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 Quality Engineer/Analyst

Internal Code: A24122

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.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes -Working in the financial or banking industry & Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in - Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in- Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment,often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in -Python development & Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in - Unix shell scripting & SQL development.
• 2–3 years of experience in Spark programming.

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

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

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.
• 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 in an Agile environment, practicing Continuous Integration and Delivery (CI/CD).

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, and AWS Lambda.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Familiarity with cloud technologies (AWS, Azure, Google Cloud).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).

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).

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

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

Why Join Us

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

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

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

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

About the Team

TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..

- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.

- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.

- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.

- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

- Bachelor's degree with 3 years of related work experience.

- Expertise in SQL and programming in Python or R.

- Familiar with A/B testing

- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

- Experience of LIVE related business.

- Knowledge of machine learning and recommendation systems.

- Experience with big data technologies.

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.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Selected candidate will be engaged under a third-party agency payroll for the tenure of employment in SRC. 2-year contract (with possibility for contract renewal).

Key Responsibilities:

• Maintain and update database in Asset Management System and Excel.
• Organize and manage data for easy retrieval and analysis, ensuring data accuracy and integrity.
• Develop dashboards in Power BI to enhance asset management.
• Compile and attach reports from various sources.
• Provide general clerical support, including filing, copying, and scanning documents.
• Coordinate with other departments to gather necessary information.
• Handle correspondence and communication related to technical tasks.

• Diploma related to IT / Engineering is required.
• At least 1-2 years of experience in a clerical or administrative role.
• Strong proficiency in Microsoft Excel, including advanced functions and formulas.
• Basic knowledge of report generation and document management.
• Experience with data management and analytics is highly desirable.
• Previous experience in a technical or engineering environment is a plus.
• Power BI advanced user certification and experience handling "big data" is an advantage.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Working Location: Labrador Park

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Collect, clean, and analyze data to support business decision-making
• Create and maintain reports, dashboards, and presentations to visualize insights
• Conduct research to identify trends, opportunities, and risks within the industry
• Analyze workflows and recommend improvements for efficiency
• Work with teams to support key initiatives and achieve business goals
• Track market and industry developments to provide actionable insights
• Use software tools like Excel, SQL, or data visualization platforms to manage data
• Handle special projects or tasks as assigned by the team lead

JOB REQUIREMENTS

• Minimum Diploma and above
• Proficiency in Excel and basic understanding of data analysis tools
• Strong analytical skills with the ability to interpret data and identify trends
• Clear and effective communication for presenting findings and collaborating with teams

EA Reg. Number: R21100629

EA License Number: 22C1278

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

Our Company

We are part of a regional outsource events & marketing company, currently located in certain parts of South Asia. Where we work closely with clients to provide marketing solutions, increases market shares and creating brand awareness.

Our Environment

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

Recruiting

We are looking out for potential candidate to join us as Events & Marketing Representative in our expansion plans.

As long as you are:

• FUN

Are you driven and ambitious? ‼️

If so, we want you to be on our team as a Sales and Marketing Superstar!

• Assisting Executives and Lawyers with the filing/prosecution/renewal of trademarks
• Conduct searches and prepare search reports
• Draft email responses to clients on quotations and to respective overseas agents for conducting searches
• Responsibilities will include full administrative support such as generate file number, opening physical files, photocopying, faxing, filing, monitoring deadlines, dispatch, prepare draft bills, check unbilled, disbursements and excess payments
• Any other matters/projects that the management may require assistance with from time to time

Requirements:

• Diploma / 'A' level / 'O' level / Nitec in Office Skills
• Min 1 year of clerical or administrative experience
• Good interpersonal and communications skills
• Able to work independently in a fast-pace environment
• IT savvy and proficient in MS Office.

Please visit our website at www.drewnapier.com for other available vacancies.

Kindly state full details of qualifications, experience, current and expected salary in your resume.

(We thank all applicants for writing in. Only shortlisted candidates will be notified. All applications will be treated with the strictest confidential).

77

• Preparing official forms for filing of new applications
• Generating file numbers
• Data entry
• Opening physical files
• Monitor deadlines & prepare reminders to clients on upcoming deadlines
• Generate payment vouchers and invoices
• General administrative duties including photocopying, faxing and dispatch
• Any other matters/projects that the management may require assistance with from time to time.

