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
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

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 and 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.

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)

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

Key Responsibilities

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

Qualifications and Skills

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

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

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

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

Contract: 12 months

Location: Caldecott

Responsibilities

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements

• Degree
• Experience in Python
• Able to process and structure large amounts of information.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/10214

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

Key Responsibilities

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

Qualifications and Skills

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

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

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

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

Morgan McKinley is looking for a skilled Data Operation Specialist for a 12-months contract with our client in the tech industry.

Key Responsibilities:

• Analyze operational issues to determine if technical solutions or process corrections are needed.
• Track and report on operational performance, identifying trends and areas for improvement.
• Facilitate daily standup meetings and manage customer support ticket prioritization.
• Create Business Review content for leadership meetings.
• Ensure adherence to processes and highlight any deviations affecting support quality.
• Document lessons learned and share insights with cross-functional teams.

Essential Skills/Experience:

• 2-4 years in operations support within a technical environment, with knowledge of Operational Metrics and KPIs.
• Strong problem-solving skills and experience with data visualization and SQL queries.
• Customer-oriented mindset with high attention to detail.
• Ability to multitask and prioritize effectively in a fast-paced setting.
• Excellent interpersonal and communication skills.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


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

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

Key Responsibilities

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

Qualifications and Skills

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

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

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

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

• Position: Tea Barista
• 1) Trainee Salary : $2000
• 2) Tea Barista $2500-$2700
• 3) Senior Tea Barista -$3000
• 5days work week : 44 hour
• Location :Islandwide

Interested applicants can also send your resume to WA: +65 8016 4051 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities & Duties
- Assist to do bubble tea order
-Arrange manpower and supervisors and provide training to staffs.
-Take care of the quality and hygiene of the shops.
-Make sure the service to customers are satisfactory.
-Order materials and keep track of stock inventory.
-Oversee daily operations and implement rules, regulation and SOP set by the management

• Singapore Based (Boon Lay)
• 5 Days - 8am - 5pm
• Salary - $2,500-$3,500
• Diploma in Electrical and Electronic; Able to read and understand schematic and block diagrams(Training will be provided)
• Career Progression Opportunities

Description:

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

Job Requirements:

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

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Student Care Teacher

Working days: Monday - Friday
Working Hours:
School Holidays : 7am-2pm & 12pm to 7pm ( 2 shift)
Non School Holiday: 12pm-7pm
Salary: $1500 - $1700
Location: (Ubi)

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities
• Guide student on their school homework and assignments
• Conduct daily student care and school holiday programs
• Monitor and record the student’s progress and ensure that learning goals are met
• Develop and implement new lesson plans and other creative activities
• Create a fun and interactive learning environment
• Communicate with parents on their child’s learning progress
• Provide administrative support for the centre’s operations and events

Requirements:

• Minimum O levels

We’re looking for a motivated leader with a growth mindset and a passion for driving success. You’ll be responsible for creating a strong vision for our front of house, taking ownership of strategies that support the business's expansion and success. This role requires emotional intelligence, relationship-building skills, grit, attention to detail, and energy.

Responsibilities:

• Master Lead Generation: Implement strategies to exceed customer acquisition targets.
• Build Brand Knowledge: Complete comprehensive training to become an expert in our products and marketing approach.
• Drive Engagement: Represent our brand in face-to-face marketing and customer acquisition.
• Amplify Brand Presence: Plan and manage events to boost brand awareness.

Why Join Us?

• Fast-Track Career Growth: Take advantage of abundant advancement opportunities as you grow into leadership roles.
• Travel Opportunities: Experience regional and international travel as part of our team.
• One-on-One Mentorship: Learn from top leaders who are invested in your success.
• Hands-On Training: Get all the support you need to thrive in the marketing industry.

Why Us?
We partner with top multinationals to drive market growth, and our culture is all about excellence and empowering future leaders.

Ready to unleash your potential? Join us and embark on a journey of endless possibilities! Apply today!

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Position Purpose

RISK ORM APAC mission is to provide RISK and APAC Management with a front-to-back consolidated view on operational risks of APAC activities to contribute to the reduction of operational risk and to better respond to the Regulator’s expectations. The RISK ORM APAC mandate is to challenge and supervise the Operational Risk management of APAC activities. It belongs to the second line of defence at BNP Paribas, as part of the Risk Function (RISK) and is placed under the responsibility of the APAC Chief Risk Officer.

