Total 651 support analyst job vacancies in Information Technology category

• Extracting, analysing, and presenting data to support the Commercial team in meetings with key partners, including suppliers, buyers, and airlines.
• Involve in commercial negotiations, providing insights to drive business growth and optimize partner relationships.

Data Analysis & Interpretation:


• Analyze numerical data to identify trends, performance metrics, pricing insights, revenue opportunities

Commercial Support:


• Prepare and present detailed reports, dashboards, and summaries to the Commercial team ahead of and during meetings with partners to aid negotiation, partnership growth, and contract renewals.

Partner Performance Monitoring:


• Track and evaluate supplier/buyer/airline performance against KPIs, SLA adherence, and market benchmarks, highlighting areas for improvement or expansion.

Collaboration:


• Work closely with cross-functional teams including Sales, Product, Finance, and Operations to ensure accuracy, consistency, and relevance of shared data.

Ad-hoc Analysis & Insights:


• Provide quick, ad-hoc data analysis to support urgent commercial decisions or address partner inquiries

Job Requirements

• Degree holder
• Mandarin speaking to communicate with Chinese stakeholders
• Experience working in the Travel sector
• Ability to translate complex data into clear, concise insights and presentations for non-technical stakeholders.
• Basic understanding of the travel industry, commercial partnerships, and airline/supplier dynamics is a plus
• Comfortable presenting data and business insights in client-facing scenarios.
• 5 days work (Mon - Fri, 9am to 6pm) at Tanjong Pagar
• Salary $5000 - $7000

Interested applicants please send in your resume. Shortlisted candidates will be contacted very soon. Thank you.

MRI-Simmons is seeking Senior Business Analyst with analyzing complex business processes, identifying areas for improvement, and developing strategic recommendations by leveraging data insights to drive organizational goals. The ideal candidate works closely with product managers and stakeholders across various departments to understand business needs, design solutions, and ensure successful implementation of new systems or processes, typically managing more complex projects and providing guidance to developers and other analysts.

Roles and Responsibilities:

• Business Needs Assessment: Conduct in-depth analysis of business operations, identifying pain points, inefficiencies, and opportunities for improvement across different departments. 
• Requirements Gathering: Elicit, document, and prioritize detailed business requirements from stakeholders, ensuring alignment with overall business objectives.
• Data Analysis: Utilize data analysis tools to extract meaningful insights from large datasets, identifying trends and patterns to inform decision-making.
• Solution Design: Develop comprehensive solutions, including process improvements, system enhancements, or new applications, considering cost-benefit analysis and feasibility.
• Stakeholder Management: Build strong relationships with key stakeholders, effective communication of analysis findings, recommendations, and project updates.
• Project Management: Lead and oversee business analysis activities on complex projects, ensuring timely delivery and adherence to project scope.
• Change Management: Facilitate the transition to new processes or systems, providing training and support to end-users.

About the job

Role Summary

The System Analyst will support the analysis,design and implementation of workflow-driven enterprise systems of the client,including document and content management platforms (e.g., OpenText). This is atechno-functional role requiring strong workflow understanding, technical aptitude and the ability to collaborate across business and IT teams.

Key Responsibilities

Business & Functional Analysis

• Gather, analyze and document business and system requirements
• Translate requirements into functional specifications, workflows and system designs
• Perform impact analysis and support solution definition

Workflow & Process Management

• Analyze and design end-to-end workflows and approval processes (e.g., maker-checker, document lifecycle)
• Ensure workflows align with business needs, operational efficiency and compliance standards
• Ensure application solutioning aligns with defined application technical and functional design principles
• Identify opportunities for process improvements and automation

Techno-Functional Coordination

• Act as a liaison between business users and technical teams
• Work closely with developers and architects to ensure accurate implementation
• Support integration discussions and data flow analysis

Testing & Implementation

• Review test cases and scenarios and support SIT/UAT execution
• Coordinate defect resolution and ensure quality delivery
• Support deployment, release activities and post-implementation validation

