Role Summary: The Data & AI Project Manager is responsible for leading data analytics and AI initiatives across both internal and external teams, ensuring that all projects align with the agency’s strategic goals and deliver valuable insights. This role manages the lifecycle of data and AI projects, from planning and development through to implementation and optimization, working with both vendors and internal data specialists.

Key Responsibilities:

• Vendor and Internal Team Coordination:
  • Manage relationships with external data and AI vendors while also leading internal data teams (local or overseas) to align on project priorities, timelines, and deliverables.
  • Facilitate collaboration between internal and vendor teams, ensuring clear roles and responsibilities and efficient information flow.
  • Regularly review and manage the distribution of work between internal teams and vendors to optimize resources.
• Data Strategy and AI Project Management:
  • Develop and drive a comprehensive data and AI strategy, identifying projects that provide the highest business value.
  • Define project KPIs, set clear success criteria, and establish metrics to measure the effectiveness of both in-house and outsourced data/AI initiatives.
  • Ensure alignment of all data initiatives with business needs, prioritizing projects based on their impact on business performance.
• Requirements Documentation and Solution Design:
  • Work closely with stakeholders to capture data requirements and document them into actionable project plans for internal teams and vendors.
  • Provide guidance on technical requirements, data integrity, and quality standards for AI models and analytics projects.
• Quality Assurance and Validation:
  • Oversee quality assurance for data and AI outputs, ensuring deliverables are accurate, reliable, and aligned with strategic objectives.
  • Lead UAT and feedback loops with stakeholders, coordinating with both vendors and internal teams for adjustments and refinements as needed.
  • Implement validation processes to confirm the accuracy of insights, allowing business teams to confidently apply findings.
• Reporting and Continuous Improvement:
  • Track and report on project outcomes, including impact assessments, user adoption metrics, and ROI for each AI and data project.
  • Encourage knowledge sharing between internal and vendor teams, implementing a continuous improvement process for data practices and AI model accuracy.

· We are hiring Entry level/ Junior Software Developer, who is passionate about software programming.

· Polytechnic Diploma in Computer Science, information technology, Software Engineering, or related discipline.

· Exposure to programming skills during academic projects or internship assignment.

· Fresh Graduates or experienced professionals in Software programming.

· Should have strong interest in software programming.

· Should have basic knowledge in ServiceNow Platform.

· Strong analytical /problem solving skills.

· Good communication skills – verbal and written, Good Team Player.

· Good learning attitude and willing to take up challenges

· Well-organised and attentive to details

If anyone If any of these have ever crossed your mind, Consider a switch! FRESH graduates or ORD personnel are welcome!

We’re searching for individuals who want to improve their

communication skillset and improve their skillset! We want you!

At Talent Axis we prioritize our people -they are our greatest asset. We focus on personal growth, soft skills development, and fostering a positive, team-oriented work environment. Our employee consistently expresses their satisfaction and joy when coming into office.

Benefit

✈️travelling opportunities

Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

Job Description

- Preparation of documents (e.g. order processing, verifying payment, delivery orders).
- Liaise with various stakeholders to ensure smooth delivery.
- Data entry and maintenance of database.
- Maintain and update sales records and ensure files are backed up.
- Assist in new IMS (Inventory Management System) Implementation.
- Provide administrative support to sales team.
- Assist in monthly sales closing.

Job Requirement

- Good interpersonal skills
- Proficient in MS Office Suite
- Experience in data entry is preferred

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 19359 Sales Admin Assistant (Temporary 6 month, Sale Coordinator, Data Entry) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

Thank you.

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If you are looking for a marketing experience and take on leadership roles this is your opportunity!

Role:

- Increase our clients’ revenue and brand awareness

- Plan and implement activities (campaigns and road shows etc)

What we are able to provide:

- Mentorship and guidance

- Professional and personal developments

- Travelling opportunities and career progression

Requirements:

- Great learning attitude and work ethics

- Great communication and interpersonal skills

- Self-driven and a great team player

If this position sounds like you, apply today! Our slots are filling up fast and only shortlisted applicants will be contacted.

✨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:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

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 Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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.

