Big Data architect is preferred.
• Strong communication skills, clear, logical thinking, proactive and responsible work attitude, positive and open-minded approach to work, and good teamwork abilities.
• Proficient in Chinese and English, with strong written and spoken proficiency for daily customer communication and support.

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry.

Responsibilities:

· To Conduct assessments of hvac designs to ensure that they meet the required specifications and standards within allotted timeline.

· To verify and prove that hvac systems in data centre build and function according to the requirement.

· To execute, lead n manages the commissioning process across all projects, from start-up, designing, construction, acceptance, functional performance and systems testing to operational turnover.

· Management of 3rd party commissioning agents, supplier, contractor, client to resolve any issues on site

· To perform project closeout and handover

· To produce Commissioning Report for each project.

Requirements:

· Diploma in Mechanical Engineer or related disciplines.

· 3 years’ experience in hvac data centre of commissioning management or hvac data centre design management

· Proficient in data centre safety and industry standards

· 3 years’ experience in physical M&E equipment in data centre (especially hvac0

· Speaks and write 2 languages.

Please email your resume ( in word document )to [email protected].

We regret only shortlisted candidate will be notified.

We are partnering with a prestigious energy and infrastructure firm to seek a Senior Account Manager - Data Centre in Singapore. This is an exceptional opportunity for a seasoned sales professional with a proven track record in the data centre industry, ideally as a vendor.

Seniority range: Senior Executive - Senior Manager level.

Responsibilities:

• Forge and nurture strong relationships with hyperscalers and colocation clients.
• Develop and implement strategic sales plans to achieve ambitious sales targets.
• Deliver innovative energy and low carbon solutions to data center end-users.
• Manage all phases of the contract lifecycle, from initial drafting and thorough review to strategic negotiation and final execution.
• Analyze market trends, client feedback, and the competitive landscape to guide strategic decisions.

Requirements:

• Bachelor's Degree in Engineering, Business, or a related field.
• Over 8 years of sales experience as a vendor to hyperscalers and colocation data centers.
• In-depth knowledge of data center infrastructure, power, or utilities industry.
• Proven sales success within Singapore; regional experience is a plus.

If you are interested, please apply with your latest CV. Only shortlisted candidates will be contacted.

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.

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

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 3+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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.

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

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

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

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

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.

QUALIFICATIONS / EXPERIENCE

• At least 10 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.
• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’
• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.
• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)
• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.
• Basic understanding of data quality, profiling, and analytics concepts.
• Working experience with test management tools such as Jira with Xray / Zephyr
• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model
• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.
• Good to have basic programming knowledge in Python
• Good to have knowledge of Azure cloud platform.
• Good to have working experience in investment Bank or Asset Management industry.

OTHER TRAITS

• Positive attitude and collaborative mindset.
• Willing to work across projects and perform manual / automation / exploratory testing
• Highly motivated to keep abreast with the latest development in technology and to acquire deep technical knowledge and skills.
• Excellent communication, presentation, and interpersonal skills.