Job Description
Urban Outfitters, Inc. (NASDAQ: URBN, www.urbn.com) is a Fortune 1000 company with $4.7 Billion in yearly revenue offering lifestyle merchandise to highly defined customer niches through brands including Urban Outfitters, Anthropologie, Free People, Terrain, BHLDN, and Nuuly. Nuuly is the newest brand under the URBN umbrella, focusing on circular fashion and offering a subscription rental experience for women’s apparel. At Nuuly, we pride ourselves on a relaxed office culture, including flexible work from home, and campus perks, including a gym. When in the office, our employees enjoy our beautiful, dog-friendly workplace at the Philadelphia Navy Yard.
Our Reporting, Analytics, and Data Science team is a mix of roles including software engineers, data scientists, data analysts, and reporting specialists. We work closely with our business partners to support all aspects of the business, including buying & planning, logistics, finance, marketing, and customer success to model data and provide insights to drive decisions through our business intelligence tool, Looker.
In your role as the Analytics Engineer at Nuuly, you'll partner closely with our Sr. Business Intelligence Manager to guide both the strategy and implementation of our data architecture. This includes not only the formulation of data tables and BI tooling but also the advancement of our ETL 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.
- 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.
- 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/visualizations
- Best Practices: Promote best practices for data management and ensure adherence to data governance standards.
- Documentation: Document technical requirements, specifications, and solutions.
- Minimum of 3 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)
- Minimum 2+ years of experience with dbt and git
- 3+ years experience with SQL, with demonstrated expertise in writing and optimizing complex queries; familiarity with BigQuery will be advantageous.
- Hands-on experience in maintaining and optimizing ETL/Orchestration tools such as Airflow, Mage, or Prefect.
- A robust understanding of database architecture and data warehousing, with the ability to design and implement effective data storage solutions.
- Proficiency in Python or another data-centric programming language
- Bonus: experience with Looker, Fivetran, or other data integration platforms
- Bonus: interest in the fashion industry, or a passion for fashion
Urban Outfitters Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. 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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