Senior Product Analyst

Why You Belong Here

At Victoria’s Secret & Co, you’ll join a world-leading specialty retail brand recognized globally for innovation and excellence in lingerie and fashion. You’ll work alongside industry leaders to set the standard for what a retail brand can achieve, placing customers at the center of everything we do to create products and experiences that bring them joy.

We believe everyone deserves a place where they truly belong. We celebrate individuality and know that your passion, experience, and unique perspective strengthen our team and business. Here, you’ll be empowered to perform, grow, and engage through unmatched opportunities to develop your skills, gain real-world experience, and learn from the best in the business.

YOUR ROLE

The Senior Product Analyst partners with Product Owners, business stakeholders, and technology teams to drive data-informed decisions throughout the product lifecycle. This role is responsible for translating business needs into actionable insights, defining and measuring product success, identifying opportunities for optimization, and ensuring product decisions align with customer needs and strategic organizational objectives.

The Senior Product Analyst serves as a strategic thought partner who combines analytical expertise, business acumen, and product knowledge to deliver measurable outcomes.

YOUR IMPACT

Product Analytics & Insights

• Define, track, and analyze key product performance indicators (KPIs), objectives, and outcomes.
• Develop actionable insights from customer, operational, and business data.
• Identify trends, opportunities, and risks that influence product strategy and roadmap priorities.
• Design and execute analysis that supports product discovery, delivery, and optimization efforts.
• Translate complex data into clear business recommendations.

Customer & User Understanding

• Help identify customer pain points, needs, and behaviors.
• Support the development of user journeys and measurement frameworks.
• Advocate for customer-centric decision making.

Product Performance Measurement

• Establish success metrics for new capabilities and enhancements.
• Create dashboards and reporting mechanisms to monitor product health.
• Measure business impact of released features and initiatives.
• Conduct post-launch analysis and recommend iterative improvements.

Business Analysis & Requirements

• Gather, document, and refine business requirements.
• Translate stakeholder needs into user stories, functional requirements, and acceptance criteria.
• Facilitate discussions between business, technical and vendor teams to ensure shared understanding.
• Support prioritization decisions with data and business value assessments.

Strategic Thinking

• Contribute and define product vision and build strategic roadmap objectives to deliver on path to potential
• Connect day-to-day analysis to broader product and business objectives.
• Evaluate market, industry, and operational trends that impact product direction.
• Influence decision-making through evidence-based insights.

Data & Technology Fluency

• Demonstrate proficiency in analytics tools, reporting platforms, and data visualization techniques.
• Understand data structures, integrations, APIs, and system dependencies relevant to product performance.
• Partner with engineering and data teams to ensure data quality and measurement accuracy.
• Apply experimentation and testing methodologies where appropriate.

Collaboration & Communication

• Communicate findings and recommendations to technical and non-technical audiences.
• Build effective relationships across Product, Technology, Operations, and Business teams.
• Facilitate workshops, requirement sessions, and stakeholder reviews.
• Present clear summaries of insights, trade-offs, and recommendations to leadership.

Delivery & Continuous Improvement

• Participate actively in Agile product development practices.
• Support backlog refinement, planning, and prioritization activities.
• Identify opportunities to improve product processes, workflows, and measurement capabilities.
• Promote continuous learning and data-driven culture within product teams.

Domain Expertise – Order Management & Returns Processing

• Deep hands-on experience with Order Management Systems (OMS), including:

o   Order capture, orchestration, fulfillment, and exception handling

o   Experience with OMS-driven omnichannel capabilities:

o   BOPIS / Pickup

o   Ship-from-Store

o   Returns processing

o   inventory management principles, and modern fulfillment processes.

·       Define, track, and analyze key performance metrics related to order accuracy, fulfillment speed, inventory visibility, and customer satisfaction.

·       Analyze end-to-end order management, fulfillment, and return workflows to identify friction points, cost savings, and opportunities for experience optimization.

·       Leverage real-time order and inventory data to generate actionable insights that drive channel growth and operational efficiency.

·       Conduct user testing, validate post-launch feature performance, and iterate based on quantitative data and qualitative feedback.

Click here for benefit details related to this position.

VS&Co provides a range of compensation for this role as shown. Your actual salary will be determined by a number of factors, including: your specific skills and experience, geographic region, or other relevant factors.

YOUR EXPERIENCE

Required 

• Bachelor's degree in Business, Analytics, Information Systems, Marketing, Computer Science, or related field.
• 5+ years of experience in Product Analysis, Business Analysis, Product Management, Digital Product, or related disciplines.
• Experience working within Agile product development environments.
• Strong analytical and problem-solving skills.

Preferred 

• Experience supporting both digital and store-connected journeys.
• Experience using generative AI solutions such as Microsoft Copilot, ChatGPT Enterprise, Claude, or similar technologies to support business analysis, product ownership, and Agile delivery activities.
• Experience with data visualization and analytics platforms.
• Knowledge of customer experience, digital product management, and product discovery practices.
• Experience working with cross-functional product teams.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance  

An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual’s race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.