The APAC Data Protection Correspondent (APAC DPC) is positioned within RISK ORM APAC and provides expertise on personal data protection related topics in accordance with the relevant RACI. The APAC DPC must assist the APAC Data Protection Officer (DPO) in supervising the compliance of projects and with legal and regulatory personal data protection requirements throughout the APAC region as well as the Group’s and APAC personal data protection policies. The DPC is to ensure second level controls by providing the required supervision and assistance to the 1st Line of Defence.

Responsibilities:

Direct Responsibilities

To contribute to relevant personal data protection activities realization

•To guarantee required norms and methods definition and application to a company’s good data protection risks apprehension (follow-up of projects, information systems adaptation, declarations conception and maintenance, subcontractors contracts analysis, follow-up on control plans reporting, etc.)

•To guarantee advice and assistance to strategical program ongoing.

To support the implementation of the privacy strategy defined by APAC DPO

•To assist the APAC DPO in the supervision and monitoring of implementation of the Group's Data Protection policies and guidelines, bearing the local regulatory requirements in mind, to ensure consistency

•To define action plans and corrections related, and to ensure application of the same

•To alert APAC DPO when activity is under operational risk (non-appropriateness between needs and resources, etc.), to propose correction solutions and to implement those solutions

•To contribute to continuous efficiency improvement and to any optimization process.

To contribute to operational activities achievement

•To adjudicate or mediate APAC DPO engaging decisions, emergencies and escalated issues

To contribute to permanent control actions

•To contribute to perform LOD2 controls and challenge LOD1

•To contribute to perform the check and challenge of the RCSA

•To contribute to RISK ID exercise

•To contribute to OR&C report

To ensure a professional network development

•To participate in local Data Protection Committees when requested by the DPO

•To contribute to Internal Control Committee

•To collaborate with local CROs and RISK teams

Supporting Responsibilities

•To assist the DPO on exchanges with the authorities in charge of the protection of personal data under the responsibility of the DPO

•To assist the DPO in the supervision and implementation of Privacy by Design principles throughout the lifecycle of all projects, activities, products, services, processes and systems

•To contribute to role development by validating data protection requirements for new activities, new products, services or specific operations, and to carry a technical assistance

•To receive, process and advise internal and external local solicitations about data protection

•To receive, process and advise requests from data subjects, subcontractors and partners etc.

•To itemise existing processes and identify breaches regarding data protection requirements (APAC local regulation & GDPR requirements)

•To contribute to perform risk assessment on personal data breaches

•To assist the DPO in monitoring documentation, e.g. the RoPA (Register of Processing Activities)

•To contribute to the identification and notification process for data protection violations according to defined procedures and local legal requirements

•To realize effectiveness for data protection controls and to ensure expected reporting

•To ensure regular reporting to APAC DPO about the activity

•To assist the DPO, where required, with local language nuances, law and practices.

•To contribute in the creation and implementation of awareness programs and to the promotion of a culture of protection of personal data within the scope of responsibility.

Technical & Behavioral Competencies:

*Level:

Level 1: Deep Level 2: Intermediary Level 3: Basic

Knowledge (Required to exercise the position)

•To know standards and norms about data protection - Level 1

Know-how (Implementation of technics, methods, tools to achieve activities)

Technics

•To know how to assess maturity level of the existing facility about Data Privacy - Level 1

Transverse

•To have a professional face-to-face or phone discussion in a foreign language - Level 1

•To prioritize - Level 1

•To efficiently manage several topics at the same time - Level 1

•To issue advice / recommendation taking into account every parameters - Level 1

•To have an efficient speaking communication - Level 1

•To conceptualize / to formalize an idea, a process or a project - Level 1

•To have an efficient writing communication - Level 1

Tools

•To work with BNP Paribas tools (e.g. Data Protection Hub, Risk 360) - Level 2

Behavioural and soft skills:

•To efficiently multi-task with topics and maintain attention to detail / rigor - Level 1

