Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organization, and we are seeking new teammates to join us on our exciting journey.

We are seeking a skilled and motivated Business Data Analyst to join our dynamic team. As a key member of our data analytics department, you will play a crucial role in extracting insights from large volumes of data, driving data-driven decision-making, and contributing to strategic initiatives across multiple countries (MY/AU/PH/SG). The successful candidate will be responsible for data visualization, resolving data quality issues, implementing data automation solutions, automating report generation, and incorporating artificial intelligence into workflows and staying up to date with the current technologies . Your expertise will be pivotal in automation processes, generating actionable insights, and effectively communicating findings through presentations. 

Responsibilities:

Automation: 

• Implement and maintain automated data pipelines and processes to streamline data collection, transformation, integration, and report generation. 
• Enhance efficiency and reduce manual effort by developing and overseeing automated workflows. 

Data Manipulation: 

• Manipulate and analyze large datasets to uncover trends, patterns, and insights that drive business growth and inform strategic decisions. 
• Utilize advanced data manipulation techniques to prepare data for analysis. 

Data Visualization: 

• Develop and maintain effective dashboards, reports, and interactive data visualizations. 
• Convey complex information to stakeholders and monitor key performance metrics through visual storytelling. 

Data Quality: 

• Identify and address data quality issues by collaborating with cross-functional teams. 
• Ensure the accuracy, consistency, and integrity of data sources to maintain high data standards. 

Machine Learning and Forecasting: 

• Collaborate with the team to explore machine learning opportunities. 
• Leverage data to build predictive models and enhance business processes. 
• Utilize historical data and statistical methods to create accurate forecasts and predictive models for various business metrics. 

• Provide actionable insights to support business planning and decision-making. 

Insight Generation: 

• Analyze data to identify trends, opportunities, and areas for improvement. 
• Generate actionable insights that drive strategic decision-making and support business objectives. 

Effective Storytelling: 

• Translate complex data findings into clear, concise, and compelling narratives. 
• Use PowerPoint and other presentation tools to communicate insights to both technical and non-technical audiences. 

Market Research: 

• Conduct thorough market research through webscraping to analyze market penetration and identify opportunities for expansion and growth. 
• Provide recommendations based on market analysis to support business development strategies. 

• Bachelor’s degree in Data Science, Business Analytics or a related field. 
• Proven experience in Data Analysis, Data Visualization, and Data Automation. 
• Proficiency in Data Analysis tools and languages such as SQL, Python, and visualization tools like Tableau. 
• Strong understanding of statistical methods and predictive modeling techniques and Artificial intelligence implementations. 

Personal Attributes: 

• Strong analytical mindset with a passion for data-driven decision-making. 
• Excellent problem-solving skills and attention to detail. 
• Excellent communication and presentation skills. 
• Ability to work collaboratively in a team environment. 

• Self-motivated with a proactive approach to identifying opportunities and solving problems. 

Responsibilities:

• Experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform
• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex issues ranging from system resource to application stack traces.
• Strong SQL, data modelling and data analysis skills are a must.
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.
• Understanding/Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.
• Passion for automation, standardization, and best practices
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

Unison Consulting Pte Ltd is seeking a skilled Data Migration Developer who will be responsible for all activities related to detailed design, development, and unit testing of data migration jobs during the implementation project. As a Data Migration Developer, you will utilize Azure Data Factory (ADF) and SQL to design, develop, and implement data migration solutions.

Responsibilities:

• Collaborate with project managers, data architects, and other stakeholders to understand data migration requirements and objectives.
• Create and maintain ETL pipelines to extract, transform, and load data from various sources to target systems.
• Develop SQL scripts, stored procedures, and queries to support data migration and integration tasks.
• Ensure data integrity, accuracy, and consistency throughout the migration process.
• Perform data mapping, data profiling, and data validation to identify and resolve data quality issues.
• Monitor and optimize data migration processes to improve performance and efficiency.
• Document data migration processes, workflows, and technical specifications.
• Provide support and troubleshooting for data migration issues and incidents.
• Stay updated with the latest trends and best practices in data migration, ADF, and SQL technologies.

