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Analytics Engineer

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Description

You will help build a modern analytics stack that supports AI-driven self-serve analysis, key-metric tracking, and external customer reporting. You will develop product analytics for new offerings, identify cost-saving opportunities, write operational data pipelines, and create foundational datasets for product, financial, and marketing questions.

Responsibilities

  • Build a modern analytics stack for self-serve analysis, metric tracking, and customer reporting
  • Develop product analytics tracking for new products
  • Identify cost savings and optimization opportunities across tools and financial operations
  • Write data pipelines for business operations, including cloud compute economics and sales compensation
  • Create foundational datasets for product use cases, financial reporting, and marketing campaigns

Requirements

  • Fluency in SQL
  • Proficiency in Python
  • Professional experience with at least two of Snowflake, dbt, dlt, Modal, Hex, or Posthog
  • Ability to translate data reporting into action and impact
  • High attention to detail
  • Excellent, precise communication skills
  • Relationship-building skills

Skills

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See also

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