Research emerging AI tools and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.
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 provide visibility into project, schedule, material, and financial performance.
Document data definitions so that reported numbers are consiste

Ключевые требования

Research emerging AI tools and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.
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 provide visibility into project, schedule, material, and financial performance.
Document data definitions so that reported numbers are consiste

Вакансии в Wize Solutions

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

Вакансии в Wize Solutions

Открытые роли в этой компании — 1 в каталоге JobMatcher.

Все вакансии компании

About the role

Overview: Wize Solutions, headquartered in Salt Lake City, Utah, is seeking an Associate Data Analyst to join our data analytics and R&D team in Sandy, Utah on a hybrid schedule. You will work directly with our Chief Technology Officer to research, prototype, build, and test AI-powered tools, data solutions, and reporting that improve how our Operations, Sales, and Leadership teams operate.

About The Role

Wize Solutions installs warehouse racking, warehouse automation, and dock and door systems. As we replace spreadsheets and disconnected software with a modern technology platform built around Acumatica, you’ll contribute to projects that unify data, reduce manual reporting, and turn raw data into actionable insights. This is primarily a data analytics and R&D role—not a traditional IT help desk position. You’ll have meaningful ownership over projects and the freedom to propose ideas while working with the CTO to set priorities and approach. The outputs you build may be used by real Wize employees and have a measurable impact on how we operate. What you’ll do:

Research emerging AI tools and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.
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 provide visibility into project, schedule, material, and financial performance.
Document data definitions so that reported numbers are consiste

About the role

Overview: Wize Solutions, headquartered in Salt Lake City, Utah, is seeking an Associate Data Analyst to join our data analytics and R&D team in Sandy, Utah on a hybrid schedule. You will work directly with our Chief Technology Officer to research, prototype, build, and test AI-powered tools, data solutions, and reporting that improve how our Operations, Sales, and Leadership teams operate.

About The Role

Wize Solutions installs warehouse racking, warehouse automation, and dock and door systems. As we replace spreadsheets and disconnected software with a modern technology platform built around Acumatica, you’ll contribute to projects that unify data, reduce manual reporting, and turn raw data into actionable insights. This is primarily a data analytics and R&D role—not a traditional IT help desk position. You’ll have meaningful ownership over projects and the freedom to propose ideas while working with the CTO to set priorities and approach. The outputs you build may be used by real Wize employees and have a measurable impact on how we operate. What you’ll do:

Research emerging AI tools and analytical approaches and prototype them against real problems in Operations, Sales, and Leadership.
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 provide visibility into project, schedule, material, and financial performance.
Document data definitions so that reported numbers are consiste

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