Address
Form of workCore Shopping Analytics elevates the shopping experience for every customer by turning disparate, raw data into actionable insights. We provide analytical support for experience and widget owners, such as Homepage, Detail Page, Checkout, and Authentication among others.
Key job responsibilities
You are an Analytics subject matter expert on the Authentication Experience, providing a friction-free authentication experience that lets customers securely access a wide range of Amazon services worldwide. You will own the core datasets to understand how customers sign-up and sign-in to the store, Prime Video etc. You will develop a framework to understand the levers that drive a successful experience that balances speed and security and build automated reporting with actionable insights for stakeholders to improve it. You will deliver in-depth analysis and recommendations to drive the product roadmap, generating incremental business value. You will partner with vertical teams, such as Identity, to create a holistic view of the business. As the chief evangelist, you will drive adoption of your dataset and mental model across the Consumer organization.
A day in the life
We build in 5-week Sprints with a 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived datasets, conducting analysis, and pushing learnings to customers.
About the team
Since founding as a central analytics team in Jun-2021, we have primarily focused on building out experience-specific 'Source of Truth' (SoT) datasets and automated reporting while supporting general business needs and operations. Today, we own ~100 SoT datasets consumed by 250+ unique teams and ~40 self-service dashboards/gits/reports. Over the next three years, we will invest in our existing foundation and leverage tech advancements to drive down the time required to build/update datasets and provide general business support while raising the bar; and we will reinvest savings into enabling greater self-service insights and delivering actionable analysis.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.
