Financial & Data Analyst

HIRSH INDUSTRIES
-Financial & Data Analyst
Location -West Des Moines, Iowa (on-site only)
Employment -Full-time | Individual contributor | Reports to CFO
Compensation -Base salary + bonus eligiblity + profit sharing Most entry-level finance jobs ask you to report what happened. This one asks you to explain why it happened — and what we should do next. You'll work directly with our CFO and executive team on the questions that move a manufacturing business:
What does this product really cost to make? Why did margin change last quarter? What happens if we raise prices 4%? Where is the market heading? Then you'll help us turn the answers into automated, AI-powered reporting so the next answer comes faster.

Hirsh Industries has been making steel products since 1924, when our roots began as the W.P. Johnson Company. Today we design and manufacture office furniture, filing and storage products, lockers, and related steel goods, with headquarters in West Des Moines, Iowa and a manufacturing operation in Dover, DE and Mexicali, Mexico. We are a hands-on, mid-sized manufacturer — big enough to have complex, interesting problems, and small enough that a strong analyst's work gets seen, used, and acted on by the people who run the company.

• A seat at the table, early. Your analysis goes to the CFO and executive team, not into a queue. You'll present your own work.
• Breadth most analysts wait years for. Cost, pricing, budgeting, market strategy, supply chain, and automation — the exposure of a rotational program in a single role.
• A real AI mandate. We've already connected our core business systems into a single data repository that AI tools can work from. Your job includes figuring out how far we can take that — and you'll be encouraged, not just permitted, to experiment.
• Work you can see. Our products are physical and our plants are real. You'll connect the numbers to the factory floor.

• Explain what drives profit. Build revenue bridges that break performance into price, volume, and mix; run budget-versus-actual variance analysis; and help design the KPI scorecards leadership uses to run the business.
• Figure out what things really cost. Build product cost models, develop time-driven activity-based costing, and separate fixed from variable costs so we understand our operating leverage and true product and customer profitability.
• Shape pricing decisions. Model the margin and volume impact of pricing changes and help the commercial team decide where, when, and how much.
• Build the plan. Support the annual budget, rolling forecasts, and scenario models — with clear, documented assumptions.
• Look outside our walls. Research market size, customer segments, and competitors to inform strategy and growth decisions.
• Help the supply chain run smarter. Partner with our supply chain leader on analytics such as inventory, service levels, and freight when extra analytical horsepower is needed.
• Automate the routine. Convert recurring manual reports into automated, AI-assisted reporting so the team spends its time on judgment, not copy-and-paste — while keeping our data secure and our numbers right.

• First 90 days: You know our data, our products, and our P&L. You own a recurring price / volume / mix bridge and have automated at least one report that used to be built by hand.
• By six months: You've built a product cost model for a major product family and delivered a fixed-versus-variable cost analysis leadership uses in decisions.
• By twelve months: A company KPI scorecard you helped build is part of monthly executive reviews, and you've presented at least one pricing or market analysis to the leadership team.