Total 333 Information Technology job vacancies

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

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

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.

• 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

Position: Data Analyst
Location: Singapore
Type of Employment: Full-Time
Compensation: -

Purpose of the Position: The Data Analyst will be responsible for transforming data into actionable insights to support business decision-making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data-driven strategies across the organisation.

Key Result Areas and Activities:

• Extract, clean, and transform data from multiple sources using SQL and Databricks to support analytics and reporting needs.
• Develop and maintain scalable data models and datasets for business intelligence and dashboarding.
• Build interactive dashboards and reports using Tableau and/or Power BI to visualize key metrics, trends, and insights.
• Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.
• Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.
• Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.
• Automate recurring reporting processes and improve efficiency of data workflows.
• Provide actionable insights and recommendations to support operational and strategic decision-making.
• Document data definitions, business rules, and reporting logic for governance and knowledge sharing.

Essential Skills:

• Strong proficiency in SQL for data querying, transformation, and analysis
• Experience working with Databricks or similar data platforms
• Hands-on experience with Tableau and/or Power BI for dashboard development
• Strong analytical and problem-solving skills
• Experience in data cleaning, validation, and data modelling
• Ability to work with large datasets and derive meaningful insights

Desirable Skills :

• Experience with Python (Pandas, PySpark) for data analysis
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Knowledge of ETL/ELT processes and data pipeline concepts
• Experience working in government or regulated environments
• Understanding of data governance and data quality frameworks

Qualities:

• Strong attention to detail and data accuracy
• Good communication skills to translate data insights into business terms
• Proactive and solution-oriented mindset
• Ability to manage multiple stakeholders and priorities
• Collaborative team player with strong ownership of deliverables

Role and Responsibilities

1.Provide on-going application support and be involved in various stages of the SDLC

2.Conduct user requirement gathering for new systems and/or enhancements to existing systems/solutions

3.Conduct user requirement analysis for the development / implementation of new systems and enhancements to existing systems

4.Perform documentation of requirements and new process/workflows for the developed solutions

5.Perform functional analysis of new systems and enhancements to existing systems

6.Involvement in the various testing phases prior to implementation, including but not limited to developing test plans and cases, conducting testing and verifying test results and following up on issues to resolution

7.Plan and coordinate end-user training for any system implementations or enhancements

8.Liaise closely with business users and build good rapport particularly in the area of defining IT processes, organizations and workflow relationships to complement the solution

9.Support the team in defining project requirements, tracking and documentation of project progress with respect to time, resources, budget and demonstrated results

10.Identify, facilitate and ensure cross functional resource support for projects.

11.Provide 24/7 primary application maintenance support

12.Participate and support Request for Proposal (RFP) for projects with the Manager.

II. Requirements

1.Minimum 3 years of experience in developing, implementing and maintaining IT systems

2.Successful track record in project management, user and vendor management

3.Experience in MS Windows environment & application support

4.Experience in Database management systems (SQL, Oracle)

5.Strong analytical skills and ability to work independently

6.Experience in healthcare industry is an added advantage

7.Degree in Computer Science, Computer Engineering or equivalent

Role: System Analyst

Job Requisition Number: IS-84059

Job Level: 6-9 years of relevant experience (L3)

Location: Singapore

Key Responsibilities:

1. Functional Specification

a. Responsible to analyse and define detailed functional specifications based on the functional and non-functional requirements document

b. Collaborate with Functional Business Analyst to clarify functional and non-functional requirements

c. Define and ensure traceability from functional specifications to business require

2. Technical Design

a. Responsible to create technical design

b. Ensure technical design adheres to architectural roadmap, Development practices, and security requirements

c. In case of vendor implementation: Ensure vendor resources create technical design document

d. Collaborate with developers and infrastructure teams to clarify functional specification and technical design during build, test and deployment phase

e. Collaborate with Production Support to establish IT operations procedures and document as part of Tech Design

f. Coordinate execution of threat modelling process with assistance of Security Architect to ensure implementation of safeguards is comprehensive in accordance with threats

3. Testing & Scope Management

a. Clarify test findings escalated by Test Manager and classify the findings accordingly (either as a defect or change request)

b. Provide input to impact assessment and estimation for Project Change Request

c. Work with Test Manager to review test plan and functional test scope

Key Requirements:

      Commitment and a have a team environment mindset

      Minimum 6 years of working experience in application testing, development and delivery.

