Senior Data Analyst (NYC)

Rent the Runway•Brooklyn, NY

3d•$140,000 - $175,000•Hybrid

About The Position

We are looking for a Senior Data Analyst to lead high-impact analytics initiatives and manage key data models that describe our customers and business. In this role, you will partner cross-functionally with business leaders across the organization. You will own the creation of rich reporting and data visualizations , enabling functional leaders to quickly digest information and make data-driven decisions. In collaboration, you will define KPIs and set attainable, stretch goals to drive continuous improvement. You will be a key contributor to the culture of the team, and you will have opportunities for growth and leadership as we expand. This is a senior-level role, requiring strong analytical judgment, ownership, and the ability to operate independently in a fast-paced, evolving environment.

Requirements

5-7+ 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.
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.
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 - 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.

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