Das ist der Job
Job Description
This role sits at the intersection of analytics engineering and SEO strategy.
Darum lohnt es sich
Partner across teams. You'll spend as much time designing data models as you do interpreting experiments and debugging tracking issues. What You'll Do
Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding.
Build internal linking optimization models. Develop end-to-end data models using Glue and Python to optimize internal linking frameworks across our website, surfacing opportunities to improve crawl efficiency and link equity distribution. Run and measure SEO experiments.
Design and analyze A/B tests using URL split testing and Bayesian measurement frameworks (causal inference) to quantify the impact of SEO changes on organic traffic. Deliver self-serve analytics. Build and maintain Power BI dashboards that give stakeholders clear visibility into SEO performance, traffic trends, and experiment results.
Safeguard data quality. Develop frameworks for prompt debugging and issue identification across web tracking implementations, catching problems before they affect decision-making. Collaborate with SEO managers, content, engineering, and product stakeholders to translate business questions into analytical solutions and turn insights into action
