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Merchandising Data Analyst

Remote, USA Full-time Posted 2025-11-24

Schwazze is a purpose-driven, vertically integrated cannabis operator focused on creating a leading seed-to-sale company. The Merchandising Data Analyst supports the Merchandising department by ensuring accurate data and analytics to inform category, pricing, and promotional decisions, playing a critical role in maintaining data integrity and supporting reporting across multiple retail banners.


Responsibilities

  • Maintain, validate, and monitor merchandising, pricing, and inventory data across multiple systems and retail banners to ensure accuracy and consistency
  • Support item setup, pricing updates, and category data maintenance, including cost, margin expectations, and item attributes
  • Assist with data migration, cleanup, and system integration efforts, particularly during mergers and acquisitions or system enhancements
  • Identify, research, and resolve data discrepancies, ensuring high-quality inputs for reporting, forecasting, and decision-making
  • Partner with the MDA and merchandising leadership to uphold data governance standards and documentation
  • Partner with Retail Operations, Marketing, Merchandising, and Buying to develop, implement, and maintain all point-of-sale (Cova) and eCommerce (Jane) promotions and specials
  • Own end-to-end Cova promotion setup and execution for all retail brands, including rotating monthly promotions, weekly and daily deals, holiday campaigns, and loyalty rewards
  • Build, maintain, and refresh recurring and ad hoc reports, scorecards, and dashboards tracking KPIs such as sales, margin, inventory levels, sell-through, turns, and promotional performance
  • Support competitive pricing, assortment, and market analysis using internal data and external tools (e.g., BDSA or similar)
  • Conduct foundational sales, margin, inventory, and promotional analyses to identify trends, risks, and opportunities
  • Prepare clear, concise summaries and visualizations that support category strategy discussions, SKU rationalization, and new-item launches
  • Partner with merchandising, category management, operations, and finance teams to support category initiatives and execution
  • Assist in evaluating vendor performance, pricing changes, and cost updates, supporting vendor scorecards and negotiation preparation
  • Contribute to the development and maintenance of assortment frameworks (e.g., Good/Better/Best, tiered pricing), ensuring alignment with merchandising strategy and customer experience
  • Support new product introductions, promotional rollouts, and category resets through accurate data setup and reporting
  • Support the standardization and improvement of reporting processes, templates, and analytical workflows
  • Identify opportunities to improve efficiency, accuracy, and clarity in reporting and data management
  • Assist with adoption of business intelligence tools, analytics platforms, and AI-enabled tools to enhance merchandising insights
  • Document processes and contribute to knowledge sharing within the merchandising analytics function

Skills

  • Strong proficiency in Excel or Google Sheets, including formulas, lookups, basic pivot tables, and data validation
  • Comfort working with large datasets and maintaining high standards of accuracy and consistency
  • Ability to identify data anomalies and follow structured troubleshooting processes
  • High attention to detail and strong quality control mindset
  • Ability to follow defined processes while identifying opportunities for improvement
  • Strong organizational skills with the ability to manage recurring deadlines and multiple priorities
  • Ability to work cross-functionally and respond to data and reporting requests with professionalism and clarity
  • Comfortable translating data into basic insights for non-technical stakeholders
  • Receptive to feedback and eager to learn within a structured merchandising organization
  • Curiosity and willingness to develop deeper analytical and merchandising expertise
  • Adaptability in a fast-paced, evolving, and acquisition-driven environment
  • 1–2 years of experience in a data, reporting, analytics, or administrative support role
  • Ability to obtain and maintain an active Marijuana Enforcement Division (MED) badge in the state of Colorado
  • Exposure to BI tools (Power BI, Tableau) or analytics platforms
  • Foundational understanding of retail metrics such as sales, margin, inventory, sell-through, and turns
  • Interest in category management, pricing strategy, and assortment optimization
  • Experience in cannabis, retail, CPG, or regulated industries
  • Associate's degree in Business, Analytics, Finance, or related field preferred; Bachelor's degree a plus
  • Retail, merchandising, inventory, or pricing data exposure preferred but not required

Benefits

  • Medical/Dental/Vision Insurance
  • Pet Insurance
  • EAP Programs
  • Paid Time Off
  • Paid Parental Leave
  • Employee Discount at all Schwazze Retail locations

Company Overview

  • Schwazze provides consulting services for cannabis growing technologies and methodologies. It was founded in 2012, and is headquartered in Denver, Colorado, USA, with a workforce of 501-1000 employees. Its website is https://www.schwazze.com/home.

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