      Ability to work in a fast-paced, team-oriented and project implementation environment.

      A strong & assertive communicator in speaking& writing. Analytical mindset and good problem-solving skills.

      Delivery experience on medium to large scale projects.

      Anti Money Laundering application experience

      Required to have experience working with AML Fircosoft applications

o    Continuity Screening

o    Watchlist Management (FUM, FMM, FML, FFC etc)

      Strong analytical mindset, with the ability to interpret business needs, conduct gap analysis, and translate requirements into clear functional and technical specifications.

      Strong capability in process analysis and documentation of end‑to‑end business flows.

      Strong communication and coordination skills across internal and external stakeholders and vendors.

      Good to have knowledge of Payment screening, or financial messaging, e.g. MQ, ISO20022, SWIFT

Technical Skills:

      Experience with Oracle PL/SQL, Oracle SQL.

      JAVA and Windows/ Unix scripting development experience

      Familiarity with Control-M or similar scheduling tools

      Experience working with DevOps tools and pipelines or usage aspart of the integrated development environment

      Good to have experience with MQ messaging technologies.

      Have worked in Linux and Windows platform experience

Purpose

The Data Insights Analyst is involved in the analysis, implementation and performance management of the market or region for optimisation of Corporate, Agency and Digital Sales programmes.

In this role, you will support the Business Insights & Analytics team’s. The Data & Insight Analyst is responsible for the analysis, implementation and performance management of the region. The role is also responsible for optimisation of Corporate, Agency and Digital sales programs.

In this role, you will support the end-to-end regional commercial strategy planning process, starting from goal setting, initiatives formulation to implementation and tracking, with the aim to drive revenue across different customer segments and distribution channels. You will use data analytical tools (both internal and external) to perform analysis and provide commercial teams (i.e. Regional Marketing, Digital, Sales teams) with actionable insights that helps to identify revenue opportunities. You will also be responsible for measuring the success of all sales or go-to-market activities, as well as sharing all learnings with respective stakeholders for future improvements

Key Responsibilities

Business Planning

• Consolidate local market intelligence or any sales opportunities (e.g. MICE, special group movements) and share/discuss with Head Office with proposed plan to win deals with high success rates and incremental revenue
• Support local sales teams in tracking incentives performance, business development or up-/cross-selling activities so that CX remains as the preferred choice for the trade partners and for our customers
• Observe market activities and brainstorm with local stakeholders to design customised products for targeted customer segments, and collaborate with Head Office for new product launches

Analytics Champion

• Act as the analytics champion for the region – i.e. well-versed with all in-house and external data analytical tools (i.e. DDS, QlikSense, PRISM)
• Analyse data, develop reports, draw inferences and provide actionable insights to Regional Sales Teams, including new trends/customer purchase behaviours, new sales opportunities and areas of improvements
• Conduct performance tracking of all campaigns/ initiatives with clear and defined metrics; identify learning points and continue to improve to achieve targets
• Drive adoption of all analytical tools and cultivate data-driven culture within the Regional and Local teams
• Conduct ad-hoc commercial studies and support Head Office-driven analytics projects when required

Pricing and Fares Management

• Provide local-specific insights in the formulation of pricing strategies with HO RMO
• Monitor the effectiveness of the pricing strategies and initiate change discussions when needed
• Responsible for year-round proactive campaign planning process – i.e. developing campaign proposals, benchmarking, market insights and campaign tracking
• Review and analyse local market Corporate discount parameters, Global Specialty products (i.e. students/MICE/Seamen/Cruise)
• Manage communications with local sales teams on fare changes, fare conditions revision, new products/campaigns launches and/or any government fares filing (if required)
• Assist with checking new live fares on GDS to ensure 100% accuracy and troubleshooting of any fare auto-pricing errors
• Manage ad-hoc fare proposal and requests

E&A responsibility

• Emergency and Accident and Crisis Response responsibilities as required

General

• Any other reasonable task as requested

Key Requirements

• University Degree (preferably in related disciplines) with minimum 2+ years’ experience in data analysis in a regional team set up
• Strong numerical and statistical analytical skills are essential
• Able to present analysis clearly with findings and actionable insights
• Demonstrated positive and innovative learning attitude, problem-solving skills and stakeholder management
• Knowledge of airline/travel management systems including DDS, MIDT and PRISM is an advantage
• Practical experience with any analytical tools (e.g. QlikSense, Tableau, PowerBI) is an advantage
• Travel/Airline industry experience preferred
• Expert knowledge of MS Suite of tools