Support & Maintenance

• Assist in troubleshooting system issues and support production environments
• Participate in incident and problem management activities
• Ensure proper documentation and knowledge management

Requirements

• Degree in Computer Science, Information Technology, or related discipline
• 8-10+ years of experience as a System Analyst / Business Analyst (Techno-functional)
• Strong understanding of workflow-based systems and business processes
• Good technical knowledge of system integrations, APIs and data flows
• Ability to communicate effectively with both technical and business stakeholders

Must Have

• Experience with OpenText or Enterprise Content Management (ECM) platforms
• Exposure to banking systems and regulatory environments
• Familiarity with Agile / Waterfall methodologies

Preferred Attributes

• Strong analytical and problem-solving skills
• Attention to detail and documentation quality
• Ability to work in a structured, governance-driven environment

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

As a Junior Cyber Security Analyst, you will play a crucial role in ensuring the security and integrity of our organizations digital assets.

Collaborating with a dynamic team, you will intake cybersecurity related requests from internal and external entities that require triage, remediation or escalation.

This entry level position provides an opportunity for learning and growth in the ever-evolving field of cybersecurity.

If you are passionate about safeguarding digital environments and eager to build a career in cybersecurity, we invite you to join our team.

Responsibilities:

• Answer incoming calls to assist with information security inquiries or issues.
• Document all interactions accurately for record-keeping and analysis.
• Follow established processes and guidelines to handle common issues.
• Collaborate with team members to resolve more complex problems or escalate as necessary.
• Monitor your assigned queues and work cases in an efficient and effective manner

Skills:

• Effective typing skills
• Familiarity with Cyber Security and Information Technology
• Strong problem-solving and critical thinking skills
• Effective communication and interpersonal skills

Job Duties

-Utilize SQL to extract, clean, and process large datasets from various databases, ensuring data accuracy for risk analysis and reporting.

-Support the development and iteration of credit risk models and anti-fraud rules using machine learning algorithms such as XGBoost, GBDT, and Logistic Regression.

-Analyze financial and transactional data to identify potential risk trends, abnormal fluctuations, and fraud patterns to support decision-making.

-Perform feature engineering and data exploration to identify key risk indicators that improve model predictive performance.

-Monitor the performance of risk models and automated rules in production, assisting in troubleshooting and system stability checks.

-Collaborate with cross-functional teams, including Data Engineers and Product Managers, to translate data findings into actionable risk strategies.

Requirements

-Bachelor’s Degree or higher in a quantitative field such as Statistics, Mathematics, Computer Science, or Financial Engineering.

-Solid proficiency in SQL is a must; comfortable with complex queries and data manipulation in environments like MySQL, Hive, or Oracle.

-Proficient in Python for data analysis, with experience using libraries such as Pandas, Scikit-learn, or Matplotlib.

-Basic understanding or academic exposure to predictive modeling, including credit scorecards, classification, or regression analysis.

-Strong logical thinking and numerical reasoning skills, with a keen eye for detail and data integrity. Familiarity with statistical tools or other programming languages (e.g., R, SAS) is an advantage.

-For Junior level: Open to fresh graduates or candidates with 1–2 years of relevant experience; academic or internship exposure to predictive modeling (e.g., credit scorecards or regression analysis) is preferred.

-For Mid-level: 3–5 years of professional experience in Fintech, Banking, or Risk Control with a proven track record of deploying models into production

At least 1 - 5 years’ experience in business analysis, system support,

development, implementing system and maintaining IT systems

Role and Responsibilities

Role and Responsibilities

* Improve IT Operation business process and documentations.

* Triage of issues, including logging, tracking, routing and

categorizing reported incidents and service requests.

* Support users and provide resolutions for L1 issues, including

common problem / issue in FAQ, inquiries and essential

troubleshooting tasks.

* Managing of the service desk common mailbox.

* Prepare monthly report and support User Access Matrix review.

* Communication of operation matters to stakeholders (e.g.

system downtime, new implementations

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Role Summary

The System Analyst will support the analysis, design and implementation of workflow-driven enterprise systems of the client, including document and content management platforms (e.g., OpenText). This is a techno-functional role requiring strong workflow understanding, technical aptitude and the ability to collaborate across business and IT teams.

