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Salary: USD 93,400 - 120,120 / annual
Vuori, an athletic apparel company blending performance and casual aesthetics, is seeking a Senior Retail Analyst to join its Brick & Mortar stores team. You will provide data-driven insights to retail leaders and support the organization's decision-making across store operations and strategy.
Key responsibilities include:
• Performance Analysis & Reporting: Support recurring and ad hoc business performance reviews; manage and continuously improve processes and methodologies.
• Retail Forecasting: Manage execution of retail store forecasting processes, ensuring accurate data flow across inputs and outputs. Perform ad hoc analyses to continuously improve underlying parameters and assumptions.
• Operational Efficiency & Productivity: Analyze labor, shipments, returns, and other key operational processes. Conduct anomaly detection and identify optimization opportunities.
• Strategic Insights & Recommendations: Provide pre-analysis and actionable insights to senior leadership across product performance, consumer behavior, marketing effectiveness, real estate selection analysis, and pricing strategies.
• Cross-Functional Collaboration: Collaborate closely with Fleet leaders, Real Estate, Finance, Data Engineers, and Analysts to drive impactful business initiatives.
• Measurement & Visualization: Support the definition of success metrics and measurement frameworks for business initiatives. Create intuitive dashboards and visualizations to track performance and outcomes.
• Innovation in Analytics: Champion the adoption of advanced analytical techniques and emerging technologies to enhance business intelligence capabilities and maximize ROI.
This role is ideal for an analyst with a technical and business background who is curious about retail performance and eager to grow analytical and business skills.
REQUIREMENTS:
• 4+ years of experience conducting in-depth business analysis and delivering actionable insights to operational partners and business leaders, preferably within a retail environment.
• Bachelor's degree in business analytics or equivalent years of experience required.
• Advanced Analytics & Modeling Skills: Demonstrated ability to apply advanced analytical techniques, including building and executing machine learning models (e.g., regression models, clustering, decision trees), performing cohort and segmentation analysis, time-series forecasting, experimentation/test analysis, and other quantitative methods.
• Technical proficiency in data extraction and transformation using query and coding languages; experienced in summarizing data through visualization and presentation tools; familiar with data management workflows and collaboration with data engineering and visualization teams.
• Outstanding team player with a strong track record of empathetic collaboration, relationship-building, and constructive engagement with differing viewpoints.
• Naturally curious and committed to continuous learning; actively explores emerging trends, techniques, and use cases in analytics.
• Strong analytical and logical thinking skills; able to define measurement frameworks starting from a business problem.
• Experience in one or more areas of analysis to optimize store workforce planning, inventory, consumer retention/acquisition, journey optimization, marketing ROI, price optimization, or marketing ROI.
• Experience in preparing periodic business reviews and performance assessments, delivering clear hypotheses, insights, and recommendations through presentations and written reports.
• Experience in communicating complex analysis to non-technical stakeholders, translating insights into clear recommendations and explaining underlying drivers.
• Demonstrated ability to influence and collaborate across large, international organizations, preferably within the retail sector.
