Pricing & Inventory Analyst

Summary

BuyWander is rebuilding the retail returns industry by transforming returned goods into a unique shopping experience. The Pricing & Inventory Analyst will manage the pricing pipeline, ensuring data integrity and forecasting revenue while collaborating cross-functionally to optimize operations.

Responsibilities

• Validate inbound manifest data
• Build automated checks on supplier manifests - item counts, UPC/ASIN matching, retail-price reasonableness, category mix - so bad data is caught before it prices a load
• Audit listed pricing at scale
• Develop scripts that reconcile our listed prices against Amazon and other retailer reference prices daily across 10,000+ nightly listings, identifying systematic errors (wrong price basis, stale data, unit-of-measure issues) rather than one-offs
• Build variance reporting
• Stand up dashboards and alerts (we run Metabase) that surface pricing anomalies and recovery-rate outliers by load, source, and market - within hours, not weeks
• Forecast load-level revenue
• Develop expected-revenue models for each truckload based on manifest retail value, source, category mix, and historical recovery curves; track actual versus forecast as the load sells through, so under-performance is visible while we can still act on it
• Partner cross-functionally
• Work with Merchandising on source scorecards and buy decisions, Finance on margin attribution, and Operations on loads whose forecast-to-actual gaps point to processing or inventory-control issues

Skills

• Strong SQL and working proficiency in Python (or similar) for data validation, API integration, and automation
• Fluency with AI tooling as a force multiplier. You use Claude, Cursor, Copilot, or similar to build and iterate on validation logic, reconciliation scripts, and analyses far faster than convention - and you rigorously verify what they produce
• Experience reconciling large, messy third-party datasets - you assume data is wrong until proven right
• Experience with product or pricing data at scale (e-commerce, marketplace, or retail analytics); familiarity with Amazon catalog and pricing data (SP-API, Keepa, or similar) is a strong plus
• Ability to build forecasting models grounded in historical actuals - and to explain variance clearly to non-technical operators
• A bias for automation: currently listing 10K items a night but needing to be prepared to 10X over the next 18 months, anything manual is already broken
• Comfort owning a metric end to end in a fast-moving, ambiguous environment
• Liquidation, reverse-logistics, or auction marketplace experience
• Metabase or comparable BI-tool administration; dbt or similar transformation tooling
• Experience building alerting and monitoring on data pipelines
• A track record of using AI tooling to ship something a team would normally staff - with the receipts to show how you validated it

Qualifications

Must Haves

• Strong SQL and working proficiency in Python (or similar) for data validation, API integration, and automation
• Fluency with AI tooling as a force multiplier. You use Claude, Cursor, Copilot, or similar to build and iterate on validation logic, reconciliation scripts, and analyses far faster than convention - and you rigorously verify what they produce
• Experience reconciling large, messy third-party datasets - you assume data is wrong until proven right
• Experience with product or pricing data at scale (e-commerce, marketplace, or retail analytics); familiarity with Amazon catalog and pricing data (SP-API, Keepa, or similar) is a strong plus
• Ability to build forecasting models grounded in historical actuals - and to explain variance clearly to non-technical operators
• A bias for automation: currently listing 10K items a night but needing to be prepared to 10X over the next 18 months, anything manual is already broken
• Comfort owning a metric end to end in a fast-moving, ambiguous environment

Nice to Haves

• Liquidation, reverse-logistics, or auction marketplace experience
• Metabase or comparable BI-tool administration; dbt or similar transformation tooling
• Experience building alerting and monitoring on data pipelines
• A track record of using AI tooling to ship something a team would normally staff - with the receipts to show how you validated it

Benefits

• Paid vacation, sick & holidays
• Health, dental & vision
• 401(k)