Position: SAP Data Analyst / SAP Master Data Executive (1-Year Contract)

Job Description:

• Hands-on experience working with SAP

• Strong knowledge of SAP Master Data, including Material Master Data and Vendor Master Data

• Perform data analysis and validation to ensure data accuracy and integrity

• Proficient in Excel, including Power Query

• Ability to work independently with minimal supervision

• Apply critical thinking to interpret data and make sound recommendations based on analysis

Work Location: Tuas
Contract Duration: 1 year
Salary: up to 4k

Interested candidates, do submit your resume to: jocelynchan@recruitexpress.com.sg OR telegram @jocelynchan

Jocelyn Chan| Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence number : 99C4599
Personnel EA License: R1331820

• Coordinate research activities and ensure projects remain on track across different stages.

• Manage vendors and review research materials, including questionnaires and code frames.
• Test surveys and review data outputs to ensure accuracy, consistency, and quality.
• Consolidate and prepare datasets from multiple sources, ensuring data reliability.
• Create clear and impactful data visualisations using Excel (e.g. charts, pivot tables, dashboards) to support data‑driven decision‑making.
• Support the enhancement of data dashboards through planning and testing.

We’re Looking for Someone Who:

• Has strong organisational skills and thrives in a fast‑paced, deadline‑driven environment.
• Pays close attention to detail and takes pride in ensuring data accuracy.
• Is highly proficient in Excel and comfortable working with large datasets.
• Communicates clearly and effectively with internal and external stakeholders, both written and verbally.

Interested candidate please click"APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating  suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/policies.  If you wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let us know. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd • RCB No.200007268E • EA License No. 01C4394• Reg No: R1440784 (Foo May Cheng) 

• Provide a point of escalation and leadership for high-priority incidents follow-the-sun.
• Facilitate efficient Incident Management process and ensuring timely and formal communication with customers and internal partners for high-priority incidents.
• Define, report and track service quality metrics.
• Ensure a seamless transition to Problem Management while maintaining comprehensive oversight.
• Analyse performance metrics to prepare and present service performance reports
• Instigate and drive service improvement initiatives.
• Ensure effective operation of the Change Management process including risk assessment, approval and sign off.
• Ensure efficient use of Change Management tools in line with global processes.
• Collaborate with relevant teams to keep SLA/SLO accuracy.
• Ensure process alignment with the ITIL and COBIT frameworks.
• Collaborate and contribute with the overall success of all ITSM-related functions (Incident, Problem and Change Management, Service Governance, Service Continuity and the Technical Operations Centre)

Qualifications:

• 5+ years’ experience in an IT or technology support role. With 3+ years of Service Management experience.
• ITIL V4 and COBIT framework adherence proven track record.
• Solid experience collaborating with Incident Management to write and socialize executive-level Incident Reports.
• Solid interpersonal skills and comfortable interacting with partners at both infrastructure and application levels. Must be willing to step up and drive major incidents involving production environments with a strong sense of urgency.
• Excellent communication skills. Exceptional verbal, written and listening skills are essential to exert influence within the organization and with partners and supplier. A specific skill is the ability to summarize and communicate complex technical issues concisely to senior internal partners and customers
• Good report building and presentation skills (PowerBI, PowerPoint, Excel, ServiceNow)
• Good in Resource Planning, Forecasting and Continuous Improvement (Solid grasp of Project Management tooling. Gantt, Kanban, Agile Framework (scrum), Kaizen, et cetera)

Our Client:

• Automotive Industry
• Mon – Fri, 8.30am – 6pm
• West
• UP $7,000 Basic + VB

Responsibilities:

• Lead analysis, design, development, testing, and implementation of complex systems and applications.
• Collaborate with cross-functional teams to gather requirements and understand user needs for system modifications.
• Develop detailed system modification plans, including requirements, process flows, and technical specifications.
• Design and implement system modifications following best practices and ensuring smooth integration.
• Support a team of application developers maintaining in-house applications.
• Apply deep knowledge of the software development lifecycle, process mapping, implementation, and post-live support.
• Provide technical support and guidance to end-users during system transitions.

Requirements:

• Min. Diploma in Computer Science or equivalent.
• Min. 4 years of experience in software development working experiences.
• Proficient with Microsoft.Net platform, MVC / C# / VB.NET and SQL.

