Demand Planning Analyst

A typical week often involves data preparation, model runs, scenario analysis, and the steady analytical work that feeds planner decisions — pulling sales history, scrubbing anomalies, comparing model variants, building what-if scenarios for product launches or promotions. You're often deep in Excel, Python, or planning-tool models with statistical and business judgment both required. Forecast accuracy and analytical turnaround tend to be the measures.

What trips up newer analysts is how often the data tells a different story than the business expects — promotional impacts, cannibalization, and channel shifts hide in the data, and surfacing them takes work. Variance across employers is wide: at large CPG firms planning analytics live in mature tools and processes; at smaller firms you may be building the analytical layer in Excel.

The role tends to suit people who are analytically curious and patient with messy data. APICS CPIM and IBF CPF credentials anchor advancement into senior planner roles. The trade-off is operating downstream of the planner's decisions while the analytical work that informed them tends to be invisible.