• Proven experience in data migration projects, specifically using Azure Data Factory (ADF) and SQL.
• Strong proficiency in SQL, including writing complex queries, stored procedures, and functions.
• Experience with ETL tools and data integration techniques.
• Knowledge of data modeling, data mapping, and data profiling.
• Familiarity with cloud platforms, particularly Microsoft Azure.

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

Data Migration Developer is responsible for all activities related to detailed design, development, and unit testing of data migration jobs during the implementation project. DM developer will use ADF & PL/SQL for data migration & reconciliation activities.

Design, develop, and implement data migration solutions using Azure Data Factory (ADF) and SQL.

Collaborate with project managers, data architects, and other stakeholders to understand data migration requirements and objectives.

Create and maintain ETL pipelines to extract, transform, and load data from various sources to target systems.

Develop SQL scripts, stored procedures, and queries to support data migration and integration tasks.

Ensure data integrity, accuracy, and consistency throughout the migration process.

Perform data mapping, data profiling, and data validation to identify and resolve data quality issues.

Monitor and optimize data migration processes to improve performance and efficiency.

Document data migration processes, workflows, and technical specifications.

Provide support and troubleshooting for data migration issues and incidents.

Stay updated with the latest trends and best practices in data migration, ADF, and SQL technologies.

• Proven experience in data migration projects, specifically using Azure Data Factory (ADF) and SQL.
• Strong proficiency in SQL, including writing complex queries, stored procedures, and functions.
• Experience with ETL tools and data integration techniques.
• Knowledge of data modeling, data mapping, and data profiling.
• Familiarity with cloud platforms, particularly Microsoft Azure.

About the job
We are looking for a proactive enthusiast who drives our data infrastructure and shares our overall vision of “creating a better everyday life for the many people”. As a Data Engineer, you take on regional responsibilities, striving to deliver high quality data products focusing on the following key responsibilities.
 

Your assignment

• Building and maintaining required infrastructure for optimal extraction, transformation, loading and serving of data from various data sources.
• Monitor production pipelines to ensure data availability and data accuracy targets are met.
• Collaborate with the Data Infrastructure Manager to ensure our data architecture/infrastructure is scalable, fits the needs of our users, while improving load time and cost efficiency on a regular basis.
• Work with stakeholders including data/analytics, design/development, product and executive teams and support and assist them with their data infrastructure needs and data related technical issues.
• Document our data infrastructure, orchestration principles, coding standards and CICD pipeline(s).
• Support CICD pipeline(s), as well as data solution code repository and code migration processes.
• Collaborate and coordinate within our data and digital teams, business stakeholders, partners, and external vendors developing excellent data solutions and building long-term beneficial relationships.
• Be a part of a dynamic data team. Together we are putting data into co-workers’ hands and establish a data informed decision mindset.

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)

This role is required to visit vendors/retailers/outlets as per instructions already provided and to count stocks on shelves and within outlets’ warehouse, as well as obtain accurate purchases of all the brands included in the covered product categories.

Collect periodic market research information in the retail channel (neighborhood stores, minimarket, supermarkets, pharmacies, etc.) through an electronic device that allows accurate and truthful information to be obtained, complying with the policies and standards of quality required.

• Visit points of sales and retail outlets as set on his/her given schedule within defined timelines
• Collect data/information in compliance with Global and/ or Regional SOP standards
• Work towards the timely delivery of data as required and per set deadlines
• Communicate timely changes of visit plan to QCT Executive or COE
• Inform QCT Executive of any potential cooperation issues (ownership change, renovation, refusal of cooperation etc.)
• Always works with integrity and accuracy on data delivery and ensuring compliance with confidentiality standards (Panel Security)
• Work towards continuously building and improving the relationship with the shopkeeper
• Maintain proper administrative records as required
• Collect data/information as per instructing in our Monthly Auditor's trip instruction (e.q. adhoc project, initiative moving from cash dealer fee to non-cash dealer fee, etc.)

