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Pricing & Reporting Analyst

Job in Cottonwood Heights, Salt Lake County, Utah, USA
Listing for: Backcountry
Full Time position
Listed on 2026-07-13
Job specializations:
  • Finance & Banking
    Financial Analyst
  • Business
    Financial Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 65000 - 85000 USD Yearly USD 65000.00 85000.00 YEAR
Job Description & How to Apply Below

Adventure is our Culture. Join a team that celebrates a lifestyle as bold as the terrain we love. At Backcountry, we are rooted in adventure, recognition, and wellbeing on and off the mountain. We spotlight employee stories, celebrate milestones, and offer exclusive outdoor perks. Whether you are at HQ, in a retail store, or remote, you will be part of a team that thrives on energy, exploration, and connection.

Reports to: Sr. Pricing Analyst

Location: Cottonwood Heights, Utah (Hybrid - 3x/week in-office)

About the Role

The Merchandise Planning team needs a data-driven analyst to own the day-to-day mechanics of pricing across Backcountry's four banners—competitive pricing audits, markdown execution, MAP/MSRP compliance, and the reporting that powers pricing decisions.

As Pricing & Reporting Analyst
, you will work directly with the Sr. Pricing Analyst to maximize profitability through smart pricing execution. By 6–12 months, you will be running pricing operations independently, regularly making recommendations that move sell-through, margin, or working capital, and serving as the team's go‑to for AI‑augmented workflows.

This is a lean team. You will own a lot, move fast, and make decisions with full end‑to‑end responsibility.

Key Responsibilities
  • Pull pricing, margin, and sales data from the data warehouse for ad hoc analysis
  • Use AI tools (Claude, Claude Code, Copilot, or similar) daily to write formulas, draft SQL, automate repetitive tasks, summarize results, and accelerate your own learning
  • Execute daily, weekly, and seasonal price changes across four banners, ensuring accuracy and on‑time delivery
  • Monitor competitive pricing across key categories and partner brands; surface risks and opportunities to the Sr. Pricing Analyst and Buying teams
  • Track MAP and MSRP compliance across the assortment, flagging and correcting violations in a timely manner
  • Bring analytical judgment to pricing and strategy conversations—surface trends, audit outcomes, flag risks, and recommend pricing actions that improve sell‑through, margin, or working capital
  • Build and maintain pricing reports and dashboards that Planning, Buying, and Marketing teams rely on
  • Document and improve pricing processes—turn one‑off analyses into repeatable AI‑powered workflows
  • Partner with Marketing on promotional pricing setup and post‑promo recaps
  • Maintain a strong feedback loop with the Sr. Pricing Analyst on what is working, what is not, and where to push next
What You'll Do
  • Pull pricing, margin, and sales data from the data warehouse for ad hoc analysis
  • Use AI tools (Claude, Claude Code, Copilot, or similar) daily to write formulas, draft SQL, automate repetitive tasks, summarize results, and accelerate your own learning
  • Execute daily, weekly, and seasonal price changes across four banners, ensuring accuracy and on‑time delivery
  • Monitor competitive pricing across key categories and partner brands; surface risks and opportunities to the Sr. Pricing Analyst and Buying teams
  • Track MAP and MSRP compliance across the assortment, flagging and correcting violations in a timely manner
  • Bring analytical judgment to pricing and strategy conversations—surface trends, audit outcomes, flag risks, and recommend pricing actions that improve sell‑through, margin, or working capital
  • Build and maintain pricing reports and dashboards that Planning, Buying, and Marketing teams rely on
  • Document and improve pricing processes—turn one‑off analyses into repeatable AI‑powered workflows
  • Partner with Marketing on promotional pricing setup and post‑promo recaps
  • Maintain a strong feedback loop with the Sr. Pricing Analyst on what is working, what is not, and where to push next
Required Qualifications
  • 3–5 years of analyst experience, preferably in retail, ecommerce, or a related data‑driven role
  • Demonstrated daily use of AI tools (Claude, ChatGPT, Copilot, Gemini, or similar) for real work—you iterate on prompts, evaluate outputs critically, and know when AI is the right tool versus when it is not
  • High proficiency with Microsoft Excel (pivots, lookups, formulas) and a strong aptitude to learn technical applications quickly
  • Solid understanding of retail math (margin, markdown, sell‑through,…
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