Total 15,234 data entry job vacancies in Malaysia

Job Description: Junior Data Entry Clerk (Accounts Payable)

Position: Junior Data Entry Clerk (Accounts Payable) Contract for 3 months

Reports to: Account

Department: Finance

Job Purpose:

The Junior Data Entry Clerk for Accounts Payable is responsible for accurately entering financial data related to vendor invoices and payments. This role involves supporting the accountant by maintaining accurate records, ensuring the smooth processing of payments, and assisting with administrative tasks.

Key Responsibilities:

Data Entry:

• Accurately input vendor invoices, purchase orders, and payment details into the accounting system.
• Ensure proper coding of invoices to appropriate general ledger accounts.
• Maintain up-to-date records of all transactions in the system.

Invoice Verification:

• Review invoices for accuracy, ensuring necessary approvals and proper documentation are attached.
• Flag and report any discrepancies or missing information to the Accountant.

Payment Processing Support:

• Assist in preparing payment batches (e.g., checks, electronic funds transfers) for review and approval.
• Help with organizing and filing payment records, invoices, and supporting documents.

Reconciliation Support:

• Assist with basic vendor statement reconciliations to ensure all transactions are accounted for.
• Help identify and resolve any discrepancies or outstanding items.
• Documentation & Filing:

Maintain proper filing systems (physical or digital) for invoices, payment records, and other financial documentation.

• Ensure all documents are organized and easy to retrieve for audits or reviews.

General Administrative Support:

• Assist the Accountant with administrative tasks, such as handling mail and vendor communications.
• Provide support during the month-end closing process by ensuring data accuracy and helping with reports.

Qualifications:

Education:

High school diploma or equivalent (required).

Relevant certifications or courses in accounting or bookkeeping (preferred).

Experience:

0-1 year of experience in a similar role, ideally in finance or data entry.

Skills:

Strong attention to detail and accuracy in data entry.

Basic understanding of accounting principles.

Proficient in Microsoft Office (especially Excel) and experience with accounting software (e.g., Odoo, Xero, QuickBooks) is a plus.

Good organizational and time management skills.

Personal Attributes:

Strong work ethic and a willingness to learn.

Ability to work independently and as part of a team.

Good communication skills for interacting with team members and vendors.

Key Performance Indicators (KPIs):

Accuracy and timeliness in data entry:

Number of errors or discrepancies in invoice processing.

Timeliness in completing assigned tasks and meeting

- Assist the production department in collecting data.

- ⁠Input the Excel file and export it to report to the production manager.

- Comprehend how to calculate the product.

• Casual dress code
• Open Culture
• Personal development opportunities

About the Team:

Are you eager to elevate your career to new heights? Join us for an exhilarating opportunity to pioneer our groundbreaking digital bank project, where boundless possibilities await!

We're thrilled to extend an invitation for you to join our vibrant team of visionaries, innovators, and trailblazers.

As a Senior Data Engineer of our digital bank project, we're not just offering a job; we're presenting an opportunity to be part of something extraordinary.

You'll collaborate closely with some of the sharpest minds in the industry, operating within a supportive and collaborative environment that fosters creativity and exploration.

Your next thrilling adventure awaits with our digital bank project. Join us in shaping the future, today!

About the Role: 

We are seeking a talented Data Engineer to join our Data Team. In this role, you will leverage your expertise to shape and manage our data platform, to enhance data-driven decision-making across the organisation. 

What You'll Do: 

• Design and implement software and data components, to acquire and manage data in a reliable and cost-efficient manner. 
• Ship scalable, testable, maintainable, and high-quality code. 
• Drive standards in data reliability to enable accurate, consistent, and trustworthy datasets, business intelligence products, and analyses. 
• Share knowledge, promote standard methodologies, mentor juniors - making your team the best version of itself. 

