Associate Data Analyst

Wize Solutions is a company delivering warehouse racking, warehouse automation, and dock and door systems while modernizing its technology platform. The Associate Data Analyst will research and prototype AI-powered tools, consolidate business data, build reporting solutions, investigate data quality issues, and develop automations and applications that improve Operations, Sales, and Leadership processes.

What you'll do:

• Research emerging AI tools, technologies, and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership
• Connect and consolidate data from Acumatica and other business systems into reporting-ready datasets using SQL, APIs, scheduled extracts, and other data movement methods
• Build and maintain dashboards, recurring reports, and self-service views that give Operations, Sales, and Leadership visibility into project, schedule, material, and financial performance
• Document metric and data definitions so that reported numbers are consistent, repeatable, and reconcilable to the source system
• Investigate data quality issues—duplicates, gaps, mismatched identifiers, and manual workarounds—and recommend practical fixes
• Build and test AI-assisted tools and automations designed to eliminate repetitive manual reporting and data entry work
• Use OKRs and other measurable outcomes to evaluate whether the reporting and tools you build are creating business impacts
• Develop scripts, queries, and lightweight applications that improve internal processes and reduce reliance on manual spreadsheets and disconnected systems
• Work with LLM APIs and emerging technologies such as Model Context Protocol (MCP) to explore new ways of connecting AI to business processes and data
• Work directly with the CTO on special R&D projects, presenting findings and recommendations on what works, what doesn’t, and what Wize should consider adopting
• Help troubleshoot and test reports, datasets, and automations to confirm they are accurate, reliable, and working as intended
• Occasionally assist with basic technical support, including laptop setup, software configuration, and general end-user troubleshooting

What they're looking for:

• Currently pursuing a degree in Data Analytics, Information Systems, Computer Science, Statistics, Business Analytics, Finance, or a related field, or equivalent demonstrated experience through personal projects, self-directed learning, previous internships, or other experience
• Working knowledge of SQL, or clearly demonstrated ability to learn it quickly
• Demonstrated ability to write and debug code or scripts in at least one language, such as Python, with the ability and willingness to learn additional languages and tools
• Strong spreadsheet skills, including formulas, pivot tables, and cleaning and structuring imperfect data
• Basic understanding of how business systems store data and how data moves between systems
• Experience with Git or another version control system, or a demonstrated willingness to learn
• Strong problem-solving and analytical skills with the ability to break complex problems into manageable steps
• Strong written and verbal communication skills, including the ability to explain what the data does and does not tell us
• Ability to work independently while knowing when to ask questions or seek guidance
• Must be authorized to work in the United States
• Experience with SQL, Python, R, DAX, Power Query, PowerShell, or Bash
• Experience with Power BI, Tableau, or other business intelligence and data visualization tools

Benefits:

• Hybrid, with regular days at our Sandy, Utah office
• Opportunities to grow