Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Participate in pair programming and code reviews with fellow developers.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Proficiency in scripting languages (e.g., SQL, Python).

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Job Description:

• Entering data for financial records.
• Process invoices, monitoring & follow up outstanding AR payment
• Prepare monthly bank reconciliation
• Assist in preparing financial statements
• Any other ad-hoc duties as assigned by the manager

Requirement:

• Min. O Level and above
• Minimum 1 year working relevant experience.

*Please be notified that only shortlisted candidates will be notified*

By submtting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: Chan Jun Wei

EA Personnel No: R1543992

EA License No: 21C0845

We are hiring a HR Data cleansing Officer !

Contract Duration: 6 months (possible renewal)

Salary: $2,500 - $3,000

Working Hours: Monday to Friday, 9:00 am - 6:00 pm

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work closely with fellow developers through pair programming and code reviews.
• Lead the design and implementation of data solutions in a big data environment.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).
• Leadership experience in data engineering projects.

ARE YOU SEEKING FOR GROWTH YET YOU WANT A FULFILLING CAREER?

Be ready to embark on a journey which offers you an exciting opportunity!

HERE’S A SHORT INTRO OF WHO WE ARE

Since 2005, finexis has been more than just a financial services provider – we are lifelong confidantes, guiding clients through every stage of their financial journey. As the largest and fastest growing independently-owned financial advisory firm in Singapore, we are proud to have over 900 consultants and staff, $1 billion in assets under advisory, and strategic partnerships, that establish us as a market leader in personalised financial services.

We deliver tailored financial solutions in wealth management, investment planning, and risk management, all driven by our mission to impact lives beyond finance.

WHAT TO EXPECT

This role includes reporting and data analytics, performance management, business partnering and decision-making support.

WHAT YOU'LL DO

• Support business performance management cycles, including planning & budgeting, target setting, performance review, providing management information and analytics (scheduled and ad-hoc), etc.
• Responsible for streamlining and controlling business and financial data processes to ensure the accuracy and reliability of reports and analysis
• Serve as subject matter expert in designing, building, and maintaining business intelligence tools and Tableau dashboards
• Conduct comprehensive market studies to generate actionable business intelligence and strategic insights
• Support initiatives to develop financial models, prepare business cases, and support the implementation of strategic initiatives
• Create and maintain reusable SQL scripts and macros to streamline data extraction, aggregation, and validation processes across multiple data sources
• Undertake special projects and assignments as and when required.

WHO YOU ARE

• Degree in Accountancy, Finance, or related disciplines
• 3 years of working experience in Big 4, financial services, or e-Commerce sectors with financial analyst exposure
• Hands-on experience with Tableau, SQL and Python are highly desirable
• Strong analytical and problem-solving skills, with the ability to exercise sound judgment and intuitive thinking
• In-depth understanding of data structures and data management
• Meticulous, problem solver with a can-do attitude and a desire to excel
• Team player with excellent verbal and written communication skills
• Ability to work in a fluid, dynamically changing, and results-oriented environment

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

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

About TikTok

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

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 TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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.

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

About TikTok

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

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 TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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.

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’s compliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The Challenges:

• Collect, extract, clean and manage data from various sources
• Ensure data accuracy, integrity, and security
• Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
• Prepare, review, and submit regulatory reports to relevant authorities
• Monitor changes in regulatory requirements and adapt reporting processes accordingly
• Collaborate with cross-functional team to gather data and report requirements
• Create and maintain comprehensive reports and dashboards
• Perform data analysis to identify trends, patterns, and anomalies
• Interpret data and provide actionable recommendation for process improvement
• Present data insights and communicate findings, results, and recommendations to stake holders
• Develop and maintain documentation of data processing and reporting processes
• Provide insights and recommendation to improve compliance and reporting efficiency
• Continuously improve and automate the data extraction, integration, and database management processes
• Contribute to the development of data related strategy and initiatives
• Provide project management support in IT related projects that the department is involved with
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a related field
• At least 2 years of relevant working experience in Data Management and Reporting
• Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
• Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
• Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
• Prior hands-on experiences in UiPath (RPA software) will have added advantage
• Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
• Ability to work in a team and independently with minimal supervision
• Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)

Interested Applicants please APPLY HERE or email your resume to [email protected]

Talents@Work Pte Ltd (21C0501)
Sankari Mogan (R24120729)

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

SAS Institute Pte. Ltd.

Data Analyst – SAS Data Science AIML Program supported by IMDA Company-Led Training Programme

Roles & Responsibilities

Interested to pursue a career in Analytics?