What We're Seeking: 

• Proficiency in cloud technologies, or strong experience working in cloud-based engineering teams. 
• Strong proficiency in SQL and Python, and experience with libraries like PySpark, Pandas, DBT and FastAPI. 
• Good understanding in distributed systems, such as Spark, Kafka, Kubernetes, micro-services, or event-driven architecture will be a plus. 
• Good understanding in database, data lake, and data warehouse technologies (Postgres, Redshift, Big Query, Snowflake, etc.). 
• Commitment to quality and what it takes to ship highly maintainable software 
• Owner-operator mindset, and ability to adapt quickly to changing priorities. 
• Excellent communication skills, and ability to work collaboratively in a fast-paced, team-oriented environment. 

What We Value:

• Open-mindedness and constructive communication, fostering an environment of mutual support and growth.
• Responsibility and ownership, with a strong sense of accountability.
• Commitment to teamwork and achieving shared goals.
• Customer focus and dedication to delivering results.
• A proactive approach to leading change and innovation.

Perks & Benefits

• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Central location
• Smart casual dress code
• Free snacks / Happy hours
• Open culture

Are you passionate about safeguarding sensitive data and ensuring regulatory compliance? We are seeking a dynamic Data Protection Lead to join our Data, Technology & Cyber Risk function and pioneer the Data Protection program across YTL Digital Bank.

Job Description:

The Data Protection Lead will assist the Chief Information Security Officer to establish and maintain robust governance and oversight over data protection. In this role, you will play a pivotal role in shaping the way we handle, govern, and enhance our data assets, and comply with data protection laws and regulations.

Primary Responsibilities:

• Assist with the development, review, update and/or implementation of data protection-related framework, policy, guideline and/or initiative(s) to facilitate effective risk management and governance over data risk and data protection.
• Review and assess the extent of compliance with internal policies, guidelines, data protection laws and regulatory requirements.
• Conduct Privacy Impact Assessments (PIAs) to ensure that Personally Identifiable Information (PII) is appropriately protected, and recommend mitigation actions to address vulnerabilities, if any.
• Advise Business Units and Functional Units to embed data privacy considerations and/or control measures into the design and implementation of new products, services and processes.
• Provide advisory, guidance and challenge to Business Units and Functional Units in their management of data risks to achieve their business objectives and within the organization’s risk appetite.
• Investigate and report on incidents of data breaches or non-compliance, as required.
• Assist with the development and/or review of incident response procedures to address data breach incidents, including notification to internal stakeholders and relevant authorities, as required.
• Work with Senior Management and stakeholders to ensure that the organization has and maintains appropriate data privacy and confidentiality documentation.
• Work with Senior Management and stakeholders to ensure awareness of best practices relating to data privacy and data security, fostering data risk awareness and security-conscious culture.
• Coordinate with the Cyber Security and Technology teams to ensure alignment between cyber security and data privacy practices.
• Establish relevant Key Risk Indicators (KRIs) and metrics to monitor and measure data risk exposures.
• Prepare and present data risk reports to Senior Management and relevant committees, highlighting key findings, recommendations, trends and/or non-compliance with applicable data protection regulations.
• Respond to enquiries and audits (i.e. internal, external, regulatory and relevant authorities) pertaining to data protection.
• Provide regulatory compliance support, guidance and advice to Business Units and Functional Units regarding regulatory changes and updates, where relevant and required.
• Stay abreast of emerging technology trends, data protection laws, and regulatory developments to proactively address potential risks, and assist the Senior Management (and/or Board) understand potential concerns or risks that might impact the organization.

Qualifications:

• Bachelor’s degree in law, Information Technology, Data Science or a related field.
• Minimum of 12 years’ experience in any of these disciplines: data protection, information security, risk management or compliance in related areas.
• Professional certification such as CDPSE, CISSP, CISA, CISM or CRISC would be advantageous.
• Sound knowledge in regulatory requirements around technology risk (e.g. BNM’s Risk Management in Technology, Guidelines on Data Management and MIS Framework) and data protection laws (e.g. PDPA).
• Knowledge of data management principles and concepts would be desirable.
• Possess strong verbal and written communication skills, and capable of engaging senior stakeholders.
• Clear analytical thought process and good understanding of emerging technological developments and risk management frameworks.
• Ability to work independently and manage multiple projects.
• Detail-oriented with a strong sense of ethics and integrity.

