Salary: up to $2500

Duration: 6 months

Location: Changi North (company bus pickups from north & east of SG)

Working Hours: 5 days Mon - Fri Office Hours

Responsibilities include:

As a Client Service Specialist, you’ll be responsible for the review of material flow parameters and recommend appropriate levels to support business and customer requirements. He/She will lead new customer integration by coordinating internally with cross functional teams and externally with business partners. Assisting the Client Service Manager, he/ she shall manage the day-to-day inventory coordination in high volume, fast-paced healthcare distribution environment while ensuring compliance with established procedure

Requirements:

• Minimum A levels/diploma

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

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

Roles and Responsibilities:

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

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

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

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

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

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

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

Financial and Non-Financial Measures:

· Quality and Timeliness of completion of deliverables

· Effective stakeholder management

· Achieve planned benefits realisation

· Effective problem solving through self or through collaboration with teams

Communication Requirements

· Able to communicate to all levels in the organisation.

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

Minimum Job Requirements:

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

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

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

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

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

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

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

· Experience in maintaining Machine Learning production systems and MLOps.

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

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

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

· Project management skills and ability to manage multiple priorities.

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

· Passionate about working with numbers.

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

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

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

What we seek to accomplish together:

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

A little about you:

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

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

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

What we seek to accomplish together:

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

A little about you:

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

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.

What do you get to learn

Paired 1 to 1 mentorship according to working style

Client visit with mentor to gain broader experience and to experience client’s workplace

Mapped Progression with the Company

Enjoy:

Quarterly events and bonding workshops

Great Team Spirit

Big and cohesive division

Comprehensive Training

Dynamic Working environment

Central Location (at Orchard)

Exciting Opportunities to develop a rewarding career

Job Description

• Responsible to source, evaluate and experiment various recruitment methods to attract, engage and hire potential candidates via various social media platforms, networking events, offline recruitment, infrastructure advertisements, collaterals etc.
• Liaise with multinational corporate clients to provide the best staffing solution in the healthcare industry.
• Evaluating business processes, anticipating requirements, uncovering areas for improvement, and developing and implementing solutions
• Ensuring solutions meet business needs and requirements
• Proactively establish a set of long-term relationship with clients in the healthcare industry
• Engage in full cycle recruitment process from sourcing, matching, and onboarding of candidates to the best suited job.
• Manage candidates on career progression and employment matters.
• Grow and maintain your own client portfolio.
• Work collaborative in a team to achieve targets

Requirements:

• Minimum Diploma / Degree in ANY discipline
• Possess good communication skills
• Passion in interacting with people from diverse background
• No prior experience required, training will be provided
• Able to start work immediately or on short notice will be advantageous

Interested candidates please send your updated resume in MS Word Format to:

[email protected]

Subject: HR Assistant

or call 6736 3280 and ask for Kate

EA Personnel: Kate Leau Wei Xuan (R1552331)

Company Registration No.: 99C4599

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Executive - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Data Entry

Basic Store and Inventory Management

• DO sorting.
• Export summary from ERP system and close check with DO.
• Generate monthly invoice for each customer.
• Work closely with drivers on all the delivery order

Requirement:

• No experience is welcome to apply

• Data Entry experience will be an added advantage.

Salary: $12/hr

Duration: 3-6 months

Working Days & Hours: Mon-Fri office hrs, half Sat

Location: Orchard/Woodleigh/Novena

Job Description:

• Handle front desk works including answering phone calls, registration of patients, dispensing of drugs and collection of payment

• Provide Administrative support and scheduling appointments for patients

• Assist Doctors with minor procedure when required

• Maintain clinic's cleanliness and hygiene at all times

• Assist in maintaining and restocking inventory/supplies

• Any other ad-hoc duties as assigned

Job Requirements: Min GCE A Level / Diploma in any course

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Working location: Alexandra

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

Key Responsibilities:

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

JOB REQUIREMENTS

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

EA Reg. Number: R21100629

EA License Number: 22C1278

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!

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.

The Job:

• Workshop Setup and Logistics
• Prepare workshop venues, including room bookings, setup, and managing participant registration
• Organize, clean, and analyze attendance and workshop records using Excel (pivot tables) or PowerBI to track trends and maintain accurate data, including managing cancellations for sessions below minimum thresholds
• Communicate professionally with instructors, providing reminders, addressing logistical needs, and assisting with any last-minute requirements

The Requirements:

• Must have good knowledge in Excel (pivot tables) or PowerBI
• Min Diploma Holder
• Able to work for 6 months

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg. No. 199601303W || EA Licence No. 99C4599

Your career at NTT DATA Business Solutions

Empowering You – to feel our passion for SAP / Analytic Solutions

As NTT DATA Business Solutions, we are more than just a company. We are a team of innovative and passionate people who specialize in creating value-added SAP and Analytic solutions and guiding our customers on their journey to becoming intelligent businesses. We focus on SAP Consulting, SAP Development, Data Analytics, ServiceNow, Managed Cloud Services, Application Management Services (AMS) & Technology and beyond.