Requirements:

• Diploma in any discipline/ GCE 'A' level/ GCE 'O' level/ GCE ‘N’ level/ Higher Nitec in Office Skills
• Minimum 1 year of clerical or administrative experience
• Good interpersonal and communications skills
• Able to work independently in a fast-paced environment
• IT savvy and proficient in MS Office

Please visit our website at www.drewnapier.com for other available vacancies.

Kindly state full details of qualifications, experience, current and expected salary in your resume.

(We thank all applicants for writing in. Only shortlisted candidates will be notified. All applications will be treated with the strictest confidential).

33,47,48

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Data Application Specialist

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• From 2 to 4 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in handling programming languages projects such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Experience with industry standards within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is a must
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

What do we do?

Join the ride at SWAT Mobility - If you're up for a challenge with one of the most exciting startups in the field of Smart Mobility, Transit and Logistics Technology!

SWAT is a high-tech mobility company that focuses on dynamic, on-demand, ride-sharing technology. With our world-class routing platform, we have deployed our solutions for governments in Singapore, Japan and Australia. Having deployed in 8 countries, we also look at solving multiple mobility challenges including optimizing employee transport for large corporations, reimagining public transport, creating data driven intelligent transport planning and introducing high tech logistics solutions to bring higher convenience, better visibility and reduced cost to our customers.

We are on a mission to empower the world to move more with less.

SWAT is looking for a Business & Data Analyst to join the Analytics Team. The ideal candidate is someone who is able to think critically, is a self-starter, and comfortable with open ended problem solving. We value effective communicators with a positive work attitude that are motivated by the desire to learn, achieve and contribute.

Responsibilities

• Partner with sales and operations teams in developing pre-sales solutions, analyzing client data and validating solutions with our in-house simulation engine.
• Support analytics services delivering large-scale analytics consulting projects.
• Design and implement operational dashboards and queries for internal/external stakeholders to assist in pattern, trend and business insights identification.
• Write scripts to automate reports workflows and processing of large datasets.

Desired Skills

• Advanced Python knowledge
• Basic to intermediate SQL knowledge
• Ability to work with large amounts of data to discover patterns and trends and form conclusions based on findings. Must be extremely detail oriented.
• Ability to create beautiful, structured presentation decks
• Excellent analytical, communication and problem-solving skills
• Exposure to one or more dashboarding platforms (Tableau/PowerBI/Metabase)
• Knowledge of Geographical Information Systems (GIS) tools would be a bonus
• Experience in the transportation sector would be a bonus

Qualifications

• Minimum of 3 years experience in a Data Analytics role.
• Bachelor’s Degree or higher from a recognised university, preferably in a quantitative subject.
• If you are not from a quantitative subject you are still more than welcome to apply, so long as you are able to meet the technical skill requirements specified above.

Our client, a global leader in real estate and workplace management solutions, is seeking a skilled Data Center Operations Technician to support the daily operations of their data centers and critical facilities.

This role involves troubleshooting, coordinating vendor/contractor activities, and ensuring seamless operation and maintenance of infrastructure systems. If you are successful in this role, you will enjoy the following:
- Competitive salary and benefits package
- Opportunity to work in a renowned real estate firm globally
- Collaborative and dynamic work environment
- Professional development and growth opportunities


Key Responsibilities:
- Lead and manage contractors/vendors in daily data center operations.
- Monitor and inspect infrastructure systems, facilities, and environmental controls.
- Handle system alerts, incident management, and escalations for downtime.
- Oversee service desk operations and ensure adherence to safety practices.
- Liaise with stakeholders on utilities, building services, and system issues.
- Assist in disaster recovery planning and execution.
- Maintain and update records, permits, and asset databases as per CMMS requirements.
- Review operations periodically, report gaps, and prepare monthly updates.Key Requirements:
- Diploma in Computer Science or a related field.
- Relevant certifications such as Certified Data Centre Professional.
- At least 3 years of experience in data center operations, facilities monitoring, and management.
- Knowledge of data center facilities, including CRAC, fire suppression systems, water detection systems, and UPS.
- Familiarity with service desk operations and incident management processes.
- Basic understanding of MEP (Mechanical, Electrical, Plumbing) systems.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

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