Responsibilities:

• Source tender/quotation opportunities and manage submission for clients.
• Review tender documents/award letters and handle all the post-tender queries/correspondence.
• Manage the filing for all the tender/quotation documents.
• Maintain tender/quotation and extension of contract in tender tracking system.
• Provide updates to clients/customers.
• Perform accurate and prompt entry of fax orders, order hotline and other sources into the system.
• Handle all enquiries/complaints/feedback from customer/clients.
• Ensure compliance to ISO and ISMS procedures and processes.

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.

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. R22111375 Chua Jie Lin

The Role

Veeva’s OpenData team is expanding rapidly across Asia. The vision of OpenData is to help the life sciences industry better connect with the healthcare ecosystems to improve care. The Product provides comprehensive reference and profile information on key aspects of healthcare, together with the insights needed by the industry.

Directly reporting to the Manager, OpenData Research Center, APAC we are looking for a Data Steward Team Lead who will be responsible for the direct supervision of data stewardship team members for the data offering in Pakistan within the APAC region.

You will also be responsible and retain all the responsibilities of a Data Steward, such as updating the attributes of records to improve core data, calling Group Practices, and updating provider affiliation information.

If you have a passion for data and quality – this is a great opportunity for you! Your role will be based in the Veeva Office in Singapore.

What You'll Do

• Recruit, coach, motivate, appraise and retain team members
• Deliver all necessary training to Data Stewards and audit the data quality
• Monitor, improve, and give feedback on individual and team performance
• Design, document, and optimize processes to ensure best-in-class delivery of data quality
• Ensure the team meets and exceeds productivity and quality standards
• Run the daily operations in the Data Stewardship team

Requirements

• BA/MA or equivalent degree
• Hindi language is required for facilitating phone / web research validation to both build and maintain the product. (The data sources need to be either phone or web validated with the respective hospitals, clinics, or pharmacies to ensure the data is accurate)
• 1+ year of work experience with leadership component; recent graduates who have leadership quality are welcome to apply
• Ability to learn quickly and independently
• Problem-solving and efficient time management skills
• Proficiency in Windows, Google apps, MS Office, and other office software
• People and result-oriented
• Experience in staff scheduling
• Highly organized, attention to detail, and focus on quality
• Fluent in English

About the Role:

Important note: Only Singapore Citizen candidates will be considered as this is a high security CAT-1 project.

We are seeking a skilled Data Analyst to support our Data Management Operations activities. The ideal candidate will have a strong background in data analysis, reconciliation, and quality checks, along with hands-on experience in Oracle PL/SQL. You will be responsible for ensuring data integrity, conducting UAT, managing user queries, and meeting data-related SLAs.

Key Responsibilities:

• Data Management Operations Support: Assist in the efficient operation of data management tasks, ensuring data processing, monitoring, and integrity are maintained across systems.
• Data Reconciliation & Quality Checks: Perform data reconciliation and quality checks to ensure the consistency, accuracy, and completeness of data. Troubleshoot and resolve discrepancies and data quality issues.
• Oracle PL/SQL Expertise: Use Oracle PL/SQL to query, manipulate, and manage data across systems, ensuring data consistency and integrity.
• UAT Support: Participate in User Acceptance Testing (UAT) for new or updated data systems, validating their functionality, data flow, and ensuring they meet all necessary requirements.
• SLA & Query Management: Oversee SLAs related to data operations, addressing end-user queries and requests promptly while ensuring timely resolution of any issues.
• Documentation Support: Assist in the creation and maintenance of technical and functional documentation, including system specifications, workflows, and data management protocols.
• Finance Domain Knowledge: Apply a strong understanding of finance domain processes to ensure data operations comply with business needs and regulatory standards.
• Troubleshooting & Problem Solving: Use logical and analytical skills to resolve data-related issues, identifying root causes and providing effective solutions.
• Collaboration: Collaborate with cross-functional teams (including IT, finance, and operations) to ensure smooth data management operations and enhance process efficiency.

Required Skills and Experience:

• CAT-1 clearance or eligibility is required for this role.
• Proven experience in supporting data management operations and performing data analysis, reconciliation, and quality checks within Investment firm.
• Hands-on experience with Oracle PL/SQL for querying, reporting, and data manipulation.
• Experience performing UAT, including testing and validating data systems.
• Strong ability to manage SLAs, handle user queries, and prioritize tasks.
• Experience providing documentation support, including creating and maintaining technical and functional specifications.
• Solid understanding of finance domain processes, regulations, and data requirements.
• Strong problem-solving and logical thinking abilities with attention to detail.
• Excellent communication skills, both written and verbal, to interact effectively with stakeholders and teams.