Key Responsibilities

Business & Functional Analysis

• Gather, analyze and document business and system requirements
• Translate requirements into functional specifications, workflows and system designs
• Perform impact analysis and support solution definition

Workflow & Process Management

• Analyze and design end-to-end workflows and approval processes (e.g., maker-checker, document lifecycle)
• Ensure workflows align with business needs, operational efficiency and compliance standards
• Ensure application solutioning aligns with defined application technical and functional design principles
• Identify opportunities for process improvements and automation

Techno-Functional Coordination

• Act as a liaison between business users and technical teams
• Work closely with developers and architects to ensure accurate implementation
• Support integration discussions and data flow analysis

Testing & Implementation

• Review test cases and scenarios and support SIT/UAT execution
• Coordinate defect resolution and ensure quality delivery
• Support deployment, release activities and post-implementation validation

Support & Maintenance

• Assist in troubleshooting system issues and support production environments
• Participate in incident and problem management activities
• Ensure proper documentation and knowledge management

Requirements

• Degree in Computer Science, Information Technology, or related discipline
• 8-10+ years of experience as a System Analyst / Business Analyst (Techno-functional)
• Strong understanding of workflow-based systems and business processes
• Good technical knowledge of system integrations, APIs and data flows
• Ability to communicate effectively with both technical and business stakeholders

Good to Have

• Experience with OpenText or Enterprise Content Management (ECM) platforms
• Exposure to banking systems and regulatory environments
• Familiarity with Agile / Waterfall methodologies

Preferred Attributes

• Strong analytical and problem-solving skills
• Attention to detail and documentation quality
• Ability to work in a structured, governance-driven environment

Responsibilities:

• Perform data extraction, cleaning, generate regular and ad-hoc reports to support in-depth analysis of the branch's operating trends, profitability, and other key performance indicators.

• Collaborate with cross-functional teams and departments to gather data requirements and provide analytical support.

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.

• Automate reporting processes to improve efficiency and accuracy.

• Contribute to the development and improvement of data processes and reporting frameworks.

• Support decision-making by translating data findings into practical recommendations.

• Other related duties.

Requirements:

• A recognized University Degree, preferably in Data Science, Data Analytics, Business Analytics, Statistics or related field;

• Minimum 5 years of relevant experience in data analytics;

• Strong analytical skills and good knowledge of the banking industry;

• Strong organizational and management skills with the ability to work independently.

• Strong analytical and problem solving skill, proficient in SAS, SQL, Python, R Programming, MS Excel VBA and BI tools;

• Proficiency in Chinese would be an added advantage as incumbent is required to understand Chinese documents from Head Office.

Location: Punggol
Work Mode: Onsite

Requirements:

• Minimum bachelor’s degree or equivalent professional qualifications in Computer Science, Business Information Systems, Mathematics, Statistics, or similar quantitative discipline,
• 2-5  years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins for these systems
• Excellent command of Excel, and preferably fluent in one or more data analysis languages / technologies / tools, such as Python, SQL, SAS, R, SCALA and similar.
• Basic knowledge in banking operations is required. Having experience as a data analyst or in a related role/field in banking/finance industry is highly desirable.
• Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes.
• Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
• Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.
• Ability to work effectively in a team-fostered, multi-tasking environment, and a proactive team player who is curious about data and possesses a strong drive to create and lead initiatives.

Job Summary

The Systems Analyst is responsible for supporting, maintaining, and enhancing enterprise systems, primarily NetSuite ERP and/or Oracle(EBS/11i). This role serves as the key liaison between business users and technical teams, ensuring smooth system operations, issue resolution, and successful delivery of system-related projects, including ERP migration initiatives.

