Responsibilities:

• Design & Architecture: You help to design and implement an optimal data pipeline architecture for the analytics system. Identify, design, and implement improvements to automate manual processes, optimize speed and efficiency of data delivery, architecting and designing for high availability, scaling, and reliability. Architect and design infrastructure to facilitate data extraction, transformation, export, and query of data from a variety of data sources, both internal and external, both small and large.
• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decision-making at all levels of the organization.
• Massive data: You will source / examine, analyze, engineer data pipelines for gigabytes/terabytes of structured and unstructured data with our platform to create value for customers. You will also be working with Enterprise data.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Production deployment: You will be responsible for integration and deployment of the Data Ingestion & machine learning pipelines into production where your ideas can come to life.
• Work with stakeholders including the Data Science teams, Business Systems Analysts, and Architecture teams to assist with data platform technical and organizational issues and support the company’s data and analytics needs.
• Educate, train, and mentor members of the Data Engineering and Analytics teams in the design, implementation, and usage of modern data systems.

Requirements:

• At least a Bachelor’s in Information Technology / Computer Science, or related degree
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 7 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Our client is a local bank.

Location: Raffles Place

Benefits:

• Competitve salary and benefits
• Hybrid working arrangement (depending on nature of role)
• Learning & development opportunities

Responsibilities:

• Foster robust relationships with stakeholders to identify opportunities for harnessing data effectively, facilitating the successful delivery of reports, dashboards, and analytics.

• Develop and refine our approach to HR analytics for addressing business challenges through advanced analysis and a comprehensive understanding of data infrastructure and products.

• Interpret and communicate data insights to stakeholders, empowering them to make informed business decisions based on data.

• Take the lead on HR data and metrics projects aimed at creating meaningful measures and benchmarks to enhance and optimize organizational performance.

• Create and implement data models to support forward-thinking HR initiatives, utilizing predictive analytics to anticipate, evaluate, and analyze various business challenges and objectives.

• Establish a rigorous and systematic analytical model and methodology, integrating market research, data, and theory to drive impactful HR analysis.

Requirements:

• At least 7 years of experience in HR analytics, business analytics, organizational research, or organizational psychology.

• Extensive expertise in data analysis, including analytics data models, data warehousing, and data product management.

• Proficient in utilizing popular data analysis and visualization tools such as SQL, Tableau, Python, Qlikview, and PowerBI.

• Demonstrated experience in collaborating with various HR and business stakeholders, possessing exceptional communication skills and the ability to influence others effectively. Proficient in storytelling.

• Strong analytical and problem-solving abilities, capable of utilizing data to extract valuable insights and make informed, data-driven decisions.

Attention to: Hailey

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

JOB DESCRIPTION

As the Senior Manager, Project Management, you will support the delivery of large Data Centre Projects from their inception to completion, or, depending on your experience, lead our small to medium scale projects. Initially, your team will work closely with “Technical Solutions” to manage the development of the Design, and, with “Procurement” for the LLE & Tendering of Contracts. You will then support the SPM or lead your team in overseeing the construction and commissioning of the project. Working closely with the Authorities, Consultants, Contractors and Suppliers and seamlessly working with both internal and external stakeholders to ensure that the project is completed Safely, to the right Quality, On Time and within Budget. Once the project is commissioned, you will support the SPM or lead the handover of the project to our Operations Teams and end users/tenants.

Note that you will be based in Singapore but may be required to travel overseas for work if you are tasked to assist on overseas projects.

Job Responsibilities:

• Lead (or assist) in the delivery of the projects and be responsible for project performance
• Lead (or assist) in the execution of the technical qualification and planning of pre-deals as the Head of Department shall direct. Lead and manage Deputy Project Managers and Engineers to generate project cost and planning structure for prospective deal engagements
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the approved procurement process
• Lead (or assist) in the execution of approved project plans and manage Project Managers, Engineers, Site Supervisors and appointed consultants, contractors, suppliers and vendors to ensure general supervision of the project work and the management of site implementation and all project related matters
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all project related matters including but not limited to below:
  Site project management and track progress of project implementation against the approved schedule
  Cost reports including forecast cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
  Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
  Statutory Authorities matters
• Lead (or Assist) in managing the inspection of the Project Works at site together with the site team and report to the Senior Project Manager or Head of Project Management promptly on any non-compliance and status updates
• Work closely with the Safety Managers to ensure all construction safety requirements are met and strictly adhere to
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from site and execute the Project Handover timely to Client, Asset Owner and Operation team respectively
• Manage and execute other duties and responsibilities from time to time that are assigned by the Head of Project Management or Senior Project Manager

