Senior Analyst, Loss Prevention & Store Operations

Description

At Torrid we're committed to cultivating a welcoming, inclusive and diverse culture driven by a focus on open dialogue, empowerment, recruiting, training, development and retention. We believe inclusion of diverse backgrounds and perspectives is fundamental to our success. 

 The Senior Analyst, Loss Prevention & Store Operations, plays a pivotal role in leveraging data to protect company assets, improve operational efficiency, and support strategic decision-making across the business. This cross-functional position supports the Loss Prevention (LP) function and Store Operations by identifying risk, analyzing trends, managing vendors, and contributing to margin improvement initiatives. 

What You’ll Do: 

• Analyzed and interpreted raw data to identify trends, anomalies, and actionable insights for Loss Prevention (LP) and Store Operations.
• Identified patterns across stores to address issues in merchandise mix, inventory, labor metrics, sales KPIs, and other operational drivers.
• Provided analytics to evaluate and improve operational processes and store compliance.
• Developed and maintained reports, scorecards, and dashboards using Excel, Smartsheet, PowerPoint, Google Analytics, and BI platforms.
• Utilized exception-based reporting to flag risk areas, uncover outliers, and recommend corrective actions.
• Applied predictive modeling and statistical techniques to proactively identify risks and improvement opportunities.
• Presented findings and recommendations to leaders across LP, Operations, Finance, and other departments.
• Supported shrink reduction, process enhancements, and technology rollout initiatives.
• Managed vendor relationships, budgets, purchase orders, and equipment inventory.
• Partnered with cross-functional teams including Inventory Control, Retail Operations, HR, Store Construction, Analytics, and IT to align LP and Ops with business goals.
• Delivered data-driven insights to enhance compliance, while ensuring confidentiality, accuracy, and data integrity.

What You’ll Need: 

• 5+ years’ experience in data analysis or business intelligence within a retail environment.
• Proven ability to support both Loss Prevention (LP) and operational functions.
• Demonstrated leadership, project management, and mentoring skills.
• Proficient in Excel; experienced with SQL, Power BI, Tableau, or similar analytics tools.
• Strong knowledge of retail operational KPIs and financial metrics.
• Experienced with LP tools, including surveillance systems, exception-based reporting, and POS analytics platforms.