Total 963 data entry job vacancies in Information Technology category

One North COnsulting, a Singapore based firm specializing in providing Technology Solutions is currently hiring Data Engineers - Singapore Citizens/ PRS with 5+ years of experience as per details given below.

Job Description:-

As Data Engineer, you will support Data Engineering team in setting up the Data Lake on Cloud and the implementation of standardized Data Model, single view of customer.

You will develop data pipelines for new sources, data transformations within the Data Lake, implementing GRAPHQL, work on NO SQL Database, CI/CD and data delivery as per the business requirements.

Job Description:

• Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering team.
• Ensure timelines (milestones, decisions and delivery) are managed and achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
• Ensure final handover of initiative to business-as-usual processes, carry out a post implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learnt are included in future processes.

Who we are looking for:

Competencies & Personal Traits

• Expertise in Databricks
• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
• Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Data Lake
• Knowledge of NOSQL databases.
• Expertise in Cosmos DB, Restful APIs and GraphQL
• Knowledge of Big data ETL processing tools, Data modelling and Data mapping.
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs
• Excellent problem analysis skills

Experience

• 4+ years (no upper limit) of experience working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

Certifications related to Data and Analytics would be an added advantage 

Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration.

• Designing and developing reports and dashboards in PowerBI,setting up access control with row level security DAX query experience.

• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs.

• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.

• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion.

• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project.

• Deployment of pipeline artifacts from one environment to the other using Azure Devops.

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.

• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up.

• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control.

• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python.

• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)

• Team player with good interpersonal, communication, and problem-solving skills.

• Preferred to have Devops expertise.

Working hours :

8:30am to 6pm (Monday to Friday) onsite, no hybrid option.

The Data Processing Specialist is responsible for data coding and data input validation focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health, and Beauty Products). As a Data Processing Specialist at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner. This role is to support New Zealand market (CI). 

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

Job Responsibilities:

• Build and manage data pipelines (batch and real-time) using Databricks / Snowflake

• Implement data ingestion frameworks (API, streaming, batch) for external sources

(e.g., Moody’s)

• Develop data transformation, standardisation, and enrichment pipelines

• Implement data quality checks and CDQ rules within pipelines

• Integrate pipelines with metadata and lineage platforms

• Automate workflows and integrate with ServiceNow for issue management

• Support implementation of data governance controls and audit traceability

• Build reusable data engineering components for scalability

Job Requirements:

• Minimum 10 years of relevant experience

• Strong hands-on experience in Databricks (Spark, Delta Lake) / Snowflake

• Experience in ETL/ELT pipelines, API integrations, streaming (Kafka/Event Hub)

• Knowledge of data quality frameworks and validation techniques

• Familiarity with data lineage integration and metadata tagging

• Programming skills (Python, SQL, Spark)

• Experience with cloud platforms (Azure / AWS / GCP)

• Understanding of governance integration (Collibra / Atlan / Purview preferred)

• To perform preliminary automated sorting and generate system-assisted grouping outputs.

• Conduct comprehensive manual validation to ensure accuracy of all preliminary outputs.
• Ensure end-to-end alignment of service types
• Process and organize all the local port (LP), number port (NP), and partial LP related data sets
• Conduct thorough validation to confirm the accuracy, consistency and correctness of all LP data sets
• Rectify data discrepancies (“dirty data”) through systematic correction, clarification or escalation to Customer’s team
• Perform weekly data validation exercise prior to batch finalization to ensure datasets remain up-to-date and migration ready
• Conduct regular check of IP reachability to ensure network readiness for migration
• Document all reachability tests and highlight any in-accessible nodes for rectification

Overall Scope of work for everyone

Pre-migration activities

• Perform pre-migration checks and testing to ensure service readiness, including:
• Test matrix execution;
• Inbound/outbound call scenarios;
• Confirmation that subscriber data is fully synchronized prior migration;
• Identification and rectification of anomalies that may impact the migration process

During-migration activities

• Carry out migration activities in accordance with the approved cutover schedule, including:
• Execution of approved migration scripts for provisioning, rollback;
• Real-time monitoring of migration status and KPIs;
• Immediate troubleshooting and escalation of any errors, mismatches, or failed migration entries;
• Coordination with Customer and teamsto validate progress and address exceptions;
• Documentation of all actions performed during the migration window

Post-migration activities

• Perform post-migration calltesting;
• Validate that subscribers services are fully restored and operating as expected;
• Conduct post-migration monitoring to detect abnormalities or service degradation;
• Rectify all post-cutover issues prior to work order (WO) closure; and
• Submit complete migration evidence, logs and reports for Customer verification and audit.

