Senior Data Analyst — Data Science Os & Reporting; Vk Capital Ventures

VK Capital Ventures Inc. runs Travel Villa Kitchen — a Houston chef co-op, cooking-class and private-dinner company (plus Six Rows Coffee and Farm2

Chef, our farmer-chef marketplace) — and is building the data team behind the platform. We are Human First service practitioners: healthy communication and people who are happy and emotionally safe in service is how we work. We are hiring a Senior Data Analyst to own the truth: every number our founders, team, and investors see — revenue, pace, pipeline, payroll — comes from one reconciled place, refreshed on cadence, and you are the person who defines what those numbers mean.

• - Own the Data Science OS weekly snapshot and monthly report to the founders — definitions, QA, and the narrative (our automation builds the pipelines; you own what the numbers mean and whether they're right)
• - Set and guard metric definitions across Stripe, Eventbrite, Base
  44, and the finance workbook so every surface shows one number, everywhere
• - Run QA on all reporting before it ships: reconcile to source, catch your own errors before anyone else does
• - Own the survey data pipeline standard:
  Protein Pool household responses cleaned, ZIP-coded, and dashboard-ready
• - Partner with the Data Scientists on the data-quality audit — what's missing, what's duplicated, what gets instrumented next.

• - Senior-level data analysis experience (SQL + spreadsheet mastery; one BI/dashboard tool owned end-to-end)
• - Reconciliation discipline — a track record of catching errors before a boss or a board did
• - Writing clarity: your snapshot is the report, read by founders and investors
• - Experience with messy, real-world small-business or marketplace data
• - Nice to have:
  Stripe/Eventbrite data, Python, nonprofit or grant-reporting data
• - Bilingual English/Spanish a plus.

Full-time, standard business hours, on a weekly snapshot + monthly report cadence.

• - $72,000/yr base
• - Ground-floor seat on a phased, funded platform build-out — your definitions become the company's
• - Work directly with a founder who is a data operator himself
• - A written role SOP and growth path from day one.