Digital Procurement Master Data Specialist – Telenor Procurement Company

Telenor Group is the world’s leading telecommunications company across the Nordics and Asia with 211 million subscribers and 81 billion NOK in revenues. We are committed to responsible business conduct and driven by the ambition of empowering societies. Connectivity has been Telenor’s domain for more than 160 years, and our purpose is to connect our customers to what matters most.

Telenor has a leading Nordic position in mobile, broadband and TV services, as well as substantial activities in subsidiaries and joint venture operations, including mobile financial services and online classifieds in the Asia region. Worldwide, Telenor Group and our operations’ teams are 11,000 people strong.

Telenor Procurement Company (TPC), established in 2017 and based out of Singapore, operates as a subsidiary of the Telenor Group. We deliver Global Category Management as a service to the Telenor Business Units and beyond, taking full responsibility for the end-to-end Sourcing process and performance of global spend categories. Functioning as one Global Procurement team across all Telenor markets, we enable Telenor’s strategic ambitions by becoming a centre of expertise in the pursuit of efficient operations. TPC seeks qualified procurement professionals that are comfortable working in a global setup in the fast-paced Telecom field.

For more information, please visit our website (https://www.telenor.com/about/our-companies/other-units/telenor-procurement-company/)

About the Role

As Master Data Specialist, you will work with Senior Manager BI and Master Data to execute data strategy and establish better governance of the group’s procurement master data throughout its lifecycle and ensure that high quality, actionable spend data is provided to the business. You will guide the category teams on how to secure an item’s mastering and data integrity through the end-to-end procurement process. This is partially a new role in the team developing our master data management (MDM) is a key part of improving our global Purchase-to-Pay (P2P) capability. In this role, you will make your mark on Telenor’s journey of digital transformation.

However, the role will work closely with the operational team who is rolling out a common Purchase-to-Pay (P2P) process and solution across all our business units.

Main Responsibilities

Master Data Governance

• Develop and secure implementation of the Master Data Governance across Global Procurement
• Develop and continuously improve lifecycle processes for efficient master data in P2P and Sourcing processes.
• Ensure effective master data governance disciplines for both internal stakeholders across BUs to establish data quality rules and ensure effective data quality program.
• Maintain and update governance documents, ensure alignment across data owners and center of excellence forum.
• Periodic maintenance of MDM portal and ensure information are up to date.

Data Analysis and Tooling Development

• Develop analytic report to be used for Global Procurement.
• Develop TCO benchmark tooling to be used across Global Procurement for the RFQ processes.
• Periodic analysis of spend data quality to ensure accuracy of spend, drive cleansing and process improvement through different forums (central and local category team, P2P, Finance).
• Develop and enhance machine learning scripts to improve spend classification

Project Support

• Assist in the planning and execution of projects aimed at improving operational efficiency.
• Track project milestones and deliverables, ensuring timely completion.

Cross-Department Collaboration

• Build strong working relationships with internal or external customers, other key stakeholders within Global Procurement including P2P team and IT system specialists to develop a shared understanding of MDM requirements, business processes and department inter-dependencies.

Profile

We seek a passionate person in exploring various technology and knowledge has hands-on experience developing solution through various analytic tooling. with harmonizing and improving master data, common information architecture and business processes related to the procurement supply chain functional area.

The following characteristics will be critical to succeed in the role:

• Good understanding procurement process and data especially master data.
• A problem solver capable of dissecting a complicated problem and evaluating it systematically.
• Detail oriented and structured, while at the same time have a good overview and business acumen.
• Passionate about technology and staying up to date on current technology landscape and able to engage in technical discussion.
• A promoter of data science and Artificial Intelligence that can bring AI into procurement landscape.
• An analyst and a programmer yourself that able to develop solution through different tooling involving different technologies.
• Excellent communicator that brings a positive influence even to contentious discussions.
• Self-driven, and ability to adapt to a fast moving and dynamic environment with changes in priorities.
• Interested to evolve along a Data Governance/Data Management career path.

Qualification and Skills Requirements

• University degree within Finance/Accounting, Supply Chain, Business Management, Statistics, Engineering, Economics, Data Science or equivalent
• 2+ years working with applied business intelligence and analytics solutions. Fresh graduates are welcome
• Experience from Procurement/Strategic Sourcing/ Category management/Supply Chain
• Working in a matrix set-up
• Working in an international corporate with both European and Asian footprint
• Hands-on experience with procurement enabling tools such as spend visibility and Coupa P2P.

Proficient in:

• Programming: Python, R
• Analytic: Power BI
• Cloud Platform: Google Cloud, AWS, Azure, Fabric
• O365: Power Automate
• AI: MS Co-Pilot, ChatGPT

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

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

Process the day-to-day operations to:

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

Responsibilities

BAU

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

Administration

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

Requirements

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

• Salary up to $8,000
• 5 days work week (Hybrid)
• Central

Our client is committed to delivering innovative technology solutions. Our team of experts thrives on solving complex challenges and building cutting-edge solutions. You will play a crucial role in defining the architecture of data warehouses, databases, and cloud-based data solutions. We are seeking a talented and experienced Data Architect to join our growing team.