Requirements

• N, O or NITEC holder
• IT Savvy preferred
• Salary at $2500-$2800
• Monday to Friday -9am to 6pm
• Jurong area
• MUST BE ABLE commit from April/May to Dec 2026

Job ID: GTIP008

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to gesse.tan@peopleprofilers.com

We regret that only shortlisted candidates will be notified

People ProfilersPte Ltd

• 20 Cecil Street,#08-09, Plus Building, Singapore 049705
• Tel: 69509745
• EA Licence Number:02C4944
• EA Number: R1108448
• EA Personnel: Tan LiliGesse

Job Summary:

We are seeking a Data Analyst to support the post-processing and analysis of imaging data, contributing to clinical and pathological assessments. This role is ideal for candidates with foundational knowledge in medical imaging technologies and a keen interest in applying analytical skills to real-world clinical data.

This position provides a valuable opportunity to develop and apply expertise in medical image analysis, contributing to critical clinical research and diagnostic projects.

Key Responsibilities:

Data Processing Support:

Assist in the processing and analysis of imaging data for clinical and pathologist review.

Collaboration and Coordination:

Collaborate within the research team to execute data-driven projects. This includes helping to prepare summary statistics, tabulations, and graphical representations of data.

Data Management:

Support the proper formatting and reporting of data to ensure compatibility with medical platforms. This includes networking data to designated workstations and assisting in the verification of image and data validity. Ensure compliance with clinical data management requirements.

Quantitative Measurements:

Conduct quantitative measurements on Second Harmonic Generation/Two-Photon Excitation Fluorescence (SHG/TPEF) images under supervision.

Project Support:

Participate in various research and analysis projects, leading and optimizing data analysis efforts.

Required Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.
• No experience is required. However,1–2 years of experience in data analysis and familiarity with medical imaging is preferred.
• Proficient in Matlab, Python, SPSS or SAS.
• Read, write and speak fluent English; excellent verbal and written communication skills
• Strong organizational skills and ability to manage multiple tasks simultaneously.
• Good communication skills and ability to work effectively in a team environment.
• Eagerness to learn from senior staff and improve data analysis skills.

Key Responsibilities

• Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes.
• Develop and optimize SQL queries, data models, and data structures for analytics and operational use cases.
• Work with diverse data storage systems, including relational, NoSQL, and distributed file systems.
• Implement data processing solutions using distributed computing frameworks such as Apache Spark or Hadoop.
• Collaborate with cross‑functional teams to deliver cloud‑native data engineering solutions on AWS or Azure.
• Develop automated workflows using orchestration tools such as Apache Airflow or Azure Data Factory.
• Apply DevOps practices including CI/CD automation, IaC, and containerization.
• Contribute to the design of resilient, scalable, and secure data architecture.

Requirements

Experience: Minimum 3 years of professional experience in data engineering, including at least 2 years working with cloud‑native data services.

Programming: Proficiency in at least one programming language such as Python, Java, or .NET.

Data Fundamentals:

• Strong SQL expertise in relational databases and data warehouses.
• Solid understanding of data modeling, data structures, and access patterns.
• Hands‑on experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL systems (e.g., DynamoDB, CosmosDB), and distributed storage.

Cloud Platforms: Practical experience with major cloud services (AWS or Azure), such as:

• AWS: S3, RDS/Aurora, EMR, Glue, Athena, Redshift, Lambda
• Azure: Data Lake Storage, Azure SQL, CosmosDB, Data Factory, Synapse

Data Processing: Experience using frameworks like PySpark, Apache Spark, Hadoop, and libraries such as Pandas.
Orchestration: Familiarity with Airflow, Azure Data Factory, or similar tools.

DevOps & Governance:

• Experience with CI/CD pipeline development.
• Knowledge of IaC tools such as Git, Docker, and Terraform.
• Understanding of system design principles for data platforms.