Key Responsibilities

Business Analysis & Stakeholder Engagement

• Gather, analyze, and document user requirements across Finance, Supply Chain, and Operations
• Translate business needs into functional and technical specifications
• Collaborate with stakeholders to propose system improvements and automation opportunities

System Development & Enhancement

• Design, develop, and implement enhancements in Oracle (PL/SQL, reports, interfaces) and NetSuite (SuiteScript, workflows, saved searches)
• Work with developers or independently deliver small to mid-scale solutions
• Support integrations between Oracle, NetSuite, and other internal/external systems
• System migration when required
• Work with AI, automation, dashboards, and reporting

Application Support & Troubleshooting

• Provide day-to-day support for Oracle and NetSuite users
• Investigate and resolve system issues, data discrepancies, and process gaps
• Perform root cause analysis and implement preventive solutions

Testing & Deployment

• Prepare test scripts, conduct UAT, and support deployment activities
• Ensure solutions meet business requirements and quality standards
• Manage change requests and version control

Reporting & Data Management

• Develop and maintain reports/dashboards using Oracle tools and NetSuite reporting (e.g., saved searches, SuiteAnalytics)
• Ensure data integrity and consistency across systems

Documentation & Training

• Maintain functional and technical documentation
• Conduct user training and create user guides to support adoption

Project Management (Ad Hoc Projects)

Requirements

• Bachelor’s degree in information systems, Computer Science, Business IT, or related field
• 3–5 years of experience in ERP systems support, development, or implementation

Job Title: Senior Software Developer (Enterprise Application Support & Delivery) – 12 Months Contract

Job Summary:
We are seeking a highly experienced Software Developer with a strong background in enterprise application delivery and production support within regulated environments. The role requires hands-on involvement across the full lifecycle, with a focus on maintaining and enhancing complex business-critical systems.

Key Responsibilities:

• Support and enhance enterprise-level applications in a production environment
• Participate in incident, problem, and change management processes
• Perform root cause analysis (RCA) and ensure timely resolution of issues
• Collaborate with stakeholders to gather and refine requirements
• Support UAT, deployment, and post-release validation activities
• Ensure compliance with security, audit, and operational standards

Requirements:

• Bachelor’s degree in IT / Computer Science or related field
• 10+ years of experience in software development and application support
• Proven experience in enterprise or government/regulated environments
• Hands-on experience with application support, not just development
• Familiar with Agile/Scrum delivery models
• Experience using enterprise tools (e.g., JIRA, ServiceNow, or equivalent)
• Strong experience in handling production issues and stakeholder management

PRIMARY RESPONSIBILITIES

• Provide first line support to SGS affiliates and external clients
• Fast paced handling of incidents / requests resolution, escalation and information routing.
• Deciding on incident severity/priority
• Validation and evaluation of technical and or operational information pertaining to the incident
• First contact resolution and troubleshooting via phone and remote access tools
• Managing Incidents throughout their lifecycle

REPORTING LINE

IT Service Desk Manager or Supervisor

SPECIFIC RESPONSIBILITIES

• Establishes controls to monitor the performance of the management systems.
• Validate, evaluate and classify incident / requests.
• Determine resolution and/or escalation path to ensure all issues are appropriately managed.
• Evaluate content of requests / incident report and gather information if missing any.
• Record distinct issues in the tracking tools.
• Keep track of known solutions, consult knowledge database and use findings to respond to senders/callers.
• Keep track of severity/priority 1 issues for appropriate escalation and follow-up.
• Recognize solutions for repetitive use and enter those in knowledge database.
• Complies with relevant Management Systems
• Complies with the QHSE policies including but not limited to:
  • Demonstrates strong commitment to SGS QHSE Policies, Procedures, and Work Instructions by participating in safety meetings, completing required training, intervening in unsafe situations, refusing unsafe work, and complying fully with all applicable laws and regulations related to QHSE.
  • Responds appropriately to emergency situations and assists other staff members in maintaining readiness to respond to emergencies within the workplace.
  • In accordance with the SGS QHSE Management System requirements, disposes of, or directs the disposal of, waste generated as a part of daily work performed in a safe manner and in compliance with all waste transportation and disposal regulations and requirements.
  • Reports all incidents (actual incidents and near misses) in accordance with the SGS Incident Reporting requirements.
  • Uses all equipment (including safety equipment) in the manner intended and reports any damaged / lost equipment to supervisor.
  • Maintain a safe and tidy worksite.
  • Maintains awareness of hazards and proposes controls to supervisor, QHSE Representatives or relevant client / site contact.
  • Actively participates in incident investigations and risk assessments as deemed necessary by SGS management.

