What are the responsibilities and job description for the Business Intelligence Engineer II, Rufus position at Amazon?
DESCRIPTION
Are you looking for a role in one of the most innovative areas at Amazon? Do you thrive in building something from scratch only to watch it grow and impact the millions of customers who use your product on a daily basis? Invention has become second nature at Amazon, the pace of innovation is only accelerating, and the breadth of our businesses expanding. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to promote new products, unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems in ambiguous environments.
The Amazon Rufus analytics team is looking for a motivated Business Intelligence Engineer to join us in our mission of re-inventing the way we measure customer engagement and identify gaps and opportunities. You will work closely with leadership, product managers, data engineers, data scientists, and product marketing to drive automated analytics, attribution, reporting, and decision making. If you love working with huge data sets and delivering the insights you discover through business intelligence reporting and automated systems, then this is the job for you. You'll be challenged, have fun, and make history driving the intersection of ambient computing and retail commerce.
Key job responsibilities
-4 Years of industry experience
-Strong experience gathering business requirements and discerning importance
-Stakeholder management skills
-Strong experience using industry standard business intelligence and data engineering tool(s) to interact with, extract, transform, and load data
-Advanced SQL skills with experience analyzing large-scale, complex, unstructured datasets
-Experience with visualization tools such as QuickSight, Looker, Tableau, Excel
-Bachelor's of Science or higher in Information Systems, Computer Science, Mathematics, Statistics, Sciences, or a similar field or equivalent industry experience
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $89,600 - $185,000
