Nuuly Lead Analytics Engineer

Location US-PA-Philadelphia
ID 2026-23936
Job Family
Technology
Employee Type
Regular
Position Type
Full-Time
Remote
No

Role Summary

Nuuly is seeking a Lead Analytics Engineer who will partner closely with stakeholders to both architect and implement reporting tables in order to support a rapidly growing business with dynamic processes.

A key part of your role involves bolstering the efficacy & reliability of our data infrastructure. You'll develop & refine our ETL processes, striving for accuracy and timeliness in data transformation. Your proficiency in SQL will be harnessed to draft complex queries, enabling effective extraction and analysis of data from various sources. You will be an ambassador for best practices in data management and uphold our data governance standards. Additionally, creating precise and understandable documentation for technical requirements, specifications, and solutions will be a vital aspect of your role.

Role Responsibilities

  • Database management: Maintain, optimize, and enhance our existing data infrastructure ensuring high performance and reliability.
  • Data transformation: Develop and optimize ETL processes, ensuring accurate and timely data transformation.
  • Project Ownership: You will be point of contact for data-related questions on various initiative-based projects assigned  
  • SQL: Write complex SQL queries to extract, transform, and analyze data from multiple sources.
  • Data Literacy: Understand business context and support analysts/stakeholders in crafting and standardizing source-of-truth data models/visualization.
  • Best Practices: Promote best practices for data management and ensure adherence to data governance standards.

Role Qualifications

  • Proven ability to manage projects and communicate effectively across teams
  • A robust understanding of database architecture and data warehousing, with the ability to design and implement effective data storage solutions.
  • Experience with marketing related data sets
  • Advanced experience with dbt and git
  • Minimum of 5 years' experience in analytics engineering, data engineering, business intelligence, or similar role, with a proven track record of managing complex data projects (Bonus: familiarity with startups, ecommerce or subscription based businesses)
  • Advanced SQLknowledge , with demonstrated expertise in writing and optimizing complex queries; familiarity with BigQuery and Snowflake will be advantageous.
  • Hands-on experience in maintaining and optimizing ETL/Orchestration tools such as Airflow, Mage, or Prefect.
  • Proficiency in Python or another data-centric programming language
  • Bonus: experience with GA4 + web analytics
  • Bonus: experience with Looker, Fivetran, or other data integration platforms
  • Bonus: interest in the fashion industry, or a passion for fashion

 

AI/LLM Proficiency:
  • Practical experience using Large Language Models (ChatGPT, Claude, etc.) for work tasks
  • Understanding of prompt engineering and how to provide effective context to AI tools
  • Familiarity with structured AI guidance methods (system prompts, rules files, agent configurations)
  • Knowledge of AI tool integration concepts (MCP, connectors, agentic workflows)
  • Ability to identify opportunities where AI can drive efficiency improvements

 

#LI-EM2

The Perks

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

EEO Statement

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

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