Manager Ops Tech Solutions Ots jobs at Amazon in United States, Loveland
Amazon Manager Ops Tech Solutions OTS United States, Colorado, Loveland
Share
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
BASIC QUALIFICATIONS
- 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
These jobs might be a good fit
Share
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
BASIC QUALIFICATIONS
- 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
These jobs might be a good fit