Key Responsibilities

Business Understanding

• Conduct thorough business requirement analysis to bridge the gap between business needs and technical solutions.
• Understand business processes and systems to support various functions such as Finance, Commercials, and Operations.
• Serve as a liaison between business and technical users, ensuring effective communication and understanding.

Azure Data Engineering

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize Azure Synapse Analytics/Datawarehouse for data processing and analysis.
• Collaborate on projects leveraging Microsoft Azure Data Engineer Associate certifications (preferred).

Data Ingestion & Modeling

• Perform data ingestion tasks using Data Factory, T-SQL stored procedures, and data harmonization techniques.
• Implement and validate data quality checks to ensure accurate outputs.
• Design data models in Azure Analysis Services using star and snowflake schemas.
• Create dimensions and measures using DAX queries.
• Utilize Python for advanced data transformations and processing (preferred).

Technical Support

• Provide technical support (80%) and enhancements (20%) for existing Azure applications.
• Address system issues by identifying root causes and resolving them in a timely manner.
• Trace processes end-to-end to verify data accuracy and ensure seamless operations.
• Maintain documentation and logs for issue resolution and enhancements.

Others

• Utilize Microsoft Office products effectively to document processes and communicate updates.
• Stay updated on the latest tools and techniques in Azure data engineering.

Qualifications

• 3+ years of experience in Business Requirement Analysis and Process/System Understanding.
• 2+ years of hands-on experience as an Azure Data Engineer using Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Strong knowledge of data modeling and data validation techniques.
• Technical proficiency in DAX, Python, and Azure Databricks (preferred).
• Familiarity with providing technical support and resolving issues in Azure-based production systems.
• Relevant Microsoft certifications, such as Azure Data Engineer Associate, are an advantage.

EA License Number: 11C4879

Benefits Summary:

• Up $5600 + Variable Bonus + Benefits
• 5 Days work week
• Working Location: North
• MNC with good working environment

Responsibilities:

• Overseeing the implementation, maintenance, and optimization of marketing technology platforms, such as CRM systems, analytics software, and automation tools
• Analyzing marketing and customer data to generate insights and improve campaign performance
• Using tools like Zapier, AppScript, and RPA to streamline marketing processes
• Staying updated on MarTech trends and testing new solutions to improve marketing performance
• Any ad-hoc duties as required

Interested candidates, please submit your updated resume in MS format by using the Apply Now Button.

Alternatively, you may also email your resume to us at [email protected].

Follow us on Facebook for more info:
https://www.facebook.com/EC-Recruitment-Pte-Ltd-113771667194961/

Our dedicated and approachable E&C consultants will get back to you soon for a confidential discussion.

By submitting your application or resume to us, you will be deemed to have agreed and consented us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

**We regret to inform that only shortlisted candidates would be notified. **

Edward TOH
Registration No: R1658602
EA License No: 20C0278

Bloomberg runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team

As the Loans Data team, we are responsible for the aggregation, enhancement, transformation and management of all loans data on the Bloomberg terminal. When firms look to raise money in the capital markets, we connect them to lenders & investors providing monitoring, pricing and risk management information. We capture, model and store all information related to the loan, including reference, pricing and covenant information, as well as any events that happen over the lifecycle of an instrument such as refinancing, repricing, reinstatement & amendments and bankruptcies. Our Data Analysts possess a unique combination of subject-matter-expertise in Fixed Income, good communication skills and ability to build relationships with various partners, as well as interest in technology or data management related tools.

What’s the role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Loans Data team, you will play a key role in expanding Bloomberg's loans databases to further deliver an industry-leading data product offering. We will trust you to use your relationship management skills to procure and maintain existing content provider relationships and generate market insights to promote Bloomberg’s brand and loan data, and problem-solving skills to manage the workflow of extracting, transforming and loading of timely, accurate and comprehensive data.

