BIE II, F2 Tech Core, Amazon Fashion
DESCRIPTION
Amazon Fashion drives multiple core and advance science initiatives. The approach and technology are nothing short of disruptive, and promise to challenge traditional approaches, and change the way the industry operates.
We are hiring a Business Intelligence Engineer (BIE) to help us accelerate our efforts in improving Amazon Fashion. This person will build new business intelligence solutions end-to-end in partnership with our F2 Finance partners. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data sets to derive insights, answer business questions and drive growth.
In addition to leading the design, development, and management of our analytical tools and reporting, we will also look to this person to provide thought leadership and business analysis support as needed. This particular role will partner closely with our F2 Finance team to build a ‘one-stop shop’ dashboard to provide leadership with increased visibility into their input and output metrics as well as support other reporting requirements through the F2 organization. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, an ability to work effectively with cross functional teams, and an ability to work in a fast paced and ever-changing environment.
Key job responsibilities
· Own, design, develop, document, and manage scalable solutions for new and ongoing metrics, reports, analyses, visualizations, and dashboards to support business needs
- Use analytical and statistical rigor to solve complex problems and drive business decisions that will help us achieve our strategic goals.
· Dive deep to understand frameworks utilized for storing data and different tools and solutions used to gain access to it
· Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
· Design and drive experiments to form actionable recommendations. Present to business leaders in both ad-hoc forums and routine business reviews (MBR/QBR) to drive decisions
· Be able to swiftly prioritize and multi task based on severity level and strong business judgement.
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.