Digital transformation is happening everywhere, impacting our lives daily. With fast-paced development and adoption in artificial intelligence and machine learning, careers for the future demand for talents with analytical minds. Individual are empowered to make tactical decisions and strategies, by building models that provide accurate, reliable and accessible metrics.

SAS is committed to nurture qualified, capable individuals, and deepening the skills amongst fresh graduates and young working professionals to be future ready. The SAS Data Science AIML Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Data Analytics, Artificial Intelligence and Machine Learning.

Data analyst role is a path to future roles such as Data Science, AI Developer, ML Engineer, etc. Build your caeer path here by building your skills today for tomorrow's future. Training skills are mapped to TeSA Skills Framework for ICT.

We are currently seeking candidates interested in building a career in Data Analytics.

Why SAS?

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.

This program first started as SAS Business Intelligence and Analytics (BIA) Program in year 2012. It is Singapore’s largest data science and analytics development program supported by IMDA – established over a decade – our curriculum is curated with modules that are constantly updated to meet the latest development and market trends. The program provides in-depth teaching which consists of structured training with assessments, certifications, supervision, and mentorship. As we enter its tenth year, it has since been rebranded as SAS Data Science Artificial Intelligence Machine Learning (AIML) Program to reflect advancement in our training content as well as a greater focus on AIML.

How is the program structured?

Your journey begins at SAS with 4 months of intensive training and assessments to build your knowledge and skills on SAS Programming, SQL, visual analytics, data preparation, machine learning, forecasting and the list goes on. During the course, you will also attain certifications that are globally accredited, where SAS digital badges posted on your social network profiles can be easily verified by anyone via Credly, our digital credentialing program partner. Finally, upon successful completion of your training, you will join one of our partners for a 6-month period, where you can apply what you have learnt and put your skillsets into solving real-world problems.

Skills You will Develop:

· Ability to apply and utilize analytical, statistical, and programming skills to collect, analyze, and interpret large datasets

· Ability to develop and apply custom data models and algorithms to apply to datasets

· Ability to use supervised and unsupervised machine learning techniques to increase and optimize business outcomes

· Ability to design, develop and implement fact-based and data-driven solutions to meet business challenges in the era of artificial intelligence

· Ability to create visualizations and presentations to deliver analytical findings and provide actionable insight

What we are looking for:

· Graduates who can join us from April 2025 OR working professionals who graduated less than 3 years from their degree.

• B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Economics, or equivalent training (we will also consider relevant training attained post-graduation such as Diploma in Data Science).
• Experience or proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, or R, exposure to ETL.

· Strong analytical, problem-solving, and critical thinking skills.

· Excellent communication skills.

· Big ambitions to succeed within the IT industry.

· Ability to work autonomously and in a fast-paced environment.

What we offer you:

· Train and be paid on-the-job (monthly remuneration throughout the Program duration) for industry

recognized training and qualifications.

· Globally recognised SAS certifications awarded during the Program duration.

· Live interactive classes – Develop innovative problem-solving capabilities in modern techniques of

data science using a live online classroom through interactive lectures and labs with advanced

course materials provided.

· Access to virtual labs – using SAS high performance software access to develop codes/models

where learning can take place anytime and anywhere.

· Mentorship and access to resources during the program duration.

· Guaranteed OJT with established local enterprises/SAS partners for 6 months so you can gain

hands-on industry project experience and hone your skills.

· Join our network of program Alumni and SAS communities.

We have multiple start dates all year round, so why not make an application today?

Kindly be informed that only shortlisted candidates will be contacted.

We are looking for a Positive & Proactive Data Entry Assistant who thrives in a fast paced startup environment.

Job Responsibilities:

• Extract ships' movement updates from emails and enter data into operations system
• Check accuracy of vendors' SOA against system's record
• Assist to generate monthly disbursement summary report from system
• Assist to prepare report and invoice to send to customers

Job Requirements:

• Minimum 1-year relevant working experience, including in admin, data entry roles
• Able to work 2 hours any time on Saturdays and Sundays
• Training provided. Can transit to work remotely after becoming proficient
• Proactive Fast learner with a tremendously positive attitude
• Dedicated, detail-oriented and efficient
• Adaptable and Able to work with minimal supervision
• Patient listener with excellent communication skills
• A flair in using new software will be added advantage

Key Benefits:

1. Located across from one-north MRT Station.

2. Health benefits includes medical, hospitalization and surgery insurance.

3. You take part in our vision in helping shipping companies to adapt to change.

We regret that only shortlisted candidates will be notified.