Demand Planner Jobs

Who We Are

Fresh Clean Threads is a San Diego based high-growth startup that delivers on premium men’s basics.Our mission is to empower guys to look and feel their best so they can explore, conquer, and LIVE LIFE TO THE FULLEST. Our brand has grown steadily out of our founder’s home into a thriving e-commerce brand with endless potential. We offer a fun, flexible, and exciting work environment alongside competitive salary and benefits. Our La Jolla office is just minutes to the beach, and our recently opened New York office is on the corner of 29th and Broadway in Manhattan; we can consider candidates able to work in a hybrid capacity in either location.

About the job

Execution:

• Execute descriptive analysis on general trends and seasonality of apparel products
• Analyze and segment products based on demand variables, volume, and other business-related factors
• Communicate abnormalities or changepoints in ongoing product velocity

Thought Leadership:

• Strategize proxy mapping for new and limited time product offerings
• Provide business requirements to build out automated/triggered data pipelines for forecasting capabilities

Collaboration:

• Manage the set business assumptions to run product-level forecasting (assumptions may included and not limited to overall periodic growth, seasonality, cannibalization, halo effects, incrementally, pricing elasticity, etc.)
• Collaborate with cross-functional partners to get alignment on product scope, forecast assumptions, and revenue implications

Competencies needed

Descriptive Analytics Capabilities

• Generate KPI metrics on forecasting at the appropriate level of granularity (e.g. MAPE, MSE across products and categories)
• Work within a distributed data environment to extract, transform and load data for data analysis
• Root cause analysis on trend/seasonality changepoints

Forecasting Capabilities

• Create and/or maintain forecasting model for many different products/categories
• Knowledgeable in foundation forecasting methods, moving average, ARIMA, SARIMA, Holt-Winters, Ensemble Approach
• Experience in proxy forecasting to deal with either incomplete data or unclean data to be able to generate a forecast

Insights Synthesis & Executive Communication

• Highlight the abnormalities in expected demand vs. actual demand and summarize the implications for the business
• Manage executive team expectation on demand as well as the operations and liquidity risk to the current assumptions