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KINGFISHER RECRUITMENT(SINGAPORE) PTE. LTD.

EA Reg No: R23116361 | EA Lic No:17C8713

⇒ Role Summary

The Regional Omni-Retail System Support Analyst plays a pivotal role in ensuring the smooth operation and optimization of omni-channel retail systems. This position supports regional retail teams by maintaining system integrity, troubleshooting technical issues, and implementing system enhancements to deliver a seamless customer experience across online and offline channels.

• Being the L2 supports on Omni-Retail solutions and integrations with various platforms.
• Coordinates with external vendors / developers to contribute the development, testing and implementation of the solutions in place.

The role is a regional role, supporting more than 1690 POS for more than 14 beauty brands in more than 10 markets in APAC, including Australia, Japan, Korea, Hong Kong, Malaysia, Singapore, Taiwan, Thailand, New Zealand etc.

Ideal candidate would have been already exposed Retail System, CRM data Integration, Omni-Channel environment in terms of operational support. This candidate must have a strong business background, and preferably within Retail and Wholesale industry.

⇒ Main Responsibilities

System Maintenance and Support:

• Provide technical support for omni-retail systems, including POS, e-commerce integration, inventory management, and customer relationship systems.
• Troubleshoot and resolve system issues to minimize downtime and ensure operational continuity.
• Monitor system performance and proactively address potential disruptions.

Collaboration and Stakeholder Support:

• Act as the primary point of contact between regional retail teams, Local Beauty Tech teams, and external vendors for system-related matters.
• Partner with cross-functional teams (e.g., marketing, operations, and logistics) to align system capabilities with business needs.
• Train retail staff and stakeholders on system functionalities and updates.

System Optimization and Enhancements:

• Analyze system usage and performance data to identify areas for improvement.
• Participate in the design, testing, and deployment of new system features and updates.
• Assist in integrating new technologies to enhance the omni-retail experience.

Documentation and Reporting:

• Maintain detailed documentation of system configurations, processes, and issue resolutions.
• Generate and analyze reports on system performance, user feedback, and operational KPIs.
• 2nd level support of Omni Retail Systems in Asia Pacific

⇒ Qualifications & Experience

• Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field.
• Minimum of 2 years of experience in retail systems support, IT, or a related role.
• Strong problem-solving and analytical skills.
• Have excellent communication skills, experience working directly with end users, understanding business & translating requirements into solution, curious, pragmatic and proactive, and the ability to work independently.
• Understanding of technical environment (POS, MS SQL, Power BI, Web Services, Integration architecture), and ability to help structuring technical support.
• Strong understanding of retail operations and the role of technology in enhancing customer experience.
• Very Good functional understanding of retail & wholesales Business and POS / CRM topics – 1st experience on retail system supports preferable – already exposed to Retail / CRM applications.
• Excellent communication skills – Good spoken English required.
• Willing to work in a multi-brands and dynamic organization.
• Strong technical skills mixed with good business understanding.
• Willingness to travel to various retail locations within the region.
• Good command of Mandarin is an advantage in order to effectively communicate with Mandarin-speaking stakeholders.

• Possess a degree in Computer Science, Information Technology, or a related field.
• At least 5 years of hands-on experience in L2/L3 application support or development in Python, SQL, Unix, Java, AWS, Datadog, CICD Pipelines, and Git.
• Excellent written and verbal communication skills.
• Strong interpersonal and communication skills to interact with diverse stakeholders.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.

Brief Job Description

Responsibilities:
• Monitor Production Systems: Continuously monitor the health and performance of production applications using monitoring tools and dashboards.
• Incident Management: Respond to and resolve application incidents, ensuring minimal impact on business operations. Document incidents and their resolutions.
• Root Cause Analysis: Conduct root cause analysis for recurring issues and implement corrective actions to prevent future occurrences.
• Collaboration: Work closely with development, QA, and operations teams to identify and resolve application issues.
• Performance Tuning: Analyze application performance and implement tuning measures to optimize system performance.
• Deployment Support: Assist in the deployment of new releases and patches, ensuring minimal disruption to production services.
• Documentation: Maintain comprehensive documentation of application support procedures, incident resolutions, and system configurations.
• User Support: Provide support to end-users and stakeholders, addressing their queries and issues related to production applications.
• Continuous Improvement: Identify opportunities for process improvements and automation to enhance the efficiency and reliability of application support

• Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats.
• Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite.
• Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems.
• Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability.
• Act as a domain expert and trusted partner in cybersecurity; and able to work closely with stakeholders in technology and other business groups on cybersecurity engineering related matters.

