Established in 2006, Easmed has grown over the years to be a leading medical device distributor specialising in bringing innovative products in the fields of ENT, General Surgery, Urology, Sleep Medicine, Respiratory and Critical Care in South-East Asia.

As part of our expansion plan to continue to push our boundaries to transform healthcare through medical education and delivering our promise to create a better life for all and hence raising the standards of medical care, our team is seeking to recruit an Data analyst / IT Support Executive.

Reporting to the Senior Regional Operations & Technical Service Manager, you will represent the company to support IT needs. You will be the first point of contact for employees who experience technical issues with computer hardware, software, networking or other devices.

Specifically, you will

• provide technical support & advice to employees and customers
• install, configure and maintain computer hardware, software and systems
• troubleshoot and solve technical issues relating to computers/phones/tablets
• maintain software licenses and the in-house server
• manage email accounts – including set up for new users
• manage purchase of new assets, the return of assets and the inventory for each repair
• manage and maintain network security & equipment safety
• assist IT projects and deployments
• train and guide employees on the use of technology
• evaluate, configure & implement new technology for company
• keep up-to-date with new technologies and industry developments

You should possess at least a Diploma preferably IT-related and/or have 1 to 2 years of relevant working experience.

To succeed in this role, you should possess the competency for efficient & quality to ensure IT team’s contribution is valuable. As you will be required to work with various divisions, you must possess strong collaboration skills.

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

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]

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Talent 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

• Stable Basic Salary + Attractive Incentives

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

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

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• 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]

Responsibilities:

• Work in a team to carry out daily estate works, inspection on horticultural works, liaise with and supervise contractors, recommend and implement improvement works, attend to feedback, complaints and services requested by the customers.
• Handle administration duties such as calling of quotations, issuing work orders and applying for funding.

Requirements:

• NITEC / Higher NITEC / Diploma in Building / Estate Management / Real Estate / Facilities Management/ Engineering in Electronic & Electrical / Mechanical / Mechatronic or equivalent
• Entry level welcome (job training will be given)

Tempserv Pte Ltd

License No: 06C3745

Ivy Ng / EA Reg No: R1102590

Responsibilities

● Support the business’s goal of democratization of data and data products.

● Drive audience and behavioral analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes

Skills/Requirement

At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 9:00 AM - 6:00 PM

Job Type: 6 - 12 Months Renewable Contract

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite
• Willingness to travel and work at both Tampines and Raffles Place locations, depending on business needs
• Flexible with work location assignments
• Willing to work overtime (as frequently as 3-4 days per week)

Job Info:

• Salary : Basic up to $3000 + Transport Allowance $100 + AWS + VB
• Working Hours: Monday - Thursday: 8:30am to 6pm; Friday: 8:30am - 5:30pm
• Location: Geylang Bahru

Job Scope:

• Serve as the primary point of contact for customers, carriers, suppliers, and other stakeholders in day-to-day business operations
• Manage customer orders, including related documentation, and coordinate transport bookings with carriers based on specified routing and service levels
• Monitor the execution of transport activities
• Handle customer requests and address incidents or disruptions in the supply chain
• Assist in the on-boarding process for new suppliers
• Act as a backup for supervisors in case of their absence
• Facilitate the on-boarding, training, and guidance of new staff during their initial period
• Assist supervisors in updating and revising work instructions and provide feedback on best practices
• Continuously on-board and train suppliers on SOPs and system usage

Please submit your updated resume by using the APPLY NOW BUTTON

By submitting your personal data and/or resume to us in connection with your job application, you will be deemed to have agreed and consented to us in collecting, using, retaining, and disclosing your personal data and/or resume to prospective employers for the purpose of the evaluating, processing and administration by company relating to this job application.

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

We wish you all the best in your career search.

You are welcome to visit our website at http://www.rkgroup.sg/

RK Recruitment Pte Ltd | EA License No.: 20C0280

Chou Jia Hooi | EA Personnel No.: R23115147

Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.

The Bloomberg Financial Solutions department of 5,000+ employees is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.

