Technical SEO Analyst

About the Role

Key Responsibilities

• Analyze server logs to optimize crawler behavior, identify crawl budget inefficiencies, and manage sitemaps and robots.txt.
• Conduct deep technical SEO audits addressing architecture, canonicalization, structured data, hreflang, internal linking, and mobile usability.
• Monitor and enhance site performance using tools like Lighthouse and PageSpeed Insights, focusing on Core Web Vitals and rendering performance.
• Automate SEO tasks using Python (e.g., BeautifulSoup, Scrapy, Selenium) to parse logs, audit URLs, and surface SEO issues.
• Manage crawl budget and indexation via URL parameter evaluation, pagination, duplication control, and integration with Google APIs.
• Collaborate with engineering, UX, and content teams to ensure SEO-friendly site architecture and technical alignment for new features.
• Implement performance best practices including browser caching, asset compression, CDN strategies, and rendering path optimization.
• Build dashboards and automate reporting in Looker or Tableau to track technical SEO health and detect anomalies.
• Use SEO tools such as Screaming Frog, Semrush, Ahrefs, and Google Search Console to monitor and optimize visibility.
• Stay up to date with SEO trends and translate technical insights into actionable strategies for both technical and non-technical audiences.

Requirements

• Minimum 2 years of experience in technical SEO, including log analysis, crawl optimization, and coding.
• At least 5 years of total SEO experience with large-scale, enterprise-level eCommerce platforms (automotive experience a plus).
• Proficient in Python scripting, structured data implementation, and web protocols (redirects, caching, HTTP status codes).
• Deep understanding of page performance using Lighthouse, PageSpeed Insights, WebPageTest, and experience with front-end technologies (HTML, CSS, JavaScript).
• Experience with Adobe Experience Manager (AEM) or other CMS platforms.
• Proficiency with SEO and analytics tools such as Screaming Frog, Botify, DeepCrawl, Ahrefs, Similarweb, GSC, and Bing Webmaster Tools.
• Strong grasp of SQL, data visualization tools (Looker, Tableau), and reporting best practices.
• Familiarity with DevOps, CI/CD pipelines, Git, and SEO use cases for machine learning.
• Excellent problem-solving skills and ability to write clear, concise documentation and engineering tickets.
• Strong collaboration and communication skills; thrives in fast-paced, agile environments.
• Bachelor's degree in computer science, Information Technology, Marketing, or a related field.

Nice to Have

• Experience with WebPageTest
• Knowledge of machine learning applications in SEO
• Automotive industry experience

Qualifications

• Bachelor's degree in computer science, Information Technology, Marketing, or a related field.