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On behalf of our partner—a highly established Asia-Pacific fashion retail group—we are seeking a commercially minded and data-driven Retail Analyst to join their commercial team in Hong Kong. Reporting to the Head of Retail Operations, this role serves as the key analytical engine for driving retail sales growth across physical store networks and digital channels. You will be responsible for sales performance tracking, store traffic and conversion analytics, sales KPI benchmarking, and sales revenue forecasting. If you possess strong expertise in sales analytics, store productivity modeling, and business reporting within the retail sector, this role offers an exceptional platform to directly influence commercial decision-making. Key Responsibilities 1. Retail Sales Performance & Store KPI Analytics Sales KPI Tracking: Monitor, analyze, and report on daily, weekly, and monthly sales performance across direct retail stores and e-commerce platforms against sales targets. Store Productivity Analytics: Evaluate core store performance metrics, including Like-for-Like (LFL) sales growth, Average Transaction Value (ATV), Units Per Transaction (UPT), conversion rates, footfall/traffic trends, and sales per square foot/meter. Sales Variance & Benchmark Analysis: Analyze store-level sales variances, identify top and underperforming stores, and perform cluster benchmarking to provide actionable recommendations to field operations. 2. Commercial Sales Budgeting & Revenue Forecasting Sales Budgeting & Forecasting: Assist in formulating annual sales budgets, seasonal sales targets, and monthly rolling sales forecasts for all retail channels. Promotional & Campaign Sales Impact: Evaluate the sales lift, revenue impact, and customer conversion efficiency of retail promotions, marketing campaigns, and seasonal sales events. Store Network Feasibility: Conduct sales feasibility modeling and sales projection analysis for proposed new store openings, store relocations, and lease renewals. 3. Management Reporting & Executive Dashboards Commercial Review Packs: Prepare weekly/monthly retail sales scorecards, executive performance decks, and operational KPI dashboards for senior management review. Dashboard Automation: Leverage Business Intelligence (BI) tools and advanced Excel modeling to automate daily sales reporting, streamline data workflows, and improve reporting speed and accuracy. 4. Cross-Functional Commercial Support Operations Alignment: Partner closely with Area Managers, Store Managers, and Marketing teams to translate sales data insights into store-level action plans. Data Governance: Maintain accuracy and integrity across retail point-of-sale (POS) data, footfall counter systems, and commercial databases. Candidate Profile & Qualifications Education: Bachelor’s degree in Business Administration, Statistics, Finance, Economics, Data Analytics, or a related discipline. Experience: Minimum 3–5 years of progressive experience in sales analysis, business analytics, or commercial planning, specifically within the fashion retail, FMCG, or multi-channel consumer goods sector . Technical Skills: Advanced data manipulation skills in Excel (complex formulas, dynamic modeling, Pivot Tables). Hands-on experience with BI tools (Power BI or Tableau) and POS/sales reporting databases. Analytical Capability: Sharp commercial intuition with a strong ability to spot sales trends, store abnormalities, and revenue opportunities within raw retail data. Soft Skills: Excellent presentation and communication skills, with a proven ability to translate complex data into clear, actionable commercial stories for retail operations teams. Languages: Proficient in spoken and written English and Chinese (Cantonese and Mandarin).