About the Job
Position Purpose
The E-Commerce Merchandising Analyst supports TYR’s digital growth by ensuring accurate reporting, accessible insights, and consistent measurement across key e-commerce and marketing channels. This role focuses on building dashboards, monitoring performance trends, improving data quality, and transforming insights into recommendations that support marketing, merchandising, and planning teams.
This is a development-track role with the opportunity to grow into an E-Commerce Analytics Lead as skills deepen across analytics strategy, forecasting, and broader data ecosystem ownership. The ideal candidate must have experience in E-commerce merchandising.
Key Responsibilities
• Analytics & Reporting
• Maintain weekly and monthly reporting for sales, traffic, conversion, AOV, MER, CAC, retention, and other KPIs.
• Build and update dashboards in GA4, Shopify Analytics, BI tools, and Northbeam.
• Support data accuracy and consistent KPI definitions across teams.
• Provide clear performance summaries and trends to the Director of E-Commerce.
Site & Funnel Insights
• Analyze site and funnel performance to highlight friction points and opportunities.
• Track PDP, collection, and checkout performance.
• Develop insights that help inform marketing, merchandising, and operational decisions.
Marketing & Merchandising Support
• Support marketing performance reporting across paid, email, and promotional channels.
• Provide product/category trend insights to Merchandising and Planning teams.
• Assist with inventory and assortment reporting tied to KPI outcomes.
Foundational Data Governance
• Help maintain consistent taxonomy, naming conventions, and KPI definitions.
• Assist with reviewing GA4 and Shopify tagging for accuracy.
Optimization & Testing Support
• Provide analytics support for CRO tests by pulling and analyzing data.
• Measure the impact of site experience updates, navigation changes, and content adjustments.
• Support audience segmentation and campaign analysis for marketing.
Cross-Functional Collaboration
• Work closely with E-Commerce, Marketing, P&A, and Creative teams to support data needs.
• Provide concise insights during weekly performance reviews.
• Become a reliable analytics resource across digital functions.
Qualifications
• 3–5 years of experience in e-commerce analytics, or digital merchandising analytics.
• Strong proficiency in GA4, Shopify Analytics, Excel/Sheets, and one BI platform.
• Ability to interpret data and communicate actionable insights clearly.
• Familiarity with performance marketing metrics (MER, CAC, ROAS) and e-commerce KPIs: conversion, AOV, & product life cycling.
• Basic SQL skills preferred; eagerness to grow required.
• Experience with Northbeam, Klaviyo, or similar platforms is a plus.
Preferred Skills
• Experience developing product life cycling, sales, and turn goals.
• Exposure to Shopify data structure or multi-region storefront environments.
• Understanding of first-party data concepts and retention metrics.
Success Metrics
• Reliable and timely reporting adopted across teams.
• Improved accuracy of key digital metrics and measurement.
• Insight-driven recommendations supporting marketing, merchandising, and planning.
• Growing capability toward lead-level analytics ownership.
Position Purpose
The E-Commerce Merchandising Analyst supports TYR’s digital growth by ensuring accurate reporting, accessible insights, and consistent measurement across key e-commerce and marketing channels. This role focuses on building dashboards, monitoring performance trends, improving data quality, and transforming insights into recommendations that support marketing, merchandising, and planning teams.
This is a development-track role with the opportunity to grow into an E-Commerce Analytics Lead as skills deepen across analytics strategy, forecasting, and broader data ecosystem ownership. The ideal candidate must have experience in E-commerce merchandising.
Key Responsibilities
• Analytics & Reporting
• Maintain weekly and monthly reporting for sales, traffic, conversion, AOV, MER, CAC, retention, and other KPIs.
• Build and update dashboards in GA4, Shopify Analytics, BI tools, and Northbeam.
• Support data accuracy and consistent KPI definitions across teams.
• Provide clear performance summaries and trends to the Director of E-Commerce.
Site & Funnel Insights
• Analyze site and funnel performance to highlight friction points and opportunities.
• Track PDP, collection, and checkout performance.
• Develop insights that help inform marketing, merchandising, and operational decisions.
Marketing & Merchandising Support
• Support marketing performance reporting across paid, email, and promotional channels.
• Provide product/category trend insights to Merchandising and Planning teams.
• Assist with inventory and assortment reporting tied to KPI outcomes.
Foundational Data Governance
• Help maintain consistent taxonomy, naming conventions, and KPI definitions.
• Assist with reviewing GA4 and Shopify tagging for accuracy.
Optimization & Testing Support
• Provide analytics support for CRO tests by pulling and analyzing data.
• Measure the impact of site experience updates, navigation changes, and content adjustments.
• Support audience segmentation and campaign analysis for marketing.
Cross-Functional Collaboration
• Work closely with E-Commerce, Marketing, P&A, and Creative teams to support data needs.
• Provide concise insights during weekly performance reviews.
• Become a reliable analytics resource across digital functions.
Qualifications
• 3–5 years of experience in e-commerce analytics, or digital merchandising analytics.
• Strong proficiency in GA4, Shopify Analytics, Excel/Sheets, and one BI platform.
• Ability to interpret data and communicate actionable insights clearly.
• Familiarity with performance marketing metrics (MER, CAC, ROAS) and e-commerce KPIs: conversion, AOV, & product life cycling.
• Basic SQL skills preferred; eagerness to grow required.
• Experience with Northbeam, Klaviyo, or similar platforms is a plus.
Preferred Skills
• Experience developing product life cycling, sales, and turn goals.
• Exposure to Shopify data structure or multi-region storefront environments.
• Understanding of first-party data concepts and retention metrics.
Success Metrics
• Reliable and timely reporting adopted across teams.
• Improved accuracy of key digital metrics and measurement.
• Insight-driven recommendations supporting marketing, merchandising, and planning.
• Growing capability toward lead-level analytics ownership.