Develop and validate queries, detect data issues, and generate reports to support business teams.
Provide financial data support, including invoice reconciliation and demand/shipping performance reporting.
Build and maintain dashboards and reporting tools for real-time business performance monitoring.
Conduct analyses to support marketing campaigns, customer behavior insights, and loyalty program evaluations.
Collaborate with data engineering to enhance datasets, data pipelines, and system integrations.
Design and automate reporting processes using Python, SQL, and BI tools.
Address cross-functional data requests and deliver on special projects such as vendor performance, SKU analysis, and event sales reporting.
Analyze and track email marketing performance and customer acquisition strategies.
Requirements
Strong proficiency in SQL and Python
Hands-on experience building and maintaining dashboards and reports (Looker Studio, QuickSight, Excel).
Practical skills in automation and ETL processes, including n8n and AWS Glue.
Familiarity with e-commerce operations and analytics platforms, especially GA4 (Google Analytics 4) and cloud data warehouses (BigQuery).
Excellent communication skills, with a focus on data quality, maintainability, and cross-functional collaboration.
Benefits
Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies
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