Total 208 Senior Executive data entry job vacancies in Information Technology category in Australia

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Senior Data Engineer Consultant to support enterprise data transformation initiatives. You will be responsible for developing and optimizing data pipelines, enabling scalable data solutions, and supporting analytics and reporting needs across the organization.

Key Responsibilities

• Review and assess data engineering deliverables, including data pipelines, data models, architecture designs, and technical documentation.
• Provide independent technical validation and recommendations to ensure alignment with business and technology objectives.
• Ensure data solutions comply with governance, security, scalability, and performance standards.
• Collaborate with stakeholders and delivery partners to resolve technical issues and implementation challenges.
• Identify risks, gaps, and opportunities for improvement across data platforms and processes.
• Support project governance, acceptance reviews, and technical sign-off activities.

Requirements

• 7–10 years of experience in Strong experience in Data Engineering, Data Architecture, or Data Platform delivery.
• Hands-on knowledge of Databricks/Fabric, Azure Data Platform, Python (PySpark), and SQL.
• Experience reviewing solution designs, data models, and enterprise-scale data pipelines.
• Understanding of data governance, data quality, and cloud architecture best practices.
• Ability to engage with both technical and business stakeholders.
• Prior experience working with consulting firms, system integrators, or large transformation programmes is highly preferred.

• Analyse sales data and market trends to support business decisions

• Maintain databases and ensure data accuracy (Excel, SAP, internal systems)

• Prepare reports, dashboards, and track key performance metrics

• Provide data-driven insights to support sales strategies

• Assist in B2B marketing campaigns and lead generation activities

• Monitor and evaluate campaign performance for optimisation

• Collaborate with sales & marketing teams on business initiatives

• Support marketing materials, promotions, and ad hoc duties

Requirements:

• Bachelor Degree in Business/Marketing/Engineering

• Min 3 years experience in B2B Marketing

• Proficient in Excel, Power BI/Tableau

• Knowledge in Power Automation is an advantage

• Working Hours: Mon to Fri (8.15am - 5.30pm)

• Location: Lavender

• Salary: Up to $4400

• Able to start work within short notice

How to apply:

Interested applicants kindly state your expected salary, last drawn salary and starting date.

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

Log on to www.e-cruitteam.com.sg for more job opportunities!

EA Personnel: Teo Kai Xin, Joey
EA Reg ID: R23114229
EA Licence No.:19C9603

About Us:

From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No.1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.

Responsibilities:

• Drive data governance initiatives by translating complex requirements into clear, actionable deliverables, including KDE identification, EUC inventory and criticality assessment, data aggregation process mapping, and data lineage implementation.
• Designed and implemented risk management frameworks for financial institutions.
• Prepared regulatory documentation and supporting materials covering such as Anti-Money Laundering (AML), internal controls, outsourcing governance, and risk management.
• Conducted regulatory gap assessments by evaluating client operations against regulatory requirements and identifying areas for remediation and compliance enhancement.
• Provided advisory support on regulatory compliance and risk management matters, helping clients navigate complex regulatory requirements and implement practical compliance solutions.
• Apply prior experience and practical knowledge from past data governance projects to design effective solutions and drive successful outcomes.
• Develop and manage project plans with clear milestones, governance structures, and defined roles and responsibilities.
• Integrate ABeam’s project management methodology with the bank’s operational practices to ensure plans are both strategic and executable.

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in data governance or regulatory advisory & risk management roles within a financial institution, preferably banking.
• Proven ability to work in complex, multi-stakeholder environments involving business, IT, compliance, and vendors.
• Strong documentation skills using PowerPoint, Excel, and Word.
• Solid project management skills, including progress tracking, issue and risk management, and stakeholder coordination, experience preparing and delivering reports or presentations to senior management or executives and good stakeholder management and communication skills are a plus.
• Proficiency in business-level English and Japanese speaking in order to liaise with Japanese speaking clients and stakeholders.
• Strong understanding of regulatory reporting, internal reporting, finance/accounting business processes, and related systems.
• Familiarity with data lineage concepts, understanding of finance and accounting business processes, regulatory reporting, and related systems are a plus.
• Prior collaboration with risk management and finance/accounting departments on external and internal reporting activities is highly beneficial.
• Ability to prepare and present clear, structured executive reporting.
  

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

Job Summary

We are looking for a detail-oriented and reliable Data Entry Executive to join our team. The ideal candidate will be responsible for accurately inputting, updating, and maintaining data in company systems while ensuring high levels of accuracy and efficiency.