Skillset (Must have):

• Possess a strong combination of technical and analytical skills in cybersecurity, including expertise in data loss prevention, data security posture management, enterprise digital rights management, and general data security technologies.

• Hands-on experience in implementing and operationalizing data security solutions and data protection, for both structured and unstructured data, specifically:
  Data discovery, classification, and labelling
  Data encryption, masking, tokenization
  Data Loss Prevention (DLP)
  Enterprise Digital Rights Management / Information Rights Management
  Privacy Enhancing Technologies and Confidential Computing
  Key and certificate management
  Hardware Security Modules (HSM)
  Access controls

• Secure file transfer and data store (including SaaS solutions)
• Familiarity with Cloud security and data security and protection in Cloud environments (e.g., AWS, Azure, Google Cloud).
• Possess scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.
• Ability to create and maintain automation scripts.
• Familiarity with Cloud security and data security and protection in cloud environments (e.g., AWS, Azure, Google Cloud).
• Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and build strong working relationships.
• Apply critical thinking skills to analyze complex security issues, evaluate potential solutions, and make well-informed decisions.

• Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats.
• Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite.
• Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems.
• Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability.
• Act as a domain expert and trusted partner in cybersecurity; and able to work closely with stakeholders in technology and other business groups on cybersecurity engineering related matters.

Skillset (Must have):

• Possess a strong combination of technical and analytical skills in cybersecurity, including expertise in data loss prevention, data security posture management, enterprise digital rights management, and general data security technologies.

• Hands-on experience in implementing and operationalizing data security solutions and data protection, for both structured and unstructured data, specifically:
  Data discovery, classification, and labelling
  Data encryption, masking, tokenization
  Data Loss Prevention (DLP)
  Enterprise Digital Rights Management / Information Rights Management
  Privacy Enhancing Technologies and Confidential Computing
  Key and certificate management
  Hardware Security Modules (HSM)
  Access controls

• Secure file transfer and data store (including SaaS solutions)
• Familiarity with Cloud security and data security and protection in Cloud environments (e.g., AWS, Azure, Google Cloud).
• Possess scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.
• Ability to create and maintain automation scripts.
• Familiarity with Cloud security and data security and protection in cloud environments (e.g., AWS, Azure, Google Cloud).
• Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and build strong working relationships.
• Apply critical thinking skills to analyze complex security issues, evaluate potential solutions, and make well-informed decisions.

• Possess a degree in Computer Science, Information Technology, or a related field.
• At least 5 years of hands-on experience in L2/L3 application support or development in Python, SQL, Unix, Java, AWS, Datadog, CICD Pipelines, and Git.
• Excellent written and verbal communication skills.
• Strong interpersonal and communication skills to interact with diverse stakeholders.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.

Responsibilities:
• Monitor Production Systems: Continuously monitor the health and performance of production applications using monitoring tools and dashboards.
• Incident Management: Respond to and resolve application incidents, ensuring minimal impact on business operations. Document incidents and their resolutions.
• Root Cause Analysis: Conduct root cause analysis for recurring issues and implement corrective actions to prevent future occurrences.
• Collaboration: Work closely with development, QA, and operations teams to identify and resolve application issues.
• Performance Tuning: Analyze application performance and implement tuning measures to optimize system performance.
• Deployment Support: Assist in the deployment of new releases and patches, ensuring minimal disruption to production services.
• Documentation: Maintain comprehensive documentation of application support procedures, incident resolutions, and system configurations.
• User Support: Provide support to end-users and stakeholders, addressing their queries and issues related to production applications.
• Continuous Improvement: Identify opportunities for process improvements and automation to enhance the efficiency and reliability of application support

Role: Lead System Analyst

Location: Singapore

We are partnering with a leading organisation to hire a Lead System Analyst to drive the modernisation and reliability of billing systems. This role will focus on ensuring system stability, quality, and scalability through strong QA governance, DevOps practices, and solution oversight.

