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Data Analyst – E-commerce, Automation & AI (Remote) - Cannabis Brand

Remote · USA Full-time New today

Pay: $20/hour Schedule: Full-Time, Monday–Friday Location: Remote (U.S.-based preferred) About the Role: We’re a growing lifestyle brand in a regulated industry, and we’re looking for a tech-savvy Data Analyst who can own our back-end reporting, automate key processes, and organize operations data across multiple departments — from inventory to sales to facility records. If you're someone who can code inside Google Drive and loves building smarter workflows, this role is for you. Responsibilities:

  • Create, maintain, and improve complex Google Sheets systems with custom formulas and Apps Script automation
  • Manage inventory and facility records across multiple data sources
  • Build automated reports for sales, expenses, and team activity
  • Organize and clean incoming data from e-commerce and retail systems
  • Collaborate with operations and leadership on data-driven decisions
  • Track KPIs across marketing, finance, and logistics

Requirements:

  • Strong skills in Google Workspace (Sheets, Docs, Drive)
  • Proven experience with Google Apps Script or similar automation tools
  • Ability to build dashboards, conditional logic, and dynamic templates
  • Comfort working with data across departments — sales, ops, inventory, finance
  • Highly organized with excellent documentation habits
  • Bonus: Familiarity with Shopify, QuickBooks, or e-commerce analytics

Perks:

  • Remote position
  • Collaborate with a driven, startup-minded team
  • Gain experience working with a tech-forward company in a fast-growing space
  • Opportunity to grow into tech ops, product management, or systems design

To Apply: Please submit your resume and a short video from our website at https://www.oginc.com/careers answering those questions. Please email us your video and resume at [email protected]. Bonus if you can share a sample of an automation, dashboard, or system you’ve built. Job Type: Full-time Pay: $19.00 - $20.00 per hour Expected hours: 40 per week

Compensation

Package:

  • Hourly pay

Schedule:

  • Monday to Friday

Work Location: Remote Apply Job!

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