You will be involved in improving the data quality of our loans database to ensure that it meets our customer’s needs and ensure data is fit for purpose. You will collaborate closely with global team members, domain experts, market players and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Fixed Income, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We'll Trust You To:

• Understand our customers’ needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Improve our data quality through implementation of quality control strategies including development of quality control rules
• Combine domain expertise and technical skills to generate insights
• Balance the best of technical and product knowledge to implement solutions for customers
• Promote, market and brand Bloomberg loans datasets and products to both internal and external partners
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our ETL processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Excellent written and verbal communication skills in English
• Demonstrated continuous career growth within an organization
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Experience in data management, for example improving data quality, accuracy, efficiency or timeliness
• A proven track record of successful project management skills and prioritizing tasks accordingly
• Experience taking a logical approach and apply critical thinking skills in order to solve problems
• Experience working autonomously, handling priorities from multiple internal and external partners

We’d Love to See:

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts certification
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
• Experience transforming workflows into more timely and efficient processes

If this sounds like you:

Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidate with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorisation.

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.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

Entry level candidates are welcome to apply

Job Responsibilities:

• Prepare and maintain financial records in compliance with regulations.
• Process invoices, payments, and expense reports promptly and accurately.
• Basic data entry.
• Handle scanning & bookkeeping.
• Any other ad-hoc matters assigned.

Job Requirements:

• Diploma / Degree in Accounting or equivalent
• Or at least 2 years relevant experience if without Diploma/Degree
• Proficient in Microsoft Office and must have used accounting software
• Meticulous, performance-oriented, and self-motivated with good interpersonal and communication skills
• Responsible, meticulous & committed to deadlines.
• Team player and ability to work independently.
• Welcome to the candidate with no experience.

Working Location: Raffles Place.

Working Hours: Mon - Fri 9AM - 6PM

Roles & Responsibilities:
- Be a team player but shine on your own!
- Stay self-motivated and focused on results.
- No experience? No problem! Just bring your willingness to learn.

Perks:
- Represent cool clients and boost their brand!
- Plan and launch creative campaign activities.
- Dive into team-building and collaborate with awesome people

Join us and let’s create something amazing together!

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

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Admin Executive

Working Hour : 5 days 9am-6pm

Salary : $3000-$3200

Office : Macpherson

Responsibilities
Processing invoices, delivery orders and other documents part of the sales process.
Processing payment for bills and expenses
Secretarial and admin support to director
Liaise with suppliers for deliveries
Data entry, paper work, scanning, photocopying and filing of documents
Provide administrative support
Perform ad- hoc duties assigned

Chew Xing Shan Reg No: R22107044

The Supreme HR Advisory Pte Ltd EA No: 14C7279

WhatsApp: +65 83592812 [Shannon]

Duration: 1 year contract

Location: Raffles Place

Responsibilities

• Manage pipelines via channels such as sourcing, screening and referrals for multiple, complex searches to find and engage key technical talents of all levels.
• Collaborate closely with the Recruiting team (Recruiters, Coordinators, other Sourcers) & hiring managers throughout the recruitment lifecycle to ensure business's needs and goals are fulfilled.
• Develop a holistic business understanding and manage stakeholder relationships including HR, hiring managers, and external partners.
• Own and drive innovative sourcing strategies, initiate new projects and/or optimise current processes to improve recruiting process and efficiency
• Conduct complex data analysis and share up-to-date, accurate, and value-adding market intelligence to business leaders to support business growth.
• Prequalify potential candidates to determine their qualifications
• Own interview scheduling process and communicate logistics to both candidates and hiring teams
• Manage candidate communication throughout the recruitment process and providing feedback.
• Ensuring a great candidate experience and advocate company as a great place to work for all candidates.

Requirements

• Proven experience with research/sourcing tools (ie. Boolean, LinkedIn and other alternative sourcing techniques) to identify & engage passive candidates within the internet industry talent space.
• Strong analytical and problem solving skills with capability to analyze high amounts of data to support business strategies and decisions.
• Excellent interpersonal skills with the ability to build rapport quickly with stakeholders and communicate effectively across all levels of the organization internally, as well as externally.
• Sourcing experience in a high-volume environment (via search firm or in-house recruiting environment)
• Experience partnering with recruiters, hiring teams and external partners across different offices.
• Ability to contribute in a fast-paced work environment and prioritize multiple functions and tasks.

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

https://go.persolkelly.com/job/details/10306

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)

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

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

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

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.

