Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

Primary purpose and scope:

• Implement SAP S/4HANA Cloud ERP Public Edition across various customer projects, aligning solutions with business requirements.
• Provide functional and business expertise in finance for SAP S/4HANA Cloud configuration and implementation, ensuring efficient deployment.
• Deliver S/4HANA Cloud demonstrations to support presales activities, showcasing key functionalities and value propositions.

Key accountabilities:

Business Requirements Analysis & Solution Design

• Analyse customer business needs, processes, and objectives to deliver tailored S/4HANA Cloud solutions.

Solution Configuration & Implementation

• Recommend and implement optimal S/4HANA Cloud solutions to meet customer requirements.

Project Implementation & Delivery

• Ensure timely and efficient S/4HANA Cloud implementation, meeting project milestones.
• Proactively identify, document, and address potential risks and challenges, escalating as necessary.

Customer Engagement & Relationship Management

• Regularly engage with customer stakeholders, providing updates and resolving issues.
• Ensure customer satisfaction and acceptance throughout the implementation process.

Training

• Develop training materials and deliver hands-on training sessions for customer teams.

Sales Support & Presales Activities

• Develop and deliver impactful S/4HANA Cloud demonstrations, showcasing key functionalities.
• Collaborate with the sales team to highlight system capabilities and translate technical features into business solutions.

Professional Development & Continuous Learning

• Obtain and maintain required S/4HANA Cloud consultant certifications.
• Stay current with the latest S/4HANA Cloud developments, features, and industry trends.

Why join us:

At ISS Data, you will be part of a dynamic and innovative team, working on diverse projects that make a significant impact in the ERP space.

Join us to lead digital transformation and seize exceptional career growth opportunities.

Minimum Requirements (must have):

• At least of 5 years of experience with SAP Finance (FICO) modules in SAP S/4Hana Cloud projects, including a minimum of 2 years in a consulting capacity within a professional services environment.
• Hands-on experience in at least 2 end-to-end SAP S/4HANA Cloud implementations.
• Strong finance domain knowledge,particularly in financial accounting, controlling, and reporting.
• In-depth knowledge of finance-related business processes in manufacturing, energy, healthcare, distribution, or construction industries coupled with strong problem-solving skills to effectively translate business needs into technical solutions and address complex customer challenges.
• Ability to manage deadline pressure, ambiguity, and adapt to changing environments.
• Proven ability to work independently and collaborate effectively with a team.
• Excellent presentation, communication, and interpersonal skills, with the ability to engage leadership and key stakeholders.
• Singapore citizen or Permanent Resident with a strong proficiency in English; additional language skills are advantageous.

Other Requirements (good to have):

• Experience with SAP Business ByDesign Cloud ERP or other cloud ERP solutions.
• Experience working in global virtual teams.
• Leadership experience in managing teams and multiple priorities to drive successful outcomes.
• Knowledge of business processes in industries outside those listed above.

Note for applicants:

• Applicants with SAP FICO or SAP S/4HANA experience who do not meet the SAP S/4HANA Cloud project or consultancy requirements may be considered for other suitable roles within the Company.
• We regret that only shortlisted candidates will be notified.

• Responsibilities include, but not limited to:
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning required. Exposure to the semiconductor industry is required
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong software development skills.
  • Strong verbal and written communication skills.
  • Experience with or desire to learn:
  • Machine learning and other advanced analytical methods
  • Fluency in Python and/or R
  • pySpark and/or SparkR and/or SparklyR
  • Hadoop (Hive, Spark, HBase)
  • Teradata and/or another SQL databases
  • Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • SSIS, ETL
  • Javascript, AngularJS 2.0, Tableau
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions
  • Experience working with Manufacturing Execution Systems (MES
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for an experienced and motivated business-oriented Data practitioner who possess a unique balance of business knowledge and Technology depth in Data and Analytics with hands on keyboard delivery implementation experience in the cloud. AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

-Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way. -Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail. -Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out. -Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS. -Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's Degree or equivalent experience in STEM.

- 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).

- Ability to think strategically about business, solutions and technical challenges.

- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

- 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI - Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.

- Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

- Advanced degree desired (e.g., MBA, MS)

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

In this role, you will be responsible developing, implementing, and maintaining data governance frameworks and risk management strategies to ensure the integrity, confidentiality, and availability of our organization's data assets. This role requires understanding of data governance principles, risk management methodologies, and regulatory compliance requirements.

Data Governance Framework Development:

• Develop and implement data governance policies, standards, and procedures to ensure data quality, consistency, and security.
• Establish data governance frameworks and best practices to manage data assets effectively.
• Collaborate with cross-functional teams to define data ownership, stewardship, and accountability.

