Senior Data Analyst, Inventory Visibility and Controls

Role Overview

• Own and lead the delivery of high-impact, production-ready data products that support enterprise inventory visibility, anomaly detection, and controls across the inventory lifecycle—including complex analyses, scalable dashboards, and executive-level insights—across ongoing and ambiguous, high-stakes problem spaces.
• Translate loosely defined business questions into clear analytical strategies, independently designing end-to-end approaches that identify the right data, methods, trade-offs, and success measures.
• Partner with product, data science, and engineering teams to shape AI-enabled analytics, including anomaly detection, prioritization, and recommendation experiences that support faster, more consistent inventory issue resolution.
• Contribute to human-in-the-loop AI workflows, ensuring analytical logic is explainable, auditable, and aligned with inventory control and financial integrity standards as automation scales.
• Design and maintain trusted analytical assets by driving standards for data modeling, metric definitions, data quality, and governance—ensuring insights are durable, explainable, and aligned to one source of truth.
• Lead analytical storytelling for complex and conflicting findings, connecting data across domains to provide context, highlight risks and opportunities, and influence decisions at multiple leadership levels.
• Anticipate downstream impacts and stakeholder reactions, effectively landing insights that may challenge assumptions while maintaining trust and momentum toward action.
• Mentor and elevate junior analysts, contributing to shared best practices, technical standards, and team learning to raise the quality and consistency of analytical work.
• Continuously identify opportunities to improve analytics tooling, architecture, and processes, with a focus on automation, AI-assisted insights, and scalable self-service experiences that move the organization from reactive reporting to proactive control.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Analytics, Statistics, Computer Science, Economics, Engineering); advanced degree or relevant certification strongly preferred.
• 5+ years of professional experience delivering advanced analytics, data products, and business insights in complex, cross-functional environments.
• Expert-level SQL skills, with experience writing clean, repeatable, production-ready code and operating in production analytics environments including version control, deployment standards, and data quality monitoring.
• Advanced experience acquiring, transforming, joining, and blending data across multiple internal and external sources, with deep understanding of data structures, quality considerations, and trade-offs.
• Expert knowledge of at least one programming language (e.g., Python, R) to support analysis, modeling, automation, and production workflows; working knowledge of additional languages and tools.
• Proven ability to design and execute end-to-end analytical workflows, applying advanced statistical, analytical, and (where applicable) predictive techniques to solve ambiguous business problems.
• Experience designing or supporting automated analytics, monitoring, or alerting solutions, with exposure to AI-assisted or conversational analytics in enterprise self-service or investigation workflows.
• Exceptional analytical storytelling and communication skills, with a track record of influencing decisions by clearly articulating insights, risks, opportunities, and trade-offs to both technical and non-technical audiences.
• Advanced data visualization expertise (e.g., Looker or similar tools), including the ability to design cohesive dashboard suites, elevate visualization standards, and deliver intuitive, self-service experiences at scale.
• Strong business acumen with the ability to deeply understand domain-specific processes, metrics, and systems, and proactively identify where analytics can drive the greatest impact.
• Demonstrated ability to build trusted partnerships with senior stakeholders, operate as a strategic thought partner, and independently drive work forward in highly ambiguous environments.
• Experience with data governance, metric standardization, and production analytics best practices strongly preferred.
• Experience with inventory, merchandising, supply chain, or operational data and KPIs is a plus.

Tech Stack

• Python
• SQL

Benefits

• Medical/Vision, Dental
• Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• This position may be eligible for performance-based incentives/bonuses.
• Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.