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the k word pte. ltd. is seeking a data-driven analyst to develop category and product assortment plans using AutoCount, Excel, and Power BI. You will analyse sales, stock, and demand to optimise our product portfolio across showrooms and online platforms.
The role requires hands-on experience with Excel-based models, AutoCount, and Power BI dashboards to monitor KPIs and identify opportunities for improvement in category performance.
Develop category and product assortment plans usingAutoCountand Excel based on demand, sales, product performance and inventory.
Conduct retail market visits, competitor store checks and showroom assortment reviews, and consolidate findings inExcel.
Evaluate potential new products, categories and brands usingExcel-based comparison models covering specifications, pricing, customer fit and competitor offerings.
Review sales, stock levels and inventory movement inAutoCountbefore recommending additions or changes to product assortment across the Teka Experience Centre, reseller showrooms and online platforms.
Extract product sales, stock and inventory movement data fromAutoCountand analyse the information inExcelto assess product performance by category.
Evaluate product and category performance usingAutoCount, Microsoft ExcelandPower BIto identify fast-moving, slow-moving and underperforming products.
Establish and monitor product and category KPIs usingPower BI dashboards, covering product movement, stock productivity and customer demand.
Identify products requiring prioritisation, repositioning or review, usingExcel and Power BI.
Prepare regular product-performance reports usingAutoCount, Excel and Power BIto support product assortment and category decisions.
Extract product sales, stock and inventory movement data fromAutoCountand analyse it inMicrosoft ExcelandPower BIto identify product trends, category performance and customer demand patterns to improve the company’s product portfolio.
DevelopPower BIdashboards to visualise product and category KPIs, stock movement and demand patterns.
UseExcel and Power BIto identify trends, exceptions and performance gaps across products and categories.
Organise and consolidate products, inventory and demand data to support structured product analysis.
Interpret product, category and inventory data fromExcelandPower BIto identify meaningful areas of improvement for increased performance.
Compare results across products, categories, time periods and sales channels to understand performance differences and emerging patterns.
Assess the impact of slow-moving, underperforming and high-demand products on product assortment and category priorities.
Translate findings fromAutoCount, ExcelandPower BIinto recommendations on product assortment, category priorities and product planning.