Risk Management:

• Identify, assess, and prioritize data-related risks and develop mitigation strategies.
• Conduct risk assessments and impact analyses to evaluate potential threats to data integrity and security.
• Monitor and report on data governance and risk management activities to senior management.

Regulatory Compliance:

• Ensure compliance with relevant data protection regulations, such as PDPA, GDPR, and other industry-specific standards.
• Develop and maintain documentation to demonstrate compliance with regulatory requirements.
• Stay up-to-date with changes in data protection laws and regulations and update policies accordingly.
• Provide advises on data related incidents and escalations as necessary

Data Quality Management:

• Implement data quality management processes to ensure the accuracy, completeness, and reliability of data.
• Develop and maintain data quality metrics and dashboards to monitor data quality performance.
• Collaborate with data owners and stewards to resolve data quality issues and implement corrective actions.

Training and Awareness:

• Develop and deliver training programs to educate employees on data governance and risk management principles.
• Promote a culture of data governance and risk awareness across the organization.
• Provide guidance and support to data owners and stewards on data governance best practices.

Stakeholder Engagement:

• Work closely with business units, IT, legal, and compliance teams to ensure alignment on data governance and risk management objectives.
• Facilitate data governance committees and working groups to drive data governance initiatives.
• Act as a liaison between business and technical teams to address data governance and risk management concerns.

Who we are looking for:

Competencies & Personal Traits

• Driven and Self-initiated individual
• Strong stakeholder management
• Strong communication skills, ability to storyline and engage in focused discussions
• When empowered, not afraid to make decisions
• Operates effectively even when things are not completely certain

Working Experience

• 4-8 years’ working experience
• Relevant experience in Consulting relating to data management or across multiple business disciplines as data governance professionals, business process engineers or business reporting functions
• Experience in working in a diverse organisation and across front to back business processes

Professional Qualifications

• Knowledge of tools and techniques of data governance
• Knowledge of tools, techniques and processes for gathering and reporting data

Education

• Degree holder of any business/ financial related discipline

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

QUALIFICATIONS / EXPERIENCE

• At least 10 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.
• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’
• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.
• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)
• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.
• Basic understanding of data quality, profiling, and analytics concepts.
• Working experience with test management tools such as Jira with Xray / Zephyr
• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model
• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.
• Good to have basic programming knowledge in Python
• Good to have knowledge of Azure cloud platform.
• Good to have working experience in investment Bank or Asset Management industry.

OTHER TRAITS

• Positive attitude and collaborative mindset.
• Willing to work across projects and perform manual / automation / exploratory testing
• Highly motivated to keep abreast with the latest development in technology and to acquire deep technical knowledge and skills.
• Excellent communication, presentation, and interpersonal skills.

Job Description

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

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

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Description:

• As a key member of HR payroll and data management team, you will ensure accuracy, consistency and standardization of HR processes to ensure efficient administration of all HR activities that complies with company’s policies and government legislations.
• You will work proactively in partnership with key stakeholders to deliver end-to-end processing of employee data, keep proper documentation and records, and administer the staff compensation and benefits.
• In addition to the day-to-day operations, this role will identify and streamline the HR processes and develop a centralized shared service unit at the group level to drive quality HR services (covering full employee lifecycle) to employees in a large organization.
• There will be projects centered around HR system enhancements in SuccessFactors, BIPO Payroll, Leave and Attendance Management for you to hone your project management skills and develop yourself to be the subject matter expert on the deployment of HRIS.

Job Requirements:

• Minimum 2 years or more relevant HR Shared Service Experience.
• Diploma/Degree in Business Administration, Human Resources, Psychology or related.
• Hands-on experience on SuccessFactors is a pre-requisite.
• Knowledge on Payroll administration is an advantage.
• Proficient in Microsoft Office applications.
• Prior experience in HR shared services environment with a large organization is preferred.
• Highly self-motivated, committed and resourceful; with initiative and drive to deliver organized and meticulous work.

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are seeking a highly skilled and experienced Technical Lead to join our dynamic team. The ideal candidate will have a strong background in ETL engineering in Azure and Spark based frameworks. As an Technical Lead, you will be responsible for leading the design, development, and implementation of ETL processes and data integration solutions to support our data analytics and business intelligence initiatives.

Job Responsibilities

• Lead the design, development, and implementation of ETL pipelines to extract, transform, and load data from various sources into data warehouses and data lakes using Azure Data Factory/ Synapse, Pyspark, SQL
• Experience in files, API’s and streaming based ingestion.
• Familiarity with metadata-based ingestion frameworks
• Design routines to capture data quality and apply corrections
• Monitor and optimize ETL processes for performance, scalability, and reliability.
• Troubleshoot and resolve data integration issues in a timely manner.
• Understands the technical integration touchpoints with other solution components such as front end applications and data governance tools
• Collaborate with data architects, data scientists, and business stakeholders to understand
• Mentor and guide junior ETL engineers and provide technical leadership to the team.
• Stay up-to-date with the latest trends and best practices data integration technologies.

