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Data Analyst, eCommerce Analytics
4 months ago
Tailored Brands, Inc. is a leading omni-channel specialty retailer of menswear, including suits and a broad selection of business casual offerings as well as the largest provider of tuxedo rental products in the U.S. and Canada. We operate retail stores in all 50 states and Canada. Our U.S. retail stores are operated under the brand names of Mens Wearhouse, Jos. A. Bank, Mens Wearhouse and Tux, and K&G Fashion. Our Canadian stores are operated under the brand name of Moores in ten provinces. Our purpose is we help people love the way they look and feel for their most important moments. We accomplish this by putting customers at the center of every decision, rallying together to achieve common goals, and striving for excellence and continuous improvement. We help fulfill this purpose by valuing differences and knowing they make us better and showing up with courage to always do the right thing. If you want to make a difference, be part of a great team and grow, you might be a perfect fit.
About the Job
We currently have an exciting opportunity for an Data Analyst, Ecommerce Analytics to join the Tailored Brands Enterprise Analytics team. As a Ecommerce Data Analyst, your primary responsibility will be to extract actionable insights from data to optimize ecommerce performance with insights from site content, promotions, customer behavioral data, marketing strategies, and market data, just to name a few. You will collaborate with ecommerce product management, category management, and site operations teams to drive data-driven decisions. The primary goal is providing insights for the ecommerce and marketing teams to guide, monitor and measure their strategies.
What Youll Do | Key Accountabilities
- Data Collection: Partner with operations to track customer actions on the website through Google Tag Manager and Google Analytics.
- Data Analysis: Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated data in Tableau dashboards to identify trends, patterns, and opportunities to increase conversion, average order value, and traffic.
- Reporting: Create clear, concise, and insightful dashboards via Tableau, Looker Studio, and Excel Pivots.
- Presentations: Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
- Collaborate: Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices.