Data Analyst, eCommerce

Responsibilities:

• Data Analysis: Analyze e-commerce data to identify trends, patterns, and insights related to customer behavior, sales performance, and marketing effectiveness. 
• Reporting and Presentation: Generate reports and present findings to relevant stakeholders, including enterprise strategy managers and developers. 
• Market Research: Conduct market research to understand competitive landscapes, identify opportunities, and stay up-to-date on industry trends. 
• Optimization and Improvement: Make data-driven recommendations for improving e-commerce processes, website performance, and marketing strategies. 
• Collaboration: Work cross functionally to identify data needs, implement definitions and ensure data flows are dependable and trustworthy.
• Forecasting: Use forecasting models to predict future demand to build client budget strategies.
• KPI Tracking: Monitor key performance indicators (KPIs) to track progress and measure the effectiveness of e-commerce initiatives.
• Data Collection: Be the internal SME in our site tagging solution, working  with development team to have new tags implemented and track relevant user behavior
• Goal Setting: Help define and measure success for website performance across numerous goals: audience acquisition, retention, engagement and conversion

Requirements:

• Bachelor’s degree preferred with 3-5 years of relevant experience required or an equivalent combination of education and experience sufficient to perform the essential functions of the job, as determined by the company
• Capable of analyzing KPIs and making recommendations for change as they pertain to sales, events, promotions, outbound communications, user generated content, marketing initiatives and site performance
• Experience with website or ecommerce business models, including digital marketing channels (SEO, email, retargeting, display advertising, etc.), A/B testing, systems, and content management.
• 2-5 years of experience with web analytics tool, preferably Google Analytics
• Solid understanding of website tagging (e.g. GTM or Tealium).
• Advanced level proficiency in MS Excel required; proficiency with a BI tool such as Power BI or Tableau a plus
• Ability to navigate large datasets, with SQL knowledge preferred. Experience with enterprise data platforms (Databricks, BigQuery) a plus.
• Must be highly analytical, comfortable working with numbers and able to provide a data-driven rationale for new projects. Solid foundation of statistical skills a plus.
• Demonstrated ability to work independently as well as cross functionally with a team to execute tasks and projects and achieve desired results
• Must be organized, detail-oriented and possess strong problem-solving skills
• Ability to multi-task and work in a fast-paced environment