Retail Analyst

About the Role

As a Data Analyst in the retail sector, you play a key role in analyzing, structuring, and interpreting sales, customer, and performance data. Through your data‑driven insights, you create transparency, support both strategic and operational decision‑making, and make a significant contribution to increasing revenue, profitability, and delivering an outstanding customer experience.

• Analyze retail, sales, and performance data (e.g. sell‑out, space productivity, promotions, sell‑in/ sell‑out)
• Develop and maintain dashboards, reports, and KPI frameworks across store, chain, and market levels
• Prepare billing analyses and revenue evaluations on chain level, including variance and performance analyses
• Monitor Joint Business Plans (JBPs), focusing on measuring and evaluating the success of marketing and commercial agreements
• Conduct sell‑out analyses for specialty retail, including performance assessments of individual accounts and initiatives
• Perform payroll analyses to support and validate payroll runs, including cost and variance analyses
• Further develop and maintain Top Door Tracker to identify and manage the highest‑performing and strategically most important stores
• Analyze and track expert sales performance, including benchmarking and identification of best practices
• Derive clear, actionable recommendations to optimize assortment, placement, promotions, and staffing
• Support forecasting, budget planning, and ongoing performance tracking
• Collaborate closely with Field Teams, Key Account Management, Marketing, Finance, and HR
• Ensure high data quality, consistency, and transparency
• Perform ad‑hoc analyses to support management and strategic decision‑making

• Completed degree in Business Administration, Statistics, Mathematics, Data Science, or a comparable field
• Several years of experience as a Data Analyst, ideally within retail, sales, or FMCG environments
• Strong analytical mindset and high affinity for numbers
• Experience with BI and analytics tools (e.g. Power BI, Tableau, SQL, Excel)
• Solid knowledge of KPI development, data visualization, and data storytelling
• Structured, independent, and solution‑oriented working style
• Strong communication skills and the ability to translate complex data into clear insights
• Very good written and spoken German and English skills

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Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or any other dimension of diversity.