We’re Bloomberg Enterprise Services - fast paced, innovative and expanding. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. We provide a vast number of datasets that cover all asset classes, via multiple delivery technologies and flexible scheduling options. This means our clients get exactly the data they need, when they need it, in the format they prefer.

What’s the role?

In this "Coach/Player" role, you are responsible for leading, motivating and developing the team who provide the implementation services for all our Enterprise Data clients in the Asia Pacific.

You’ll be hands-on in partnering with and understanding how Bloomberg solutions meet client requirements, leading the team to plan, deliver and execute projects across the Enterprise product landscape. On a daily basis under your guidance and support, the team will be driving these projects forward to meet agreed timelines, delivering exceptional levels of service and realizing revenue targets to agreed dates. You will act as the point of escalation for your team ensuring that obstacles are removed and risks to deliver are highlighted and mitigated.

As a part of the leadership of our Enterprise Data Service Delivery team in the region, you're ultimately responsible for the service received by our clients and ensuring their experience is a positive one including their transition in to a production environment with the long term goal of influencing their decision to partner with Bloomberg for future projects.

We’ll trust you to concentrate on the below core focus areas.

1: IMPLEMENTATION

• Ensure team members are partnering with the engagement team and that all stakeholders are familiar with the clients’ success criteria, establishing regular communication with the client throughout the implementation process to ensure partnership towards a common goal and delivery timelines
• Have oversight of the collaboration taking place with the Technical Account Managers to ensure current projects, maintenance and forecasts are being tracked with exceptions being flagged and milestones agreed
• Encourage your team to build relationships with their clients, with a focus on keeping them updated, providing relevant training and acting as their primary point of contact for the duration of the project
• Take ownership of the final solution delivery and ensure that it is fit for purpose; working with the client and production support to ensure all applications from the original forecast are being used as anticipated and the project can be closed within expected time-frames

2: PRODUCT KNOWLEDGE

• Leverage existing materials and build relationships to gain exposure to the processes involved in implementing the Enterprise product suite
• Build and maintain relationships with the product management team to ensure you have the right information at the right time to disseminate with your regional team and global counterparts
• Share your experiences with others to ensure a well-balanced, cross-trained team that is capable of handling the entire product range

3: OPERATIONAL EFFECTIVENESS

• A mind-set of continuous improvement is a must, with a desire and drive to own, manage and develop new or existing processes
• Balance the needs of the business with those of our clients, ensuring that our implementations are exact and fit for purpose
• Develop the team to accept and participate in regular changes with the goal of continuous improvement and setting new standards
• Work with internal service partners to develop the overall service delivery process and reduce the time to deliver Enterprise services

4: LEADERSHIP & TALENT MANAGEMENT

• Build and maintain a diverse, and high performing team
• Motivate team members to perform at the peak of their potential and build team spirit
• Provide coaching & development for all members of the team
• Ability to give clear, constructive and actionable feedback
• Collaborate closely with our global offices to drive projects and maintain a cross-regional operations

You’ll need to have:

• Minimum 10 years working experience within the financial services or financial technology industry
• Experience in a client facing role within the past 3 years
• Demonstrable experience implementing, supporting or project managing financial data solutions (including but not limited to real-time market data, pricing data, enterprise data management solutions)
• Strong desire to lead, influence and develop diverse teams
• Strong technical project management background with the ability to influence stakeholders and work to deadlines
• Ability to learn and apply technical implementation processes quickly and efficiently
• Knowledge of the concepts of market data compliance rules and regulations
• Strong presentation and communication skills in English
• Ability to manage your time effectively, multi-task and work well under pressure in a team environment
• Prior experience in coaching and people development
• Demonstrated continuous career growth within an organisation
• Bachelor’s degree or degree-equivalent qualifications
• We’d love to see:
• Hands on experience of industry leading Market Data enterprise distribution systems and data feeds
• Experience with technology infrastructure implementation and design for network and server hardware and software
• Technical competencies with, but not limited to Linux, TCP/IP, Python, SQL, Cloud Solutions (AWS, Azure, GCP)
• Practical knowledge on middleware technologies
• Relevant industry certification, including but not limited to Cloud certification
• Familiarity with Bloomberg enterprise products

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, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Why Bloomberg?

