Company:
Amazon TA
Location: London
Closing Date: 04/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Have you ever ordered a product on Amazon and when that box with the smileyarrived wondered about its journey till your doorstep? If so, the AmazonLogistics, Last Mile team is the right team for you. As Amazon constantlyworks to be the most customer-centric company on earth, a key element ofcustomer experience is how we fulfill and deliver their orders. Amazon aims toexceed the expectations of our customers by ensuring that their orders, nomatter how large or small, are delivered as quickly, accurately, and costeffectively as possible through a world class last mile operation. To meetthis goal, Amazon is continually striving to innovate and provide best inclass service levels through the introduction of pioneering new products andservices. The EU DSP Management team works with the various European countries tooptimize our end-to-end relationships with the Delivery Service Providers(DSP’s), focusing on providing a best-in-class partnerships with ourstakeholders across EU. We are looking for a Sr. DSP Insights Manager who is ready to roll up theirsleeves and help us develop actionable, data-driven insights, using variousquantitative tools and core project management skills. Key job responsibilities Core responsibilities include : - Managing our organization’s AWS account, including a data warehouse inRedshift. 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 forreview with senior leadership and business teams; synthesizing largequantities of data to help create new, step-change initiatives for theorganization. - Onboarding data to our data warehouse by building automated data pipelinesutilizing eg Python in Lambda or Sagemaker to invoke API calls. - Using statistical techniques and tools for strategic deep dives; generatingactionable insights and effectively communicating recommendations to seniorleadership. - Inventing new ways to analyze data to identify the trends and gaps in theexperience and services we provide to our delivery service partners. - Partnering with other data engineers and analysts to build and automatecentral tools that will improve the quality of reporting and analysis in theorganization. - Partner with our global teams, align on reporting needs, setup, maintainand own data pipelines. About the team Our analytics team (DIAT - DSP Intelligence, Analytics and Tools) aims to: - Build and manage a robust data platform to improve data coverage, qualityand availability - Develop tools and automation to improve self-service and reduce manualprocess risks - Use data rigor to deep dive and generate actionable insights - Maintain usage & quality controllership for all provided reportings ### BASIC QUALIFICATIONS- 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 similartools - Experience working directly with business stakeholders to translate betweendata 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 andstatistical analysis of results ### PREFERRED QUALIFICATIONS- Experience managing, analyzing and communicating results to seniorleadership - AWS Cloud Practitioner AWS Solutions Architect AWS Data Engineer Amazon is an equal opportunities employer. We believe passionately thatemploying a diverse workforce is central to our success. We make recruitingdecisions based on your experience and skills. We value your passion todiscover, invent, simplify and build. Protecting your privacy and the securityof your data is a longstanding top priority for Amazon. Please consult ourPrivacy Notice (https:www.amazon.jobsenprivacy_page) to know more abouthow we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis of race, nationalorigin, gender, gender identity, sexual orientation, protected veteran status,disability, age, or other legally protected status. For individuals withdisabilities who would like to request an accommodation, please visithttps:www.amazon.jobscontentenhow-we-hireaccommodations.
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