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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.
KeyResponsibilities
Analyze retail, sales, and performance data (e.g.sell‑out, space productivity, promotions,sell‑in/ sell‑out)
Develop andmaintaindashboards, 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), with a strong focus 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 andvalidatepayroll runs, including cost and variance analyses
Further develop andmaintaina Top Door Tracker toidentifyand 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 tooptimizeassortment, placement, promotions, and staffing
Support forecasting, budget planning, and ongoing performance tracking
Collaborate closelywith 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
YourProfile
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 communicationskills and the ability to translate complex data into clear insights
Very goodwritten and spoken German and English skills
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