We’re individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work. We’re interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential.

Learn more about our office and benefits:

Singapore | www.bloomberg.com/singapore

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email [email protected] (Americas), [email protected] (Europe, the Middle East and Africa), or [email protected] (Asia-Pacific), based on the region you are submitting an application for.

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 8:30 AM - 6:00 PM

Job Type: 6 - 12 Months Renewable Contract

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite
• Willingness to travel and work at both Tampines and Raffles Place locations, depending on business needs
• Flexible with work location assignments
• Willing to work overtime (as frequently as 3-4 days per week)

Job Summary:

The Data Analyst will be responsible for analyzing and interpreting data related to the performance and efficiency of the airport's BHS. The role involves working closely with operations, maintenance and IT teams to ensure that data-driven insights are used to optimize system performance, enhance baggage processing times, and improve overall passenger experience.

Key Responsibilities:

• Collect, process, and analyze data generated by the Baggage Handling System or the Material handling System.
• Monitor system performance metrics and identify trends, anomalies, and areas for improvement.
• Develop and maintain dashboards and reports to provide real-time insights into system operations.
• Collaborate with cross-functional teams to implement data-driven solutions for optimizing baggage flow and reducing processing times.
• Conduct root cause analysis of system failures or inefficiencies and provide recommendations for corrective actions.
• Support the IT and operations teams in integrating new technologies or upgrades into the BHS.
• Ensure data accuracy, integrity, and consistency across all reporting and analysis activities.
• Participate in regular performance reviews and provide insights to management for decision-making.
• Stay updated with industry trends and best practices related to airport operations and baggage handling systems.

Working location: UE Bizhub West

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories

· Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures

· Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis

· Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations

· Design and create reports, dashboards, and data visualizations using data visualization tools

· Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams

· Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility

· Implement data validation and verification procedures to ensure accuracy

· Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

· Minimum Diploma and above

· Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R22109519

EA License Number: 22C1278

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Reporting to the Head, Business Planning & Integration, the candidate will be responsible for extracting, cleaning, and analysing data to provide valuable business insights. This role involves close collaboration with internal stakeholders to understand data needs, visualize data effectively, and where applicable, build interactive dashboards for ongoing analysis. The Data Analyst will play a crucial role in driving data-driven decision-making processes within English/Malay/Tamil Media Newsrooms.

Key responsibilities:

• Work with internal stakeholders to identify data needs and extract relevant data from various sources.

• Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.

• Analyse data using statistical methods to identify trends, patterns, and insights that are relevant to business objectives.

• Collaborate with team members to understand business challenges and provide data-driven solutions.

• Develop and implement data visualisation strategies to clearly communicate findings to stakeholders.

• Utilise data visualisation tools to create intuitive graphs, charts, and other visual representations of data.

• Design and build dashboards that provide real-time insights and support strategic decision-making.

• Ensure dashboards are user-friendly and meet the needs of various stakeholders.

Requirements:

• Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related field.

• Proven experience as a Data Analyst or in a similar role, with a strong portfolio of projects demonstrating the ability to extract, clean, and analyse data.

• Experience in working with internal stakeholders to understand and fulfil data analysis needs.

• Hands-on experience in visualising data and building dashboards.

• Proficiency in SQL for data extraction and manipulation.

• Knowledge of statistical programming languages such as R or Python.

• Experience with data visualisation tools (e.g., Tableau, Power BI).

• Familiarity with dashboard development tools and techniques.

• Excellent verbal and written communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders.

• Strong collaboration skills, with an ability to work effectively in a team and with stakeholders from different functional areas.

• Creative problem-solving abilities, with an aptitude for identifying and addressing business challenges through data analysis.