We are looking for a skilled Data Engineer with a strong background in Python, PySpark, Spark, and SQL. The ideal candidate will have experience in building and optimizing data pipelines and architectures. This role requires a collaborative professional who can work across teams to design and implement robust data solutions.

Key Responsibilities:

• Design, build, and maintain efficient, scalable, and reliable data pipelines using Python, PySpark, Spark, and SQL.
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate data solutions.
• Develop and optimize ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
• Implement data processing workflows for batch and real-time data integration.
• Monitor and troubleshoot data pipelines, ensuring data accuracy and availability.
• Perform data exploration and analysis to support business decisions.
• Document data processes, architectures, and workflows.

Proven 4+Years of experience as a Data Engineer or in a similar role.

Strong proficiency in Python and PySpark for data manipulation and transformation.

Hands-on experience with Apache Spark for large-scale data processing.

Advanced SQL skills for data querying, transformation, and performance tuning.

Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.

Experience with data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).

Knowledge of best practices for data architecture and data governance.

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Primary Objectives;

Custodian and system expert who can advise, analyze, plan, implement, maintain, support (and retire/refresh where required) all locally hosted (On premise, Cloud) data related platforms inclusive of data lakes, data warehouses, data marts, ETL, reporting, dash boarding and analytics:

Common to all Senior Analyst

• Maintain and ensure data platforms running in production are kept running and supported in a healthy state;
• Analyze and recommend new application and platform acquisitions to meet evolving Singapore Operation’s needs based on capturing and documenting business requirements elicited from business stakeholders
• Where the data platforms are in-house developed do the required coding and development, otherwise engage with 3rd party vendor to get enhancements developed and then deploy into test and prod when ready
• Ensure IT is operated in a manner that complies with Bank Policies and frameworks, standards, circulars, guidelines and MAS regulated act, notices, circulars, and guidelines applicable to technology (Compliance, Audit, Risk Adherence). – Application and Platforms
• Ensure IT assets are protected and secure – Applications and Platforms
• Assist in annual budgeting – Applications and Platforms
• Be a key stakeholder and technology partner on the bank Digital journey.
• Foster and champion bank PRIDE values within the technology department and imbue the department with a culture of teamwork, innovation, discipline, resiliency and dedication to how work is approached.
• Where vendor based solution approach adopted and/or outsourced approach, arrange due diligence and assessment from technology perspective on behalf of users.
• Provide day-to-day support to business users on any data platform related system issues or constraints
• Ensure assigned application deployments running on bank managed environments are properly QA and meet conditions. 
• Co-ordinate the setup and manage test environments to ensure business can do their enhancements and new projects testing.

Specific to Enterprise data platform and datamarts

• Enterprise Data Platform and Datamarts: Next Generation Cloud Data lake platform, theme specific cloud data marts, on premise legacy data warehouse system, on premise staging database, custom developed ETL

Key Responsibilities;

Strategy, Planning, Mgmt. Reporting

• Provide expert advice and support to technology management in the area of expertise

• Contribute in the formulation a comprehensive Branch IT strategy covering IT policies and procedures, security, architecture, business solutions and operational functional requirements
• Keep abreast of developments and innovations in the FI IT landscape
• Provide mentorship, support and guidance to colleagues, share information and facilitate problem solving

• Contribute in the yearly budgeting for IT expenditures and investments.

IT Operations

• Ensure data platforms running in production are healthy and functioning per expected.

• Ensure prompt and efficient provision of IT support based on assigned area of expertise (includes request from Data center operations team)

• Oversee contingency plans and ensure their adequacy

• Ensure IT assets are protected and secure

• Maintain and ensure timely renewal of digital certificates and proper lodgment with IT security team.