Advantageous Skills:

• Snowflake: Experience working with Snowflake for cloud-based data warehousing and analytics.
• Denodo: Familiarity with Denodo for data virtualization and integration across multiple data sources.

✨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

✨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

✨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

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

Salary: $3000 per month

Working days: 5 days per week (Office hours)

Work location: Clarke Quay / Novena

Contract duration: till August 2025 (extendable)

Responsibilities:

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data (target respondent: corporate company/establishment)
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:

• At least 1 - 2 years experience in administrative & customer service
• Prior experience in call center environment will be beneficial
• Able to work in a fast paced environment & achieved assigned targets/KPIs
• Well spoken and good verbal/written communication skills
• Proficient in MS office, especially Excel

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.

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)

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

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:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

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. R23114622 So Man Xin

On your day to day:

• Handle multiple projects and provide network design and deployment support from project initiation to closure.
• Follow network standards and configuration templates to prepare Network Design Documents (NDD) and submit for review and approval. Create Build Packages that includes implementation plans, test plans and network changes.
• Oversee the deployment of Build Packages on the corporate data network. Implement network changes during the allowed weekend green zone window.
• For some large/complex projects, you will be required to represent network domain in a virtual team and effectively communicate and liaise with business/technical stream owners.
• Assist with knowledge transfer of new products to internal teams.
• Assist in the development of & implementation of processes to allow repeatable designs with the view of provisioning automation and efficiencies.
• Prepare and submit all required project documentations for audit purpose & project closure

Qualifications:

• Proven experience (5+ years) working with Cisco and Arista network devices (routers and switches).
• Minimum of at least CCNP or equivalent.
• Strong working knowledge of following routing protocols: BGP, OSPF.
• Experience on WAN technology, e.g. Metro Ethernet, MPLS. VPLS, IPLC etc.
• Preferable with working experience on using Multicast in a Cisco/Arista environment.
• Preferable with working experience in large financial or banking network operation/implementation team.
• Ability to effectively communicate to internal clients through all available mediums (verbal, listening, writing, presenting).
• Willing to work during weekends for implementation of network changes.
• Willing to work for extended working hours when needed.
• PC Literate (Word, Excel, PowerPoint)

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Details:

• Contract: 6 months
• Industry: FMCG
• Location: Toa Payoh
• Working Hours: Monday - Friday 830am to 530pm

Responsibilities:

• Assist to brainstorm trade marketing strategies with sales and brand teams.
• Working with external agency to create and develop promotional and marketing materials that are align with the brand and retailer guidelines.
• Coordinate with brand and sales team on execution.
• Conduct market visits regularly to monitor competitor activities and strategized marketing plans with the team.
• Assist with monthly marketing budgeting reports and filling.
• Assisting with market surveys
• Review promotions executive to ensure profitability.
• Other adhoc duties assigned.

Requirements:

• Diploma/Degree in Marketing, Business or related fields.
• 1 – 2 years of experience in Trade Marketing or similar capacity will be a plus
• Willing to travel within Singapore to conduct store visits
• Proficient in Microsoft PowerPoint, Excel and Word
• Comfortable with market data analysis (AC Nielsen, Internal Sales Data)
• Self-motivated and takes initiative.

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://sg.go.persolkelly.com/job/details/10375

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

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 • UEN No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

• Position: Aftersales Support Executive
• Working location : Boon Lay ( office)
• Working days : 5 days
• Working hours : 8am - 5pm
• Salary : $2,500-$3,500

Interested applicants can also send your resume to WA: +65 8827 8712 (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

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 applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j

• Support from business stakeholders to invest in data
• Opportunity to lead Business transformation through data

About The Company

Our Client is a market leader within their industry. They have a well-established presence of more than 30 years. With rapid expansion plan, they are now looking for a new Data Analyst / BI Analyst PowerBI SQL MDM ) to join their team.


About the job

• Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisions
• Working with business users (Sales, marketing, Finance/Accounting, Supply chain and etc) to develop reports and dashboards to increase revenue, improve and reduce manual procedures
• Gathering, managing and analysing data from multiple sources to provide insights to business through determining historical demand trends and forecast future demand requirements.
• Manage the global lifecycle of master data processes, including data creation, validation, and deactivation for ERP and CRM systems.
• Develop and enforce data governance policies and procedures for maintaining data in the respective databases.
• Ensure data quality and integrity across all systems.
• Recommend or support process improvements and best practices in data management.
• Perform regular audits and quality assessments of databases.
• Address and resolve data-related issues and discrepancies within the systems.
• Maintain comprehensive documentation for data management processes and policies.
• Oversee data migration and standardization efforts within the organization.

