BizOps Data Analyst (AI Research)

Grandview Analytics is hiring a BizOps Data Analyst to build and operate an AI-assisted research engine for identifying and prioritizing brands. The role estimates brand savings, verifies marketplace data, maintains outreach dashboards, and supports client analysis and competitive benchmarking.

Responsibilities:

• Build and maintain our brand universe: 250+ D2C brands in our categories selling on Seller Central, with estimated Amazon revenue, catalog size, category and fulfillment model
• Design AI-assisted research pipelines (LLM agents, APIs, marketplace data tools) that collect and structure brand and catalog data at scale
• Run Grandview's savings estimate for every brand, rank brands into tiers, and refresh the rankings monthly
• Verify the work. Spot-check output against source data so every number traces back to where it came from
• Research decision-makers for top-tier brands: who owns Amazon, who leads finance, recent funding, open roles and news that give outreach a reason to write
• Keep pipeline dashboards current: brands researched, qualified, contacted, and replies by tier and channel
• Automate every repeatable step and document it so it runs without you
• Support live clients: analyze Seller Central data (with the brand's permission) to measure monthly savings
• Develop brand ASIN matrixes that help brands benchmark the competition, grow their market and make data-driven decisions

Requirements:

• 2–5 years in data analysis, business operations or ecommerce analytics
• Strong SQL and Python (pandas), plus spreadsheet modeling you'd be proud to hand a CFO
• Hands-on experience using LLMs such as Claude or ChatGPT for research and data extraction: prompting, agents, structured output, and checking results against ground truth
• Working knowledge of Amazon marketplace data: Seller Central reports, Brand Analytics, and tools like Helium 10 and SmartScout
• Comfort with unit economics
• You can read a P&L and explain where margin goes
• A skeptic's habits
• You treat AI output as a draft until it's verified
• Clear, short writing
• Your findings fit on one page
• Experience at a CPG brand, Amazon agency or marketplace analytics company
• Familiarity with functional nutrition, supplements, beauty or household categories
• ETL and workflow tools (Airflow, n8n, Zapier) and a BI tool for dashboards
• Startup experience: you've built something from a blank page