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

• Singapore Based (Tuas, transport provided in west MRT station / Transport allowance $120 if possess own transport)
• Monday to Friday (8am to 5pm), Saturday 8am to 12pm
• Salary: $2400 to $2700
• Diploma in Chemistry/Chemical Process Technology; Entry level are welcome.
• Career Progression Opportunities

Requirements

• Diploma in Chemistry/Chemical Process Technology
  Entry level are welcome
• Experience in handling of analytical instruments and AAS

Job scope:

• Carry out analytical testing of incoming, in-process, outgoing materials including
• by products in accordance to SOP in a timely manner
• Issuance of Certificate of Analysis and sample retention management
• Perform basic calibration and maintenance of equipment
• Ensure proper documentations of results, equipment and consumables
• Implement 5S and ensure a safe working environment

Kylen Seah Reg No: R24124248

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Thrive Organisation is looking for the most outstanding candidate to represent the clients we work partner with, providing fitting solutions to meet specific requirements and drive results.

We are looking for people who will “walk the talk”. There is no such thing as a mundane routine here! Be prepared for an unparalleled environment!

Why choose us?

1. Career Development

* We are determined to provide you with the necessary resources, mentorship, and growth opportunities to fuel your professional advancement

2. Travel Opportunities

* We encourage collaboration among our offices and teams worldwide. As a result, team members may have opportunities to work on projects that involve travel to other cities or countries, fostering a deeper understanding of diverse cultures and business practices

3. Personal Growth

* We offer a wide range of learning and development opportunities, including workshops, training sessions, and mentorship programs. We believe that growth happens when we push our boundaries

Who are we looking for?

* A growth mindset - the belief that abilities and intelligence can be developed through dedication and hard work

* Team members with the attitude that is more likely to share knowledge, seek guidance from others, and contribute to a supportive and knowledge-sharing culture within the organization

Data is core to Preqin’s industry offerings, and the Data and Research Management (DRM) team delivers accurate, timely and complete data enhancing the value of our award-winning offerings. The trust in our underlying content enables our clients to make key investment decisions. Besides collecting content, the data management team collaborates extensively with our internal and external clients to improvise our offerings leveraging technology and subject matter expertise. The team understands the life cycle of data and establishes business intelligence reports seeking operational excellence.

As a Associate, you will join the Data Shared Services (DSS) team and be responsible for maintaining existing data workflows & automation with opportunities to participate in building & executing new developments for the DRM department. This role will also include handling queries, responding to errors & feedback with stakeholders.

What you’ll be doing:

• Maintain, run & troubleshoot existing data workflows & automation
• Engage with stakeholders to answer queries, respond to errors and/or feedback
• Assist in building new data workflows & automation
• Assist in ongoing projects as well as adhoc data analysis

What you’ll bring to us:

• You are strongly self-motivated, proactive, and willing to learn
• Strong interest in building data tools & automation as well as analysing data
• Analytical and problem-solving mindset with ability to break down high-level requirements into actionable solutions and to think outside the box
• Strong communication skills to engage with internal stakeholders
• Proficient in Excel (preferably with pivot tables), experience with Alteryx is an advantage

Why join us?

About Us

You will be joining the world’s leading data and insights provider for the alternative assets market. We empower the global financial community with critical information and leading analytics solutions to help them make faster and smarter investment decisions, and to make them with confidence. A forward-thinking company, we lead our industry through innovation. We trust in the power of data, and we use it to increase transparency in alternatives. We believe that access to information leads to more investment in the ideas and infrastructure that build strong communities.

Our Culture
We centre our culture in our teams members growth, sparking their curiosity and fuelling their career adventures. We celebrate and recognise contribution, high performance and strong collaborative behaviours. We’re building and growing our learning programs, frameworks and tools to help people thrive and it's an exciting time to join us. We support our internal communities and donate our time, knowledge and support to the communities that surround our offices globally.

Equal opportunities

Preqin is an equal opportunity employer, with diversity at the heart of our business. It is the policy of Preqin to ensure equal employment and consider all qualified applicants without regard to race, colour, religion, sex, sexual orientation, marital status, gender identity or expression, national origin, age, disability, pregnancy, veteran status, genetic information, socioeconomic status, political affiliation, or any other basis prohibited by applicable law.