• Engage users to understand strategic and operational needs, capture requirements, identify gaps and translate these into solutions.

• Provide daily applications support and perform administrator functions such as user management, security management, etc.

• Conduct regular user trainings as well as reviews and revise training materials.

• Manage business applications related projects, including user acceptance tests and data migration, and ad-hoc assignments.

• Provide ad-hoc support to other application systems like NetSuite, Salesforce, HRMS, etc, when needed.

• Ensure data handling and system configurations comply with organisational policies and applicable regulations (e.g. PDPA).

• Manage 3rd party vendors and consultants to achieve holistic outcome/ goal.

• Develop SOP, user guides, training materials and systems documentations and ensure these are up-to date.

• Provide assistance in planning, design, research and acquisition of new or upgraded business applications.

• Prepare reports/ dashboards for IT department.

• Continuous work improvement in operational efficiency through automation scripts, implementation of new technology and knowledge sharing.

• Be a role model, to lead by example in workplace and provide guidance to junior colleagues.

The above activities are no means exhaustive and are subjected to amendment whenever is needed.

Minimum Education / Qualifications

• Diploma/ Degree in Information systems or equivalent.

Minimum Years of Relevant Experience

• 2 years’ or more experiences in CMS, CRM business applications support and project implementation.

Knowledge/Skills

• Experiences in analysing, designing and implementing information systems and strong passion in business processes.

• Experiences in Client Management System processes (e.g. Referral, Admission, Case Management, Attendance Management, Incident Management, Fee Management, Graduation, etc).

• Experiences in project, incident, change and risk management.

• Knowledge of SDLC methodologies and project management frameworks (e.g. Agile, Waterfall).

• Familiarity with data privacy regulations (e.g. PDPA, GDPR) and organisational security standards.

• Knowledge of process modelling tools and techniques (e.g. UML, BPMN).

• Basic experience in software development and programming languages (e.g. Java, .Net, Apex, HTML, etc).

• Basic understanding in NetSuite/ SAP, Microsoft Dynamics, Salesforce, HRMS, Business Intelligence and workflow tool would be an advantage.

• Knowledgeable in Power Platform, Copilot, Microsoft Office and other Windows and web applications.

Attributes (functional or leadership competencies)

• Proactive in seeking assistance, input and feedbacks.

• Customer-centric.

• Team player with excellent interpersonal skills and multi-tasker.

• Excellent communication and written skills.

Company Overview

IDC Technologies provides professional services leveraging global applicant databases and advanced technology to deliver high-quality technical outsourcing solutions that maximize customer value and satisfaction.

Job Summary

You will collaborate with stakeholders to translate business needs into technical requirements, support solution design, and ensure quality delivery through testing and data analysis in a dynamic project environment.

Responsibilities

• Collaborate with stakeholders to gather and translate business needs into clear, actionable technical requirements
• Create and maintain comprehensive business requirements documents (BRDs), functional specifications, user stories, and process flows
• Facilitate meetings to align business and technical teams and gather insights
• Support technical teams in evaluating solution options to ensure alignment with business objectives
• Develop and maintain detailed API documentation to support integration and development efforts
• Create test cases, coordinate User Acceptance Testing (UAT) activities, and validate that solutions meet requirements
• Extract, analyze, and interpret data using SQL to support decision-making and validate requirements
• Assist in managing requirement changes and assess their impact on project scope, timeline, and resources
• Identify opportunities to streamline processes and improve project delivery

Preferred competencies and qualifications

• Experience working in Scrum or other Agile frameworks
• Hands-on experience with API testing tools and methodologies
• Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field
• 2–3 years of relevant experience in business analysis, technical analysis, or a related role