• Ensure IT operations run in a manner consistent with high score from audit, risk, compliance assessments. The following to be operationalized as standard procedure against all IT asset components:

1. Administrative Accounts – All admin accounts lodged into PAM solution per group IT Security guidelines and MAS notice 655 point 4.1
2. Patching – Patch notification process established with vendors and patch calendar updated, upon patch release assessment and implementation as needed Per patching guidelines and MAS notice 655 point 4.2
3. Hardening - Per component definition and enforcement against SG security standard and Group IT Security guidelines and SG addendum/s and MAS notice 655 point 4.3
4. Network Perimeter Defense – Network traffic and segments, firewalls, proxies, dns, vpn access setup in secure manner per group IT security guidelines and MAS notice 655 4.4

• Malware – IT Security consulted and all required IT security protections installed on IT assets per MAS notice 655 point 4.5
• Multi-factor Authentication – MFA, where applicable implement MFA of administrative and internet accounts with access to customer information using PAM per MAS notice 655 point 4.6
• Logging and Monitoring – Security, Capacity, Downtime, Audit
• Capacity Mgmt. – Pre-emptive monitoring (via monitoring), planning and execution of capacity upgrades as needed
• EOL/EOS Upgrades – Per group guidelines. Track and execute upgrades and/or do risk assessment and deviation approval.
• Housekeeping – scripted clean-ups and truncations of logs and temp files after necessary archives executed
• Backups – Required backup strategy per backup guidelines operationalized to central Backup Platform. Recurring scheduled backup validation activities scheduled and performed ongoing to ensure backups working per need.

• Work with system stakeholders to ensure proper classification of system criticality and ensure design and architecture can meet the assessed criticality needs:
  • MAS 644 defined Critical system – Ensure DR setup and working and can achieve RTO within 4 hours, RPO within 2 hours and maximum unplanned downtime of not more than 4 hours per rolling 12 months;
  • MAS 644 defined non-critical system – Ensure HA/DR per stakeholder requirement.
• BCM related activity planning and execution
• Review and Approve/Reject production change requests as part of TCAB committee
• Raise CAB CR as necessary
• Cutover related planning and execution
• Ensure and maintain adequate test environments in good working order to support enhancements and new projects;
• Adhere to SDLC for both in-house and 3rd party solution platforms.
• Take BAU day 2 operational ownership in terms of maintenance, support and minor enhancement ownership of new systems and/or major enhancements delivered by the Digital Delivery and DevOps team
• Track IT related spend against budget.
• Write Memos to authorize procurements
• Write Memos to get deviation approvals where required.

Application and Systems Development / New Platform Acquisition

• Lead in the requirements gathering and documentation, design and where in-house the coding, test support and implementation of new systems or enhancements of existing systems:
  • Analyze, design, document and develop technical solutions according to business requirements (or in case of off the shelf, co-ordinate with 3rd party vendor)
  • Provide accurate, complete and up to date system documentation
  • Provide training to users to ensure correct usage and proper adoption upon rollout
  • Oversee the QA of software implementation
  • Oversee the deployment and implementation of applications to run on Cloud for existing systems based on end-user needs and business rationale.
  • Assist team lead to write and table committee papers as required to get new systems and/or platforms, or major refreshes approved.
  • Write Memos to authorize procurements
  • Write Memos to get deviation approvals where required
  • Work together with Digital Delivery and DevOps team to support digital and cloud initiatives in terms of initial advisory and then follow-on necessary analysis and co- ordination/implementation related to integration requirements and enhancement required to existing data platforms to enable the digital initiative.
  • Work with Digital Delivery and DevOps team to support migration of workloads running on- premises to Cloud.

Regulatory and Procedural Expertise

• Keep up to date and refreshed on required reading related to guiding how IT must be run in a regulated Financial institution. Minimum read list:
  • MAS Technology Risk Management Guidelines (TRMG)
  • MAS Notice 644 – Technology Risk Management.
  • MAS Notice 655 – Cyber Hygiene
  • MAS Outsourcing Guidelines
  • RHB Group IT Security Guidelines and SG addendum/s
  • SG Patching Guidelines
  • SG Backup Guidelines
  • SG Technology Department Operational Manual (OM)
  • SG IT Standard Operational Procedures (SOP), and System Manuals (SM)
  • SG Procurement Operational Manual (OM)

Other Responsibilities

• Participate in Monthly Technology Department meetings.
• Participate in regular Team meeting.
• Use Department issue and work tracking platform.
• Maintain and keep up to date team knowledge base and assist in updating team document assets such as system manual / standard operating procedures (SOP), and operations manuals

• Salary: Up to $2800 + Fixed Allowances $1100 
• Location: Jurong Island (Company Transport Provided at Designated Point)
• Benefits: Permanent Role with AWS and Variable Bonus, 
• Shift Work: 12 Hours Shift

The Role:

As a valued member of our Manufacturing Section, you will work with cutting-edge technology and advanced engineering controls. Reporting to the Production Supervisor, you'll play a vital role in achieving manufacturing targets while upholding workplace safety, health, and environmental standards.

