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In this role, you will join a team that empowers hundreds of teams across Amazon with near real-time data to support big data analytics, insights, and machine learning at scale. You will work cross-functionally to design, develop, and implement advanced data tools, dashboards, and ETL pipelines to support advertising strategies and optimize revenue streams. You will analyze large datasets to identify patterns and trends and design A/B experiments to enhance both Publisher and advertiser experiences.
Key job responsibilities
* Design, implement, and lead end-to-end projects and experiments, addressing complex or ambiguous business problems.
* Build and automate data pipelines for ETL processes and support scheduling using industry-standard tools.
* Create dashboards and reporting tools using Tableau, AWS QuickSight, or similar platforms to provide actionable insights for stakeholders.
* Conduct ad-hoc analyses and produce reports to assist business teams in making data-driven decisions.
* Recommend strategies and methodologies for solving business problems using statistical modeling, optimization, and machine learning, ensuring quantifiable impact.* Communicate methodologies, insights, and recommendations effectively to senior leadership, adapting technical depth based on the audience.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- - Spark / EMR / Big Data Processing Technologies a plus.
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