Data Entry Executive

Summary

KD Manufacturers is expanding its operations and has introduced a new role, Data Entry and Analysis Team Member, to strengthen backend support. The resource will work closely with the KD team, managing data entry, maintaining data accuracy, analyzing operational information, and supporting day-to-day backend activities. This role will help streamline workflows, improve data visibility, and enable the team to focus on core business operations and growth.

Key Responsibilities

• Purchase Order Management: Process, verify, and manage purchase orders (POs), sales orders, vendor invoices, and delivery receipts with high accuracy.
• Manufacturing Flow & Data Tracking: Monitor and document the end-to-end flow of manufacturing content, tracking raw material consumption, production stages, and finished goods inventory.
• Data Entry & System Updates: Accurately input and update production data, stock levels, vendor details, and item master lists into the ERP/CRM system or database.
• Document Management: Collect, verify, and maintain purchase requisitions, vendor quotations, invoices, GRNs (Goods Received Notes), and dispatch documents.
• Cross-functional Coordination: Coordinate with the purchase, production, warehouse, and accounts teams to resolve discrepancies in purchase orders, bills, or inventory counts.
• Inventory & Stock Reconciliation: Regularly cross-check physical inventory logs with system data to identify and rectify stock discrepancies or entry errors.
• Reporting & Documentation: Prepare and share daily, weekly, and monthly reports on purchase order statuses, production progress, and inventory levels with management.
• Quality Control & Data Integrity: Perform routine checks on entered data to minimize errors, ensure compliance with company policies, and maintain audit-ready records.
• Communication & Vendor Support: Handle routine queries from internal stakeholders and vendors regarding purchase order statuses, billing, and order processing.
• Process Optimization: Identify bottlenecks in data handling or order processing workflows and suggest improvements for better operational efficiency.