Responsibilities and Requirements -

• Main: Understand and help plan/guide/implement the migration of reporting/analysis use-cases from Essbase cubes to other tools (Tableau etc)
• Secondary: Review/optimize/consolidate datasets needed by end-users to encourage reusability through standardization and optimized performance

Skills

• Extensive experience in Business/Finance Analysis and Business Intelligence concepts
• Strong hands-on experience in SQL and SQL/resource optimization
• Strong hands-on experience in Tableau datasource and dashboard development/optimizations.

Responsibilities:

• Define, deploy and manage cloud-based workloads, security and compliance controls.
• Conduct mass training and briefings for application teams to help them on-board applications and services to the cloud.
• Monitor, analyse and identify infrastructure for vulnerabilities, and applying appropriate mitigations and resolution.
• Regularly review existing services and keeping up to date with industry trends and new cloud offerings, to prepare proposals and recommendations for enhancements and new capabilities.

Requirements:

• Diploma / Degree or its equivalent with proven technical knowledge and expertise.
• Any AWS / Azure / GCP / Nutanix certification will be advantageous
• Knowledge of Terraform is preferred but not required.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Description:

• Basic up to $2600
• 5-day work
• North/West Arean

Job Scope:

• Perform IT Management and IT Devices
• Provide computer support services such as software and hardware.
• Work with external vendors
• Provide training to users on how to use computer devices.
• Handle helpdesk duties.

Requirements:

• Candidate with no experience is welcomed to apply, training provided
• Min Nitec in Computer Science/IT or equivalent

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Cheang Wei Yang (R21102313)

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-Commerce Business Growth- Data Compass team aims to cater to merchants and creators on the e-commerce platform and improve their operational efficiency. Our focus is to optimize various aspects such as merchandise strategy, user operation, and marketing, leveraging algorithm-driven solutions.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Improve the working efficiency of e-commerce merchants, influencers, and account managers to boost the growth of sellers' products, customers, and revenue.

- Participate in the optimization of sellers' operations, such as marketing insights, assortment planning, customer relationship management (CRM), anomaly detection, and diagnostic attribution.

- Participate in the optimization of merchandise operations, such as seasonal and trend analysis, supply and demand analysis, new product and product growth analysis, and improving the alignment of products and associated traffic.

- Participate in the optimization of the marketing strategies and Return on Investment (ROI) of sellers and influencers in TikTok e-commerce live streaming, short video, and ShopTab.

- Analyze and conduct feature engineering for massive data such as customer profiling, e-commerce transactions, relationships between products, business opportunities, and deploy the model pipeline.

- Use techniques such as representation learning, graph modelling, causal inference, and time series forecasting to assist merchants and influencers in problem-solving and discovering growth opportunities.

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.

Minimum Qualifications

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Experienced with feature engineering from massive raw data, such as customer/seller/influencer profiling and e-commerce transactions.

- Proficiency in coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools.

Hands-on experience with data structure algorithms, machine learning models such as sales forecasting, classification task, deep learning etc.

- Proven experience of implementing business projects and launching product features.

Preferred Qualifications

- Experienced in deep learning, time series forecasting, causal inference or relevant fields.

- Solid understanding of search and recommendation systems, with an emphasis on AIGC field, is a plus.

- A strong desire to learn and discover new things, result-oriented, customer-oriented, team player, and self-driven.

TikTok 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 TikTok, our mission is to inspire creativity and bring joy. 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

Must Have

• Should have minimum of 15 Years of exp and familiar with analytics skills on data lake environment for Risk and Regulatory reporting with SLA commitment
• Should have strong business knowledge on Risk and Regulatory data for understanding business terms and analyse required data independently in Data lake environment using various tools to query/check data
• Should have hands on experience in Sql Databases, ETL tools. Preparing data using Pyspark, Dataframes, bteq for analysis
• Strong in Data Operating Models for implementation of Transformations, Data Lineage, Metadata Management, Data Quality and profiling of Critical data under Consent Order programs for Banking Risk portfolios
• Should have basic understanding on Erwin, Collibra, Hadoop, R, Python and Py spark for Data governance.
• Should have knowledge to understand SAS programming, big data eco system

Good to have

• Having development knowledge on ETL tools like Datastage, Talend, Teradata Bteq
• Having more consumer banking domain knowledge
• Having be familiarity with reporting tool such as SAS, Tableau, Micro Strategy, Cognos, Power-BI for cresting the marts.

