Have you ever ordered a product on Amazon and when that box with the smiley arrived wondered about its journey till your doorstep? If so, the Amazon Logistics, Last Mile team is the right team for you. As Amazon constantly works to be the most customer-centric company on earth, a key element of customer experience is how we fulfill and deliver their orders. Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible through a world-class last mile operation. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels through the introduction of pioneering new products and services.
The EU DSP Management team works with various European countries to optimize our end-to-end relationships with the Delivery Service Providers (DSPs), focusing on providing best-in-class partnerships with our stakeholders across the EU.
We are looking for a Sr. DSP Insights Manager who is ready to roll up their sleeves and help us develop actionable, data-driven insights, using various quantitative tools and core project management skills.
Key Job Responsibilities
1. Managing our organization’s AWS account, including a data warehouse in Redshift. Manage permissions structure by administrating IAM settings.
2. Owning reporting for strategic roadmaps by working with business leaders; driving expansion and optimization of new business units in our DSP program.
3. 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.
4. Onboarding data to our data warehouse by building automated data pipelines utilizing Python in Lambda or Sagemaker to invoke API calls.
5. Using statistical techniques and tools for strategic deep dives; generating actionable insights and effectively communicating recommendations to senior leadership.
6. Inventing new ways to analyze data to identify the trends and gaps in the experience and services we provide to our delivery service partners.
7. Partnering with other data engineers and analysts to build and automate central tools that will improve the quality of reporting and analysis in the organization.
8. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines.
About the Team
Our analytics team (DIAT - DSP Intelligence, Analytics and Tools) aims to:
1. Build and manage a robust data platform to improve data coverage, quality, and availability.
2. Develop tools and automation to improve self-service and reduce manual process risks.
3. Use data rigor to deep dive and generate actionable insights.
4. Maintain usage & quality controllership for all provided reporting.
Minimum Requirements
1. Experience programming to extract, transform and clean large (multi-TB) data sets.
2. Experience in scripting for automation (e.g., Python) and expert SQL skills.
3. Experience in administration of AWS technologies.
4. Experience with data visualization using Tableau, Quicksight, or similar tools.
5. Experience working directly with business stakeholders to translate between data and business needs.
6. Experience with theory and practice of information retrieval, data science, machine learning, and data mining.
7. Experience with theory and practice of design of experiments and statistical analysis of results.
8. Experience managing, analyzing, and communicating results to senior leadership.
9. AWS Cloud Practitioner / AWS Solutions Architect / AWS Data Engineer.
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