Retail Analytics & Markdown Strategy Analyst

Guess Europe Sagl

La Coruña

Presencial

EUR 36.000 - 48.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

International environment
Health programs
Training & Development
Product discounts
Flexible compensation

Descripción de la vacante

Guess Europe Sagl is seeking a skilled Retail Business Analyst to support stakeholders in Retail Planning & Allocation by delivering analyses, insights and actionable recommendations to drive data-driven decisions.

In collaboration with the Markdown and Technologies teams, you will analyze sales trends, identify underperforming items, simulate markdown strategies, and help optimise pricing, margin and inventory through AI-powered tools.

Formación

  • 2-3 years of experience as a Business Analyst or similar role.
  • Experience with BI/reporting tools (PowerBI, Strategy).
  • Fluency in English (written and spoken).
  • Strong communication and data storytelling skills.
  • Ability to mine data and create ad hoc reports and automations.

Responsabilidades

  • Collaborate with Retail Business Analyst team to identify data gaps and opportunities.
  • Provide KPIs, analyses and insights to support decisions.
  • Review and optimize reports for evolving market needs.
  • Drive efficiency through automation in processes and analysis.
  • Support markdown strategies and discount decisions with data and simulations.
  • Collaborate with Technologies teams to ensure data quality and suitable tooling.
  • Contribute to markdown timing and depth using AI-enabled tools.
  • Analyze sell‑through, margins and inventory to maximise performance.

Conocimientos

Data analysis
Insights
Excel VBA
Data viz
Stakeholder comms

Educación

Bachelor's degree in Business Administration

Herramientas

PowerBI
Strategy

Descripción del empleo

Guess Europe Sagl is seeking a skilled Retail Business Analyst to support stakeholders in Retail Planning & Allocation by delivering analyses, insights and actionable recommendations to drive data-driven decisions.

In collaboration with the Markdown and Technologies teams, you will analyze sales trends, identify underperforming items, simulate markdown strategies, and help optimise pricing, margin and inventory through AI-powered tools.

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