Your Responsibilities

Work closely with cross-functional teams (Commercial, Pricing, Tech&Product, Country Leads, Marketing etc.) to gather business requirements and translate them into BI solutions.

• Develop, own and further enhance reports, dashboards, and data visualizations to communicate key insights and performance metrics.
• Analyse large datasets to identify trends, patterns, and opportunities for optimization. Utilize statistical modelling methods to assess the potential impact of pricing strategies on profitability, marketing spent, replenishment or other commercial projects.
• Analyse data from diverse sources to gain insights into commercial strategies and market trends.
• Optimization and ongoing development of our BI landscape, systems and tools.
• Ensuring scalable data architecture, data integration and data processing.

You've got

• Minimum of 4 years of hands-on experience in Business Analytics, Data Analytics, ideally in commercial strategies.
• Strong educational or practical background in Data Analytics, Data Science, Mathematics, Statistics, Finance, Economics, or a related field.
• Advanced level of proficiency in exploratory data analysis, and drive “so what” and business impact from data-driven insights
• Expert-level proficiency in Power BI, including DAX, data modeling, and creating interactive dashboards and reports.
• Strong knowledge of coding languages such as SQL, Python, or R, along with relevant frameworks.
• Good knowledge in common business intelligence software
• Experience working with structured and unstructured data, preferably on cloud-based data platforms.
• In-depth understanding of Pricing, Commercial, and E-commerce relevant KPIs and metrics, ideally within the e-commerce and retail/wholesale industry.
• Exceptional attention to detail and accuracy.
• Proactive, open-minded, and motivated mindset.
• Excellent communication skills with the ability to pitch ideas and effectively communicate insights to diverse audiences.
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