Data Analyst Lead

Roth Industries, LLC•Colorado Springs, CO

8d•$75,000 - $81,000•Onsite

About The Position

The Data Analyst supports the organization by analyzing sales data, identifying trends, and developing reports that help leadership make informed business decisions. This role focuses primarily on sales and operational data analysis, helping the company better understand order patterns, customer demand, and future business needs. In addition to data analytics responsibilities, the role may also assist with basic inventory tracking and coordination to help ensure inventory levels align with customer orders and production needs. This position works collaboratively with teams across sales, operations, procurement, and warehouse functions to support efficient order fulfillment and operational planning.

Requirements

Bachelor’s Degree in Data Analytics, Supply Chain Management, Business Analytics, Operations Management, or Industrial Engineering.
2-4 years of experience in data analysis, business analytics or operational reporting.
Strong proficiency in Microsoft Excel (pivot tables, data analysis)
Familiarity with ERP systems (NetSuite or similar)
Strong analytical and problem-solving skills

Nice To Haves

Relevant industry experience in food manufacturing, CPG, or logistics environments preferred but not required.
Experience with data visualization tools such as Power BI or Tableau is a plus

Responsibilities

Analyze sales orders, historical sales data, and customer demand trends.
Identify patterns, seasonality, and emerging trends that may impact future orders.
Develop and maintain reports and dashboards to provide visibility into sales performance and order activity.
Provide data driven insights to leadership to support strategic planning and operational decisions.
Evaluate order trends and customer demand patterns to inform planning and forecasting activities using available data.
Monitor changes in order volumes and highlight potential opportunities or risks or shifts in demand.
Monitor and analyze inventory trends to ensure alignment between inventory levels, sales demand, and production requirements.
Identify potential inventory shortages or inefficiencies and recommend appropriate adjustments in coordination with operations.
Exercise independent judgment in analyzing data and turn findings into practical business recommendations.
Identify opportunities to streamline data collection, reporting workflows, and analysis methods.