Lead Data Analyst - Retail, Marketing & Ecommerce
July 26
🔄 Hybrid – Manhattan
Description
• Deliver in-depth and actionable data analytics in support of key business outcomes related to customer and revenue growth, pricing and promotional optimization, and operational effectiveness • Source and explore relevant data attributes, perform quality control checks, analyze data, and formulate findings into a clear and comprehensive story for key stakeholders • When appropriate, deliver focused reporting solutions by scoping relevant data layers and designing impactful data visualizations • Continuously improve our order attribution program so investment decisions are supported by the highest-quality insights • Partner with data engineering teams to deliver high-quality data; serve as a data SME and educate business stakeholders on our data assets • Support the development of data standards and ensure accuracy of KPIs calculated from source data (i.e., visitor, customer, order, revenue, etc.) • Participate in the development of business cases for business enhancements such as market sizing, scenario testing, and impact assessments • Recommend new technologies, process improvements and reporting tools to improve access to data and insights among stakeholders
Requirements
• Bachelor’s degree in economics, statistics, social sciences or a related field • 5+ years of experience as a data analyst, ideally as a contributor in an omni-channel consumer retail business (i.e., jewelry, fashion, or similar) with a strong e-commerce presence • Well-versed in the development and application of retail and ecommerce metrics, experimental design principles, performance marketing, CRM, and ecommerce operations • Experience in building and maintaining data pipelines, leveraging data warehousing technology like Snowflake, and working with programming languages like SQL & Python • Working knowledge of platforms such as GA4, Emarsys, Optimizely, Quantum Metrics or similar platforms • Deep appreciation for quality, timeliness and collaboration • Strong communication skills with the ability to convey complex ideas and insights to non-technical stakeholders in a clear and compelling manner • Experience with building supervised and unsupervised models to aid in finding insights or activating customers • Emerging people leadership skills with the ability to mentor and guide work of others is a plus
Benefits
• Paid time off • Medical, Dental, Vision and Prescription Insurance • 401(k) Retirement Plan with company match • Flexible spending account • Health savings account • Tuition Reimbursement • Employee discount • Parental leave • Life insurance
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