Key Responsibilities

• Lead the reliability and performance of billing systems, including monitoring, observability, and incident management

• Conduct technical solution reviews to ensure alignment with architecture, security, and performance standards

• Define and enforce engineering standards, QA governance, and best practices across systems and integrations

• Oversee release and change management processes, ensuring smooth deployment and rollback strategies

• Drive test strategy and quality assurance, including automation, non-functional testing, and defect management

• Manage and guide vendor engineering teams, ensuring delivery quality, SLA adherence, and issue resolution

• Collaborate with cross-functional stakeholders to ensure timely delivery and operational readiness

• Ensure systems comply with security, audit and regulatory requirements

• Prepare technical documentation and mentor team members to enhance overall engineering capability

Requirements

• Degree in Computer Science, IT, Engineering or related field

• 7+ years of experience in IT, including systems analysis, QA, DevOps or production support

• Strong experience in QA practices, including automated testing and release validation

• Experience working with billing systems or similar enterprise platforms

• Knowledge of BSS/OSS environments is an advantage

• Proven ability in solution review, governance and enforcing engineering standards

• Experience managing vendors or external teams

• Familiarity with Agile, CI/CD pipelines, cloud environments and APIs (REST/SOAP)

• Strong analytical, problem-solving and stakeholder management skills

• Ability to work in a fast paced, production critical environment

Nice to Have

• Experience in telecom billing or mediation systems

• Exposure to large-scale enterprise system environments
  

  UEN: 202329526G

  EA Licence: 23S2061

• Identify and recommend improvement areas in existing enterprise security architecture to address evolving cybersecurity threats.
• Align and balance business requirements with cybersecurity, information, and technology requirements, based on the organization’s risk appetite.
• Evaluate, perform proof-of-value/proof-of-concept, design, build and implement enterprise-class cybersecurity systems.
• Develop integrated security operating models and documentations to ensure operational efficiency, scalability, and sustainability.
• Act as a domain expert and trusted partner in cybersecurity; and able to work closely with stakeholders in technology and other business groups on cybersecurity engineering related matters.

Skillset (Must have):

• Possess a strong combination of technical and analytical skills in cybersecurity, including expertise in data loss prevention, data security posture management, enterprise digital rights management, and general data security technologies.
• Hands-on experience in implementing and operationalizing data security solutions and data protection, for both structured and unstructured data, specifically:
  Data discovery, classification, and labelling
  Data encryption, masking, tokenization
  Data Loss Prevention (DLP)
  Enterprise Digital Rights Management / Information Rights Management
  Privacy Enhancing Technologies and Confidential Computing
  Key and certificate management
  Hardware Security Modules (HSM)
  Access controls
  
• Secure file transfer and data store (including SaaS solutions)
• Familiarity with Cloud security and data security and protection in Cloud environments (e.g., AWS, Azure, Google Cloud).
• Possess scripting and coding skills, with proficiency in Java, Python, C#, or similar programming languages, and good understanding of REST API’s and JSON.
• Ability to create and maintain automation scripts.
• Familiarity with Cloud security and data security and protection in cloud environments (e.g., AWS, Azure, Google Cloud).
• Strong written and verbal communication skills, with the ability to convey technical information to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and build strong working relationships.
• Apply critical thinking skills to analyze complex security issues, evaluate potential solutions, and make well-informed decisions.

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Join our Digital Infrastructure & Cybersecurity team as a Network & Security Specialist, securing and maintaining IT systems across on-premise and cloud (AWS) environments.

Responsibilities and Authorities

1. Network Administration & Operations:
• Design, implement, manage, and troubleshoot secure LAN/WAN, SD-WAN, and VPN architectures
• Configure and maintain routers, switches, firewalls, and wireless systems to ensure availability, reliability, and performance
• Policy configuration, VPN setup, Web filtering and content inspection
• Oversee IP addressing, DNS, DHCP, NAT, and VLAN configurations
• Monitor network traffic and bandwidth usage to identify and resolve bottlenecks or abnormal activity
• Perform root-cause analysis of network outages and implement corrective actions

2. IT Security Operations:
• Implement and manage security controls, including firewalls, IDS/IPS, anti-virus/malware protection, endpoint security, DLP, and mobile device management (MDM)
• Conduct security monitoring using SIEM tools and respond to real-time security incidents
• Perform regular vulnerability scans, patch management, and remediation activities
• Lead or support incident response processes, including threat analysis, containment, eradication, and recovery

