Dear Hiring Manager,
I'm writing about the Senior Financial Analyst role on the FP&A team at Warby Parker. I currently own a $180M consumer-goods P&L forecasting model at Harry's — the kind of multi-SKU, multi-region complexity your job description outlines — and I'd welcome the chance to apply that playbook at Warby Parker.
Over the last two years at Harry's, I cut monthly close from seven days to three by replacing manual Excel pulls with SQL-driven data pipelines; built a pricing elasticity analysis across 23 SKUs that supported a 6% price increase holding volume flat and adding $9.2M annualized gross profit; and ran FP&A support on a $48M bolt-on acquisition. I also migrated 14 recurring reports from Excel to Looker + dbt, which freed about 20 analyst-hours per month across the team. I work well when finance and data engineering overlap — which I imagine is useful on a D2C brand with a heavy e-commerce footprint.
Warby Parker's financial profile is an interesting mix of retail unit economics and subscription-ish repeat purchase behavior. I'd love to work on forecasting that captures both, and on pricing analysis in a market where elasticity signals are relatively clean.
Could we set up 30 minutes to walk through your current close process and where you'd like the next hire to add leverage? Happy to share the Harry's close-compression deck as a working example.
Sincerely, Chris Martin