Roles & Responsibilities

• Should have extensive experience of Multi-country roll out of data transformation programs
• To understand the business requirements from various LOBs and convert into scoped functional requirements for Risk and Regulatory reporting projects/programs and delivery in Dake lake environment
• To work for solutioning of the requirement with various business stakeholders and cross functionals teams and prepare design documentation, BRD, FRD and data mappings
• To handle Data Lineage, Modelling, Meta Data Management and profiling for critical Data Elements
• To decode business logic from legacy / SAS applications used by business and convert into ETL logic for Big data, Pyspark or Ingestion tools like Datastage
• To analysis data from various databases like Teradata, Hive, Hbase, SAS & Oracle
• To plan for project delivery in agile methodology
• To manage Developers to make them understand the requirements and deliver in committed sprints
• To handle the stakeholder and business reporting for project status and risks
• To handle PAT validations with data quality checks and KPIs reporting

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

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

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Our client, one of Asia-Pacific’s leading organizations is looking for:

Junior Data Analyst

Responsibilities:

• Enhance Generative AI Accuracy:
  1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
  2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.
• Response Analysis and Evaluation:
  1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
  2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
• Safety Scenario Establishment:
  1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.
• Data Set Maintenance:
  1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
  2) Regularly update and refine data sets to reflect evolving language trends and user preferences.
• Knowledge Base Updates:
  1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
  2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.
• Demand Analysis:
  1) Engage in call listening activities to identify emerging demand topics and customer preferences.
  2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.
• Collaboration with Product Owners:
  1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
  2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.
• Product Knowledge & Call Handling Trained
  1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
  2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

Requirements:

• Meticulous and show great attention to detail.
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Junior Data Analyst”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Arora
EA Personnel Registration Number: R22109615

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire Data Scientist (GenAI/ML). This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Scope

• Develop and implement generative AI solution specifically tailored for manufacturing, focusing on improving efficiency, quality, and productivity.
• Create and manage AI/ML algorithm pipelines using Azure ML and other relevant cloud-native services.
• Refine pre-trained language models to address specific manufacturing problems, such as sales forecasting, predictive maintenance, quality control, or supply chain optimization.
• Build intuitive web applications to enable manufacturing teams to interact with and benefit from AI-powered tools.
• Work closely with cross-functional teams to understand their challenges, gather requirements, and deliver practical AI solutions.
• Continuously learn about the latest advancements in AI, ML, and NLP to apply to the company new AI projects.

Required

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, with a strong emphasis on AI/ML and cloud technologies.
• 1 to 2+ years of relevant experience in machine learning, data science, software development, or a related role, with a proven track record in Generative AI project development.
• Proficient in NLP techniques, including prompt engineering, RAG, and advanced language models; deep understanding of machine learning algorithms
• Demonstrated experience in ETL processes for data ingestion, transformation, and loading to support AI model development.
• Proficiency in Python (Visual Studio Code, Jupyter Notebook) and machine learning frameworks (e.g., TensorFlow, PyTorch)
• Strong understanding of cloud platforms (Azure ML preferred)
• Expertise in React.js or similar front-end frameworks (Preferred)
• Strong team player with proven ability to collaborate effectively on projects.
• Demonstrated rapid learning ability and adaptability to new technologies.

WHAT’S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Nishant Pawar

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Role Overview:

Seeking a highly skilled and motivated Data & AI Consultant. In this role, you will work closely with the investment, research, and technology teams to develop and implement advanced data analytics and AI-driven solutions. Your expertise will be crucial in enhancing investment strategies, optimizing operations, and providing actionable insights to support business growth.