Job Responsibilities:

• Define enterprise data architecture and data models (canonical / logical / physical)

aligned to DMO strategy

• Design Data Integration Platform (DIP) integrating external sources (e.g., Moody’s,

risk and financial data providers)

• Establish data governance frameworks aligned to DAMA-DMBOK and DCAM

• Architect data lineage, metadata management, and catalog solutions (Collibra / Atlan

/ Purview)

• Define data quality strategy (CDQ) including rules, monitoring, and remediation

workflows

• Integrate governance workflows with ServiceNow (submission, approval, change

management)

• Ensure compliance with regulatory requirements (audit, traceability, lineage)

• Define target-state architecture using Databricks / Snowflake / Alteryx ecosystems

Job Requirements:

• Minimum 10 years of relevant experience

• Strong experience in Data Architecture and Enterprise Data Modelling

• Hands-on experience with Collibra / Atlan / Microsoft Purview

• Deep understanding of DAMA-DMBOK, DCAM frameworks

• Experience in data lineage, metadata management, and governance platforms

• Knowledge of API integration, ETL pipelines, and data ingestion frameworks

• Familiarity with ServiceNow workflows and integration patterns

• Strong stakeholder management and ability to work with DMO / governance teams

The Sustainability Data & Energy Analyst plays a critical role in analyzing, forecasting, and optimizing the company’s energy usage, utility spend, and sustainability performance. This position leads complex data modeling, energy performance analysis, and reporting initiatives that support cost reduction, operational efficiency, carbon reduction strategies, and regulatory compliance. The ideal candidate combines strong technical analytics skills with deep knowledge of energy systems, utility data, emissions accounting and ability to communicate effectively with a wide range of colleagues, from facilities technicians to senior leaders.

ESSENTIAL DUTIES AND RESPONSIBILITIES 

1. Energy & Utility Data Analytics

• Collect, clean, and analyze utility and resource consumption data across facilities, assets, and operations. Resources to include, at a minimum, fuels, gases, chemicals, water, waste and energy.
• Develop dashboards, performance indicators, and analytics tools to monitor energy and resource consumption, trends, anomalies, and savings opportunities.
• Conduct variance analysis, cost modeling, and root‑cause investigations of energy performance deviations.
• Identify and quantify energy efficiency opportunities, load optimization strategies, and cost‑saving programs.
• Develop and deliver effective data-related trainings to ensure high fidelity incoming data. Conduct spot checks and check-ins with employees across global sites to confirm uptake and understanding.

2. Forecasting & Modeling

• Build and support modelling for Scopes 1, 2, 3, water and waste goals, configure models to ensure dynamic conditions are incorporated, assumptions documented, and risks to performance are evident and monitored.
• Build and maintain forecasting models for Scopes 1, 2, 3 and water, and waste.
• Build and maintain energy forecasting models for electricity, fuel, thermal energy, and peak demand, incorporating traditional and clean energy sources.
• Support financial planning with energy budget models, scenario analysis, and rate/tariff evaluations.
• Evaluate the financial and operational impacts of energy price fluctuations, weather patterns, utility programs, and operational changes.

3. Sustainability & Emissions Accounting

• Manage greenhouse gas (GHG) emissions calculation across Scopes 1, 2, and relevant Scope 3 categories.
• Prepare energy, emissions, and resource consumption data for corporate sustainability reporting (e.g., CDP, GRI, TCFD, ISSB, CSRD).
• Analyze the energy and emissions impacts of operational initiatives, equipment upgrades, and renewable energy projects.
• Develop standardized tools to direct site-level environmental accounting and reporting; whether SaaS, homegrown, or hybrid tools

4. Third-party Assurance and Audit Support

• Prepare audit‑ready datasets, documentation, evidence, and data dictionaries for energy and GHG emissions assurance reviews.
• Serve as a key liaison between external auditors/assurance providers and internal teams.
• Support walkthroughs, sampling, and testing procedures by providing source data, calculations, and methodological explanations.
• Maintain traceable audit trails, version control, and documentation to meet assurance requirements (limited or reasonable assurance).
• Implement auditor feedback to strengthen internal controls and improve future assurance readiness.
• Assist in annual internal reviews of data processes, methodologies, and system controls to reduce audit findings and risks.

5. Energy Systems & Operations Support

• Partner with operations, facilities, engineering, and procurement to improve energy performance and optimize systems.
• Analyze performance of HVAC, lighting, manufacturing equipment, motors/drives, and building automation systems at a global level. Support site teams as appropriate.
• Support the assessment and validation of energy conservation measures and capital projects.
• Evaluate clean energy and onsite generation opportunities (solar, storage, microgrids, fuel switching, etc.). Partner with site facility teams to explore and evaluate opportunities in-country/region.