JOB REQUIREMENTS

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Strong leadership and communication skills
• Clear understanding of commercial & financial processes (Invoicing, approvals etc)
• Highly proficient in Microsoft Office (Word, Excel, Power Point)
• Very good Administration skills
• Be thorough and pay attention to detail
• Able to work well with others and have good customer service skills
• Able to use your initiative, flexible and open to change
• Strong time management & work well under pressure

Wages:

SGD 9-10/Hours

Contact:

Call 6978 3503 for immediate interview / Student are welcome

Responsibilities:

- Perform Picking & Packing.

- Unloading of goods onto racks and shelves.

- Inventory calculation of incoming and existing stocks / goods.

- Order fulfilment & management.

- Shipping of products through provided software.

- Assist in customer service.

- Other relevant warehouse duties.

Requirements:

- Must be able to commit (4 hours per day)

- Interest in IT and electronic product.

- Meticulous and attention to detail.

Job Summary

The Senior Manager, OT Cyber Security is part of the OT Team who will be responsible for the management of vulnerability assessments to Keppel's computer systems and servers including detection, management, preventive and advisory of security vulnerabilities.

Job Description

• Work with internal stakeholders for all new investment deals
• Build in OT cybersecurity requirements which aligns to local government legislation requirements into the Basic of Design (BOD)
• Ensure that the BOD is aligned to Keppel’s cybersecurity compliance and participate in RFP, reviewing the customer requirements from Cyber Security’s perspective for any new controls and SOP requirements and comply with comments against additional efforts in terms of costs
• Develop country specific OT Cybersecurity SOP
• Implement and constantly reviewing the Ops cybersecurity SOP and keep it updated with relevance to customer and international standards and requirements.
• Work with the contract team for New DC Projects and/or DC operating contracts – SLA commitment with reference to SLA obligations.
• Pro-actively advise the Ops OT team for any potential vulnerabilities that are received from different sources based on the current Ops environment that are filtered with relevance to Ops Environment and track for closure
• During Cybersecurity Incident act as Incident Manager including SLA escalation monitoring and resolutions
• Work with Internal and Certifications team as well with external and Internal Auditors In briefing our Policies, Sops and standards and working on Gap closure with Artefacts after the remediation completed by the OT Engineers
• Work on updating the Technical Risk register and Risk Metrics based on the Dynamism in the threats landscape and our OT Environment

Job Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education
• Min 8 years of relevant experience
• Experience with vulnerability scanning solutions
• Proficiency with antivirus and security software
• CISSP MS Sentinel certifications will be required or Equivalent practical knowledge
• Able to work with a sense of urgency and with attention to detail
• Effective organization skills
• Good verbal and written communication skills

• Bachelors of Degrees in IT
• 8-10 years of experience in Data migration works
• Familiar with SAP Business Objects ( Purchasing, Material Management, Vendor Master, ,etc )
• Proven expertise in SAP S/4HANA data migration using Syniti Data migration tool.
• Solid knowledge of data modeling, cleansing, and quality management techniques.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Demonstrated ability to manage projects effectively under pressure and within tight deadlines.
• Experience working in a fast-paced and agile environment.

Interested candidates, please send over your resume to [email protected]

Job Responsibilities:

1) End-to-end Design, Develop, and implement sophisticated Power BI solutions which include ETL, Data models, interactive dashboards/visualizations/Reports that effectively communicate key performance indicators (KPIs) and insights.

2) Advanced in Data aggregation techniques to consolidate and summarize data from multiple sources.

3) Guide the team on all best practices related to Power BI service, including Data Modeling, dashboard/Report Design, writing complex DAX formulas, Power Query, the PBI Tenant (service/server based), external BPI tools & have a general understanding of the Azure stack.

4) Familiar with Visual Studio, Power BI Service, Fabric with Git integration for CI/CD pipelines, on-premises gateway, etc

5) Hands-on experience in SQL/PostgreSQL skills for data manipulation, ad-hoc Queries, and Star Schema design.

6) Conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement or business growth.

7) Optimize data models and queries for performance and efficiency, ensuring fast and accurate data retrieval.

8) Ensure data accuracy, consistency, and reliability through data profiling, cleansing, and transformation.

9) Stay tuned with the latest Power BI features, techniques, and best practices to continuously enhance the BI environment.

