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In this role, you will join the Selling Partner Support Partner Engagement org. You will help in developing and implementing causal inference mechanisms, data frameworks, and interactive dashboards and visualizations to drive data-driven decision-making across the organization. You will support the Global Process management team, the Root Cause Owning teams and One Amazon Support teams. measuring initiatives implemented for various metrics, and be instrumental in reporting on these initiatives.Key job responsibilities
1. Use and contribute to causal inference methods to measure impact.
2. Contribute to scalable, robust code-base for measurements.
3. Create effective visualizations and dashboards that tell a compelling story and provide recommendations for new business initiatives.
4. Conduct driver analysis and develop time series models to forecast trends in metrics..
5. Provide training and support to business users, ensuring effective adoption and utilization of BI solutions.
6. Communicate data clearly and concisely, adjusting your style for different audiences to address complex financial issues effectively. Your communication will influence critical business decisions.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience with Experiment design and observational Causal inference models
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 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 with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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