6. Data Engineering & Digital Tools

• Develop and maintain data pipelines, automation scripts, and analytics models using SQL, Python, BI tools.
• Manage energy data systems and platforms (e.g., Power BI/Tableau).
• Understand, support, and implement data governance improvements, quality control processes, and documentation standards. With Data Governance manager, conduct periodic reviews of governance model effectiveness and efficiency.
• Drive in-house automation initiatives across Manufacturing EPU, including data workflows, crew operations, and EHS monitoring systems.
• Collaborate with the Data Automation Team to design and deploy digital tools that streamline operational reporting, automate manual data collection, and improve real-time visibility of manufacturing performance.
• Support automation pathways for renewable energy and Carbon-Free Energy (CFE) allocation based on customer demand, enabling efficient energy utilization through digital systems and process automation.

Key Responsibilities and Attributes :

· Duties include providing support to Citi perimeter security infrastructure, which includes firewall, proxy, and remote access systems.

· Investigation, documentation, and resolution of outages to critical business systems that may be caused by firewall, proxy, or remote access systems.

· Escalation of issues to and tracking of progress in conjunction with Client engineering teams, vendors, or other technical resource teams.

· Working incidents or projects beyond the scope of the level 2 team which may include scheduling multiple changes, software upgrades, or configuration activities to resolve.

Desired platforms/skills include:

· Strong troubleshooting and communication skills, tcpdump/pcap/wireshark experience, Check Point Secure Platform Pro & Gaia, Juniper SRX, Bluecoat Proxy, Palo Alto Networks firewalls, Juniper SSL VPN appliances, Juniper Netscreen firewalls, Cisco ASA with AnyConnect client, Network routing with BGP, Linux/Unix experience preferred.

· Also desired/emphasized is a strong analytical and quantitative capability with attention to detail ability to work in a demanding and environment, exhibiting a high degree of flexibility and ability to multi-task, seeking guidance where necessary, strong verbal and written skills are also desired.

About the Role

We are seeking a driven and detail-oriented Data Center Infrastructure Project Manager to lead the delivery of mission-critical projects in Singapore.

This role suits someone who thrives in a fast-paced environment and brings hands-on experience managing data center infrastructure deployments from initial planning through to final client handover.

Key Responsibilities

• As a key project lead, you will take full ownership of project execution and delivery:
• Lead end-to-end delivery of data center infrastructure projects
• Engage clients early to define project scope, requirements, and technical solutions
• Plan and coordinate logistics, including shipping, material readiness, and site preparation
• Oversee on-site implementation, including:

1. Rack installation
2. rPDU deployment
3. Hot and cold aisle containment systems
4. Cable tray and structured cabling works
5. Cage installation
6. Access control systems and CCTV

• Act as the primary point of contact between clients, vendors, and data center operators
• Provide regular progress updates and maintain clear stakeholder communication
• Monitor project timelines, quality standards, and risk factors to ensure smooth execution
• Lead testing, commissioning, and final acceptance and handover processes

Qualifications and Experience

• Proven experience delivering data center infrastructure or fit-out projects
• Strong technical knowledge of racks, rPDUs, containment systems, and cable management infrastructure
• Ability to independently manage projects with a high degree of ownership and accountability
• Detail-oriented with a structured approach to project execution and quality assurance
• Strong communication and coordination skills across multiple stakeholders
• Proactive problem solver with the ability to operate effectively in dynamic environments

Requirements

• Bachelor’s degree in Engineering, IT, or a related field preferred
• PMP certification is highly preferred
• Fluency in English and Mandarin, both written and spoken, is mandatory

Role Overview

We are seeking a Senior Technical Business Analyst who operates comfortably at the intersection of application services, AI, data analytics, cloud, automation, and backend integration. This role requires hands-on experience, not conceptual familiarity.

The successful candidate will actively work with data, AI-enabled solutions, cloud platforms, automation tools, and Node.js-based services, while partnering closely with business stakeholders and delivery teams to shape and deliver practical, outcome-driven solutions.

Key Responsibilities – Business & Application Analysis

• Work directly with business stakeholders to understand application workflows, operational pain points, and improvement opportunities
• Analyse existing applications and services to identify optimization, automation, and AI enablement opportunities
• Translate business needs into clear, actionable functional and technical requirements
• Actively shape solution options in collaboration with delivery teams

Key Responsibilities – Data, Analytics & AI (Hands-on)

• Work hands-on with data to support analytics, insights, and AI-enabled use cases
• Support and contribute directly to AI-enabled initiatives, including predictive analytics, workflow optimisation, decision support, and Generative AI use cases such as knowledge retrieval, summarisation, and RAG-based solutions
• Perform data preparation, validation of outputs, and integration of AI capabilities into business and application workflows
• Ensure AI and analytics outputs are relevant, explainable, and aligned to business intent

Key Responsibilities – Cloud & AWS (Depth Required)

• Work with delivery teams on AWS-based applications and data platforms
• Engage with cloud architecture, service configurations, integrations, and dependencies
• Contribute to discussions on scalability, security, performance, and cost optimization
• Hands-on AWS experience is required; surface-level or purely theoretical exposure is insufficient

Key Responsibilities – Automation & Backend Integration

• Identify and design opportunities for process and workflow automation
• Design and build Power Automate flows, including triggers and integrations
• Support automation across Microsoft 365, SharePoint, Power Apps, and data sources
• Work with Node.js-based services for API integrations, middleware logic, or backend support
• Ability to read, modify, and develop lightweight Node.js services to support application workflows

Delivery & Quality

• Work closely with project managers, developers, and architects throughout delivery
• Support Agile, Waterfall, or hybrid delivery models
• Support UAT planning, execution, and defect resolution
• Perform impact analysis for changes and enhancements
• Ensure alignment with security, data governance, and compliance standards

Required Experience & Capability

• 5–8 years of experience in Business Analysis or similar technical roles
• Strong background in application services and platform-based solutions
• Demonstrated hands-on experience with AI, data, cloud, automation, and backend integrations
• Comfortable operating in delivery environments where outcomes matter more than documentation
• 3+ years of work experience with AI for Business Analysis
• 3+ years of work experience with AI for Data Analysis

Cybersecurity Data Analyst
Job Type: Permanent
Location: South Central, Singapore

Role Overview
We are seeking a Cybersecurity Data Analyst to support advanced cyber operations in a high-impact environment. The role focuses on analyzing large datasets to uncover patterns, trends, and potential threats, helping organizations detect and respond to cyber risks proactively. You will work closely with cybersecurity teams to generate actionable insights and support timely intervention strategies.

Key Responsibilities:

• Examine and interpret data to detect patterns and trends that signal potential cybersecurity threats.
• Create and validate threat-hunting hypotheses using quantitative and statistical approaches.
• Produce insights and evidence that support informed decision-making.
• Share intelligence with cybersecurity teams to facilitate prompt threat mitigation.
• Prepare reports and presentations for senior stakeholders, translating complex findings into actionable recommendations.

Requirements:

• Degree in Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or equivalent
• Minimum 3 years of experience in data analysis, transformation, and interpretation
• Experience with big data frameworks such as Hadoop, Hive, Spark, and proficiency in SQL
• Familiarity with statistical techniques including regression, distributions, and hypothesis testing
• Highly analytical with excellent communication and presentation skills, a fast learner, and self-motivated to quickly adapt to new technologies and domains.

Preferred Skills

• Knowledge of cybersecurity concepts and applications; relevant certifications.
• Familiar with Computer Networking, Network Security, or System Security.

If you are interested, kindly send your resume (in MS Word format) to Mounika at mounika@rmabpo.com stating your salary expectations & availability to take it forward. 

All Curriculum Vitae will be treated with the strict confidentiality. 

By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgskn and Privacy Policy at http://bit.ly/3W63rp7. 
 
 
Mounika Tanuku|EA Regn. No. R22109193 
RMA Consultants Pte Ltd|EA Licence No. 93C4403 

Job Description

• Overseeing incoming vendor invoices and process for payments in accordance with schedule.
• Submission of invoices to Accounts department with supporting documentations and payment approvals.
• Track and manage vendor statement of accounts.
• Assist the team with month end, quarterly closing activites and account payment reconciliations.
• Ensure company financial compliance with Goods and Services tax regulations while processing vendor invoices.
• Support yearly audits by providing required documentations and vendor invoices report.
• Perform three-way matching (PO, D/O, vessels' material receipts) to ensure inventory control.
• Cross-divisions, inter-team coordination, managing vessels and suppliers for resolving invoices discrepancies.

Requirement

• Preferably with experience in Accounts payable/Accounts Receivables.
• Have at least 1-2 years experience in logistics/shipping industry
• Is proficient in Microsoft Office