Lead Data Analyst – Inventory Optimization & Analytics

URBN; Philadelphia (Philadelphia County); On-site; USD 110,000 - 160,000; Full time

Job summary

URBN's Data Science & Analytics team is seeking a Lead Data Analyst to drive complex analytical work, provide technical leadership, and partner across the business. You'll start by focusing on Inventory Science, collaborating with Supply Chain, Merchandising/Planning, Data Scientists, and ML Engineers to improve inventory and fulfillment decisions.

This hands-on role blends SQL and analytical expertise with business curiosity, bridging data across systems, validating results, and translating

Qualifications

• 5+ years of analytics or quantitative work with ownership of analyses.
• Advanced SQL with performance optimization and data validation.
• Proficiency in Python for analysis (pandas).
• Experience building analytical datasets and data models in a modern data warehouse environment (e.g., Snowflake, BigQuery, Redshift).
• Strong analytical problem-solving skills, including identifying biases and navigating ambiguous questions.
• Experience collaborating with Data Engineering to investigate data quality issues.
• Demonstrated ability to mentor peers and promote analytical best practices.
• Strong communication skills to translate complex findings for technical and business stakeholders.
• Experience using AI-powered analytical or coding tools with validation and judgment.

Responsibilities

• Develop a deep understanding of data across source systems, investigating discrepancies and tracing issues to root causes.
• Build analytical datasets and data models to support advanced analysis, experimentation, and data science initiatives.
• Partner with Data Engineering to define analytical data requirements and address upstream data quality issues.
• Develop measurement frameworks and design experiments, holdouts, and other approaches to evaluate business initiatives and data science solutions.
• Develop dashboards and self-service reporting in Looker and Qlik, and document metrics, methodologies, and data lineage.
• Lead complex analytical initiatives, translating ambiguous business questions into actionable insights and recommendations.
• Partner with business and Technology stakeholders to identify opportunities, quantify potential impact, and define metrics for success.
• Collaborate with Data Scientists, ML Engineers, and business partners to frame problems and communicate findings.

Skills

Advanced SQL

Python (pandas)

Data modeling

Data quality investigation

Mentoring teammates

Business storytelling

Statistical analysis

Cross-functional partnership

Problem solving

Tools

Looker

Qlik

Snowflake

BigQuery

Redshift

Job description

URBN's Data Science & Analytics team is seeking a Lead Data Analyst to drive complex analytical work, provide technical leadership, and partner across the business. You'll start by focusing on Inventory Science, collaborating with Supply Chain, Merchandising/Planning, Data Scientists, and ML Engineers to improve inventory and fulfillment decisions.

This hands-on role blends SQL and analytical expertise with business curiosity, bridging data across systems, validating results, and translating