Key Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
• 6 to 8 years of experience as a Technical Lead in Azure data engineering with expertise in ETL engineering and data integration techniques.
• Proficiency in PySpark
• Experience in implementation of data platforms in Singapore Government Commercial Cloud (GCC)
• Strong SQL skills and experience with relational databases and data warehousing solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications:

• Experience with Azure cloud-based data platforms
• Certifications in Azure data engineering or related areas.

About the Client

Our client is one of the reputed MNC in Singapore

Responsibilities

• Work as a technical expert on Data Scientist / Algorithms / Machine Learning and present research findings to stakeholders internally and externally. Demonstrate thought leadership in the area of data science and machine learning
• Responsible in leading in AI projects such as trade validation and settlement extraction systems
• Collect, analyze and interpret qualitative & quantitative data with statistical theories and methods.
• Responsible in implementation of Pricing Optimization / statistical frameworks
• Create and review technical design documentations, Researches, including proposals, white papers, presentations, formal recommendations and reports.
• Developed a deep learning-based financial document OCR, enabling extraction of trade economic information from complex documents

Skills/Requirement

• Degree in Computer Science/Mathematics/ Statistics or equivalent
• Minimum 5+ years of experience in Data Scientist and Machine learning technologies
• Strong experience in Data Science and Statistical methods for AI/ML including Deep learning methods
• Extensive experience in software development cycles and excellent programming skill with scripting languages & frameworks like Machine learning, Python, R, Scala, Java, TensorFlow, PyTorch.
• Good understanding of cloud based AI/ML products from Google, Azure, and AWS.
• Good knowledge of Agile Methodologies
• Familiar with micro service and/or big data technologies, eg. Openshift, Cloudera, Elasticsearch
• Strong experience in Data Models, data pipelines, Model Monitoring , MLops is required

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

We regret to inform that only shortlisted candidates will be contacted

PERSOLKELLY Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an emailto let us know. Please feel free to contact us if you have any queries.

All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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About Us

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Responsibilities:

1. Cooperate closely with Product Managers and provide actionable insights to drive SEA business growth, and improvement of operational efficiency.
2. Leverage data analysis expertise to design data solutions to solve commerce product problems such as supply growth, seller growth and marketplace efficiency etc.
3. Design and conduct A/B testing experiments to estimate the new product feature launch, to help evaluate the ROI efficiency.
4. Provide in-depth analysis with localized suggestions for improvements to align with business goals.
5. Build and improve data infrastructure such as dashboards and self-serve analytics tools to improve efficiency and support decision-making.

Qualifications

Minimum Qualifications

1. At least 3 years of working experience in data analytics, with a Mater's degree or above.
2. Proficient in SQL, Python or R, and expertise in A/B testing experiment design is required.
3. Familiar with the product design process, and experience as partner to Product Managers is highly preferred.
4. To succeed in the role, you need to be a proactive, self-driven and impact-driven person.

Preferred Qualifications

1. Able to work with cross-functional teams in a fast-paced environment.

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.

Duration: 7-8 months

Mon to Fri office hours

Bugis

Salary : Up to $3.8K

Responsibilities:

• Define and implement logic for calculating variable cost components to derive standard cost rates for different equipment sizes at each port-pair.
• Enhance costing logic to adapt to market changes and optimize pricing and cargo selection.
• Analyze and report variances between calculated and actual shipping costs.
• Assess equipment situations at locations to determine balance assumptions and repositioning costs.
• Collaborate with regional offices, local agents, procurement, finance, and trades to provide accurate cost information.
• Provide business requirements to the Information System Department for data analysis and system enhancements.

Job Requirements:

• Min Degree in Maritime, Data Science, Statistics, or equivalent.
• Min 1 year of experience in data analytics.
• Excellent data management, spreadsheet, and presentation skills.
• Knowledge of Tableau and Power BI preferred but not required.

If interested, please email your resume to [email protected]

➖

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

[email protected]

About Us

SPH Media’s mission is to be the trusted source of news and lifestyle content in Singapore and Asia.

One of our core purposes is to produce credible, balanced, and objective news and analysis, always with a view to uphold the public good and fostering an informed, engaged citizenry.

We welcome talented individuals to join us and grow a career in a vibrant and collaborative environment built around a culture of respect and inclusivity.

As an employer, we are committed to rewarding our people fairly and developing them in their careers.

