Have you ever ordered a product on Amazon and when that box with the smiley
Do you have the skills to fill this role Read the complete details below, and make your application today.
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
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.
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