10) Collaborate with cross-functional teams to provide training, support, and guidance on Power BI usage and best practices.

11) Excellent problem-solving skills, highly motivated, is a quick learner and has attention to details

12) Preferred programming languages include Python/R for data manipulation and advanced analytics.

Requirements:

1. Bachelor's degree in IT computer science/engineering, Mathematics & Data Analytics
2. At least 4-8 years of proven hands-on experience using Power BI Developer is preferred.
3. Good to have Microsoft Power BI certification(s)

Job Description:

As a Business Development Executive at Novosys, you will play a crucial role in the growth and success of our organization. You will be responsible for identifying and securing new business opportunities, fostering client relationships, and promoting our ISO consultancy services. Your primary objective is to drive revenue growth and expand our market presence.

Key Responsibilities:

· Conduct market research to identify potential clients, industries, and regions for ISO consulting services.

· Analyze market trends, competition, and regulatory requirements.

· Generate and qualify leads through various channels, including cold calls, email campaigns, networking, and referrals.

· Maintain a robust sales pipeline.

· Identify client needs and develop customized ISO consulting proposals.

· Conduct presentations and meetings to close deals and acquire new clients.

· Build and maintain strong relationships with clients by providing exceptional service and support.

· Meet and exceed sales targets and revenue goals.

· Develop and implement effective sales strategies.

· Prepare regular reports on sales performance and market insights.

Requirements:

· Bachelor’s degree and above in any disciplines

· Proven experience in Sales or Business Development, preferably in ISO consultancy, service industry or related industries.

· Knowledge of ISO standards and certification processes will be an advantage.

· Excellent communication, negotiation, and presentation skills.

· Results-driven with a strong focus on achieving and exceeding sales targets.

· Proficiency in using CRM software and sales-related tools will be an advantage.

· Self-motivated, proactive, and able to work independently.

· Willingness to travel and meet with clients as needed.

Job Summary:

Salary package: Basic $2800 - $3200 + VB

Working hours: Mon to Fri 9am - 6pm
Working location : Kallang

Job Responsibilities:

- Handling incoming sales calls, emails and leads. Sourcing new leads from Tender Portals.

- Creating, compiling, and submitting tender documents.

- Assisting in preparing quotations and proposals for sales team.

- Providing all necessary administrative support, including the preparation of maintenance contract renewal notices and services sales reports to track renewals.

- Providing administrative support to the Marketing Team, with a primary focus on sales-related activities.

- Assisting in the development of marketing materials and projects/events related to marketing.

- Supporting the Head of Operations and MD in all other administrative matters.

- Assist to match supplier invoices with the necessary documents and key into the system Other ad-hoc duties as assigned.

Requirements:

- Minimum Diploma in any discipline or A Level
- New entry welcome or min 1 year of working experience or max 3 years working experience entry welcome Knowledge of MS Office, Teams

- Able to work independently

How to apply:

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Lau Jie Xi

Registration Number: R21103272

EA Licence No: 16C8004 (Elitez Pte Ltd)

Role Purpose

In addition to applying advanced statistical and machine learning techniques, the Data Scientist takes on additional responsibilities related to team leadership and technology focus. This role requires strong technical expertise and the ability to guide and mentor a team of data scientists.

How will you contribute to the success of DHL?

• Collaborate with stakeholders to define data science strategies, objectives, and priorities.
• Drive the development and deployment of complex predictive models and machine learning algorithms.
• Accountable for data science input into the design, development, and implementation of major solutions, and where necessary methodological direction provided to direct reports.
• Accountable (owns) the completeness and accuracy of the Analytics Requirements.
• Owns the configuration and Implementation of data science models using the agreed technologies components (e.g., Python).
• Able to manage multiple deployments concurrently.
• Ownership of Analytics Quality assurance and testing for solutions within the scope of the domain.
• Lead and manage data scientists assigned within product development, providing technical guidance, mentorship, and performance feedback.
• Communicate data science initiatives and results to senior management and other relevant stakeholders.
• Update the team with the latest advancements in data science technologies and tools and assess their potential impact on the team's work.