Key Responsibilities:

• Data Strategy Development: Lead the design and implementation of data strategies that align with the firm’s investment goals, ensuring the effective use of data analytics and AI across all functions.
• Advanced Analytics: Develop and deploy predictive models, machine learning algorithms, and AI solutions to analyze large datasets, identify trends, and support decision-making processes.
• Stakeholder Collaboration: Work closely with investment teams, portfolio managers, and senior leadership to understand their needs and provide tailored data-driven solutions.
• Technology Integration: Collaborate with IT and technology teams to integrate AI tools and analytics platforms into the firm’s existing infrastructure, ensuring seamless operations.
• Research and Innovation: Stay ahead of industry trends and emerging technologies in AI and data science, and apply them to enhance our investment strategies and operational efficiency.
• Training and Development: Educate and mentor team members on data analytics, AI techniques, and best practices, fostering a data-driven culture within the firm.
• Performance Monitoring: Establish metrics and KPIs to measure the effectiveness of AI and data initiatives, providing regular reports to senior management.

Qualifications:

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related field.
• Experience: 5 years of experience in data analytics, AI, or machine learning, preferably within the financial services, asset management or consulting industry
• Technical Skills: Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI) and AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Problem-Solving: Ability to translate complex data into actionable insights and present them to non-technical stakeholders.
• Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to diverse audiences.
• Collaboration: Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Key Responsibilities

• Collaborate with stakeholders, senior data scientists, and cross-functional teams to understand business objectives and requirements.
• Conduct comprehensive data analysis and apply advanced statistical techniques to identify patterns, and trends, and extract insights from large and complex datasets.
• Create visually appealing and insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Develop and maintain scalable data pipelines and workflows to process and analyze large volumes of data.
• Develop, validate, and maintain predictive models and algorithms tailored to specific business use cases such as customer segmentation and propensity models.
• Contribute to the design and implementation of experiments to test hypotheses and validate model performance.
• Work closely with machine learning engineers to deploy models into production and monitor their performance, providing insights and recommendations for optimization.
• Document methodologies, procedures, and findings clearly and concisely to ensure knowledge sharing and maintain accurate records.
• Stay abreast of emerging trends and advancements in data science and machine learning.

Requirements

• 4-7 years of experience in data science or a related field.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithm development.
• Strong programming skills in Python, R, SQL, or other programming languages.
• Deep understanding of statistical concepts and techniques, with experience applying them to real-world problems.
• Ability to visualize data, identify trends, and provide sound insights/ suggestions to internal stakeholders.
• Experience in the financial and insurance sectors will be advantageous.
• Experience with cloud technologies is ideal (AWS/GCP/Azure etc.)
• Eagerness to learn and adapt to new technologies and methodologies.
• Understanding of Generative AI methodologies, including Retrieval-Augmented Generation (RAG), re-ranker, vector databases, etc.

Company Reg No.: 201131609D | License No.: 11C4684 | Reg No: R1435178, Nadiah Marican

Key Responsibilities:
1. Utilize large-scale data to explore and build risk control capabilities that span the entire business lifecycle, supporting the healthy and sustainable growth of the business.
2. Collaborate with business teams to develop appropriate risk control strategies, generate risk analysis reports, and identify emerging risk points in business operations.
3. Work closely with business stakeholders to synchronize and address risk points, ensuring the resolution of potential issues within the business.

Qualifications:
1. Strong understanding of business and financial risk control, with experience in anti-fraud and anti-abuse strategies.
2. Demonstrated interest in finance and trading, with strong self-motivation, learning ability, and logical thinking. Experience in managing complex projects is a plus.
3. Excellent product thinking with the ability to use user insights and data analysis to support business decision-making.
4. Bachelor’s degree or higher, preferably in Finance, Computer Science, or a related field. Candidates with interdisciplinary backgrounds are welcome.
5. Proficiency in SQL, Python, A/B testing, and machine learning models.
6. 5+ years of working experience in relevant field

What you'll get in return
This is an exciting opportunity to join a global company. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Denise at Hays on +65 9611 0531 or email [email protected] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D