Tire Rack
Description
We are seeking a highly skilled
Technical SEO Analyst
to own and drive the technical optimization of our website with the goal of improving organic and AI/LLM search performance. You will be responsible for ensuring optimal crawlability, indexation, site speed, and linking architecture, while working closely with cross-functional teams. If you're passionate about SEO, performance metrics, and site architecture - and have the coding chops to automate and scale - we want to hear from you.
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. Qualifications
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.
Education
Bachelor's degree in computer science, Information Technology, Marketing, or a related field.
Work Days
Normal work days are Monday through Friday. Occasional Saturdays and Sundays may be necessary.
#HP
We are seeking a highly skilled
Technical SEO Analyst
to own and drive the technical optimization of our website with the goal of improving organic and AI/LLM search performance. You will be responsible for ensuring optimal crawlability, indexation, site speed, and linking architecture, while working closely with cross-functional teams. If you're passionate about SEO, performance metrics, and site architecture - and have the coding chops to automate and scale - we want to hear from you.
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. Qualifications
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.
Education
Bachelor's degree in computer science, Information Technology, Marketing, or a related field.
Work Days
Normal work days are Monday through Friday. Occasional Saturdays and Sundays may be necessary.
#HP