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- Tasks: Lead data-driven insights for Amazon's Delivery Service Partners, optimizing operations and reporting.
- Company: Join Amazon, a global leader in customer-centric logistics and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be part of a team that transforms data into actionable strategies, impacting millions of deliveries.
- Qualifications: Expertise in data programming, AWS, SQL, and visualization tools required.
- Other info: Diversity and inclusion are core values at Amazon; all backgrounds are encouraged to apply.
The predicted salary is between 48000 - 84000 £ per year.
DESCRIPTION
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 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 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
- 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.
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, quality and availability.
- Develop tools and automation to improve self-service and reduce manual process 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 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.
PREFERRED QUALIFICATIONS
- 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.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
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Sr. DSP Insights Manager, Delivery Service Partners (DSP) employer: Amazon UK
Contact Detail:
Amazon UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. DSP Insights Manager, Delivery Service Partners (DSP)
✨Tip Number 1
Familiarize yourself with AWS services, especially Redshift and IAM settings. Understanding how to manage permissions and data warehouses will give you a significant edge in the interview process.
✨Tip Number 2
Brush up on your Python skills, particularly in building automated data pipelines. Being able to demonstrate your ability to invoke API calls and manage data efficiently will be crucial for this role.
✨Tip Number 3
Prepare to discuss your experience with data visualization tools like Tableau or Quicksight. Having concrete examples of how you've used these tools to communicate insights will impress the hiring team.
✨Tip Number 4
Think about how you can translate complex data into actionable insights for business stakeholders. Be ready to share examples of how you've successfully communicated data-driven recommendations in past roles.
We think you need these skills to ace Sr. DSP Insights Manager, Delivery Service Partners (DSP)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Sr. DSP Insights Manager position. Understand the key responsibilities and qualifications required, and think about how your experience aligns with these.
Highlight Relevant Experience: When writing your application, focus on your experience with AWS technologies, data visualization tools, and programming languages like Python. Provide specific examples of how you've used these skills in previous roles.
Showcase Data-Driven Insights: Emphasize your ability to generate actionable insights from large data sets. Discuss any relevant projects where you successfully analyzed data and communicated findings to senior leadership.
Tailor Your Application: Customize your CV and cover letter to reflect the language and values mentioned in the job description. Highlight your passion for data analytics and your commitment to improving customer experiences through innovative solutions.
How to prepare for a job interview at Amazon UK
✨Showcase Your Data Skills
Be prepared to discuss your experience with large data sets and the tools you've used, like Python and SQL. Highlight specific projects where you extracted, transformed, and cleaned data, as this is crucial for the role.
✨Understand AWS Technologies
Since managing AWS accounts is a key responsibility, familiarize yourself with AWS services, especially Redshift and IAM settings. Be ready to explain how you've utilized these technologies in past roles.
✨Communicate Insights Effectively
Practice articulating complex data insights in a clear and concise manner. Think of examples where you've successfully communicated findings to senior leadership and how those insights drove decision-making.
✨Demonstrate Collaboration Skills
The role involves partnering with various teams, so be prepared to discuss your experience working with cross-functional teams. Share examples of how you've collaborated with data engineers and business stakeholders to achieve common goals.
