Amazon Sr Business Intelligence Engineer Retail Operations Initiatives 

United States, Washington, Seattle 

689299866

To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling. In this role, you will have ownership of end-to-end development of reports and solutions to complex questions and you’ll play an integral role in strategic decision-making.Key job responsibilities
Gather data and perform sophisticated analytical exercisesEmploy data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboardsDrive standardization, simplification and automation of internal processes and data productsA day in the life

- 8+ years work experience in data analysis, applied statistics or econometrics
- Prior experience in design and execution of analytical projects, specifically with large data sets
- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases.
- Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior
- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams and develop clear, thoughtful, and comprehensive analyses of marketing programs
- Strong knowledge of quantitative analytics and advanced analytical tools. Advanced SQL skills are required.

- Master’s degree or higher in economics, statistics, mathematics, econometrics, quantitative finance, or operational research, computer science or a similar quantitative field
- Proficiency with statistical tools SAS, R, Python (or similar tools) strongly preferred.
- Deep experience with data mining, data analytics, predictive modeling, and advanced modeling techniques.
- Analytical mindset and ability to see the big picture and persuade others to see the same
- Detail-oriented with an aptitude for solving unstructured problems