Merchandising & Marketing Analytics Manager

• Location 7478 Commerce Court,Helena, MT, 59602,United States
• Base Pay $ - $ / Year
• Other Compensation Office Bonus
• Job Category Analytics
• Employee Type Exempt
• Required Degree High school
• Manage Others No

Who We Are: Bloom Montana is the leading provider of high-quality cannabis products in Montana. We are committed to delivering exceptional products and services to our customers while maintaining compliance with state regulations.

Bloom Montana is seeking a results-minded analytics professional who can turn product, customer, marketing, and market data into practical recommendations and measurable business results. This is not a traditional reporting position. The Merchandising & Marketing Analytics Manager will be expected to determine what the data means, explain why it matters, recommend what the business should do next, and measure whether those actions produced the intended result.

Working across Merchandising, Marketing, Inventory Planning, and Retail Operations, this position will identify opportunities, build business cases, influence decisions, support execution, and evaluate outcomes. The ideal candidate combines strong technical and analytical capabilities with commercial judgment, curiosity, and an understanding of retail customer behavior.

Success requires someone who is comfortable working with SQL, Excel, Power BI, or similar tools but who understands that analysis is only valuable when it leads to better decisions and improved performance.

• Analyze product promotions to identify assortment, pricing, inventory, and margin opportunities.
• Partner with merchandising to develop data-driven strategies for product selection, pricing, promotions, and planograms
• Recommend specific actions based on analytical findings and work with business partners to support their implementation.
• Measure the results of merchandising actions and initiatives, including changes to assortment, pricing, promotions, placement, and inventory allocation to make impactful recommendations to the CMMO and the business.
• Collaborate with inventory planning and retail teams to align stock levels, replenishment cycles, and space planning with anticipated customer demand.
• Conduct competitive and market analysis to identify emerging product trends, assortment gaps, and pricing opportunities.
• Through analysis, ensure the impact of all Merchandising decisions, and subsequent actions are taken.

• Analyze customer purchasing behavior to identify meaningful segments, preferences, shopping patterns, and opportunities to improve engagement, sales, and company profits.
• Translate customer insights into recommendations/actions/implementation for targeting, promotions, product offerings, and customer communications.
• Conduct pre-campaign analysis to define the target audience, business opportunity, expected outcomes, requirements for success, and measures of success.
• Perform post-campaign analysis to evaluate incremental sales, margin, customer response, return on investment, and overall effectiveness.
• Develop recommendations from campaign results and work with business partners to apply those learnings to future initiatives.
• Play a role in development and coordination of marketing/creative collateral, and executive initiatives and actions.
• Through analysis, ensure the impact of all Marketing decisions, and subsequent actions are taken.

• Extract and/or combine, and analyze data from multiple sources using SQL, Excel, Power BI, or similar tools.
• Translate business questions into clear analyses, practical recommendations, and measurable action plans.
• Establish baseline performance and success measures for key initiatives, then monitor, report, and action on results.
• Develop forecasts, business cases, and scenario analyses to support product launches, decisions, and initiatives.
• Ensure the accuracy, consistency, and integrity of reporting data in partnership with other data owners.
• Improve the accessibility and usefulness of business reporting
• Identify gaps in available data and reporting capabilities and recommend practical solutions.
• Distinguish meaningful trends and business drivers from short-term fluctuations or incomplete data.
• Clearly communicate analytical findings, implications, and recommended actions to operators and senior leaders.
• Balance analytical depth with speed, recognizing when the business needs a directional recommendation rather than a perfect answer.