Data Analyst II

closed
Rent the Runway Logo

Rent the Runway

πŸ’΅ $100k-$125k
πŸ“Remote - Worldwide

Summary

Join Rent the Runway's Data Analytics team as a Data Analyst to develop and manage crucial data models describing customers and the business. Partner with cross-functional teams to identify and address data visibility gaps, collaborating with Product and Engineering to ensure data collection aligns with business objectives. Develop scalable data models for dashboards and reports, and work with Data Engineering to optimize data pipelines. Analyze business areas to identify optimization opportunities, define and monitor KPIs, and build user-friendly Looker dashboards. Promote data governance best practices and contribute to a positive team culture. This role offers growth and leadership opportunities within an expanding team.

Requirements

  • 4+ 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 business intelligence 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

Responsibilities

  • Partner closely with cross-functional teams to identify, scope, and fill data visibility gaps
  • Work with Product and Engineering to ensure we collect 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

Preferred Qualifications

  • 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
  • Passion for data and its fundamental ability to create value
  • Extremely curious and excited to dive into complex problems

Benefits

  • Paid Time Off including vacation, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family
  • Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention
  • Paid Sabbatical after 5 years of continuous service - Unplug, recharge, and have some fun!
  • Exclusive employee subscription and rental discounts - to ensure you experience the magic of renting the runway (and give us valued feedback!)
  • Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment - Your health comes first and we’ve got you covered
  • 401k match - an investment in your future
  • Company wide events and outings - our team spirit is no joke - we know how to have fun!
  • Hybrid work - individual contributors on our tech team follow a sprint schedule and generally alternate fully remote weeks and working remotely two days per week, in accordance with Company policies
This job is filled or no longer available

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