Responsibilities

• Enter, update, and maintain data accurately in internal databases and company systems to support operational needs
• Verify data entries for accuracy and completeness to ensure data integrity
• Review and correct data discrepancies to maintain reliable records
• Maintain confidentiality of sensitive information in compliance with company policies
• Generate reports and retrieve data promptly as requested by team members or management
• Organize and maintain digital and physical records to facilitate easy access and retrieval
• Support administrative tasks as needed to contribute to smooth office operations
• Meet deadlines consistently by managing time effectively and prioritizing tasks
• Follow instructions carefully and demonstrate willingness to learn new processes and tools

Preferred competencies and qualifications

• Basic computer literacy, including typing skills and familiarity with Microsoft Excel or similar tools
• Attention to detail to ensure high accuracy in data handling
• Responsible work attitude and ability to meet deadlines

Other Information

• Job Type: Full-time
• Working Hours: Monday to Friday, 9:00 AM – 5:00 PM
• Salary: Competitive salary package
• Benefits include training for new hires, a friendly and supportive work environment, and opportunities for growth and development

Job Descriptions

As the Senior Data Analytics, you will be responsible for architecting the data ecosystem and
bridge the gap between raw engineering and business strategy. This position will design scalable
data models (Star/Nested Schema), orchestrate complex workflows using Airflow/Prefect, and
maintain a high-integrity Modern Data Stack via dbt and CI/CD. This position need to be proficient
in SQL and Python who can build intuitive self-service tools while translating technical complexity
into actionable business insights.

Job Responsibiities

• Design and implement robust data structures using Star Schema and Nested Schema methodologies to support complex business logic.
• Build and manage scalable data workflows using Airflow or Prefect, ensuring high availability and performance.
• Leverage dbt for transformation, Git for version control, and CI/CD pipelines to maintain a rigorous development lifecycle.
• Define and implement data quality tests (schema checks, null value alerts, and referential integrity) within the pipeline to catch upstream breaking changes.
• Create intuitive, high-impact dashboards in Tableau, Power BI, or Sigma that allow stakeholders to find answers independently.
• Implement monitoring tools to ensure data health, proactively identifying and resolving quality issues before they reach the business.
• Utilize Python (Pandas, NumPy) or R to perform complex, repeatable analyses that go beyond standard SQL.
• Act as the bridge between technical infrastructure and business strategy, translating complex data findings into actionable insights for non-technical leadership.

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
• Mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
• Establish insight-driven approaches to address key business problems and drive business impact
• Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
• Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
• Translate open-ended business problems into clearly defined data science initiatives for the team to implement

Qualifications

• 5+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred
• Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments
• Demonstrated experience applying data science to drive growth initiatives with concrete impact
• Strong skills in SQL and Python/R; experience with data modeling a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

• Analyse sales data and market trends to support business decisions

• Maintain databases and ensure data accuracy (Excel, SAP, internal systems)

• Prepare reports, dashboards, and track key performance metrics

• Provide data-driven insights to support sales strategies

• Assist in B2B marketing campaigns and lead generation activities

• Monitor and evaluate campaign performance for optimisation

• Collaborate with sales & marketing teams on business initiatives

• Support marketing materials, promotions, and ad hoc duties
  

Requirements:

• Min Bachelor Degree in Business/Marketing/Engineering

• Training Provided

• 5 days work week (Mon to Fri 8.15am - 5.30pm)

• Location: Kallang

• Salary: Up to $3500

• Able to start work within short notice
  

How to apply:

Interested applicants kindly state your expected salary, last drawn salary and starting date.

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

Log on to www.e-cruitteam.com.sg for more job opportunities!

EA Personnel: Teo Kai Xin, Joey
EA Reg ID: R23114229
EA Licence No.:19C9603

DSBJ is a leading worldwide technology partner providing critical components for IoT intelligence, with a special focus on Telecommunication Equipment and Metal Precision, LED technologies and Interconnect solutions. Technological innovation is in the DNA of entire organization and is also the cornerstone of DSBJ’s success. With cutting-edge production facilities and advanced technology, we constantly deliver state-of-the-art products and quality services. Towards this, DSBJ has established the AI COE team to fully incorporate Big data and Artificial Intelligence into strategic roadmap and enable digital transformation and smart manufacturing/engineering initiatives.

