How often have you had an opportunity to be a founding member of a team that is tasked with solving a huge business problem through innovative technology?
If you want to join a fast-paced, innovative team that is making history and breaking new ground for Amazon, this is the place for you.
For millions of customers worldwide, the Amazon name is synonymous with delivery and the Delivery Experience (DEX) team provides those customers with innovative ways to get what they want and need, enabling the choices they make on every order, every day.
We combine customer impact with retail invention, solving huge technical challenges along the way.
The ideal candidate is excited by technology, passionate about learning and should view every customer interaction as an opportunity to create an exceptional customer experience.
Everyone on the team needs to be entrepreneurial, excited to work in a green field , wear many hats and work in a highly collaborative environment that is more startup than big company.
Key job responsibilities
- Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions.
- Partner with Data engineering team to define the data elements and data structure that the team should leverage to enable capabilities.
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
- Participate in strategic & tactical planning discussions
- Standardize data and report consumption across all customer groups.
- Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
- Be connected and influential within the Amazon BIE community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points.
A day in the life
The successful candidate will have a strong understanding of different businesses and the underlying analytics, and the ability to translate business requirements into analysis, collect and analyse data, and make recommendations back to the business.
BIEs also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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