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Sr. DSP Insights Manager, Delivery Service Partner, ROW DSPHamburg, Hamburg, Germany
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Sr. DSP Insights Manager, Delivery Service Partner, ROW DSP

  • +3
  • +10
  • DE
    Hamburg, Hamburg, Germany
  • +3
  • +10
  • DE
    Hamburg, Hamburg, Germany
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À propos

At Amazon, we're working to be the most customer-centric company on earth. One customer experience that we’re constantly taking to new levels is how we fulfill and deliver customers’ orders. Our goal is to delight our customers by delivering their packages quickly and accurately, anywhere in the world. To meet this goal, Amazon is continually striving to innovate and provide best-in-class service levels by pioneering new products and services in the last mile delivery space. Come join the team and help us work hard, have fun, and make history! The ROW DSP Management team works with the various European countries to optimize our end-to-end relationships with the Delivery Service Providers (DSP’s), focusing on providing a best-in-class partnerships with our stakeholders across ROW. 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 Key job responsibilities Core responsibilities include : Managing our organization’s AWS account, including a data warehouse in Redshift. Manage permissions structure by eg administrating IAM settings. Owning reporting for strategic roadmaps by working with business leaders; driving expansion and optimization of new business units in our DSP program. 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 to our data warehouse by building 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 the quality of reporting and analysis in the organization. Partner with our global teams, align on reporting needs, setup, maintain and own data pipelines. GRUNDQUALIFIKATIONEN Experience programming to extract, transform and clean large (multi-TB) data sets Experience in scripting for automation (e.g. Python) and expert SQL skills. Experience in administration of AWS technologies Experience with data visualization using Tableau, Quicksight, or similar tools Experience working directly with business stakeholders to translate between data and business needs Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience with theory and practice of design of experiments and statistical analysis of results BEVORZUGTE QUALIFIKATIONEN Experience managing, analyzing and communicating results to senior leadership AWS Cloud Practitioner / AWS Solutions Architect / AWS Data Engineer 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 ( to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Compétences idéales

  • API
  • AWS
  • Data Mining
  • Data Science
  • Lambda
  • Machine Learning
  • Python
  • Redshift
  • SQL
  • Tableau
  • Hamburg, Hamburg, Germany

Expérience professionnelle

  • Data Engineer
  • Data Analyst
  • Data Scientist

Compétences linguistiques

  • English
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