Data Analyst - eCommerce Analytics
About The Position
Tailored Brands is a leading specialty retailer of menswear, including suits, formalwear, sportswear, and a broad selection of business casual offerings. Our brands include Men's Wearhouse, Jos. A. Bank, Moores and K&G Fashion Superstore, which offers merchandise for the entire family. We help people love the way they look and feel for their most important moments by delivering personalized products and services through our convenient network of stores and e-commerce sites. We currently have an exciting opportunity for a Data Analyst - eCommerce Analytics to join the Tailored Brands Enterprise Analytics team. As Data Analyst – eCommerce Analytics, 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.
Requirements
- Bachelor’s degree in statistics, business, merchandising, or a related field is required.
- Minimum of 3 years career experience in ecommerce or analytics.
- Proficiency in analyzing data in GA is required.
- Proficiency in querying databases for data extraction is required.
- Experience visualizing insights effectively using Power BI, Tableau or similar tools (Power BI is Preferred)
Responsibilities
- Partner with operations to track customer actions on the website through Google Tag Manager and Google Analytics.
- Dive deep into customer behavior data in Google Analytics, sales data in Snowflake, and aggregated data in Power BI dashboards to identify trends, patterns, and opportunities to increase conversion, average order value, and traffic.
- Create clear, concise, and insightful dashboards via Power Bi, Looker Studio, and Excel Pivots.
- Present analyses in a clear, interpretable, and applicable way that can be shared widely, communicating effectively with both technical and non-technical partners.
- Partner with data engineering, ecommerce teams, and across analytics to share learnings, align on methodologies and leverage best practices.
Benefits
- healthcare including medical, dental and vision
- retirement savings (401k with a company match)
- income protection programs such as life, accident and disability insurance
- paid time off for sick leave, vacation, bereavement, jury duty, and holidays
- wellbeing program
- commuter
- adoption assistance
- education assistance
- legal services
- employee merchandise discounts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
