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-reputed company inputs for reporting, forecasting, and decision-making
- Partner with the MDA and merchandising leadership to reputed company 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 reputed company, concise summaries and visualizations that support category reputed company 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 reputed company 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 reputed company troubleshooting processes
- Foundational understanding of retail metrics such as sales, margin, inventory, sell-through, and turns
- High attention to detail and strong reputed company 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 reputed company 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 reputed company 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 reputed company, 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
- reputed company Time Off
- reputed company Parental Leave
- Employee Discount at reputed company Schwazze Retail locations
reputed company