$79600 - $185000 Year
Monday to Friday
Morning shift
Day shift
Evening shift
Night shift
Health insurance
Paid time off
Employee discount
Dental insurance
Vision insurance
401(k)
401(k) matching
Flexible schedule
Parental Leave
Tuition reimbursement
Flexible spending account
Retirement plan
Others
Are you excited about reinventing the way people think about long-held assumptions? Our team is responsible for transforming the online grocery delivery and pickup experience for Amazon. Our vision is to make Amazon the primary destination to fulfill customer’s food shopping needs.
We’re growing in scale and volume, by orders of magnitude. We are a team of passionate tech builders who work endlessly to make life better for our customers through amazing, thoughtful, and creative new grocery shopping experiences. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems. If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.
As a BIE, you must possess the ability to dive deep into large amounts of data, have a great business sense, curiosity and a proven ability to deal with ambiguity, and the desire to influence key strategic decisions with data-driven analysis and insights. Working within the business teams and collaborating with key stakeholders across the company, you will have the opportunity to design and implement features to enhance the experience of your customers.
As a BIE on our team you will focus on exciting and challenging problems, including:
- Identifying, developing, managing, and executing analyses to uncover areas of opportunity and present written business recommendations that will shape the future of online grocery shopping.
- Reporting key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business.
- Learning and understanding a broad range of Amazon’s data resources and know how, when, and which to use.
- Building automated data solutions and dashboards to enable your team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.
- Scoping, building and owning technical data warehouse processes to help the business scale.
- Collaborating with software engineering and product management as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
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
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 $79,600/year in our lowest geographic market up to $185,000/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.
Communication
Leadership
Teamwork
Interpersonal
Learning/adaptability
Self-management
Organizational
Computer
Problem solving
Open mindedness
Strong work ethic
technology
Others
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
Business administration
On going position
In-person