•To issue advice / recommendation considering all parameters - Level 1

•To have efficient communication skills (oral & written) - Level 1

•To conceptualize / formalize an idea, a process or a project - Level 2

•To work as a team / transversally - Level 1

•To identify and analyse risks for the activities that are handled - Level 1

•To assess, issue an opinion - Level 1

•To deploy a strategy and to define an action plan - Level 2

•To animate resources and coordinate their intervention - Level 1

•To show diplomacy to allow a message to be heard - Level 1

•To show conviction, to generate interlocutor’s acceptance - Level 1

•Being able to anticipate and come up with ideas - Level 2

•Creativity and innovation - Level 2

•To show discretion about delicate and/or confidential topics - Level 1

•Ability to manage conflict - Level 2

•To integrate multicultural dimension - Level 1

Special Qualifications (If required)

•Degree holder in legal,business or computer science or IT

•At Least 5 years of relevant experience in IT risk, Cyber security, Data Protection and related regulatory topics

•CIPP Certification or similar privacy certificate would be a plus

a very good understanding of EU GDPR with IAPP/E certification

•3-5 years relevant working experience in privacy is a minimum

•5-8 years in total working experience

•Previous APAC or cross-territory experience preferred

•Experience in senior level reporting and discussion

Position Summary / Project Description

Data Engineer for cloud migration projects (Primarily utilizing AWS, IDMC, Databricks and Tableau)

The Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

•

Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

•

Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

•

Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

•

Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

•

Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

•

Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

•

Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

•

Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

•

Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

•

Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

•

Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

•

Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

•

Bachelor’s or Master’s degree in computer science, data engineering, or a related field.

•

Minimum 7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

•

Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

•

Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

•

Strong knowledge of SQL and NoSQL databases.

•

Familiarity with data modeling and schema design.

•

Excellent problem-solving and analytical skills.

•

Strong communication and collaboration skills.

•

AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Responsibilities

* Main: Understand and help plan/guide/implement the migration of reporting/analysis use-cases from Essbase cubes to other tools (Tableau etc)

* Secondary: Review/optimize/consolidate datasets needed by end-users to encourage reusability through standardization and optimized performance

Skills

* Extensive experience in Business/Finance Analysis and Business Intelligence concepts

* Strong hands-on experience in SQL and SQL/resource optimization

* Strong hands-on experience in Tableau datasource and dashboard development/optimizations.

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

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

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

What you will be doing:
- Ensure customer satisfaction

Job Responsibilities :

• Develop and implement plans for data center migration.
• Supervise the procurement process for new servers and network infrastructure.
• Coordinate and manage data migration and verification activities.
• Establish a new server room in compliance with Green Book standards.
• Execute migration of Wireless and Wired LAN, WirelessSG, and WAN systems.
• Mitigate operational disruptions during the transition period.
• Ensure adherence to security protocols and industry regulations.
• Perform additional tasks related to IT setup and support as required.

Job Requirements:

• Minimum of 5 years of experience in ICT Project Management or IT Infrastructure Projects, with a focus on data center relocations.
• In-depth knowledge of data center operations, network infrastructure, and servers.
• Preferred certifications: ITIL, CISSP, PMP, or equivalent.
• Proficiency in Green Book standards for server room setup.
• Exceptional project management capabilities.
• Proven experience in risk management and mitigation for IT projects.
• Strong communication skills for effective collaboration with diverse stakeholders.

Location : Alexandra

Salary: S$6,000.00 - S$8,000.00

Interested applicants please send your resume to [email protected]

We regret that only short-listed candidates will be notified.

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 I RCB No. 200007268E EA Reg. No. R1107631

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency

Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment

Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Are you looking for a career in sales and marketing? Or always wanted that supportive environment to be the best version of yourself? Look no further!

Qualities we are looking for:
-Singaporeans Only

We are looking for contract role in the Client Data Chapter, as a Data Modeler, who will work closely with our data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models.

As data is deemed as a strategic asset for Bank of Singapore, this candidate should be a thought leader who will understand and solve identified business problems from curated datasets.

If you have a strong interest and the knowledge in using analytical tools to drive quality assurance, are passionate about driving data quality and process improvements, and have a knack for problem-solving, this is the opportunity for you.