Perks & Benefits

• Allowance (transportation, parking etc.)
• Nearby public transport
• Smart casual dress code
• Annual leave, Birthday leave

- 協助生產部門收集資料。

- ⁠輸入Excel檔案並匯出以向生產經理報告。

- 理解如何計算乘積。

• 休閒著裝要求
• 開放文化
• 個人發展機會

In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position includes: 

• Assembling large, complex sets of data that meet non-functional and functional business requirements
• Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, AWS and SQL technologies
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Working with client stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Working with client stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues

Qualitifications:

• Ability to build and optimize data sets, ‘big data’ data pipelines and architectures 
• Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
• Excellent analytic skills associated with working on unstructured datasets
• Ability to build processes that support data transformation, workload management, data structures, dependency and metadata

Perks & Benefits

• Employee equity
• Commission and bonus
• Allowance (travel stipends, transportation, etc.)
• Nearby public transport
• Central location
• Flexible working hours
• Free snacks / Happy hours
• Regular team activities
• Company trips
• Medical insurance
• Personal leave
• Personal development opportunities
• Paid training and development
• Remote work flexibility

職位描述

• 準備庫存木材以供核算。
• 處理與工作相關的管理，如準備採購訂單、交貨單、發票。
• 處理一般管理職責和資料輸入
• 在ERP系統中輸入資料並與生產團隊聯絡以確保輸入正確的資料。
• 從事與木材相關的工作。
• 其他一般性工作。
• 全面負責監控公司產品和系統的品質。
• 擁有木材品質保證控制經驗。

最好是女性

工作時間 : 週一至週六

工作類型：全職

薪資：每月 RM1,800.00 - RM3,500.00

津貼和福利

• 手機報銷
• 免費停車
• 行程
• 日班

除了創建和維護最佳管道架構之外，資料工程師職位的典型職責還包括：

• 組裝滿足非功能性和功能性業務需求的大型複雜資料集
• 識別、設計和實施內部流程改進，包括重新設計基礎設施以提高可擴展性、優化資料交付以及自動化手動流程
• 使用 Azure、AWS 和 SQL 技術建立所需的基礎設施，以最佳化從各種資料來源擷取、轉換和載入數據
• 建立分析工具來利用數據管道，提供關鍵業務績效指標（包括營運效率和客戶獲取）的可行見解
• 與客戶利害關係人（包括數據、設計、產品和執行團隊）合作，協助他們解決與數據相關的技術問題
• 與客戶利害關係人（包括執行團隊、產品團隊、數據團隊和設計團隊）合作，支援他們的數據基礎設施需求，同時協助解決與數據相關的技術問題

資質：

• 能夠建構和優化資料集、「大數據」資料管道和架構
• 能夠對外部和內部流程和數據進行根本原因分析，以確定改進機會並回答問題
• 與處理非結構化資料集相關的出色分析技能
• 能夠建構支援資料轉換、工作負載管理、資料結構、依賴關係和元資料的流程

津貼和福利

• 員工股權
• 佣金和獎金
• 津貼（旅費、交通費等）
• 附近的公共交通
• 中心位置
• 彈性的工作時間
• 免費小吃/歡樂時光
• 定期團隊活動
• 公司旅行
• 醫療保險
• 事假
• 個人發展機會
• 有薪培訓和發展
• 遠距工作彈性

Overall Job Function

To develop new business opportunities and secure the maximum business potential from the

corporate and government segments to achieve the set sales targets

Responsibilities

• To develop close business relationship with existing business partner and system intergrators and resellers through regular visits and liaision
• To increase customer base by prospecting and creating new opportunities
• To prepare presentation materials and conduct presentation to new and existing corporate and government customers and system intergrators on product range and new products.
• In-charge the sales of printer and consumables.

Requirements

• Minimum diploma / degree
• Preferably 2-3 sales experience
• Fresh graduate are also encourage to apply

Perks & Benefits

• Commission and performance bonus
• Contractual bonus
• Allowance (Handphone, Travelling and etc.)
• Annual health screening
• Medical insurance, personal accident insurance, group term life insurance.
• Season pass provided
• Annual leave, replacement leave, and company leave
• Personal development opportunities
• Central location

Responsible for gathering, processing, and analysing data to transform it into actionable, data-driven insights for decision-making across the organisation. The role also involves identifying data trends and potential areas for operational improvements.

