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Amazon Sr Business Intelligence Engr Reader Analytics 
United States, Washington, Seattle 
998463150

10.06.2024
DESCRIPTION

Key job responsibilities
* Lead complex and ambiguous data analysis projects to identify opportunities for improvement and optimization
* Design and conduct analysis with a high bar to provide timely insights, recommendation on business strategies and tech solutions
* Break down large projects into smaller deliveries, while identifying and tackling items on critical path
* Write high quality, optimized and reproducible SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3)
* Mentor and guide junior team members in data analysis, coding best practices, and process improvement methodologies
* Work closely with product managers, engineers to build ETLs for clean and scalable data sources required for analytics and reporting
* Employ AWS technologies to increase team efficiency and BI capabilities
* Drive seamless data/reporting and insights to enable data backed decision making, and drive leadership clarity around business metrics by enabling MBRs/QBRs/OP1 discussions
* Assist in the development and execution of strategic initiatives and analytical roadmapsA day in the life
* Work with stakeholders to understand and design analytical solutions on major projects
* Seek opportunities to streamline existing process and automate for efficiency
* Attend team standup to go over existing
development, blockers and help troubleshoot issues
* Continue to adopt new technologies that benefit business

BASIC QUALIFICATIONS

- 5+ years of SQL experience
- Knowledge of data warehousing and data modeling
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience working directly with business stakeholders to translate between data and business needs


PREFERRED QUALIFICATIONS

- Experience managing, analyzing and communicating results to senior leadership
- Master's degree in statistics, data science, or an equivalent quantitative fieldPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.