Skills And Experience Required

As a successful applicant, you will have at least 2 years of experience in data analytics/ Business intelligence ( Power BI). Exposure to SQL is required for this role. proven track record in engaging with business stakeholders is required for this role.

Whats On Offer

This is an excellent opportunity to join a leading end user environment with opportunity to engage with senior business stakeholders across Asia. You will have the opportunity to lead business transformation using data within the organisation.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j (EA: 94C3609/ R1219669)

What impact will you make?

At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and society. Whatever your aspirations, Deloitte offers you unrivalled opportunities to realise your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals.

So what are you waiting for? Join the winning team now.

Work you’ll do

· You will develop middle logic layer and backend handoff to partnering systems.

· You will involve in database design and development.

· You will perform primary and secondary research, conduct analyses and appropriate modelling tasks that feeds directly into the development of technology-enabled solutions for tackling our clients’ complex business problems.

· You will leverage on your training in technology, utilize analytical abilities and communication skills to support the project teams in delivery of our digital solution architectures and in development of work products that addresses our clients’ business needs and help achieve their strategic goals.

· You will support the project teams in developing presentation materials and in coordination of communications with the client.

· You will assist the project teams in delivery of business-driven, technology-enabled solutions to help our clients meet pressing challenges and seize opportunities in their respective markets.

· You will work with diverse and talented project team members to solve problems, improve performance, and generate value for our clients across all industries.

· You will uphold the firm’s standards and ethos in working with fellow team members and in your interactions with the clients.

· You will support business development efforts by contributing directly to the preparation, development of proposals, presentations and publications.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants / Analysts across our Firm are expected to:

· Understand the expectations set and demonstrates personal accountability for keeping own performance on track.

· Understand how our daily work contributes to the priorities of the team and the business.

· Demonstrate strong commitment to personal learning and development.

· Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.

Requirements:

• Must have at least 3 years of Outsystems platform experience.
• Bachelor’s degree with at least 2 or more years’ experience in Java, C#, ASP.Net, ADO.Net, JQuery and JavaScript is a plus.
• Bachelor’s degree with at least 2 year experience consider for developer position.
• Strong working knowledge of various technology platforms and practices, including, but not limited to, Microsoft .NET technologies, service-oriented architecture, and software development best practices.
• Strong knowledge of new or latest technology, and able to gauge suitability to the organization’s business, especially in the healthcare provider sectors.
• A good innovative team player with strong sense of integrity & accountability.
• Enterprise technologies experience is very much advantageous.

• Solid understanding of data analysis tools and frameworks relevant to financing products
• Strong Communication skills
• Experience working for fintech/payment/lending pillars

about the company

My client is a leading Southeast Asian technology company founded in 2010. They are seeking a Senior Data Manager (Fintech/Payment/Lending) to drive impactful decision-making at scale and to influence multiple business lines.

about the job

• Conduct in-depth data analysis to identify trends, growth opportunities, and areas for improvement in user acquisition, conversion, risk management, and product development.
• Build and refine credit scoring models and actuarial models for insurance to enhance the company product offerings.
• Collaborate with local Financial Government and ensure regulatory compliance.
• Communicate complex data insights to technical and non-technical stakeholders in a clear and actionable manner.
• Stay updated on the latest data science trends and technologies, applying them to improve analytics capabilities for Financing products.
• Lead and mentor a team of 7 data professionals based in Indonesia, fostering a collaborative, data-driven culture.
• Work closely with stakeholders across the organization to deliver impactful, data-informed strategies.

successful candidate

Proven experience in credit scoring and risk modelling within the lending/payment/FinTech industry. Strong hands-on technical skills, with 80% of the role focused on direct contributions.

Experience managing a small team (up to 20% of the role is people management). Expertise in stakeholder management and a proven ability to liaise with regulatory bodies such as OKJ.

Solid understanding of data analysis tools and frameworks relevant to financing products.

whats on offer

The permanent role for Senior Data Manager (Fintech/Payment/Lending) will pay a salary range of $ 12,600 - 14,200 plus perks from the company. This is an opportunity for join a market leader that has grown year on year.

To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)

https://www.linkedin.com/in/Oliviatoh-032330132/.

A global industrial engineering solutions MNC is looking for a Key Account Manager for Data Center Cooling. The incumbent will be responsible for driving sales and business growth within the Data Center Cooling segments by engaging with key stakeholders, identifying market opportunities, and leading proposal preparations to achieve sales targets in Singapore.

Responsibilities:

• Identify and drive sales opportunities within cooling solutions for the data center market
• Engage with engineering consultancies and data center end-users/operators/developers
• Lead proposal preparation and consultation for cooling-related solutions
• Involved in planning, tendering, awarding and execution of cooling projects
• Research on business opportunities in the Data Center Cooling and Building Technology segments.
• Focus on hospitality, commercial, and district cooling projects to enhance market position.