Requirements

• Advanced degree or equivalent experience in the quantitative field: Statistics, Mathematics, Computer Science, Engineering, Data Science, or Analytics.
• 4+ years of experience in statistical / ML data modeling and business intelligence/data mining.
• Diverse knowledge of where to apply and how to evaluate results of statistical, machine learning, and data mining techniques.
• Fluency in programming languages\frameworks: SQL, Python, TensorFlow.
• Strong visual design skills used in creating information-dense, easy-to-understand reports and dashboards (with examples): Tableau, MS Power BI, Python, or JavaScript-based visualizations.
• Working knowledge of Agile and DataOps.
• Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
• Good knowledge of at least two functional areas: customer relationships and sales, freight forwarding/express/e-com/logistics operations, pricing, customer service, aviation operations, finance, and billing.
• Excellent communication and presentation skills (English), including translating technical concepts for non-technical stakeholders.

Responsibilities:

• Design, construct, install, test and maintain highly scalable data platform in SAP and non-SAP environments.
• Ensure systems meet business requirements and industry practices, particularly in the food and beverage retail sector.
• Analyze business requirements and create conceptual, logical, and physical data models.
• Design database tables, columns, and relationships, and document data flow and dependencies.
• Build high-performance algorithms, prototypes, models and proof of concepts.
• Develop data set processes for data modeling, mining and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Research opportunities for data acquisition and new uses for existing data in the retail industry.
• Create custom software components and analytics applications.
• Collaborate with other IT team members on project goals.
• Work closely with the Data Lead / Architect to implement data strategies and ensure compliance with industry practices.

Requirements:

• Experience with ETL tools like SAP Data Services, SAP BW data extraction, SLT
• Understanding of data modeling principles and best practices, preferably in an SAP environment like SAC data modelling, S/4 Hana Embedded Analytics, Hana data modelling, BW and/or DWC/Datasphere
• Strong SQL skills, esp on MS SQL server environment, for querying and managing data.
• Experience with data visualization tools like SAP Analytics Cloud or BOBJ.
• Experience with cloud services like AWS, Google Cloud, Microsoft Azure, etc. SAP BTP will be an advantage.
• Experience in programming in SAP or non-SAP environments is an advantage.
• Understanding in SAP ERP or S/4 Hana is a plus.
• Understanding in ML or GenAI is a plus.
• Good command of Chinese Mandarin in speaking and writing is essential as you will be required to liaise with Chinese stakeholders.

Personal Attributes:

• Analytical Skills: Ability to make sense of complex data sets and convert them into actionable insights.
• Problem-Solving Skills: Ability to approach high-level challenges with a clear eye on what is important; employing the right approach/methods to make the maximum use of time and resources.
• Attention to Detail: Precision and attention to detail in data analysis and coding is crucial to avoid errors and ensure the accuracy of the results.
• Communication Skills: Ability to clearly and fluently translate technical findings to a non-technical team, such as the Marketing or Sales departments.
• Teamwork: Ability to work effectively in teams, respecting ideas from team members, and taking on a variety of roles as needed.
• Continuous Learner: Technology is always evolving and it’s important to stay up-to-date with the latest trends and technologies in data engineering and analytics.

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Job Description:

• Collaborate with stakeholders to understand needs for actionable insights
• Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
• Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
• Provide rationale, business cases and ROI models to support investment
• Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
• Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
• Support the rollouts, upgrades, implementation and release of analytics system changes
• Ideate intelligent algorithms to operate on large data sets
• Keep abreast of existing and emerging scientific principles/theories/techniques
• Plan project timelines and resources needed
• Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
• Apply project management tools and processes to ensure project is cost-effective and identify any project risks
• Prepare project status reports for stakeholders
• Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
• Provide advice on high-level Advanced Analytics solution designs.
• Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
• Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

Requirements / Qualifications

• PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
• At least seven (7) years’ experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
• Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
• Proficient in tools such as R/SAS/SPSS/Python.
• Excellent communication, relationship skills and a strong team player.
• Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
• Experience with

1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
3. data interrogation techniques (e.g. SQL, NoSQL).
4. structured and unstructured data analytics.

• Deep understanding of analytical models and methodologies – especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
• Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
• Advance knowledge of Excel features and techniques required for the presentation of data
• The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• A good understanding of Singapore Healthcare System
• An understanding of healthcare data governance, data acquisition and data management would be an advantage.
• Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.

