Senior Specialist, Sales & Retail Analytics

• Base Pay $85,000.00 - $ / Year

At Indian Motorcycle, we’re redefining what it means to carry forward a legacy. As America’s first motorcycle company, our future depends on how effectively we connect data, retail performance, operational planning, and customer insights to drive smarter business decisions across the organization.

We are seeking a Senior Specialist, Sales & Retail Analytics to support the business through data-driven insights, retail performance analytics, and cross-functional planning support. This role sits at the intersection of Sales, Product, Field Operations, and SIOP (Sales, Inventory & Operations Planning), helping drive alignment between retail trends, dealer performance, inventory visibility, and business strategy.

This is an ideal opportunity for someone who enjoys translating data into action, building reporting tools that improve decision-making, and partnering across teams in a fast-paced and evolving environment.

• Develop and maintain reporting, dashboards, and KPI visibility related to retail sales performance, dealer inventory, stocking levels, and product line trends
• Analyze retail, wholesale, and dealer performance data to identify opportunities, risks, and actionable business insights
• Support forecasting and planning discussions through data analysis and retail trend visibility
• Partner with leadership to improve retail performance tracking and decision-making capabilities

• Support broader SIOP processes through reporting, inventory analysis, retail insights, and demand visibility
• Assist in identifying potential inventory constraints, retail trends, and forecasting shifts that may impact business performance
• Collaborate cross-functionally with Sales, Product, Supply Chain, Marketing, and Operations teams to improve alignment and planning accuracy

• Build and enhance dashboards and reporting tools utilizing Power BI and related analytics platforms
• Work with large datasets across multiple business systems and reporting environments
• Support reporting automation and process improvement initiatives that reduce manual work and improve visibility
• Translate complex datasets into clear and digestible insights for operational and leadership teams

• Serve as a key analytics and operational support partner to the field sales organization
• Support dealer and field sales requests related to retail programs, inventory visibility, and sales performance insights
• Develop tools and resources that enhance field sales effectiveness and decision-making
• Assist with planning and preparation for sales meetings, product launches, and retail initiatives

• Support product launch readiness, including retail reporting, ordering visibility, pricing support, and channel updates
• Contribute to retail and promotional strategy development through data analysis and performance measurement
• Provide field and dealer insights to support tactical marketing and product decisions

• Bachelor’s degree in Business, Analytics, Marketing, Supply Chain, Finance, Information Systems, or related field
• Approximately 3–7 years of experience in sales analytics, business intelligence, retail analytics, sales operations, or related analytical functions
• Advanced experience with Power BI and dashboard/report development
• Experience utilizing SQL, Snowflake, Alteryx, or similar querying and analytics tools
• Strong analytical, problem-solving, and critical-thinking capabilities
• Ability to organize and interpret large datasets into meaningful business insights
• Strong communication and cross-functional partnership skills
• Comfortable operating in a fast-paced environment with evolving priorities and processes

• Experience supporting SIOP, demand planning, forecasting, or inventory planning processes
• Experience with in manufacturing, consumer products, premium retail, or dealer/distributor-based industries
• Exposure to ERP systems and operational reporting tools
• Appreciation for premium brands, customer experience, and enthusiast-driven markets preferred

• Hybrid role based…