Description 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. Key job responsibilities - 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. Basic Qualifications - 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 Preferred Qualifications - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with AWS Tools and Technologies (Redshift, S3, EC2) - Experience using Python scripting to process data for modeling Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy\_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.