Supply Chain Analyst

Description: Forney Industries is one of America’s longest operating family-owned welding and metal working product companies. Forney is celebrating 93 years in business, and introduced the first publicly available arc welder in the 1940’s. With such a longstanding history, it’s safe to say that Forney Industries has been there for welders and metal workers since the beginning of the trade. Headquarters in Fort Collins, Colorado, the company now offers more than 5,000 products for the automotive, hardware, farm and ranch, and do it yourself markets. Distributing products to all 50 states, Forney has an extensive customer network and is committed to providing the highest standard products and customer service possible. Application Period: Open date: 10/28/2026 Close date: 11/04/2026 Salary Range $62-67K What we offer: employee benefits including 401K and Profit Sharing. Medical, Dental, Vision, Life, and Pet insurance. Flex spending accounts as well as other optional plans. Description The Supply Chain Data & Forecasting Analyst plays a critical role in ensuring operational efficiency and strategic decision-making across the supply chain. This position is responsible for analyzing large datasets, developing and inputting accurate demand forecasts, identifying trends, and supporting cross-functional teams with actionable insights. Knowledge, Skills and Abilities Supply chain principles, including demand planning, inventory management, procurement, and logistics Forecasting methodologies such as time-series analysis, regression models, and statistical modeling ERP and supply chain planning systems (e.g., NetSuite and Stock IQ) Basic understanding of financial impacts related to supply chain decisions Strong analytical and quantitative skills with the ability to interpret complex datasets Proficiency in Excel, business intelligence & data analysis tools (e.g., Power Bi, SQL, Python) Ability to build and maintain forecasting models to translate data into actionable recommendations and identify risks and opportunities within the supply chain Excellent communication skills for presenting insights to technical and non-technical audiences Strong organizational skills with the ability to manage multiple priorities, adapt to changing needs and evolving data sources Problem-solving skills with a focus on root-cause analysis and continuous improvement Collaborate across departments such as operations, procurement, finance, new products, engineering, and sales Industry-specific supply chain considerations (e.g., seasonality, product lifecycle, lead-time variability, supplier constraints) Maintain accuracy and attention to detail in a fast-paced environment Requirements: Responsibilities Develop, maintain, and improve inventory demand forecasting models to support inventory optimization, procurement planning, inventory sizing, and global operations Analyze historical data related to sales, market trends, promotional activity, and external factors to improve forecast accuracy Prepare regular reporting dashboards and KPI summaries for leadership Build and maintain dashboards, scorecards, and automated reporting tools to monitor supply chain KPIs such as forecast accuracy, inventory turns, fill rates, and lead-time performance Collaborate with cross-functional teams to align forecasts with business objectives Monitor forecast accuracy and implement corrective actions to improve performance Collaborate with IT to improve data quality, streamline data flows, and enhance system capabilities Ensure data integrity by validating inputs to analyze supply chain data to identify trends, variances, and improvement opportunities Lead SIOP processes with data-driven insights related to sales, inventory, and leadership Conduct scenario modeling to evaluate the impact of supply chain shortages, disruptions, overstock, inventory optimization Provide ad-hoc analysis to support strategic initiatives such as new product launches, supplier trans…

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