Create detailed khakas (technical flat sketches) based on designer inputs Illustrate stitching lines, design placements, embellishment locations, & garment construction details Collaborate with designers & pattern masters to ensure accuracy of khakas Annual bonus
Create detailed khakas (technical flat sketches) based on designer inputs Illustrate stitching lines, design placements, embellishment locations, & garment construction details Collaborate with designers & pattern masters to ensure accuracy of khakas Annual bonus
Oversee and manage the end-to-end production process from sampling to final delivery. Like, Receiving Order Finalizing the Fabric Dyeing Embroidery (Machine / Hand) Stitching Finishing Quality Check Packing Delivery Karigar Handling
Job Description: Conduct quality checks on ethnic garments including bridal lehengas, sarees, and kurtis at various production stages. Inspect stitching, embroidery, dyeing, fabric quality, fit, finishing, and embellishments (zari, sequins, beadwork). Identify and report defects in fabric, tailoring, handwork, trims, and surface ornamentation. Ensure garments meet company standards and customer specifications before dispatch. Collaborate with production and Karigar teams to resolve quality issues promptly. Maintain QC reports, rejection logs, and suggest process improvements to reduce errors. Monitor in-line and final inspection processes as per the companys quality control SOPs. Ensure packaging and labeling accuracy for each garment. Work closely with designers and merchandisers for sample approvals and bulk production quality. MS Excel/ Google sheets / Basic computer knowledge Preferred candidate profile Experience with ethnic fashion houses, boutiques, or garment exporters. Background in textile design, fashion technology, or garment manufacturing. Proactive, problem solver & adaptive Flexible with the roles & responsibilities delegated
Job Title: MIS / ERP Data Analyst Industry: Retail Fashion Location: Kolkata_Topsia Job Summary The MIS / ERP Data Analyst will manage, validate, analyze, and automate data flows across retail fashion operations. The role supports Sales, Merchandising, Production and Store Operations through accurate MIS reporting, ERP data management, and process automation. Key Responsibilities Validate, clean, and standardize high-volume data from ERP, POS, Google Sheets, and store logs to ensure accuracy and consistency across retail operations. Analyze business performance metrics including category-wise sales, Stock performance, sell-through, stock ageing, replenishment cycles, material usage, and production timelines. Create dynamic MIS dashboards and reports using Advanced Excel (XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS, PivotTables, Power Pivot). Build automated Excel processes using Macros, VBA, and Power Query for data transformation, Stock-level consolidation, and recurring MIS generation. Prepare Sales, Marketing, Merchandising, Inventory, and Product MIS reports aligned with fashion retail KPIs. Develop and maintain Google Workspace systems (Sheets, Forms, Docs) for store data inputs, production tracking, GRN logs, vendor updates, and product development workflows. Use Google Apps Script to automate activities such as data imports, email alerts, scheduled reporting, and validation checks. Coordinate with Stores, Merchandising, SCM, Production, Finance, and Marketing teams to collect information, resolve discrepancies, and ensure data integrity. Support ERP, including SKU creation, BOM updates, purchase orders, inventory reconciliation, and production tracking. Maintain structured data repositories, documentation, and standardized reporting templates. Required Skills Strong proficiency in Advanced Excel (power formulas, Power Query, Macros/VBA). Expertise in Google Sheets, App Script automation, and Workspace tools. Working knowledge of ERP systems for retail fashion (inventory, merchandising, production, procurement). Attention to detail, data accuracy, and problem-solving capability. Strong communication and cross-functional coordination skills.