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Miss Blue
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Data & Analytics Engineer

Turn delivery, response, and revenue signals into trustworthy insights for customers and the product team.

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What you’ll do

Own the work from problem to production.

  • Design trustworthy models for delivery, response, conversion, and revenue attribution.
  • Build maintainable pipelines and customer-facing reporting foundations.
  • Define metrics, experiments, and data-quality checks with product and engineering.
  • Create privacy-conscious datasets that avoid unnecessary exposure of conversation content.
  • Help customers and internal teams reason clearly about performance and causality.
What you bring

Judgment, craft, and a bias toward useful.

  • Experience building production analytics pipelines and well-defined data models.
  • Strong SQL and proficiency with a modern data-processing language or framework.
  • A rigorous understanding of experimentation, attribution, and misleading metrics.
  • Ability to explain complex findings to technical and non-technical partners.
Helpful, not required

Experience that can help you move faster.

Product analytics Revenue attribution Privacy engineering Messaging or CRM data
Apply to Miss Blue

Show us what you care about building.

Email a short introduction, your résumé or profile, and links to work you’re proud of. Tell us why this role—and this problem—fits you.

Email careers@missblue.dev