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Common mid-level data analyst title, metro location, broad toolset, and known retail brand drive high applicant competition.
Role requires retail merchandising and P&A domain knowledge plus inventory systems, limiting cross-industry transferability.
Mandatory 4+ years retail P&A experience and extensive toolset (SQL, Python, Power BI, MicroStrategy) tighten screening.
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Develop, deliver, and maintain retail and merchandising reports and dashboards using SQL, Tableau, Power BI, and Python to support strategic planning and allocation initiatives.
Collaborate with cross-functional teams and stakeholders to understand business reporting requirements and communicate actionable insights for decision-making.
Leverage AI/ML tools to enhance predictive analytics, automate reporting processes, and optimize business intelligence data availability and report performance.
Minimum 4+ years of experience in Retail and Merchandising reporting.
Proficient in SQL, Tableau, Power BI, Python, Advanced Excel (VBA, Power Query, Power Pivots), and AI/ML tools.
Experience with inventory management systems such as MicroStrategy, JDA, or PIM.
Work Experience Required: 4+ years in Retail and Merchandising reporting.
Experienced in managing reporting platforms and developing performance reports to support retail business planning and allocation.
Comfortable collaborating across multiple levels of management and cross-functional teams including buyers, business analysts, and planners.
Skilled in applying data visualization, statistical analysis, and AI/ML techniques to derive actionable business insights and improve reporting efficiency.