$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
The Amazon Warehousing and Distribution team (AWD) is at the forefront of supply chain innovation, and is leading the next generation of marketplace and multi-channel storage and distribution services.
We are looking for a passionate, result-oriented and inventive Business Intelligence Engineer. This is an opportunity to work in a startup like environment within Amazon and we seek an individual who is motivated by a fast-paced and highly entrepreneurial environment. You will be part of a growing Business Intelligence team within the wider FBA org with leaders to mentor and support your growth.
We are looking for someone who is detail-driven, and has excellent problem solving and deep dive abilities including experience with modelling complex data. Ability to navigate ambiguous programs while keeping a high bar on quality of outputs is a must. You will be a key contributor to shaping our strategic innovations and customer experience by equipping the product and operations teams with the relevant insights.
The role requires you to feel comfortable working with and clearly communicating with other functional teams, regionally and globally.
Key responsibilities are to:
1. Design, develop and maintain scalable (automated) reports and dashboards that track progress towards plans
2. Automate data pipelines
3. Define, track and report program success metrics
4. Collaborate with business and product teams to define data requirements and processes
5. Building scalable, efficient, and automated data processes to facilitate customer-facing reporting.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA
BASIC QUALIFICATIONS
- 5+ 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 writing complex SQL queries
- 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
5+ 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 writing complex SQL queries
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