Total 854 system analyst job vacancies in Information Technology category in Australia

Our client is a leading MultiTech social media company. They are looking for a QA test analyst who will typically run scripts given to them; as they progress, the analyst is responsible for the development of scripts.

Job Responsibilities:

• Design test plans, scenarios, scripts or procedures
• Test system modifications to prepare for implementation.
• Develop testing programs that addresses areas such as database impacts, software scenarios, or usability.
• Document software defects, using a bug tracking system, and report defects to software developers.
• Identify, analyze and document problems with program function, output, online screen or content.
• Monitor bug resolution efforts and track successes.
• Create or maintain databases of known test defects.
• Plan test schedules or strategies in accordance with project scope or delivery dates.

Job Requirements:

• Bachelor's degree or equivalent with 2-5 years experience as a QA analyst working in automation.
• Basic knowledge of QA automation
• Basic knowledge of the practical application of engineering science and technology.
• Basic knowledge of computer development software such as JavaScript, SQL, etc.
• Verbal and written communication skills, problem solving skills, customer service and interpersonal skills

If you are keen on this excitingopportunity, kindly ‘Apply Now’.

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Morgan McKinley Pte Ltd

Ramitha Ravindran

EA Licence No: 11C5502

EA Registration No. R1765539

Optimum Solutions (Registration Number: 199700895N)

• Role: Murex Technical Analyst
• Minimum 10 years of relevant experience, preferably in a financial institution -Must
• Must have 7+ years working experience in Murex technical working experience
• You must have hands-on experience with Murex 3.1 MLC (Murex Limit Controller) module across various asset classes (at least 4+ years )
• Write and maintain Murex technical code for technical instructions and specifications for murex applications
• You will be involved in requirement analysis, technical specification, and test case preparation for Murex and its upstream/downstream interfaces
• You are expected to support SIT/UAT phases, ensure proper documentation, and assist in transitioning solutions to production teams
• Should have 5+ years have SQL, Credit Risk, Limits with Murex applications
• You will work closely with developers and architects to ensure solutions meet business, regulatory, and system integration standards
• You will support downstream data flows from Murex to data warehouses and regulatory reporting systems, ensuring accuracy, completeness, and timely delivery of financial data
• Bachelor’s degree in computer science, Information Systems, Finance, or a related field

Key Domain/ Technical Skills: (Indicate up to 3 areas)

• Murex Modules: Trade booking, Murex MLC, LRB, LTS, Workflows, Collateral, Datamart
• Technical Tools: SQL (data analysis), Excel
• Domain Expertise: Credit Risk, PFE, Limits, Collateral

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

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Customer Support Engineer

• Location: Ubi
• Mon to Fri 8.30am – 5.30pm + OT (sometime only)
• Salary: $3000 negotiable

Requirements

• Entry level from ITE - Electrical & Electronic engineering / Mechanical engineering / Electrical engineering / Electronics engineering / Electronics-mechanical engineering can apply
• Preferably 1 to 2 years in Electronic/Mechanical/Engineering related job
• Willing to travel overseas on short notice for service job assignments.

Job scope

• Provide on-site technical service, including installation, maintenance, and troubleshooting of semiconductor equipment at customer’s sites.

Interested applicants kindly submit your resume through here or Whatsapp +65 9019 3218 (Joevy), and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

Tan Yu Jing Reg No: R26161199

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

Key Responsibilities:

• Develop and review validation plans, protocols (IQ, OQ, PQ), and reports for computerized systems.
• Perform risk assessments and impact analysis related to system validation.
• Ensure compliance with regulatory guidelines such as FDA 21 CFR Part 11, EU Annex 11, and GAMP 5.
• Collaborate with IT, Quality Assurance, and Manufacturing teams to support system qualification and validation activities.
• Manage change control and deviation investigations related to validated systems.
• Support audits and inspections by regulatory authorities.
• Maintain validation documentation and ensure traceability throughout the system lifecycle.

Qualifications:

• Bachelor’s degree in Pharmacy, Life Sciences, Engineering, Computer Science, or related field.
• 5-8 years of experience in CSV within pharmaceutical manufacturing or related regulated industries.
• Strong knowledge of GxP regulations, 21 CFR Part 11, Annex 11, and GAMP 5 guidelines.
• Experience with validation of PLC SCADA, MES, or other pharma manufacturing Automation systems.
• Excellent documentation and communication skills.
• Ability to work independently and in cross-functional teams.

Key Responsibilities:

• Review, validate, and manage distribution reports (e.g., production tracking, compensation reports) to ensure accuracy, timeliness, and compliance with business rules
• Analyze business data to identify patterns, trends, and insights that support decision-making and strategy execution
• Partner with stakeholders to understand business requirements, propose solutions, and support the development of new processing models
• Provide analytical insights into business processes and contribute to continuous improvement initiatives
• Lead or support system-related projects such as new implementations, system migrations, database changes, or reporting structure enhancements
• Troubleshoot issues, provide interim solutions to maintain business continuity, and recommend process improvements for efficiency and scalability

Requirements:

• Strong analytical and problem-solving skills with experience in business data analysis and reporting
• Experience in various data analytics tools eg Alteryx, Anaplan, Python, Power BI, SQL, etc

Interested applicants please send your resume in MS Word format and attention it to Rachel Yeo (R22104385).

