As a Senior Business Intelligence Engineer at AST, you will be working in one of the world's largest and most complex data warehouse environments. The ideal candidate will have expertise in statistics, scripting and SQL, expert problem solving skills and experience with tools (including Redshift, S3, ETL, EDX, Athena and Quicksight). This position will work closely with product, science and technical leaders throughout Amazon Air, Amazon Transportation Technology and other operation teams to determine root cause of operational challenges, build KPIs (Key Performance Indicators) and metrics, un-earth opportunities and present findings and recommendations to business partners and management.
A qualified candidate must be self-motivated and have demonstrated ability to manage large-scale projects that are innovative or complex and at the same time delivered as quickly, accurately, and as cost effectively as possible. In addition, possess strong written and verbal communication skills, strong focus on internal and external customers, high intellectual curiosity to learn new concepts and methodologies and ability to adapt and thrive in the fast-paced, high change environment.
Key job responsibilities
- Collect data and perform advanced modeling and statistical analysis
- Map, document and recommend process improvements
- Support business growth and help create efficient designs and solution processes
- Determine efficient utilization of resources
- Actively engage with internal partners throughout the organization to meet and exceed customer service levels & transport-related KPI’s
- Research and implement cost reduction opportunities
- Support the continued development of the business’s data infrastructure
- Excellent problem-solving, task prioritization, and follow-up skills
- Ability to work well in a team environment
- Ability to work in an ambiguous environment with little guidance or supervision
- Ability to manage through conflict with a positive, flexible and professional attitude
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
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 $117,300/year in our lowest geographic market up to $202,800/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.