Summary

DataOperations Lead for a new large-scale National Healthcare IT System

Roles & Responsibilitiesas Data Operations Lead

1. Report to the Operations Manager, be responsible for data operations of a new national data repository
2. Accountable for the fulfilment of the system’s roles and responsibilities as one of the HealthierSG data single source of truth
3. Publish and enforce data definitions for established data subjects
4. Establish data contributor and data consumer onboarding processes with compliance to data governance policy, conduct onboarding with thorough quality assurance controls
5. Plan and Prioritise onboarding requests, track and report contributor& consumer onboarding status
6. Ensure data availability to data consumers, and provide timely communications in cases of disruptions
7. Respond to enquiries on data qualityand inform the relevant data contributor promptly
8. Receive and apply correctionsprovided by data contributors
9. Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
10. Provide regular reporting of data quality issues to internal andexternal stakeholders, data owner, and trackall data quality issues till closure
11. Ensure compliance to both internal and external SLAs
12. Manage team’s support schedule to ensure full coverage of data operation services, as well as coaching team members to deliver consistent support service quality
13. Provide strong leadership for matters relating to operations support, processes, and guidelines to achieve service excellence
14. Advise improvements and assist in the development of measurable information and SOP / knowledge base / dashboards to assure continued effectiveness of system operations

Specific Requirement/Skillsets

• Degree in Computer Science, Information Technology,Management of Information Systems, or related discipline
• Minimum 8 years hands on experience in large scale IT applicationoperations, preferably in the area of data operation
• Excellent analytical skills with attention to detail
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders Pro-active, independent, and able to react quickly and resolve issuespromptly
• Experience in Healthcare domain is anadded advantage

Responsibilities:

• Define strategy and implement the plan to coordinate and aggregate demand across all Public Healthcare Institution (PHI) through internal and external forums.
• Scan industry and landscape for promising new areas in AI solutions based on MOH’s defined strategic objectives & thematic areas
• Engage users on new tech & pilot explorations, and manage the pilot lifecycle.
• Work with multiple stakeholders to identify, scope and support the implementation of POC, POV, pilot innovation projects, and manage and track life-cycle of innovation projects at each of the Explore, MVP, POC, POV and Scaling stage.
• Share knowledge and information on use cases and work with the funding agencies to identify and evaluate collaborators/providers that offer potential solutions that best suit the needs of users.
• Coordinate and communicate with the funding agencies (if applicable) whose investment and grant objectives are relevant to the potential solution at the POC or MVP stages.
• Participate as internal review and/or evaluation panelists during the screening and selection process as deemed appropriate by department/division.
• Manage AI and tech programmes, track and report to senior management / programme office and retain engagement with the stakeholders throughout the innovation life cycle.

Requirements / Qualifications

• Preferably 10 years’ experience and have hands-on experience in project management, client management of medium to large-scale projects, including innovation projects.
• Strong interpersonal skills with the ability to work with different groups of stakeholders.
• Possess leadership qualities.
• Experience in the healthcare industry or experience in developing different types of incubation programs for startups would also be an added advantage.
• Degree in Computer Science, Computer Engineering, Data Science or equivalent.

We are expanding our strong data science team and are looking for talented AI practitioner with applied experience in the fields of Machine Learning and Deep learning to join us. This role is best suited for candidate that is interested in developing new AI application that has a direct and immense, real-world healthcare impact.

You need to have a deep passion for analyzing and resolving healthcare problems. You display an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

Critical Work Functions and Key Tasks:

Analyze data

• Scope out problem definition and hypothesis for analysis for image related use case
• Responsible for image analysis, synthesis and other aspects of algorithm development, including visual recognition, object detection, segmentation and medical image processing, etc.
• Responsible for the exploration of cutting-edge technology in image related algorithms and ensure the technologies get successfully applied.
• Design experiments to test data assumptions
• Evaluate experiment outcomes to draw actionable conclusions
• Deploy data models across different channels and customer platforms

Collaborative work

• Partner with stakeholders to translate business problems into data science projects
• Develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making
• Maintain an advanced knowledge of trends affecting the industry

Present insights

• Synthesize findings into actionable insights
• Apply data analysis, datamining and data processing to present data clearly
• Provide rationale, business cases and ROI models to support investment

Requirements / Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, machine learning, and image processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably 5 - 7 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means

Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively.

We are seeking a well-rounded data engineer to join our team. As part of the Global Post Market Quality and Data Analytics team, you will play an integral role in processing consumer feedback through data quality assurance, data modelling, data integration and automation. Under a diverse team, you will have a plethora of opportunities to work cross-culturally and cross-functionally to streamline data processes.

