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1 hour ago
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Full time
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πŸ“‹ Description

  • Own end-to-end analytics for prospect scoring, territory, and lead allocation.
  • Design predictive models and evaluate dial strategies to drive revenue growth.
  • Collaborate with sales leadership, operations, and data engineering teams.
  • Translate data into decisions that move the business forward.
  • Present analytics findings to sales executives and operations leaders.
  • Automate repetitive analyses using AI-assisted scripting and workflows.

🎯 Requirements

  • Bachelor's degree in Data Science, Economics, Statistics, Engineering, or related field (Master's preferred).
  • 8+ years of analytical experience in sales analytics, revenue ops, or related area.
  • Strong proficiency in SQL and Python or R.
  • Expertise in data visualization tools: Tableau, Power BI, Looker.
  • Hands-on experience building predictive models for sales workflows.
  • Experience integrating AI tools (Claude, ChatGPT, Gemini, Cursor, Zapier).

🎁 Benefits

  • Full medical, dental, and vision coverage.
  • Flexible vacation policy.
  • Year-end bonus and equity package.
  • 401(k) retirement plan with company match.
  • Pet discount plans.
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