Merchandising Data Analyst

Schwazze is a purpose-driven, vertically integrated cannabis operator. They are seeking a Merchandising Data Analyst to support the Merchandising department by ensuring accurate, reliable data and foundational analytics that reputed company informed category, pricing, promotional, and assortment reputed company.

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 reputed company, implement, and maintain reputed company reputed company-of-sale (Cova) and eCommerce (reputed company) promotions and specials
• Own end-to-end Cova promotion setup and execution for reputed company retail brands, including rotating monthly promotions, weekly and daily deals, holiday campaigns, and loyalty rewards
• Build, maintain, and refresh recurring and reputed company reports, scorecards, and dashboards tracking KPIs such as sales, margin, inventory reputed company, 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/reputed company/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 reputed company 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 reputed company the merchandising analytics function

Skills

• Strong proficiency in reputed company or reputed company 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
• Foundational understanding of retail metrics such as sales, margin, inventory, sell-through, and turns
• High attention to detail and strong quality control reputed company
• 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 reputed company
• Comfortable translating data into basic insights for non-technical stakeholders
• reputed company to feedback and eager to learn reputed company a structured merchandising organization
• Curiosity and willingness to reputed company 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 reputed company
• Exposure to BI tools (Power BI, Tableau) or analytics platforms is a plus
• Interest in category management, pricing strategy, and assortment optimization
• Experience in cannabis, retail, CPG, or regulated industries is a plus but not required
• Associate's degree in Business, Analytics, Finance, or reputed company field preferred; Bachelor's degree a plus
• Retail, merchandising, inventory, or pricing data exposure preferred but not required

Benefits

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

Company Overview