Join our team as a Data Modeler and play a key role in designing and implementing data models that support our organization's data-driven initiatives. You will also be responsible for ensuring the accuracy, completeness, and consistency of our data models, as well as maintaining their documentation and metadata. Your expertise in data modelling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

You will support the Client Data Owners and the Client Data Steward in the following:

MAIN DUTIES:

• Develop and maintain complex data models for business data analysis and reporting purposes.
• Collaborate with stakeholders and cross-functional teams to understand data requirements and design Client Data model for the new Client Lifecycle Management System that align with business needs.
• Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes.
• Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models.
• Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality.
• Document and communicate data model designs and standards to ensure understanding and compliance across the organization.
• Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our client data modelling processes.
• Ensure appropriate and confidential handling/sharing of sensitive client data
• Identify red flags and escalate in line with policy and procedures
• Ensure timely follow-up and/or escalation to stakeholders
• Responsible for completing delegated and ad-hoc tasks within the established timeframes.

Requirements

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• Strong understanding of SQL and data modelling concepts
• Proficiency in data modelling tools such as Erwin or PowerDesigner.
• Experience in designing and implementing database structures.
• Ability to create and maintain conceptual, logical, and physical data models.
• Familiarity with data warehousing and ETL processes
• Knowledge of industry best practices for data modelling and database design
• Ability to collaborate with cross-functional teams to gather and analyse data requirements.
• Experience in performance tuning and optimization of database queries.
• Strong analytical and problem-solving skills
• Clear communicator, with the ability to articulate ideas with data.
• Fine eye for detail with the ability to work with structured and unstructured data, including internal and external data.
• Experience with operating in a corporate environment and stakeholder management.
• Prior exposure to wealth management, asset management or portfolio management is a plus.
• Strong results driven personality with an innovative spirit.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA 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 looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA 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 looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Overview / Brief

Louis Dreyfus Company is a world leader in the processing of agricultural products and the merchandising of a diverse range of commodities. Founded and based in Europe, Louis Dreyfus Company enjoys a strong regional presence in North and South America, Europe, Asia, the Middle East, and Africa.
Louis Dreyfus Company operates with the drive of a young organization, tempered and fueled by over more than 165 years of experience and expansion in the field of agricultural commodities. Today, with offices in more than 55 countries and approximately 18,000 employees, the Group stands strong, pragmatic, and diversified, guided by a multi-cultural management staff devoted to its aims and to its unique business model.

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

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:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

1. Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

2. Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

3. Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

4. Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

5. Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experience
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

DATA MANAGEMENT – MAILING OFFICER (12 months contract + 1 month completion bonus and renewable)

We are helping our client, a top european Private bank to look for a mailing officer, responsible for static maintenance.

GENERAL DESCRIPTION

The Data Management – Mailing officer is a key member in the Client Account Modifications department. He/She is responsible for mailing related static maintenance in Filler, eBanking, etc for client portfolios and agents (EAM/EFA/Finder relationships), as well as handling of ad-hoc client output requests.

KEY FEATURES OF THE POSITION

Client Management (internal & external)

• Establish and build strong relationship through consistent interaction with Front Office/key stakeholders across the Bank regarding the services and support they require and challenges faced

• Manage Front Office’s queries and support troubleshooting

• Deliver consistent service and meet the established SLAs (Service Level Agreements) while complying

with the Bank’s policies and procedures, as well as regulatory requirements

Business Management

• Timely and accurate processing of e-banking applications / modifications / cancellations, mailing addresses and conditions changes for clients and agents

• Handle returned mails for client portfolios

• Manage ad-hoc clients statements and advices printing requests

• Support the team in user acceptance testing and procedures documentation

• Maintain client data in the bank systems and perform clean-up when required

• Perform signature verifications of the client forms.

• Understand and possess good knowledge of system/business requirements in how client and agent records are maintained / derived

• Strong commitment to quality service and a desire to drive innovation and continuous process improvement initiatives

• Support any ad-hoc tasks / requests as assigned from time to time

Professional and Technical

• Degree with at least 3 years of related working experience

• Previous experience in mailing related data maintenance for Client and Agent (EAM, EFA, Finder) records is preferred

• Good knowledge of account documentation requirements in a Private Banking environment will be an advantage

• Good knowledge of MS Office applications (Word, Excel, PowerPoint), Macros and Visual Basic knowledge as well as an aptitude for technology

RANK APPLICABLE TO THE POSITION

• Contract for a year

REPORTING LINE

• Functionally to Head of Data Management – Mailing Team