Job Scope:

• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Position Requirements:

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.

Technical Skills:

• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

For consideration, kindly submit your CV by clicking “APPLY Now”

**Only shortlisted candidate would be notified**

EA Reg. No: R22107887 | Gladys Chang Si Min

PURPOSE

• Being a vital member of the GO Data monetization team to support and contribute to the overall Smart Insurance and Data Monetization Strategy
• Champion and drive customer acquisition, retention, cross-sell and upsell campaign across markets.
• Drive customer engagement initiatives to achieve the collective Data Monetization target set for all markets.

KEY ACCOUNTABILITIES

• Champion and drive data-driven marketing initiatives and efforts across markets. Key initiatives include Leads Acquisition, Retention and Up-sell & Cross-sell campaigns and initiatives.
• Plan, creates and implement customer-centric and data driven GO Signature engagement programme and roll out across markets
• Coach, initiate, define and support CVM activities using data and AI; drive effective demand generation programme at scale.
• Handle data and analytics comfortably and relate them to qualitative aspects of work.
• Generate insights into customer segments for data monetization campaign planning.
• Review campaigns tracking results and propose next step.
• Benchmark market standards, share best practices and provides feedback and suggestions to countries to improve local campaigns and support implementation.
• Liaise with key and senior stakeholders to maintain an evolution of information needs.
• Ensure adherence to all data governance standards as determined by regulators

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master degree in a relevant field (digital marketing, CRM, loyalty or data analyses.)
• Min 5+ years’ experience in a similar field.
• Analytical, strong database management and resourceful.
• Good communication and interpersonal skills.
• Proactive and able to work in a fast-pace environment.
• Understanding of Customer Experience Management.
• Positive attitude.
• Able to travel

KNOWLEDGE & TECHNICAL SKILLS

• Familiar with customer centric marketing, customer insights, marketing campaign best practises and other enterprise marketing strategies.
• Know the business to appreciate and understand the value of the data to monetize it
• Familiar with Salesforce Marketing Cloud or other marketing automation platform preferred but not a must.
• Ability to create great presentations with strong narratives.

Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Job Description

• Industry/ Organization Type: Tuition Centre
• Position Title: Administrative Clerk / Customer Service Admin
• Working Location: North-East – Hougang (Walking distance to the company)
• Working Hours: 5 days, rotating shifts (10 AM-6 PM or 1 PM-9 PM based on class schedule); 5.5 days during probation
• Salary Package: Up to SGD 3500 + AWS
• Duration: Permanent

Key Responsibilities

• Assist walk-in customers, and manage inquiries received via phone and email.
• Ensure timely follow-up and resolution of all customer inquiries through effective communication and coordination.
• Handle the processing of class registrations, invoicing, and issuance of payment receipts.
• Maintain communication with existing customers through phone calls, text messages, and emails.
• Liaise with external vendors and suppliers to coordinate services.
• Carry out various administrative tasks to support daily operations.

APPLY NOW!!!

• Min. O level
• Min. 1 year of working experience, preferably have experience in tuition or enrichment centres
• Availability to work on weekends, excluding public holidays

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71496 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Celine Tan | EA Reg No.: R1873694

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· Responsible for the management n implementation of data center building projects

· Plan and prepare work schedules when the project are awarded.

· Coordinate and manage work schedule, time line , progress with vendor and external contractor.

· Manage technical submission document and ensure technical drawing n material spec requirement are adhered to

· Regular site walk, Update client n company of project progress

· Resolve site issue with multiple parties

· Prepare n produce T&C report, SAT report and Test Script based on project/site requirement.

· Prepare and coordinate for Integrated Services Test (IST) with multiple parties before opening of data center

· Prepare operation n maintainence manual (OMM) and handover certificate.

Requirements

· Min Diploma in Electrical/Mechanical Engineering

· 3 years’ experience in data center M&E project management

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

You will be given an opportunity to manage corporate accounts including Financial institutions and MNCs. Meeting the business objective of our clients through your recruitment efforts.

• Involved in end to end recruitment & selection
• Candidate sourcing and pre-screen through phone call, virtual, or face-to-face interview
• Recommend suitable candidates to job orders
• Interviews coordination
• Manage onboarding process
• Administer employment contracts
• Attend weekly and quarterly sales meeting
• Ad hoc duties such as payroll queries and resolve daily issues
• Ensure work is in compliance with company policies and MOM regulations

Requirements:

• Min. Diploma / Degree in any discipline
• Good interpersonal and communication skills
• Possess enthusiasm, takes initiative at work

Interested applicants are welcome to email resume to: [email protected]

CEI Registration: R1104662
EA Licence No.: 99C4599
EA Personnel Name: Celine Tan Si Ling

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