Site Analytics

Role: Site Analytics

Location: Brooklyn, NY

Duration: 12 Months

Responsibilities:

• Define best practice approaches for analyzing online user behavior, configuring web analytics technology, and for interpreting data
• Determine objectives, methods and tools needed for iterative testing and optimization
• Write analytics technical and functional requirements for public-facing digital properties
• Create customized JavaScript or JSON code as needed for site analytics
• Lead regular tagging audits, providing best practices, and trouble-shooting to ensure accuracy
• Provide site analytics technical expertise, estimates, and recommendations to the development lead and/or project manager
• Communicate risks and issues in a clear and timely manner
• Run regularly-scheduled web analytics reports that contribute meaningful analysis and actionable insights to improve user experience
• Conduct ad-hoc analysis and reporting for internal clients as requested
• Create documentation such as data dictionaries and analytics requirements

MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered

• • • • 5-7 years reporting, and technical background Experience with Google Analytics (GA360, GA4), and Web tag managers (GTM, Tealium)
      • 4-5 years' experience managing enterprise-class web analytics platforms (e.g., Google Analytics 360, GA4, WebTrends); expertise with web analytics platform migrations highly valuable
      • Proficiency developing custom reports, advanced segments, and complex goals, and the interpretation and presentation of findings
      • Intermediate Excel skills and an ability to integrate disparate data sets into clear, concise reports and insights
      • Strong communication skills to collaborate with leadership, experts and decision makers
      • Knowledge of agile ways of working and modern software development practices

Desired Skills:

• At least 8 years of digital software development
• Passion for optimizing for best user experience using data and evidence
• Experience with A/B and multivariate testing techniques and best practices