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Senior Data Analyst; NYC

Job in New York, New York County, New York, 10261, USA
Listing for: FashionUnited
Full Time position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Analyst (NYC)
Location: New York

Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one‑time rental or ownership.

RTR offers designer apparel and accessories from hundreds of brand partners and has built in‑house proprietary technology and a one‑of‑a‑kind reverse logistics operation. Under CEO and Co‑Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

About

the Team:

Data is core to our growing business and has been ingrained in the company's DNA since its founding. As a member of the Data Analytics team, you will arm stakeholders with data to measure performance, insights
, and drive continuous improvements across the company. The team is responsible for developing and maintaining RTR’s core data models, defining and analyzing performance metrics, building reports, and enabling self‑service report solutions. Business Intelligence is an important team within the RTR Customer organization.

About the Job:

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.

What You’ll Do:
  • 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
    .
About You:
  • 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, optimised queries for large‑scale datasets.
  • Experience building and maintaining dashboards in Looker or similar BI tools.
  • Demonstrated experience with data modeling
    , dimensional modelling, and dbt
    .
  • Experience with code management and deployment on Git Hub
    .
  • 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…
Position Requirements
10+ Years work experience
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