Senior Partner Insights Manager (Global Fleet and Products)

Requirements

• Bachelor’s degree or above in engineering, project management, operations, logistics, supply chain or related field
• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in ETL management/data pipeline
• (Desirable) Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• (Desirable) Experience with AWS Tools and Technologies (Redshift, S3, EC2)
• (Desirable) Experience using Python scripting to process data for modeling

What the job involves

• Global Fleet and Products (GFP) are seeking a Senior Partner Insights Manager to develop actionable, data-driven insights that help deliver meaningful improvement to Delivery Service Partners (DSPs) experience of operating fleet on the Amazon contract
• In this role you will develop and lead new data led solutions (dashboards, metrics, analytics) that supports insight, critical decision making and process improvement across the GFP organisation
• To be successful in this role, you’ll need to be a diligent time/project manager, strong communicator, and problem solver
• You’ll work on large, complex initiatives with a high degree of ambiguity, and you’ll also advocate on behalf of our DSPs. The successful candidates will use data and analytic engineering to drive changes across multiple organizations
• Developing and maintaining performance dashboards with key metrics for review with senior leadership and business teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization
• Onboarding data from our WW data warehouse to build automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls
• Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership
• Inventing new ways to analyze data to identify the trends and gaps in the experience and services we provide to our delivery service partners
• Partnering with other data engineers and analysts to build and automate central tools that will improve and streamline the quality of reporting and analysis in the organization
• Lead cross organizational/regional projects on automation, data and reporting improvement
• Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines
• Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda

#J-18808-Ljbffr…