What are the responsibilities and job description for the Business Intelligence Engineer, Supply Chain CX position at Amazon?
DESCRIPTION
Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused, hungry and passionate about e-commerce, experienced, and entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.
We are looking for a talented, self-driven and experienced Business Intelligence Engineer. It is a pivotal role that will contribute to the evolution and success of one of the key priorities of the organization by insights mining and data modelling to make high impact decisions. Joining the team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The role is highly cross-functional in nature. You will work closely with country leads, category leads, product managers, data engineers, and senior management locally and regionally to define new metrics and project requirements.
In this role, you will have the opportunity to touch every aspect of our business, driving data analysis and insights to help develop our selection, pricing, fulfillment strategies. You should be self-starter who is proficient in SQL, customer centric, and passionate about strategy and analysis.
Key job responsibilities
- Create, build, and maintain recurring metrics and reports
- Define, measure, and track success of feature launches and new initiatives
- Effectively translate data into actionable insights and communicate them to key stakeholders and senior leadership
- Design and influence operational best practices for reporting and analytics to enable the team to scale
- Identify areas of opportunity for automation
- Participate in strategic and tactical planning discussions
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 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 an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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