SEO Analyst

5+ years related work experience in the marketing analytics space

Bachelor’s or Master’s degree (in a quantitative field preferred) or equivalent work experience

Advanced proficiency in SQL, Testing, and Data Visualization Tools (Tableau/Qlik)

Experience with enterprise marketing automation platforms and relationship marketing

Strong understanding of marketing channels, including email, paid social, SEM, SEO, direct mail, events, etc.

Experienced in ETL, integrating data from various sources (Data Lake, third-party data, CRM, etc.)

Experienced in web analytics (Adobe Analytics, Google Analytics) a plus

Strong problem-solving skills, ability to structure problems into an analytics plan, execute and provide final solution and insight

Experience with synthesizing large-scale data sets to generate insights and recommendations

Track record of using data and insights to drive change and implement new initiatives

Strong communication skills, ability to clearly articulate insights to a wide range of audiences (technical & non-technical)

Strong program management and organization skills and ability to manage multiple projects and work with various business partners.

Intellectual curiosity, flexibility, and great attention to detail

Thrives in a fast-paced work environment, prioritizing and executing the most critical projects

Design, analysis, and interpretation of projects from data requirement gathering to data processing, prototyping, modeling, and recommendations

Collect, analyze, and interpret complex data sets from various sources to derive insights and identify trends

Identify opportunities for improvement and streamline processes through automation and leveraging technology

Communicate project status, progress, risks, and updates to stakeholders and senior leadership.

Support the preparation of reports, presentations, and recommendations to support marketing insights socialization

Construct, manage, and communicate detailed reports and visualizations to provide insights and demonstrate marketing impact and investment (guidance on what durable metrics are essential to measure performance)

Use data models and logic created by the Marketing Data Scientist/Architect to build and maintain marketing funnels

Offer decision-making support and recommendations to the talent marketing team based on data-driven analysis

Support complex ad-hoc projects and initiatives as required, demonstrating flexibility and adaptability:
Specific channel reporting, e.g., email (acquisition, nurture, in-funnel), events based on requirements provided