Responsibilities

• Accurately input, update, and maintain data in the CRM system.
• Ensure all data is entered correctly and correct format.
• Correct any errors or inaccuracies in the data and re-enter the correct information
• Handle other ad-hoc administrative matters assigned

Requirements

• No experience needed
• Proficient in MS Office

Interested applicants please email your resume to [email protected]

Megan Ng Su Ting

CEI Registration No.: R23115059

Recruit Express Pte Ltd

EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

• Working Days: Mon Fri 830am to 530pm
• Location: Ang Mo Kio
• Salary: $1,800

Job Responsibilities:

• Perform data entry tasks with accuracy and efficiency.
• Assist in issuing invoices and managing related documentation.
• Support day-to-day office operations, ensuring smooth and efficient workflows.
• Handle additional administrative duties as assigned.

Job Requirements

• Proficiency in Microsoft Office

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

Job Scope:

· Data entry, filing, recording and maintaining accurate records as per the company’s SOP

· Administrative support

· Any other ad hoc duties as assigned

Requirements:

· Well versed in MS Excel or similar data entry tools

· Good communication skills and eye for details

· Accurate and diligent

Additional Information:

· Commencement Date: Immediate for 6-month contract

· Working days and hours: Mon – Fri, 9am to 6pm

· Location: Mapletree Business City, Labrador Park MRT

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

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 that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Description

- Point of contact for users across the BANKS for data issue escalations. The EDM team ensures that data hosted in data warehouse is of good quality and conforms to data standards such as completeness, accuracy and consistency, to support regulatory and management reports. The team also promotes data automation and makes use of data to help develop initiatives to improve productivity.

- Data discovery through provision data requests to respective Data Playpen for business units across the Group. - The objective advocates self-service data exploration and analysis within and among Business/Support Units. - Data definition and specification documents are available to provide navigational guidance and support for data provision purposes.

Your main responsibilities include:
- Gathering and documenting business requirements & functional specifications on data related initiatives.
- Perform data profiling and gap analysis, source to target mappings, data issue capturing, resolution and escalation.
- Provide end-to-end project delivery support, including workshop planning, conducting of workshop walkthrough, user acceptance testing ,defect support, continuous validation and assisting with rollout activities.
- Able to perform complex SQL scripting to meet user’s requests.
- Foster strong working & collaborative relationships with the business & technology stakeholders.

Requirements
- Minimum Bachelor Degree or equivalent professional qualifications in Computer Science with at least 2 years of working experience in banking industry, preferably with business / functional knowledge;
- Experience in gathering and documentation of business requirements;
- Knowledge in Data Warehousing, BI tools, Big Data platforms and experienced in the use of analytical /query tools.

- Must be able to query and understand database solutions.
- Experience in developing and documenting data-driven solutions – including capturing architectures, metadata systems, data dictionaries, databases and applications.
- Good team player who possesses drive and initiative;
- Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.

JOB DESCRIPTION -

- Data Entry

- Documents Checking / Filing

- Issue work order / invoice

- Issue Delivery Order

- Prepare sales documents such as delivery order, packing list, etc

- Track and ensure proper documentation and paper trail

JOB REQUIREMENTS -

· ITE Cert in accounting or equivalent

· Knowledge of MS Office

· Able to multi-task and willing to learn

- Well organized, meticulous and good time management

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirement:

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

About the Role:
We are seeking a highly motivated Metadata Specialist to join our team. In this role, you will play a key part in the implementation and management of metadata to support enterprise data governance and compliance initiatives. If you have a strong background in data management, problem-solving, and stakeholder engagement within the financial services domain, we’d love to hear from you.

Key Responsibilities:

• Manage metadata activities across the entire lifecycle, including collection, quality control, and maintenance.
• Conduct thorough reviews of metadata to ensure accuracy, quality, and compliance with organizational governance standards.
• Provide recommendations on metadata improvements based on stakeholder input and governance guidelines.
• Support the onboarding of stakeholders, particularly within financial institutions, into the organization's data governance and compliance roadmaps.
• Collaborate with cross-functional teams to ensure metadata aligns with enterprise data management objectives.
• Identify, analyze, and resolve metadata challenges to support effective data discovery and utilization.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience with metadata management, quality control, and governance processes.
• Strong problem-solving skills, with the ability to analyze complex metadata issues and provide actionable solutions.
• Experience in stakeholder engagement, particularly in guiding financial institutions through data governance frameworks.
• Excellent communication and interpersonal skills to collaborate with various teams and stakeholders.

Preferred Qualifications:

• Familiarity with enterprise data governance tools and platforms.
• Experience in metadata management within financial institutions or highly regulated industries.
• Knowledge of compliance and data governance best practices.

EA License: R1873481

Company EA License: 11C4879

Main Responsibilities

• Research, design, and develop computer and network software or specialised utility programs. Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Identify and resolve issues which have organisation wide and long-term impact. Identify security risks, creates requirements to capture security issues, and performs initial threat modelling to ensure coding standards meets security requirements
• Develop and maintain the software configuration management plan and oversees the building, verification and implementation of software releases. Provide guidance and technical support to the quality testing teams.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Collaborate with cross functional teams (business analysts/ support teams… ) to ensure smooth integration of new features and updates and troubleshoot, debug, and resolve application-related issues
• Stay updated on industry trends, emerging technologies, and regulatory changes relevant to capital markets.
• Participate to proof of concept for new technology R&D
• Contribute to continuous improvement and automation by leverage your programming skills to create custom tools and scripts that automate repetitive tasks and reduce manual effort.
• Develop scripts and automation tools using Python, shell scripting, and other basic programming languages to streamline processes and improve efficiency
• Engage and support others in the team, readily put forth his ideas in a clear and compelling manner.
• Collaborate with computer hardware engineers to integrate infrastructure constraint (whether in-premise or cloud) hardware and software systems aligned with capacity, develop specifications and performance requirements.

Job Requirements:

• Candidates should have 5 - 8 years experience in relevant activities.
• Master or Bachelor’s degree in Computer Science/ Information Technology/ Programming & Systems Analysis/ Science (Computer Studies) faculties.
• Good knowledge of BigData, Hadoop, Javaspark, Java
• Good knowledge of Domain-Driven design and Microservices, springboot
• Good knowledge in UNIX platform and database management systems(SQL, Oracle, HQL)
• Experience with automation frameworks and libraries.
• Proficiency in scripting languages (Python, Shell script, PowerShell, SQL…)
• Valuable exposure to tools & technologies like Elastic Search, Grafana, Prometheus, Kibana, Control-M, KAFKA, Confluence, Jira, Gitlab
• Knowledge of Cloud platforms and services
• Experience in DevOps tooling (GIT, Maven/Graven/Nuget/Ansible, Jenkins… )
• Experience with Docker/Kurbernetes
• Experience in supporting capital market applications and trading systems, ideally within the dynamic landscape of Market Risk/Front Office operations with a commendable grasp of financial products (Treasury, FX, Credit, IRD, Bonds, RSF etc.)

Interested applicants please send your resume in MS Words format and attn it to Tan Joanna (R1104661).

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1104661

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. Licence Number: 10C5117

The Job

To support the fast-growing data analytics function, we are looking for a highly talented Data Analyst. The ideal candidate will be responsible for:

• Building trust, relationship between the Data Team and our business stakeholders, and being responsible to further the maturity in Analytics in the business divisions he/she supports.
• Collaborating and partnering with business units and external partners to identify, plan and prioritise descriptive and prescriptive analytics projects to foster a data-centric culture that produces business impact.
• Partnering with Data Engineering to improve the data availability and quality of data pipelines, tools and processes. Including driving initiatives to standardise organisation metrics and leading data democratisation across the organisation.
• Partnering with other Data Units across the organisation such as the Data Science Team, Audience Engineering, Data Programs, and Innovation Teams in order to find and drive project synergies to drive value in data and analytics in the business lines.
• Contributing to data growth within the organisation by being part of infrastructural project teams and providing a point of view from business unit analytical needs.
• Hands on work on chosen data analytics projects where he/she thinks he/she can most add value to the team and the business. He/she is expected to be highly independent, and to lead business intelligence and analytics projects through the entire lifecycle. The ideal candidate will possess relevant domain, technical, critical thinking and interpersonal skills.
• Thought leadership in advancing SPH Media’s digital transformation and advancing the maturity of the use of data and analytics across the organisation.
• The team is highly diversified with members from completely different backgrounds, but we all believe in systematic approaches and we are always open to new solutions.

General Knowledge & Experience

• At least 2-5 years of experience in a Data Analyst role
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields. Or relevant experience in lieu of a degree.
• Exposure and understanding of digital media industry metrics is a bonus

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Relevant study in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

Do you possess excellent problem-solving abilities, programming skills and a passion for creating innovative applications?

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving complex data science problems through ground-breaking innovations and bringing them to actual production?

Do you feel comfortable in challenging problem-solving environments where the issues you are confronting often have no pre-set solutions, require first-principles thinking, and need to be addressed on tight deadlines?

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies. It is headquartered in the United States and maintains a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable the cost-effective storage of vast datasets to statistical modelling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, earning accolades such as the AWS Technology Company of the Year award in 2019. Additionally, we have been recognised as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities

Advanced Analytics:

• Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
• Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

• Apply machine learning techniques to optimise and personalise Telco product features.
• Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.
• Data Modelling: Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
• Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

• Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
• Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

• Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

• Educational Background: Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Experience: Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
• Strong experience in applying machine learning algorithms and statistical modelling in the Telco domain.
• Technical Skills: Proficiency in programming languages such as Python or R.
• Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.
• Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
• Familiarity with Telco-specific datasets and data sources.
• Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.
• Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.
• Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.
• 
  

If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.

Only shortlisted candidates will be notified.

No job recruitment agencies.

Job Responsibilities:

● Collaborate with product managers and engineers to identify and define offshore and marine product development problems that can be solved using data science and machine learning techniques.

● Design, develop, and implement data science solutions to improve product performance, efficiency, and reliability.

● Build and maintain data pipelines and infrastructure to support product development and data science activities.

● Collaborate with other scientists to develop and share best practices in data science and machine learning.

● Stay up-to-date on the latest trends and developments in LLM and generative AI, and apply your knowledge to improve the company's products and services.

Qualifications:

● Master's degree in Data Science Statistics, naval architecture, marine engineering or a related field.

● 1 - 3+ years of experience in data science and machine learning with a focus on LLM and generative AI.

● Strong programming skills in Python, R, or a similar language.

● Experience with data mining, machine learning, and statistical analysis tools and techniques.

● Experience with cloud computing platforms such as AWS, Azure, or GCP.

● Excellent problem-solving and analytical skills.

● Strong communication and teamwork skills.

Our Addresses and Working Hours:

Seatrium (SG) Pte. Ltd.

(Pioneer Yard)

50 Gul Road Singapore 629351

Mon - Thu: 8:00am – 5:15pm

Fri: 8:00am – 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium (SG) Pte. Ltd. and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Responsibilities:

The incumbent is responsible for the claims processing, which includes but not limited to:

· Assist in the claims processing including outpatient and inpatient claims

· Provide customer service to service providers and client

· Ensure accurate reimbursement to employees/service providers on timely manner

· Data entry and adjudication of outpatient and inpatient benefit claims

· Assist in answering phone calls and email enquiries from service providers, corporate HR and employees

· Respond to enquiries and complaints

· Provide support to resolve problems

· Ensure accurate reimbursement to employees/service providers on timely manner.

· Verify that claims are processed and reimbursed according to clients’ requirements and policy

· Prepare letter/emails of rejected claims

· Assist with preparation of explanation of benefits letters

Requirements:

· Minimum GCE O Level

· 1-3 years of work experience, preferably in healthcare industry

· Proficient in MS office

· Excellent Customer Service skill

· Meticulous with keen attention to details

· Excellent communication skill

· A Resourceful individual who can work independently and is also a team player

· Ability to multi-task and prioritise work

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Engineer

Internal Code: A2412

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

This Data Analyst role is critical for establishing robust data processes, maintaining data integrity, and supporting the company’s efforts toward leveraging high-quality data for decision-making and AI transformation. Key responsibilities include:

1. Creating Data Processes: Develop procedures for data entry, database integration, and sharing to standardize processes, prevent data duplication or corruption, and ensure long-term data preservation.
2. Protecting Data: Maintain data integrity by identifying and removing duplicates and imperfections, ensuring efficient database functionality. Assess data security risks and monitor usage to prevent breaches.
3. Managing Data Lineage: Track data origins and uses to facilitate issue resolution, ensuring accurate and reliable data.
4. Maintaining Data Quality: Use customer feedback to develop systems for high-quality data, providing actionable insights for better decision-making. Regularly report metrics, track issues, and make recommendations to management.

Key Responsibilities:

• Master Data Management:
  Oversee global master data lifecycle processes, including creation, validation, and deactivation for ERP and CRM systems.
  Develop and enforce data governance policies and procedures.
  Ensure data quality and integrity across systems.
• Process Improvement:
  Suggest or support process improvements and best practices in data management.
  Conduct regular data audits and quality assessments.
• Training and Support:
  Provide training and support to staff on data management practices.
  Resolve data-related issues and discrepancies within systems.
• Documentation:
  Maintain documentation for data management processes and policies.
  Translate business requirements into data modeling solutions and infrastructure.
• Data Operations:
  Responsible for data migration and standardization across the organization.
• Data Visualization and Reporting:
  Develop and maintain data visualizations and reports to support decision-making.
  Collaborate with stakeholders to define reporting needs and ensure alignment with business objectives.
  Utilize tools like Power BI to create dashboards and deliver insights in an accessible format.

Minimum Qualifications

• Education:
  Bachelor’s degree in Information Technology, Business Administration, or a related field.
• Experience:
  3-5 years of experience in master data management or a similar role.
  Proficiency in Microsoft SQL Server with advanced SQL query skills.
  Strong understanding of data architecture and governance principles.
• Skills:
  Proficiency in data management tools (e.g., MSSQL Server Management Studio, Power BI, Excel).
  Strong analytical and problem-solving abilities.
  Excellent communication and interpersonal skills.
  Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Data Analyst

The successful incumbent will be responsible for establishing robust data processes (collecting, analysing, and interpreting) and maintaining data integrity in support of the company’s efforts towards leveraging high-quality data for decision-making.

· Ensures accuracy, completeness and data integrity by performing data validation, cleansing and normalization procedures.

· Manages and updates databases, data warehouses and data repositories to ensure data accuracy, consistency and accessibility.

· Performs data migration and standardization.

· Implements data validation and verification procedures by performing regular data audits and quality assessments.

· Recommends process improvements and best practices in data management.

· Collaborates with outsourcing team on data processing.

· Collaborates with stakeholders to define data requirements and KPIs for analysis.

· Develops and maintains Power BI dashboards to transform raw data into actionable insights.

Requirements:

· Bachelor of Science in Business Analytics or equivalent.

· At least 2 to 3 years of experience in master data management or similar.

· Proficient in Excel, SQL and data analysis automation.

· MSSQL & PL/SQL development experience is advantageous.

· Demonstrates strong data analytical and problem-solving skills.

· Proficient in data visualization tool especially in Power BI for creating reports and KPIs.

· Knowledge of business processes especially in purchasing activities or supply chain.

We regret to inform that only shortlisted candidate will be notify.

EA License No : 18C9228 REG No : R1324979 (Woo Kum Yoke)

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Job Requirements:

• Degree in Information Technology or equivalent.
• Must have minimum 8-10 years of experience in Data Engineering.
• Must have experience in Azure Datalake Storage and Dremio.
• Must have experience in Power BI visualisation.
• Must have experience in Spark SQL, DAX, PowerQuery M
• Must have experience in Data Modelling with Data bricks and Delta Lake
• Experience in Security and Governance tools Unity Catalog and RLS
• Must have strong understanding of Statistics.
• Good to have certification in Data Bricks and related technologies

Data Analyst

1 year contract, potential to renew

Come and join us!

Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?

“FIND YOUR PLACE” by joining a world-class US Consumer company

Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.

Company Description:

Our client is an American consumer health company. It is the proprietor of well-known consumer brands. They combine the power of science with meaningful human insights to empower people around the world to live healthier lives.

What You Will Do

The Data Analyst is responsible for collecting, processing and performing statistical analyses of large sets of data. The candidate will work with both structured and unstructured data to extract insights and identify patterns that can help businesses make informed decisions, including performing data entry tasks.

Major Responsibilities:

• Maintain timely and accurate data entry for Innovation projects into Planisware (Project System).
• Collecting and interpreting data from various sources to identify trends, patterns, and insights.
• Implementing data analysis tools and techniques to improve business decision-making.
• Creating reports and visualizations that help to communicate complex data in a clear and concise manner.
• Working with large amounts of data incl. real-time, to provide meaningful insights and recommendations that help to drive right decision making for business growth.
• Ensuring data accuracy, completeness, and consistency.
• Developing and implementing data quality standards and processes.
• Staying up-to-date with emerging tools and technologies in data analytics (e.g. PowerBi, ChatGPT, SQL or Python)
• Collaborating with cross-functional team to understand business problems and develop right solutions.
• Communicating findings and recommendations to stakeholders in a clear and actionable way.

Required Qualifications, Capabilities, and Skills

• Degree in any Business/ Information Technology/ Engineering field with minimum 2 years of experience
• Ability to prioritize and multi-task
• Proficient in Microsoft Office
• Ability to work independently and as part of cross-functional team
• Strong attention to detail
• Ability to maintain confidentiality
• Excellent etiquette across all standard modes of communication and ability to manage competing priorities i.e. calendar management
• Experience with Data Visualization tools like Power BI
• Experience in innovation and life cycle project management with PMO skills
• Good financial understanding and analytics skills

Interested parties, kindly click on the apply button.

Alternatively, you can share your CV at [email protected]

EA License: 94C3609

Reg No: R1440247

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Bachelor degree in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.