Data Analyst

Founding Data Analyst — Storefront

New York City

Pay: Salary + equity (DOE)

About Storefront

Storefront is a live shopping app for premium and off-price fashion, launching mid-2026. We're building the place where the best sellers in fashion go live to move serious inventory, and we're doing it on top of a sourcing network that's taken our team years to build. The founding team includes the largest fashion seller on Whatnot, a CTO who's done this three times before, and operators who've spent their careers in wholesale and off-price.

We're in the middle of our seed raise and heading toward launch. This is a founding hire.

The Role

The first half is internal. Once we're live, someone needs to actually know what's going on inside the marketplace at any given moment — who's buying, who's selling, what's converting, what's retaining, which events make money and which don't, where we have leverage and where we don't. You'll build the analytics stack from scratch, decide what we measure and how, and turn the data into something the founding team can run the company on.

The second half is external. Our credibility in fashion depends on understanding this industry better than anyone else trying to build in live commerce. You'll spend real time on the outside world too — brand sales, off-price dynamics, inventory cycles, what's happening to specific labels, where categories are shifting. Some of that work stays internal and shapes strategy. A lot of it gets published, in one form or another, and becomes the thing that makes us the source other people quote.

We want one person doing both because they feed each other. The inside data tells us what's working. The outside data tells us why, and what to do next.

What You'll Be Doing

Standing up our analytics infrastructure — event tracking, warehouse, BI layer. You pick the tools. Defining the KPIs we care about (GMV, take rate, buyer LTV, seller productivity, cohort retention, event economics) and owning them after that. Running the weekly business review. Digging in when something in the numbers doesn't look right.

On the research side, you'll be writing brand health analyses, off-price market reports, category trend pieces, competitive teardowns — sometimes on your own initiative, sometimes because marketing or sales needs something specific. When the data you need isn't sitting somewhere clean, you'll go build the pipeline to get it. We already run scraping and enrichment infrastructure in Python, Supabase, Outscraper, and Brandfetch, so a lot of the plumbing is in place.

Across all of it, you become the person who remembers what the data said the last time we asked.

Who You Are

Past experience in analytics, BI, data science, or quant research, ideally with some marketplace, e-commerce, or retail in your background. Strong SQL and Python. Real ownership over your work and ability matters more than years of experience.

You're curious about this industry. The people who do well in this role read earnings transcripts, can tell you why TJX is such a good business, and notice things about how brands behave. If you're not quite there yet but you're the kind of person who gets there fast, that works.

You can write. A lot of this job is turning numbers into something people actually want to read — for us, for investors, for marketing, for the public. A dashboard nobody opens isn't enough.

You're fine without a playbook. There's no data team to join. You're building it.

Helpful but not required: live or social commerce, off-price or wholesale retail, serious scraping experience, financial modeling, or any kind of published research or data journalism.

Pay: $8,000.00 - $10,000.00 per month

Work Location: In person