Roles & Responsibilities

• Collaborate with journalists and/or alone on news content assignments
• Shoot, edit and produce daily news videos
• Use Data Visualisation software and Digital Graphics tools to create tables, and infographics that will accompany news articles
• Search for relevant data and information from various official sources to present with articles published

Job Requirements

• Relevant Diploma or Degree in Marketing, Communications, Video Production, Design, Journalism, or any relevant fields
• Effectively bilingual (English/Tamil) to be able to cater to the Tamil Murasu audience
• At least two years of relevant experience
• Ability to plan, set up, light, and prepare audio requirements for shoots
• Solid understanding of shot composition, framing, and storytelling techniques
• Proficiency in Figma, Adobe CC (Premiere Pro, Illustrator, Photoshop, After Effects). Knowledge in HTML, CSS and JavaScript is a plus
• Proficiency with data visualisation and interactive web design platforms
• Creative individual, and a self-starter that initiates and executes innovative content
• Inclination towards visual storytelling and crunching large volumes of data into visual charts, graphics and imagery

This role will be on a contractual basis and will end in March 2026.

Our Client is one of the top educational institution in Singapore.

Scope of Work

The Accreditation and Data Management office oversees the college’s Association to Advance Collegiate Schoold of Business (AACSB) and Europen Quality Improvement System (EQUIS) accreditations, course approvals, institutional data (including data governance and protection) and programme rankings as well as provide support on academic matters related new strategic directions, Outcomes Based Teaching and Learning (OBTL), assessment rubric design and the e-Rubric platform (Gradeway).

• Ensure course and assessment designs align with OBTL principles
• Support Assurance of Learning and other accreditation matters
• Ensure data accuracy and reliability
• Manage data protection and ensure PDPA compliance
• Cultivate collaborative relationships with key stakeholders within the university

Requirements

• Knowledge of learning taxonomies and pedagogical concepts (eg: OBTL, constructive alignment)
• Bachelors Degree from a reputable university
• Minimum 5 years related experience. Teaching experience will be advantageous
• Proficient in MS Office
• An outgoing personality with strong interpersonal and communication skills
• Excellent time management and project management skills
• Creative, enterprising, independent and resourceful
• Meticulous attention to details

If you are keen to know more about this role, please email Mary at [email protected] and send your resume in MS Word format. Note that only shortlisted candidates will be contacted.

EA Licence No: 93C4403

EA Regn No: R1326974

Bookkeeper Clinic assistant | Up to $2.5k | Orchard

• 5.5 Days
• 8.30am to 5.30pm / 8.30am to 1pm
• S$ 2,200 to 2,500
• Location: Orchard

Job Scope:

• Maintain & Manage records, Filing, Key in data
• Answering calls, Cashiering, Dispensing of medications
• Maintain hygienic environment, ensure patient safety

Job Requirements:

• Minimum O levels is required

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

Key Responsibilities:

Python Development:

• Develop efficient, reusable Python code while adhering to Object-Oriented Programming (OOP), Don't Repeat Yourself (DRY), and Test-Driven Development (TDD) principles.
  • Lead the design, development, and maintenance of Python-based applications.

Cloud Infrastructure:

• Build and manage serverless applications using AWS services such as Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Ensure the scalability, performance, and security of cloud-based systems.

Collaboration and Agile Development:

• Collaborate with cross-functional teams including front-end developers, DevOps engineers, and product managers to deliver features in an Agile environment.
• Participate in daily stand-ups, sprint planning, and retrospectives to contribute to team goals.

Performance Optimization and Troubleshooting:

• Troubleshoot and optimize applications to enhance system performance.
• Resolve complex technical issues related to cloud services and Python-based applications.

Code Review and Testing:

• Participate in code reviews to maintain high code quality.
• Ensure comprehensive testing and participate in the continuous integration and deployment (CI/CD) process.

Containerization:

• Work with containerization technologies like Docker to package and deploy applications.
• Support container-based development and deployment environments.

Security and Compliance:

• Implement security best practices in line with cloud-based systems.
• Ensure compliance with internal and external regulations related to data security and software development.

Qualifications:

Experience:

• 5+ years of hands-on Python development experience.
• Proven experience in developing serverless applications using AWS Lambda, DynamoDB, SNS, SQS, S3, and CloudWatch.
• Experience with containerization tools like Docker.

Skills:

• Strong understanding ofOOP, DRY, TDD principles, and other software development best practices.
• Experience with troubleshooting and optimizing cloud-based systems.
• Hands-on experience with CI/CD tools and processes.
• Knowledge of Agile methodologies and working in cross-functional teams.

Preferred Skills:

• Experience with additional cloud platforms (e.g., Google Cloud, Azure).
• Familiarity with infrastructure-as-code (e.g., AWS CloudFormation or Terraform).
• Knowledge of microservices architecture and distributed systems.