Requirements:

• 5+ years of technical sales experience in cooling solutions
• Bachelor's Degree in Engineering or any other relevant disciplines
• Familiarity with HVAC or piping solutions
• Experience and network with engineering consultancy firms for data center market and its end-users directly

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

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the team

ByteDance and affiliate are developing the next-generation high-performance analytical database, with a mission to enable efficient and real-time data-driven decision-making on PB-level data sets. The initial product was forked from Clickhouse, after which large re-architecture had been taken place. The product now not only improves the efficiency of Clickhouse but also fits into the elastic cloud-native infrastructure with better scalability and resource utilization. With years of polishment in the internal EB-level scenarios, we are now ready to serve our business partners via various cloud vendors.

What you will be doing:

- Responsible for quality assurance of data and cloud products, and R&D efficiency improvement.

- Participate in product requirements and architecture design reviews, assess the rationality of the overall technical architecture and related testability.

- Ability to identify system risks in an all-around way, and ensure the stability of the systems through functional testing, performance testing, online monitoring, and other testing approaches.

- Build a data quality assurance system to ensure delivery quality and improve delivery efficiency throughout the entire process.

- In-depth understanding of the business, communicate and collaborate with various roles across teams, to create value for the business in an all-round way, without setting boundaries for work.

- Design and perform tests and check cases to determine if infrastructure components, systems and applications meet confidentiality, integrity, authentication, availability, authorisation, and nonrepudiation standards.

- Translate requirements into test plan, write and execute test scripts or codes in line with standards and procedures to determine vulnerability to attacks.

- Certify infrastructure components, systems and applications that meet security standards.

Qualifications

Minimum Qualifications:

- Bachelor's Degree or above, Computer Engineering, Mathematics, Statistics, Machine Learning, and other related majors

- At least 3 years of data testing experience

- At least 2 years of experience in managing a team

- 2 years experience in one or several of the following programming languages: C/C++/ Java / Go/ PHP/Linux shell/ Python.

- Solid understanding of distributed systems

- 2 years experience with UI and API automation testing and framework.

- 2 years experience in common big data technologies such as Hadoop, Spark, Hive, etc.

- 2 years experience in testing high-traffic distributed systems, and cloud-related products.

- Sensitive to data, with good logical thinking ability, analytical ability, troubleshooting skills, and business understanding ability.

Preferred Qualifications:

- 5 years of data testing experience

- 5 years of experience in managing a team

- 5 years experience in one or several of the following programming languages: C/C++/ Java / Go/ PHP/Linux shell/ Python.

- 5 years experience and solid understanding of distributed systems

- 5 years experience with UI and API automation testing and framework.

- 5 years experience in common big data technologies such as Hadoop, Spark, Hive, etc.

- 5 years experience in testing high-traffic distributed systems, and cloud-related products.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Manage Data Center facility including;

• Lighting check
• Airflow check
• Ensure racks are lock
• Ensure no condensation
• Door access are in operation
• Emergency exit path is obstruction free
• No safety hazard
• Coordinate with vendor requesting to access the Data Center for any repair, upgrade, or installation of equipment.
• Daily Routine DC healthy check (Such as temperature, humility, power, server, and network switch).
• Respond to Data Center incident such as power trip, fire alarm, water leak, high temperature etc and escalate or report to relevant party/personnel.
• Cabling and troubleshooting the networking cable.
• Monitoring of Server and Network availability status.
• Monitoring of server antivirus definition ensuring up to date and escalation if not so.

Monitoring of status of Data Center with DCIM.

Requirement:

• Must have minimum 2 years working experience as Data Center Operator.
• Please ensure that the contractor will be open to support 24x7 – 12 hours shift duty when required.
• Candidate is agreeable to enter construction environment site and follow the safety protocol (i.e. wearing safety, helmet, vest and shoe) when entering the site.
  *It will be a daily task (or as required) to enter the site.
• Candidate is agreeable to take Measles and Diphtheria vaccine.

About Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Responsibilities:

- Extract, Transform, and Ingest real estate data into data warehouse

- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)

- Design and implement data extraction solution in a distributed system

- Build efficient data pipelines (using Airflow, DBT, AWS etc.)

- Build data models and applications to support products and solve specific business needs (using SQL, Python etc.)

- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions

- Maintain data pipeline to ensure the smooth operation

- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance

Requirements:

- Major in computer science, computer engineering, data analytics or other related technical field preferred

- At least 2 years of experience in data related fields

- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL

- Experience with distributed computing, parallel processing, and working with large datasets

- Strong experience in data lakes (integration of different data sources into the data lake)

- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage

- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams