Amazon Manager Ops Tech Solutions OTS 

United States, Colorado, Loveland 

25152362

Over the next few years, you will support advanced experimentation and measurement systems, including incrementality testing, A/B frameworks, and media mix modeling. You will build and maintain high-scale datasets that quantify the impact of content-driven SEO and paid search innovations, while working closely with scientists to evolve first-party measurement solutions in response to privacy-driven signal loss. If you are a data-savvy builder with deep SQL expertise, an eye for metrics that matter, and a desire to shape the future of SEO and search advertising innovation, we invite you to apply and make an impact at global scale.Key job responsibilities
- Design and implement scalable ETL pipelines to support SEO performance tracking and experimentation analysis- Build dashboards and reporting tools that support executive reviews, including WBRs, MBRs, and program health reviews- Own the analytics behind critical initiatives such as video SEO, cold-start search performance, and content discoverability- Automate data quality monitoring and create mechanisms to ensure reporting reliability and trust- Translate business questions into technical requirements and deliver insightful narratives to drive decision-makingA day in the life

- 5+ years of experience in business intelligence, data analytics, or a related quantitative field
- Experience with at least one scripting language (e.g., Python) for data analysis and automation
- Proven ability to build metrics, KPIs, and dashboards to support data-driven decision-making at scale
- Experience in data modeling, ETL development, and maintaining scalable data pipelines
- Proficient in data visualization tools such as Tableau, QuickSight, or similar platforms
- Strong analytical and problem-solving skills with high attention to detail
- Experience working cross-functionally with technical and non-technical stakeholders to define requirements and deliver insights
- Solid understanding of experimental design, statistical analysis, and A/B testing frameworks
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field