Key Responsibilities: 

• Support plant commissioning, start-up, shut down, and production activities to ensure safe and efficient operations.
• Execute production operations, conduct quality checks, and perform minor plant maintenance to meet production schedules and quality standards.
• Conduct field inspections, collect samples, and record data to enhance plant reliability, product quality, and production efficiency.
• Actively participate in the Emergency Response Team, including training and executing emergency countermeasures.
• Adhere to Health, Safety & Environment policies and procedures, contributing to a culture of workplace safety, health, and environmental protection.

Requirements:

• GCE 'O' level or NITEC (NTC 2) or Diploma in Chemical Process, Mechanical Fitting, Electrical Fitting & Installation, or Electronics.
• Willing to work for 12 hours shifts.
• Strong team player with initiative, drive, and commitment. Ability to thrive under pressure and communicate effectively with colleagues.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Are you eager to kick-start your career in a dynamic and innovative environment? We are looking for an enthusiastic Laboratory Analyst to join our client’s Quality Assurance (QA) Section. This entry-level position is perfect for individuals with a degree or diploma in chemistry or chemical process technology who are ready to make a significant impact in a leading MNC chemical company.

Why Join Our Client?

• Rewards: Enjoy AWS (Annual Wage Supplement) and Variable Bonus in addition to your salary.
• Location: Jurong Island, with convenient company transport pick-up at designated points.
• Work Schedule: Monday to Friday, 8.30 am to 5 pm, with overtime on alternate Saturdays.

Responsibilities:

• Product Testing and Analysis: Perform testing and analysis of semi-finished and finished polyolefin products using sophisticated analytical, processing, and testing equipment.
• Procedure Maintenance: Establish, update, and maintain procedures and quality/safety records to ensure compliance with regulatory standards.
• Equipment Upkeep: Oversee the maintenance of laboratory equipment, perform basic troubleshooting, and work with vendors to diagnose and resolve issues.
• Inventory Management: Monitor stock levels of laboratory supplies and maintain accurate inventory records to ensure smooth operations.
• Collaboration: Work with sales and production teams to assist in troubleshooting and technical investigations.
• Safety and ISO Activities: Participate in laboratory ISO and safety activities, contributing to a safe work environment and compliance with safety and environmental regulations.

Requirements:

• Educational Background: Possess a Degree in Chemistry or a Diploma in Chemical Process Technology 
• Experience: Diploma holder with previous experience in chemical industry is advantageous.
• Skills: A team player with excellent interpersonal skills, initiative, drive, and strong communication abilities (both written and verbal). Capable of working under pressure and maintaining accuracy under tight schedules.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,000 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data analysts to join us in our cause of helping customer Stay Modern, ahead of the technology curve!

Roles and Responsibilities

• Using automated tools to extract data from primary and secondary sources
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required

A successful data analyst needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management, Engineering, Sciences or Economics can serve as a solid foundation to build your career as a data analyst.

• 1 - 2 years of data analytics and modelling experience
• Strong proficiency in Python and SQL scripting skills
• Prior experience with at least 1 BI tool such as Tableau, PowerBI, QlikSense and/or similar software is essential
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

What is a Data Engineer?

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

Roles and Responsibilities:

• Work closely with the project team to develop and validate ETL workflow and packages in Informatica / Talend
• Drive the maintenance of data engineering pipelines
• Implement data engineering pipelines as per business needs and technical specifications provided by stakeholders and work closely with the data engineering team to ETL the required data from source systems into datastore
• Develop ETL jobs i.e. workflow packages, auto schedulers, in Informatica PowerCenter as per specifications and requirements
• Monitor and ensure ETL jobs are successfully executed and handle troubleshooting of any related technical problems on-site

Skills Required:

A successful data engineer needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data engineer.

