eCommerce Business Intelligence Analyst

At Home•Coppell, TX

About The Position

At Home is looking for an eCommerce Business Intelligence Analyst to join our growing eCommerce team! This person will gather, analyze, and compile data needed to identify trends and patterns, then make recommendations for business actions. They will summarize website behavioral & transactional reports for review by executives, managers, and stakeholders. This person will own the eCommerce teams analytics requests, create reports & dashboards, find friction points in the customer's journey, and provide supporting data for the A/B testing program & the Optimization Analyst.

Requirements

3+ years of relevant web analytics experience is required
Proficient knowledge of Adobe Analytics, and tagging, is required. Experience with Adobe Launch/DTM is preferred
Experience with retail analytics with the ability to communicate complex concepts to a variety of audiences
The problem-solving mindset with experience in diagnosing, reporting, tracking, and resolving data quality issues
Strong analytic, quantitative, and data interpretation skills, and ability to transform data into actionable insights
Presentation skills are a must

Nice To Haves

Knowledge of digital marketing initiatives is preferred (Paid Search, SEO, Affiliates, Display)
Working knowledge of Power BI is a plus but not required
Working knowledge in SQL, R, or Python is a plus but not required

Responsibilities

Identify growth opportunities by analyzing user behavior, navigation patterns, page performance, and conversion funnels
Establish dashboard and reporting standards for the entire eCommerce team focused on KPIs (sales, traffic, conversion, etc.)
Partner closely with Ecommerce senior leadership to determine business opportunities to improve revenue and/or profitability
Manage strategic direction of all site tagging. Partner with Development and QA teams to ensure accuracy and quality
Provide data-driven insights to increase overall site conversion and improve performance and customer experience
Educate teams in web analytics and create self-service analytics reporting culture
Work in partnership with Merchandising, Marketing, User Experience, and Finance teams to make recommendations specific to their business needs
Play a pivotal role in the site A/B testing strategy and subsequent analysis
Communicate to both peers and executive leadership opportunities for site improvements
Partner cross-functionally with peers who may analyze store performance, finance, merchandise and planning, and logistics to ensure learnings are applied to the area of largest impact