Shortlisted candidates will be notified

Data provided is for recruitment purposes only

www.ambition.com.sg

EA Registration Number: R22104385

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

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

Position title : Data & Marketing Officer / Executive

• Location: Kallang
• Working Day: 5 Days (Mon - Fri) Overtime is required.
• Working Hour: 8.15am - 5.30pm
• Salary : $3000 - $3500 (Experienced candidate up to $4,500)

Responsibilities: 

• Opportunity: A chance to make measurable impact with your data analysis skills by turning data into actions that increase company performance.
• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.
• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.
• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Requirements:

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.
• Knowledge of Power Automate is a plus.
• 3-6 years professional marketing experience (B2B preferred).
• Proven, data-driven marketing, campaign executive, and lead-generation experience.
• Minimum Bachelor’s degree.

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.
No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw
The Supreme HR Advisory Pte Ltd
EA No: 14C7279
Reg No: R2412474

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group
We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.

Enterprise and Data Technology
Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision-making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence.

What impact can you make in this role?
You will strive to build a high-performance enterprise data infrastructure, and create a results-driven approach with data products.

What will you do as a Data Business Analyst?

• Conduct requirement sessions with business users, analyze and design solutions holistically across the DSG’s offerings
• Work closely with various stakeholders such as business end-users, data vendors and data engineers to implement and support data solutions using best-of-breed technology and methodology while adhering to our data governance standards and data architecture principles
• Design testing strategies and execute end-to-end user acceptance testing of system and data changes in data solutions
• Manage end to end data management operational activities of data products, including monitoring data delivery, resolving operational incidents and providing advisory to users
• Establish a robust and scalable data operation process that encapsulate the entire data lifecycle from data registration to decommission
• Design and implement quality metrics and monitor quality of market data to ensure integrity and quality of data meets user expectations
• Set up, improve, and streamline data operations processes through analysing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) and incorporating best practices for continuous improvements and operational excellence
• Manage and maintain strong relationship with data providers (internal and external) and vendor to ensure continuous support and knowledge for existing and future data needs
• Coach and guide junior team members

What qualifications or skills should you possess in this role?  

• Possess a degree from recognized tertiary institution with at least 5 years of relevant experience in data management, finance or asset management industry, where at least 3 years are with hands-on experience in data management or data analytics or business analysis
• Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban
• Competent in managing data warehouse, designing data models, and use of data management tools such as Oracle, Snowflake, Informatica, Denodo and data visualisation tools such as Tableau
• Knowledge of using formulas/macros in Excel or coding in Python is advantageous
• Good understanding of the principles, key controls and processes relating to data management
• Detail oriented, with strong analytical skills and enjoy complex problem solving
• Strong interpersonal and communication skills to interact with diverse stakeholders to design and develop solutions
• Self-driven, pro-active and great sense of purpose to review existing data usage with a keen eye and implement innovative solutions for greater efficiency and quality of data processing

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.     

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer 
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/

To be considered for the role, please submit a formal application through the GIC Careers site at: https://careers.gic.com.sg/job-invite/16162/

Responsibilities:

Working with the development team, you will be responsible for the design, development, documentation, testing and delivery of the software solution for an Automatic Fare Collection (AFC) system or a high volume and performance intensive back office of an AFC system.
The activities required to be performed shall include the following:
• Requirements gathering;
• Design, development, and maintenance of the software;
• Preparation and submission of deliverables throughout the software development lifecycles such as Business Rules, Software Requirement Specifications, Software Architecture Document, Design Specification, Interface Specifications, Source Codes, Testing Specification, Operation and Maintenance Manual, Training Manual and others documents as required in the standard adopted by the Authority;
• Assist the Authority with day-to-day application support issues; and
• Liaise with users on the requirement, design and testing issues.

Qualifications & Requirements:

•Recognised degree in Computer Science, IT or engineering with at least 5 years’ relevant experience in software development;
•Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Extensive experience in analysing requirements, designing, development and delivering complex enterprise applications in Java/JEE, web programming on UNIX / LINUX and Windows environment;
•Proficiency with database programming such as SQL and DAO, and relevant experience with MySQL, PostgreSQL
• Experience in Spring Framework and Spring Boot;
•Experience in Software Modernization, Containerization, Microservices;
•Experience in Agile development methodology and continuous integration;
•Experience in writing Requirements Specification, Use Cases, Design Documentation, object-oriented software design and UML modelling;
•Proficiency in AWS ECS and Docker containerization, with a solid understanding of DevOps principles and best practices

•Added advantage if candidate is familiar with one or more of the following technologies:
i.Experience in Message Queues and/or Solace;
ii.Experience in Cloud Computing, Kubernetes & Dockers, AWS Services like Amazon ECS Fargate, AWS RDS & Lambda;
iii. Experience in Automatic Fare Collection (AFC) system;
iv.Experience in EMV and Payment Card Industry Data Security Standard (PCI DSS);
v.Experience in Microsoft Active Directory
vi.Experience in HTML / CSS / JavaScript / JSON
vii.Experience in Secure Communications (SFTP, HTTPS, etc.)
viii.Experience in Angular or equivalent
ix.Experience in Java Unit Tests frameworks

• Analyze business and regulatory requirements and translate them into scalable solution designs.
• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

• Analyze business and regulatory requirements and translate them into scalable solution designs.
• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

• Strong hands‑on experience with the ETL(Informatica Power Center) and Teradata based ETL development, similarly Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
• Create EDW ETL/ELT codes using Teradata SQL, Informatica, apache Spark, QueryGrid, Trino to perform various transformation and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable
• Install and build Master Data Management(MDM) application for various user uploads along with data validations and approval workflow

• Strong hands‑on experience with the ETL(Informatica Power Center) and Teradata based ETL development, similarly Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
• Create EDW ETL/ELT codes using Teradata SQL, Informatica, apache Spark, QueryGrid, Trino to perform various transformation and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable
• Install and build Master Data Management(MDM) application for various user uploads along with data validations and approval workflow