As the Senior / Principal Data Scientist specializing in Smart Engineering, she/he will apply advanced analytics—including machine learning, generative AI, and optimization—within engineering and design domains to convert complex engineering data into actionable insights that drive faster, higher-quality decisions. This role will design, build, validate, and deploy analytical prototypes, taking solutions from concept through production. Working closely with experts in big data, software engineering, and advanced analytics, she/he will also contribute to the development of scalable, cutting-edge analytics capabilities that support evolving business requirements and product innovation.

Main Responsibilities:

• Design and develop algorithms to parse, interpret, and analyse engineering data, inclusive of structured data, technical PDF, 2D drawing, 3D CAD models
• Apply machine learning, deep learning, and geometric modelling algorithms to engineering problems, including drawing understanding (symbol, dimension, feature recognition), CAD feature classification and semantic labelling, part similarity, clustering, and reuse detection
• Collaborate with software and data engineers to productionize models and deploy them as services or internal platforms
• Work closely with mechanical engineers, manufacturing engineers, and process design engineers to translate domain knowledge into AI features
• Communicate advanced analytics solutions to non-technical stakeholders, translating technical insights into clear business value to drive understanding and adoption
• Advise management and stakeholders on best practices for applying advanced analytics to engineering problems through exploration, benchmarking, and evidence-based evaluation
• Work with project manager to break down overall work into manageable and tractable tasks while satisfying time, cost and resource constraints.
• Perform progress check, solution review and documentation on regular basis.

Job Requirements:

• At least Bachelor degree in Mechanical Engineering, Data Science, Applied Mathematics, Statistics, Computing Science. A post-graduate degree is an advantage
• Minimum of 5 years of work experience in academic or business context to apply Data Science, Machine learning, Deep Learning, Optimization to engineering problem
• Profound knowledge (e.g. application, limitation, challenges) of advanced analytics (e.g. rule-based, deep learning, LLM) in analysing the engineering data (e.g. PDF, DXF, STEP, ODB++)
• Hands-on modelling/coding experience using various tools/libraries (e.g. AutoGluon, Ultralytics, Gurobi, TensorFlow, PyTorch, SciKit-Learn, Open CASCADE)
• Proficiency in programming language (e.g. Python, Java) and database querying (e.g. SQL)
• Self-motivated, proactive, independent learner who is willing to learn, experiment, and share knowledge with broader AI COE team to build innovative culture.
• Proficiency in both English and Chinese, to liaise with the Chinese-speaking associates in China Headquarter office.
• Domain knowledge in engineering design, industrial automation and engineering software is highly valued
• Experience in feature recognition, design intent extraction, or DFM/DFA automation is highly valued

Reporting to the Senior Treasury Manager, this role is part of the Group Treasury team and supports a broad range of treasury functions, including liquidity management, foreign exchange (FX), cash investments, funding, investor relations (IR), and insurance management across the SMRT Group. This role places a stronger emphasis on process automation, data analytics, and digital transformation initiatives within treasury operations.

Responsibilities

You will assist in the following treasury operations & insurance management:

•    Support day-to-day treasury operations, including liquidity management, FX, cash investments, and funding activities.
•    Provide support for critical treasury operations during teammates’ absences to ensure business continuity with timely escalation to the Senior Treasury Manager as needed.
•    Analyse and evaluate current treasury processes and KPIs to identify opportunities for streamlining and automation.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Enhance and optimize existing spreadsheets, and develop dashboards using Power BI and other tools.
•    Proactively identify opportunities for digital enhancement and process improvements.
•    Drive system improvements within the Treasury Management System (TMS) to improve efficiency and data visibility.
•    Collaborate and assist the Manager, Finance Systems & Digitalisation with treasury automation & AI initiatives and provide adhoc data analysis support and management reporting to meet stakeholder needs.
•    Support audit-related activities, including data preparation, documentation, and coordination.
•    Participate in and support ad hoc treasury and finance projects as required.
•    Provide administrative support, including documentation and filing, where necessary.

Qualifications & Work Experience

•    Bachelor’s degree in Finance, Business, Accountancy, Engineering, Computer Science or Data Science.
•    At least 4 years of relevant experience in Treasury, preferably in listed companies in Singapore.
•    Demonstrated experience in data science, advanced analytics, or business intelligence roles, with a proven track record of applying these skills.
•    A Master's degree or relevant certifications in FinTech, Business Analytics, or Financial Modeling is a strong plus.