Our success is based on TOGETHERNESS, INNOVATION, TRUST, and SUSTAINABILITY – this is the heart of our corporate culture.

As part of the global NTT DATA Group, one of the top 10 IT service providers worldwide, we stand for our open and sustainable acting. More than 15,000 employees from 64 nations in over 30 countries show that diversity is integral to our DNA and that we live tolerance and respect every day.

People are the key to our success. We believe that every individual can make an important contribution and are therefore constantly on the lookout for talented people who can actively strengthen our team.

Are you ready to break new ground?

Job Summary

We are seeking a dynamic and results-driven Digital Marketing Manager to lead and execute our marketing strategies in the IT industry. This role involves managing digital marketing campaigns, cold calling prospective clients, and focusing on event management to drive brand awareness and business growth. The ideal candidate has a strong background in digital marketing, excellent communication skills, and a proactive approach to engaging new opportunities.

Key Responsibilities

Digital Marketing Strategy:

o Develop and implement comprehensive digital marketing plans to enhance brand presence and engagement.

o Manage and optimize online channels, including website, email marketing, SEO/SEM, social media (Youtube, LinkedIn, Facebook, Instagram), and paid advertising.

o Analyze and report on campaign performance metrics to assess ROI and identify improvement areas.

Cold Calling:

o Identify and research potential clients to expand the customer base.

o Conduct cold calls to introduce the company’s products or services and schedule follow-up meetings.

o Maintain accurate records of interactions and client feedback.

Event Management:

o Plan, organize, and execute events such as product launches, event, webinars, and other activities.

o Coordinate with internal teams and external vendors to ensure successful event execution.

o Monitor event performance and gather attendee feedback for continuous improvement.

Content Creation and Management:

o Develop engaging and relevant content for digital channels, including blogs, videos, and social media posts, with a focus on IT trends and solutions.

o Ensure brand consistency across all communication platforms.

o Photo and Video shooting.

Market Research:

o Stay updated on industry trends, competitor activities, and emerging digital marketing tools within the IT sector.

o Use insights to inform and enhance marketing strategies.

Relevant Experience & Skills

• Bachelor's degree in marketing, business, or other related field.
• Proven experience (5-7 years) in brand management, with a track record of successfully developing and executing brand strategies.
• Strong leadership and team management skills, with experience leading cross-functional teams.
• Exceptional communication and interpersonal skills, with the ability to inspire and influence others.
• Analytical mindset with the ability to use data and market research to inform branding decisions.
• Creative thinker with a keen eye for design and branding aesthetics.
• Demonstrated ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
• Proficiency in brand management software and marketing tools.
• A passion for brand-building and a deep understanding of consumer behavior.
• Exceptional project management skills and the ability to meet deadlines and deliver results.
• Able to travel to other entities occasionally for meeting.

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an Information Security Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Handle post-sales activities of related products and solutions.
• Engage in the implementation of large-scale projects.
• Offer on-site services, including deployment, testing and preparation of documentation.
• Provide technical assistance to maintain high levels of customer satisfaction.
• Troubleshoot customer inquiries by leveraging existing knowledgebase resources and resolving known issues.
• Be available for standby support to manage 24/7 maintenance calls.
• All other adhoc duties as assigned.

Requirements:

• Minimum diploma in IT / Cybersecurity or other related field of studies.
• Minimum 2 years’ IT support experience.
• Certified CCNA or CCSA is a bonus.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

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

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.

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

• Responsibilities include, but not limited to:
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning required. Exposure to the semiconductor industry is required
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong software development skills.
  • Strong verbal and written communication skills.
  • Experience with or desire to learn:
  • Machine learning and other advanced analytical methods
  • Fluency in Python and/or R
  • pySpark and/or SparkR and/or SparklyR
  • Hadoop (Hive, Spark, HBase)
  • Teradata and/or another SQL databases
  • Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • SSIS, ETL
  • Javascript, AngularJS 2.0, Tableau
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions
  • Experience working with Manufacturing Execution Systems (MES
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

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)

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.