Analytics Analyst – eCommerce

About the role

This position requires regular on-site work at our Creative Studios in Westlake, Ohio. Remote work and relocation assistance are not available for this role.

Responsibilities

• Drive better decision making by creating decision support tools that range from BI dashboards to interactive analytical applications
• Analyze large data sets by quantifying the data quality, identifying particular patterns and visualizing the results in Tableau
• Perform tasks such as data wrangling, A/B test design and analysis, statistical modeling, data mining, segmentation, clustering, data visualization, or basic data analysis tasks as needed
• Surface performance insights and opportunities across all of AG ecommerce businesses to inform decisions and drive positive change within the organization and/or the consumer experience
• Provide direction to the data warehouse staff to identify required data and infrastructure for reporting and analyses. Also includes working with data warehouse staff on data quality issues, metadata, etc.

Requirements

• Required Length & Type of Experience: 5+ years experience in scripting with SQL and/or experience in analytical coding and software packages such as R, or Python in a business setting
• 5+ years experience with data visualization tools: Power BI, Tableau, Qlik in a business setting
• Experience with Alteryx is a plus
• Experience with e-commerce and Google Analytics or similar web analytics platform is a plus
• Skilled at visual information presentation and dashboard creation and management
• Exceptional analytical and problem solving skills
• Strong written and oral communication skills
• Possess individual initiative, creativity, and passion for quantitative analytics
• Able to handle multiple projects at once as well as plan and prioritize work
• Good time management skills and ability to complete projects with less oversight
• A genuine interest in innovation

Qualifications

• Bachelor's Degree in Statistics, Economics, Business Analytics, or similar discipline

Skills

• SQL scripting
• Python/R analytical coding
• Data visualization tools: Power BI, Tableau, Qlik
• Alteryx
• E-commerce and web analytics

Benefits

N/A

Pay

N/A

Schedule

N/A