Skills

Technical skills include:
•    High level of financial literacy, numeric and analytical capability with good knowledge of financial statements and markets
•    Proficiency in Excel, Power Automate, Power BI, Power Query including advanced functions, VBA and Bloomberg
•    Strong proficiency in SQL for data extraction and manipulation.
•    Working knowledge of Python or R for statistical analysis and scripting automation.
•    Extensive experience with TMS, including system administration, system design, and implementation support.
•    Understanding of Robotic Process Automation (RPA) tools and methodologies for automating treasury tasks.

Generic skills include:
•    Good interpersonal and communication skills
•    Highly driven and ability to thrive in a fast-paced and dynamic environment
•    Good time management skills to prioritize and meet tight deadlines
 

· Bachelor's or Technical Degree in Computer Science, IS, or IT is preferred

·  At least 8 years of relevant working experience in Java/J2EE development

· At least 2 years of experience in big data technology development like the Hadoop platform.

·  Good understanding & working knowledge with Agile/Scrum

·   Hands-on experience of end-to-end design and implementation of complex IT systems

· Must have experience in:

o Java/J2EE, Spring, Spring Boot, RESTFUL Webservices.

o Strong knowledge in Core Java (Java 8+).

o   Experience in Kafka messaging system.

o   Big Data framework like Storm, Hadoop, Hdfs, Hbase, Ignite.

o   SQL & No-SQL database like PostgreSQL, MySQL, Hbase, MongoDB.

o   Knowledge of Flink,Redis, s3, MongoDB is an advantage.

o   Tools – Maven, GIT CICD, Cucumber, Kibana.

o   Knowledge of containerization technologies like Docker & Kubernetes.

o   Solution design using proven patterns, awareness of anti-patterns, performance benchmarking.

o   TDD driven development mindset with strong skills in Junit, Mockito and other Unit testing frameworks.

o   Knowledge on DevOps Practices.

· A bachelor's or technical degree in Computer Science, IS, or IT is preferred

· At least 8 years of relevant working experience in Java/J2EE development

· Hands-on experience in big data technology development is preferred

· Good understanding & working knowledge with Agile/Scrum

· Hands-on experience of end-to-end design and implementation of complex IT systems

· Solution design using proven patterns, performance tuning.

· DevOps/release management/production support skills strongly preferred.

· Java/J2EE, Java 1.8 and above is preferred to implement parallelism and concurrency.

·        Must have knowledge on Spark/Flink/Storm to analyze and transform large amounts of data.

·        Must have knowledge of HBase and Elasticsearch to perform CRUD operations on big data.

·        Must have good understanding on IBM MQ, Kafka for message processing.

·        Good knowledge on Cloud Platform (AWS, GCP,etc)

·        Should have knowledge of Maven, gradle, Jenkins, UML, GitHub Copilot tools to manage and build project.

·        Should have knowledge on GIT, GIT Lab, Junit, Cucumber, Jira, Sonar to manage/test source code effectively.

·        Should have good knowledge on Spring, Spring REST, Web services, gRPC, Micro services,framework to implement robust API’s.

·        Must have knowledge on Kibana, spark UI, ELK to debug and identify the root cause of the issues.

Responsibilities

• Perform production job support and track incidents to closure especially on the batch job recovery and failures
• Conducting EVMS (Enterprise Vulnerability Management System) assessment and patching to ensure data accuracy and integrity.
• Participating in on-call rotations to address urgent monitoring issues outside of regular business hours.
• Respond to alerts and incidents generated by monitoring systems, investigate root causes, and implement corrective actions to resolve issues promptly.
• Evaluate potential solutions relating to business intelligence and data warehouse and make recommendations to resolve business problems
• Liaise closely with vendors and project team members in project implementation, application testing, supporting application patches and upgrades in accordance with project methodologies and policies
• Support the team in defining, tracking and documentation of the technical deliverables expected
• Provide 24/7 primary application maintenance support on technical aspects

Requirements

• Degree in Computer Science, Information Technology, Computer Engineering or equivalent.
• Five (5) years’ experience in developing, implementing and maintaining data warehouse.
• Strong experience in using Informatica PowerCenter with ability to diagnose and troubleshoot ETL errors.
• Strong SQL skills using Oracle and SQL server databases.
• Thorough understanding of data warehouse concepts, dimensional design, and ETL optimization.
• Experience in data modelling and design.
• Ability to manage users, vendors and coordinate with multi-disciplinary teams.
• Strong analytical skills and ability to work independently, as well as in a team

• MNC Company
• Basic $3000 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Kallang
• Working day: Monday to Friday
• Working hours: 9am to 6.15pm

Job Responsibilities:

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and company own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
• Other ad hoc duties as assigned

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field
• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492