The Data Analyst, reporting to the Director of Strategic Projects, leverages data to drive strategic decision-making and improve business processes. The Data Analyst gather, analyse, and visualise data to provide actionable insights, collaborating with various departments to meet their data needs and ensure data integrity, security, and compliance with applicable regulations.

Perks & Benefits

• Nearby public transport
• Central location
• Medical insurance
• Duty meals
• Uniforms

負責收集、處理和分析數據，將其轉化為可操作的、數據驅動的見解，用於整個組織的決策。該角色還涉及識別數據趨勢和營運改進的潛在領域。

數據分析師向策略專案總監匯報，利用數據推動策略決策並改善業務流程。數據分析師收集、分析和視覺化數據，以提供可行的見解，與各部門合作，滿足他們的數據需求，並確保數據完整性、安全性並遵守適用的法規。

津貼和福利

• 附近的公共交通
• 中心位置
• 醫療保險
• 值班餐
• 制服

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system

整體工作職能

開發新的商業機會並確保最大的商業潛力

企業和政府部門實現既定銷售目標

職責

• 透過定期拜訪和聯絡，與現有業務合作夥伴、系統整合商和經銷商建立密切的業務關係
• 透過探索和創造新機會來增加客戶群
• 準備示範材料並向新的和現有的企業和政府客戶以及系統整合商介紹產品範圍和新產品。
• 負責辦公室印表機、平面印表機等產品的銷售。

要求

• 最低文憑/學位
• 至少 2-3 種銷售經驗
• 也鼓勵應屆畢業生申請

津貼和福利

• 中心位置
• 合約獎金
• 佣金及績效獎金
• 津貼（手機、旅遊等）
• 年度健康檢查
• 醫療保險、人身意外保險、團體定期壽險。
• 提供季票
• 年假、補假、公司假
• 個人發展機會

整體工作職能

開發新的商業機會並確保最大的商業潛力

企業和政府部門實現既定銷售目標

職責

• 透過定期拜訪和聯絡，與現有業務合作夥伴、系統整合商和經銷商建立密切的業務關係
• 透過探索和創造新機會來增加客戶群
• 準備示範材料並向新的和現有的企業和政府客戶以及系統整合商介紹產品範圍和新產品。
• 負責辦公室印表機、平面印表機等產品的銷售。

要求

• 最低文憑/學位
• 至少 2-3 種銷售經驗
• 也鼓勵應屆畢業生申請

津貼和福利

• 中心位置
• 合約獎金
• 佣金及績效獎金
• 津貼（手機、旅遊等）
• 年度健康檢查
• 醫療保險、人身意外保險、團體定期壽險。
• 提供季票
• 年假、補假、公司假
• 個人發展機會

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
• Familiarity with programming languages such as Python or R
• Basic understanding of data analysis and visualisation tools such as Tableau, Power BI, or equivalent
• Knowledge of fundamental machine learning concepts like linear regression, decision trees, random forests, or neural networks
• Strong analytical thinking and problem-solving skills
• Ability to work in a fast-paced, team-oriented environment
• Good communication and collaboration skills

Preferred Skills (but not mandatory)

• Hands-on experience with data projects, internships, or coursework in data science, machine learning, or AI
• Familiarity with big data tools and frameworks like Hadoop, Spark, etc.

Responsibilities

• Assist in analysing large datasets to uncover trends and generate insights
• Contribute to the design and development of machine learning algorithms
• Support the creation of predictive models and perform exploratory data analysis
• Collaborate with cross-functional teams to understand business challenges and help develop data-driven solutions
• Present findings and insights to both technical and non-technical stakeholders
• Stay up-to-date with the latest developments in data science and machine learning, applying new techniques to real-world projects

Perks & Benefits

• Central location
• Easy to commute, surround with public transportation facilities
• Personal development opportunities
• Opportunities to join reward system