Data Analyst III

Rent the Runway • New York, NY

4h • Hybrid

About The Position

Rent the Runway (RTR) is seeking a Data Analyst to develop and manage crucial data models that describe their customers and business. This role involves partnering cross-functionally with business leaders to create rich reporting and data visualizations, enabling data-driven decisions. The Data Analyst will define KPIs, set goals for continuous improvement, and contribute to the team's culture with opportunities for growth and leadership.

Requirements

• 3+ years of hands-on experience with large, complex data sets.
• 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.
• Experience with data analytics tools such as Looker or Tableau to build dashboards and reports.
• Experience with dimension modeling and data architecture, ensuring scalable and efficient data structures.
• Experience with DBT for transforming and managing data models.
• Strong analytical skills, with the ability to uncover insights and communicate findings effectively.
• 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.

Nice To Haves

• Experience with code management and deployment on Github a plus.
• Experience working with event data or user/product analytics tools (e.g., Heap) is a plus.

Responsibilities

• Partner 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.
• Promote and assimilate 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level