• 1 to 2 years of ETL experience
• Strong proficiency in Python and SQL scripting skills
• Proven experience in Informatica PowerCenter in a similar capacity
• Prior experience with ETL operations using at least one other ETL - Informatica and/or Talend
• Knowledge of creating ETL packages and configuring workflows
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Adept at queries with good communication and stakeholder management skill

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us. We provide extensive training, bootcamps/on-the-job to prepare qualified candidates for an exciting career in Data Analytics in Government and Public Sector.

What is a Data Engineer?

The role of a data engineer can be defined as someone who has the knowledge and skills to design and build systems for collecting, storing and analyzing data at scale.

Roles and Responsibilities:

• Work closely with the project team to develop and validate the data engineering applications
• Drive the maintenance of data engineering pipelines
• Implement data engineering pipelines as per business needs and technical specifications provided by stakeholders and work closely with the data engineering team to ETL the required data from source systems into datastore
• Develop ETL jobs i.e. workflow packages, auto schedulers, in Informatica PowerCenter as per specifications and requirements
• Monitor and ensure ETL jobs are successfully executed and handle troubleshooting of any related technical problems on-site

Skills Required:

A successful data engineer needs to have a combination of technical as well leadership skills. A background in Mathematics, Statistics, Computer Science, Information Management can serve as a solid foundation to build your career as a data engineer.

• 1 to 2 years of ETL experience
• Strong proficiency in Python and SQL scripting skills
• Proven experience in Informatica PowerCenter in a similar capacity
• Prior experience with ETL operations using at least one other ETL software such as SSIS, Informatica and/or Talend is a major advantage
• Knowledge of creating ETL packages and configuring workflows
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Adept at queries with good communication and stakeholder management skill

• Location: Jurong Island
• Working hour: 8.30 am – 5 pm

You will join the Quality Assurance (QA) Section which is equipped with advanced and comprehensive laboratory facilities. You will assist the chemist to contribute to the laboratory's commitment to meet relevant safety, environmental and quality management standards and support production process to meet organizational objectives.

Your Responsibilities

• To work with a team of analysts and technicians to perform testing and analysis of semi-finished and finished polyolefin product (Polyethylene and Polypropylene) via a variety of sophisticated analytical, processing and testing equipment.
• To establish, update and maintain procedures and other quality and safety records to ensure they are accurate and up-to-date, and in compliance with regulatory standards.
• To oversee proper upkeep of the laboratory equipment to ensure they are always in good working condition. To carry out basic troubleshooting in case of equipment trouble, or to work closely with the vendor’s technical representative to diagnose problems, troubleshoot issue and to implement solutions in a timely manner.
• To conduct regular monitoring of stock level of laboratory inventory supply, and upkeeping of inventory records to ensure smooth day to day operation.
• To collaborate with other Sales and Production members to assist in troubleshooting and technical investigation.
• To participate in laboratory ISO and safety activities that will contribute to a safe work environment and to comply to safety and environmental regulations.

Your Competencies

• Degree in Chemistry or Chemical related; candidates with no experience are welcome
• Diploma in Chemical Process Technology (major in Polymer Science or Material Science is a plus) with 1-3 years experience
• Experience in polymer material processing and testing will be an added advantage
• Comfortable with working OT alternate Saturday

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

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 have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

• Universe Risk Management: On Blockchain exchanges, conduct risk and abnormal analysis on the CoinMarketCap main station
• User Behavior and Pattern Analysis: Leverage our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognition
• Digital Data Asset: Obtain Blockchain-based data to perform chain-based data analysis, prediction and recommendations

As a Senior Consultant in Data Science & Analytics, Financial Services (FS) focus you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our clients’ leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership.
• Identify, acquire, process, and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools, and processes.
• Evangelize data science in the region by contributing to training & upskilling.
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership.

• Permanent position with various allowances
• 12 hours shift work
• MNC Chemical Manufacturing Company at Jurong Island with transport pickup 

Job Responsibilities

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.

• Possess Degree in Chemical Engineering or its equivalent, experience in petroleum, chemical or polymer industries added advantage.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Your Role

We are looking for a highly motivated Data Analyst Intern to join our JAPAC Go-To-Market Shared Services team. As an intern, you will play a key role in a data analysis initiative focused on partner engagement in the JAPAC region. Your work will help us identify trends and correlations to better drive business outcomes. At the end of the internship, you will also gain a good understanding of Palo Alto Networks business and our value proposition.

Your Impact

• Work with key business stakeholders and regional teams (sales operations, data analysts, strategy and planning) to deliver insights, reports, visualization and analysis to solve important business problems and optimize growth opportunities
• Champion a data analysis project around partners engagement in JAPAC. Leverage methodology such as Recency/Frequency/Monetary to identify potential partners across the region.
• Work with complex data sets from across the value chain such as sales, technology and location to conduct multivariate analytics
• Passionate about working with big data to define, implement and monitor business KPIs, as well as to provide data driven insights to the business
• Perform deep analytical dives into transactional database and identify sub-sets of trends and correlations to better drive business outcomes
• Conduct ad-hoc analyses to support cross functional projects

Star Alliance is the world’s largest airline alliance.

The vision of Star Alliance is “to be the leading global alliance for the high value international traveller and the mission of the organisation is “to contribute to the long-term profitability of its members beyond their individual capabilities.” The Star Alliance office in Singapore, coordinates the global activities of the alliance including managing joint projects on behalf of its 26 member airlines.

Based in Singapore, the Manager Business Intelligence & Data Analytics position reports directly to the Head of Corporate Planning & Business Intelligence, in the Corporate Strategy Business Unit. In this role you will collaborate extensively with Customer Experience, Loyalty, and other Product Owners in the Alliance and in the member Airlines.

The Manager Business Intelligence & Data Analytics supports the Head of Products & Portfolio in overseeing the entire Star Alliance Business Intelligence initiatives. As a Manager of Business Intelligence & Data Analytics, you will play a crucial role in driving data-driven decision-making processes within the organization. You will lead initiatives on collecting, analyzing, and interpreting business data to provide actionable insights that contribute to corporate planning and improved operational efficiency. This role requires a combination of technical expertise, business acumen, and leadership skills.

Job Summary

• Execute the development and implementation of data analysis processes and tools.
• Ensure the timely and accurate delivery of high-quality reports and dashboards to stakeholders.
• Interpret data trends, identify patterns, and provide actionable insights.
• Establish and enforce data governance policies and procedures.
• Ensure data accuracy, integrity, and security.
• Collaborate with Digital & Technology and other BUs to maintain data quality standards.
• Stay current with industry trends and advancements in BI and data analytics tools.
• Evaluate and recommend new technologies that enhance data analysis capabilities.
• Collaborate with various departments to understand their data needs and provide support in translating business requirements into analytics solutions.

Your Profile

• A minimum of 5 years work experience in BI, data analytics, or a related role
• Bachelor’s degree in business, IT, Data Science, or a related field; (MBA is a plus).
• Excellent analytical and problem-solving abilities.
• Proficiency in data visualization tools (e.g., Tableau, Power BI, Snowflake).
• Knowledge of databases, SQL, and data warehousing concepts.
• Familiarity with statistical analysis and machine learning is a plus.
• Effective communication skills with the ability to convey complex insights to non-technical stakeholders.
• Deep understanding of the Airline and Alliances industry, market dynamics, and customer needs.
• Experience or exposure to global business environments, with an understanding of international market trends and regulatory landscapes.
• High level of proficiency in English is essential, as it is the sole language used for communication with Star Alliance Member Airlines and other external stakeholders.

This is a unique opportunity for highly skilled professionals to apply their talent, creativity and dedication to a global team focused on delivering value to frequent international travellers who travel on our member airlines.

If you believe you are the perfect candidate then give us the opportunity to get to know you and submit the send an email to [email protected]