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Rent the Runway Logo

Senior Data Analyst (NYC)

Rent the Runway

$140,000 - $175,000
Dec 18, 2025
New York, NY, US
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Rent the Runway is looking for a Senior Data Analyst to lead high-impact analytics initiatives and manage key data models that describe their customers and business, enabling functional leaders to make data-driven decisions and drive continuous improvement.

Requirements

  • Highly proficient in SQL, with the ability to write efficient, optimized queries for large-scale datasets.
  • Experience building and maintaining dashboards in Looker or similar BI tools.
  • Demonstrated experience with data modeling, dimensional modeling, and dbt.
  • Experience with code management and deployment on GitHub.
  • Experience working with event data or user/product analytics tools (e.g., Heap) is a plus.

Responsibilities

  • Develop scalable, reusable, and well-documented data models that power dashboards, reports, and analysis across the organization.
  • Collaborate closely with Data Engineering to design, optimize, and maintain data pipelines, ensuring data availability, accuracy, and efficiency.
  • Analyze key areas of the business to uncover opportunities for optimization, experimentation, and strategic improvements.
  • Build, maintain, and monitor robust, user-friendly Looker dashboards and reports, ensuring stakeholders have access to up-to-date insights.
  • Drive best practices across the Data Team, including data governance, performance optimization, and documentation.
  • Lead strategic analytics initiatives by partnering closely with cross-functional teams to identify, scope, and fill data visibility gaps.
  • Work with Product and Engineering teams to ensure we collect the data required to support business objectives

Other

  • 5-7+ years of hands-on experience with large, complex data sets and delivering analytics solutions in fast-paced or scaled environments.
  • Demonstrated ability to lead analytics or reporting projects end-to-end, from scoping to stakeholder communication.
  • Ability to communicate effectively with a wide range of audiences, including business stakeholders, data engineers, and product teams.
  • Extremely curious and excited to dive into complex problems.
  • Self-driven, proactive, and comfortable operating with ownership and ambiguity.