What you will do

• Build and maintain data pipelines for efficient data movement. Use ETL processes to extract and store data from various sources and transform it into a clean and usable format.
• Develop and implement data models to support business intelligence, reporting and analytics requirements.
• Integrate data from different sources (internal/external) to provide a unified and comprehensive view of the data.
• Implement data quality checks and validation processes to ensure the accuracy and reliability of the data. Identify and address data quality issues.
• Write scripts and use automation tools to streamline data processes and workflows.
• Collaborate with stakeholders within and outside of the team to understand data needs and streamline data.

What you bring

Experience

• Bachelor's degree in Data science, Computer Engineering, Computing, IT or any other related field.
• 3+ years of relevant working experience in data roles.
• SQL, Power BI and Advanced Excel knowledge required. Proficiency in other programming languages is a plus.
• Familiarity with integrating data sets from various systems, identifying gaps and presenting visualized data using Power BI.
• Able to handle structured data from various sources and formats (e.g.: from customers and operations), such as complaints and returns.
• Basic knowledge in quality processes (medical device industry) is a plus.

Personal competencies

• Great team player and good communicator. Able to break down complex concepts in a simple and clear manner.
• Responsible with a good sense of urgency.

Who we are

At WS Audiology, we provide innovative hearing aids and hearing health services.

Together with our 12,000 colleagues in 130 countries, we invite you to help unlock human potential by bringing back hearing for millions of people around the world.

With us, you will become part of a truly global company where we care for one another, welcome diversity and celebrate our successes.

Sounds wonderful? We can't wait to hear from you.

WS Audiology is an equal-opportunity employer and committed to creating an inclusive employee experience for all. Regardless of race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status we firmly believe that our work is at its best when everyone feels free to be their most authentic self.

Job responsibilities:

• Monitor various monitoring facilities for software and hardware.
• Monitor application job flow which are scheduled by job scheduling software, and react to exceptions in accordance to Standard Operating Procedures
• Perform reports printing and distribution
• Manage IT-related incidents and problems reported via phone call or e-mail from staff
• Maintain Incident Logs for incidents and problems for all software, hardware and applications being monitoring
• Perform job submission, backup, recovery and restart in accordance to SOP or approved ad-hoc requests
• Perform first-level system and batch problem determination and resolution only, and escalation to second and third levels in accordance to Standard Operating Procedure.

Key Requirements

• Minimum Degree in IT or Computer Science from a recognized polytechnic/institution
• Minimum 2 years of working experience in relevant work area
  Experience in operating at least 3 of these platforms: AS400, Mainframe, Unix/Linux and Windows
• Proficient in using MS Office Suite of products
• Proficiency in Excel macros, pivot tables and charting is a plus.
• Good communication and interpersonal skills and proficient in English Language
• Proven ability to work independently and under pressure
• A good team player.
  

Job Description:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.
• Visualise, interpret, and report data findings and may create dynamic data reports as well.
• Minimum total three years’ work experience
• At least a Bachelor’s degree

Job Description

Duration : 3 to 6 months, 4 days per week

Miniso Singapore is looking for a dynamic Data Analytics Intern to join our team. This role offers an exciting opportunity for individuals passionate about data analysis and business. Utilize your skills to identify sales trends and contribute to the growth and success of our leading retail brand.

What you will do

• Process, clean, and verify the integrity of data used for analysis.
• Perform sales data analysis to identify sales trends, patterns, and insights that can contribute to business decision-making.
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design dashboards that are user-friendly
  Generate regular and ad-hoc reports for different departments, providing actionable insights and recommendations.
• Ability Highlighted: Data Collection and Cleaning, Data Analysis, Reporting, Data Visualization

Qualifications

• Currently pursuing a degree in business, economics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools such as Excel or other tools.
• Familiarity with data visualization tools like Tableau or Power BI is a plus.
• Experience in FMCG or retail industry is a plus.
• Eagerness to learn and adapt in a fast-paced environment.

Benefits

• Gain hands-on experience in a dynamic retail environment.
• Mentorship from experienced professionals in the field.
• Networking opportunities within the industry.
• Potential for a full-time position based on performance.

How to Apply

Interested candidates are invited to submit their resume. Please send your application to [email protected].

Miniso Singapore is an equal opportunity employer. We encourage candidates from all backgrounds to apply.

About Miniso Singapore

Miniso is a global retail brand known for its high-quality, stylish, and affordable products spanning various categories such as lifestyle, beauty, and home essentials. With a commitment to providing customers with value and a unique shopping experience, Miniso has rapidly expanded its presence worldwide.

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming