{"id":1297269,"url":"https://alion.io/job/buywander-pricing-inventory-analyst","title":"Pricing & Inventory Analyst","company":{"id":3792376,"name":"Buywander","domain":"buywander.com","url":"https://alion.io/company/buywander","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Administrative","role_family":"Administrative","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":60000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Metabase","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true}],"status":"live","first_seen_at":"2026-09-19T17:17:35Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-01T07:17:05Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Description\nPricing & Inventory Analyst\nDepartment: Merchandising\nReports to: VP of Merchandising\nLocation: Seattle / Remote\nType: Full-time\nAbout BuyWander\nBuyWander is rebuilding the $850B retail returns industry. We take chaotic truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and in-store pickup.\nThe Role\nEvery night we list thousands of items whose retail reference price drives our recovery rates, our margins, and our customers' trust. You'll own the integrity of that pricing pipeline end to end: validating the manifest data we receive from suppliers, verifying what actually posts to the site, and forecasting what each truckload should earn - then flagging fast when reality diverges. You'll be the person who catches a mispriced load before it costs us margin, not after.\nThis is a high-leverage, build-it-yourself role. We expect you to use modern AI tooling to work like a larger team - and to bring the discipline to verify everything it produces.\nWhat You'll Do\nValidate 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.\nAudit 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.\nBuild 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.\nForecast 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.\nPartner 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.\nRequirements\nWhat You'll Bring\nStrong SQL and working proficiency in Python (or similar) for data validation, API integration, and automation.\nFluency 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. In a role built on catching bad data, that skepticism has to extend to your own tools: a validation script that is subtly wrong is worse than none at all.\nExperience reconciling large, messy third-party datasets - you assume data is wrong until proven right.\nExperience 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.\nAbility to build forecasting models grounded in historical actuals - and to explain variance clearly to non-technical operators\nA 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.\nComfort owning a metric end to end in a fast-moving, ambiguous environment.\nMust reside and work in the United States and be legally authorized to work in the U.S. without current or future employer sponsorship. \nNice to Have\nLiquidation, reverse-logistics, or auction marketplace experience\nMetabase or comparable BI-tool administration; dbt or similar transformation tooling\nExperience building alerting and monitoring on data pipelines\nA track record of using AI tooling to ship something a team would normally staff - with the receipts to show how you validated it\nSuccess in This Role\n100% of inbound manifests validated within 24 hours of receipt\nListed-price error rate measured, baselined, and driven toward zero - with root causes fixed upstream\nEvery load carries an expected-revenue forecast at listing, with forecast accuracy improving quarter over quarter\nVariance alerts that give Merchandising and Operations days of reaction time instead of a post-mortem\nPhysical Requirements\nThis is primarily a desk-based analytical role. It includes periodic time on the store floor to observe processing and inventory flow, and occasional travel to our markets.\nPosition requires seeing, hearing, use of hands and fingers, sitting, standing, walking, reaching, twisting, turning, kneeling, bending, squatting and stooping in the performance of daily activities.\nMust be able to communicate with others including talking, hearing, and listening and exchanging communication.\nAbility to work at a fast pace in a goal-driven environment.\nReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nSchedule and Benefits\nSalary: $60,000-$70,000 DOE\nPaid vacation, sick & holidays\nHealth, dental & vision\n401(k)\nTo Apply: Interested candidates should submit their resume to .\nBuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.","description_format":"text","description_chars":5485,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Auctions"],"lifecycle":[{"event":"open","at":"2026-09-26T10:03:12Z"}],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.709,"p_room":1,"age_days":11,"expected_fill_days":96,"reasons":["conf:9","wave","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":60000,"is_top_pay":false},"html_url":"https://alion.io/job/buywander-pricing-inventory-analyst","json_url":"https://alion.io/job/buywander-pricing-inventory-analyst.json","meta":{"generated_at":"2026-10-02T03:30:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4916,"day_limit":5000,"remaining_today":84,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}