Data Analytics Manager

Rent the RunwayNew York, NY
$160,000 - $190,000Hybrid

About The Position

Rent the Runway (RTR) is seeking a Data Analytics Manager to lead high-impact analytics initiatives and manage key data models that describe their customers and business. This role involves partnering cross-functionally with business leaders, owning the creation of rich reporting and data visualizations, and defining KPIs to drive continuous improvement. The position will initially be an individual contributor role with the potential to evolve into people leadership. The ideal candidate will possess strong analytical judgment, ownership, and the ability to operate independently in a fast-paced, evolving environment.

Requirements

  • 6+ years of hands-on experience with large, complex data sets and delivering analytics solutions in fast-paced or scaled environments.
  • Bachelor’s degree in a quantitative field (e.g., Computer Science, Physics, Mathematics, Statistics…); advanced degrees and/or specializations a plus.
  • Highly proficient in SQL, with the ability to write efficient, optimized queries for large-scale datasets.
  • Demonstrated experience with data modeling, dimensional modeling, and dbt.
  • Experience building and maintaining dashboards in Looker or similar BI tools (Sigma, Tableau, etc.).
  • Experience with code management and deployment on GitHub.
  • 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.
  • Passion for data and its fundamental ability to create value.
  • Extremely curious and excited to dive into complex problems.
  • Self-driven, proactive, and comfortable operating with ownership and ambiguity.

Nice To Haves

  • Experience working with event data or user/product analytics tools (e.g., Heap) is a plus.

Responsibilities

  • 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.
  • 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.
  • Define and monitor KPIs to influence decisions throughout RTR.
  • 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.

Benefits

  • Paid Time Off including vacation, paid bereavement, and family sick leave
  • Universal Paid Parental Leave for both parents + flexible return to work program
  • Paid Sabbatical after 5 years of continuous service
  • Exclusive employee subscription and rental discounts
  • Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment
  • 401k match
  • Company wide events and outings
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