Sales Data Analyst

Smith is a global leader in electronic component distribution serving industries including consumer electronics, medical devices, solar, automotive, aerospace, and defense. The Sales Data Analyst will support the Tampa sales organization by building AI-assisted workflows, optimizing data processes, analyzing sales data, and improving sales operations efficiency. The role also involves advanced Excel modeling, cross-team collaboration, and enhancing CRM data quality and reporting systems.

What you'll do:

• AI Workflow Development — Build and refine AI‑powered tools and automations using ChatGPT, Claude, or other LLM platforms to improve sales team efficiency
• Advanced Excel Modeling — Create dashboards, reports, and data models using pivot tables, formulas, macros, and data visualization techniques
• Sales Data Support — Clean, organize, and analyze sales data to support forecasting, pipeline visibility, and performance tracking
• Process Optimization — Identify inefficiencies and propose AI‑ or Excel‑based solutions to streamline workflows
• Cross‑Team Collaboration — Partner with sales representatives and managers to understand data needs and deliver actionable insights
• Tool & System Enhancement — Support improvements to CRM data quality, reporting templates, and internal documentation

What they're looking for:

• Bachelor's degree in Business, Data Analytics, Information Systems, Marketing, or a related field
• Strong proficiency in Excel (pivot tables, VLOOKUP/XLOOKUP, INDEX/MATCH, formulas, charts; macros a plus)
• Experience using AI tools such as ChatGPT, Claude, or similar platforms to automate tasks or build workflows
• High confidence with computers, digital tools, and learning new systems quickly
• Strong analytical thinking and attention to detail
• Ability to communicate clearly with non‑technical stakeholders
• Curiosity, initiative, and willingness to experiment with new technologies
• Exposure to CRM systems (Salesforce, HubSpot, or similar)
• Basic understanding of sales operations or pipeline management