3. Cloud Security (Azure / AWS / Google Cloud): Co-Own the following duties with the Cloud & Infrastructure Specialist. Ensure proper configuration of cloud-native security services such as:

• Cloud Security Groups, IAM, GuardDuty, Config, CloudTrail, WAF, Defender for Cloud, Azure AD, NSGs, IAM, VPC Firewall & Cloud Security Command Center
• Implement and monitor logging, alerting, and auditing for cloud-based workloads
• Manage secure access to cloud resources using conditional access, MFA, role-based access control (RBAC), and zero-trust principles
• Stay current with evolving cloud security trends, threats, and compliance frameworks

4. Compliance & Governance:
• Ensure compliance with regulatory standards such as ISO 27001, Data Protection and ISO23001
• Maintain up-to-date documentation of network and cloud infrastructure, configurations, security policies, and access controls
• Participate in audits and support internal and external security assessments
• Develop and enforce security policies, standards, and best practices for both on-prem and cloud environments

5. Collaboration & Support:
• Support and train IT staff and end-users on cybersecurity awareness, phishing prevention, and secure IT practices
• Provide tier 2/3 support for security incidents, outages, or escalated network issues

6. Disaster Recovery & Business Continuity
• Regularly test DR plans and ensure high availability and compliance with organization BCP objectives

7. Others
• Performs other duties as may be directed by the Department Manager.

Qualifications
• Bachelor’s degree in Computer Science, Information Security, Network Engineering, or related field
• Minimum 3–5 years of experience in network and IT security roles, with at least 1–2 years focused on cloud security
• Hands-on experience with both on-premise and cloud infrastructures in a mid-to-large scale environment

Certifications (Preferred/Required):
• Required (any one or more):
- CompTIA Security+
- Cisco CCNA Security
- Microsoft Certified: Azure Security Engineer Associate
- AWS Certified Security – Specialty
- Certified Ethical Hacker (CEH)
• Preferred:
- CISSP, CISM, CCSP, GSEC

Technical Skils:
• Proficiency in configuring and securing networking equipment (Cisco, Fortinet, Palo Alto, etc.)
• Experience with cloud platforms (Azure, AWS), cloud networking, and cloud security services
• Familiar with SIEM, SOAR, EDR, NAC, and vulnerability scanners
• Hands-on experiences on authentication protocols and Zero Trust Architecture

Competencies / Skills Requirement
• Strong analytical and troubleshooting skills
• High attention to detail and sense of urgency in handling incidents
• Clear written and verbal communication
• Ability to work independently and collaborate across departments

About Us

Founded in 2014, Lumens Group is leading the transformation of the mobility industry in Singapore. We have successfully built one of Singapore's largest car fleets and expanded our offerings to personal and corporate leasing, purchasing and financing. As we enter a new phase, we're building an integrated ecosystem for merchants and consumers, driven by advanced technology and a mission to enrich everyday life. Now, we're on the lookout for a data analyst intern to join us in Singapore.

Your Role on Our Journey

We are looking for a Data Analyst Intern to support our business teams in making data driven decisions. The intern will work closely with different stakeholders to understand processes and reporting needs and then translate them into automated solutions and dashboards. This role is ideal for someone who is detail-oriented, curious, and eager to learn about data analysis and business operations.

Your Day-to-Day Adventures

• Collaborate with different teams to understand workflows, requirements, and reporting needs.
• Automate report generation to improve efficiency and reduce manual work.
• Build, update, and schedule Power BI dashboards for business monitoring.
• Clean, transform, and prepare data from multiple sources for analysis and automation.
• Assist in setting up data pipelines to ensure data accuracy, timeliness, and usability.
• Conduct ad-hoc analyses to provide insights that support business decisions.

What Makes You a Perfect Fit

• Proficient in Power BI (dashboard creation, scheduling, data modeling).
• Familiarity with data integration and data pipelining (extracting, cleaning, and preparing data from multiple sources).
• Basic scripting/programming knowledge (e.g., Python for report automation, data cleaning, or ETL tasks).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills to translate business needs into technical requirements.

Good to Have (Bonus) Skills

• Knowledge of SQL for querying and joining datasets.
• Experience with Excel/Google Sheets for quick analyses.
• Exposure to ETL tools or cloud data platforms.
• Basic understanding of data governance, quality checks, and version control.

Ready to Drive the Extra Mile?

Send your resume that showcases your unique spark to us today. If your journey aligns with ours, we'll get in touch soon!