Senior BI Engineer: Big Data, ML & Forecasting

Amazon; Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon is seeking a seasoned Business Intelligence Engineer (BIE) to design, develop, and maintain scalable BI systems for Global Specialty Recruiting. You will work with large, multi-source data sets to deliver dashboards and reports that empower talent strategies globally.

The role emphasizes SQL, data warehousing, and ML-driven analytics, including forecasting for workforce planning and strategic decision making within a fast-paced recruiting environment.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• 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.
• 6+ years of as a Data Engineer, Business Intelligence Engineer or a related occupation experience.

Responsibilities

• Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards that will support our analytical and business needs.
• Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL, Oracle).
• Partner with business owners, tech and central teams to integrate machine-learning and automation into scaling our programs and processes.
• Work on the cutting edge of GenAI/ML for proactive and predictive analytics to de-risk global recruiting and talent decisions.
• Create forecasting models for workforce planning and organizational health data.

Skills

SQL

ETL

Python scripting

Statistical analysis

Data warehousing

Big data experience

Communication with stakeholders

Education

Bachelor's degree or related field

Tools

Oracle

Job description

Amazon is seeking a seasoned Business Intelligence Engineer (BIE) to design, develop, and maintain scalable BI systems for Global Specialty Recruiting. You will work with large, multi-source data sets to deliver dashboards and reports that empower talent strategies globally.

The role emphasizes SQL, data warehousing, and ML-driven analytics, including forecasting for workforce planning and strategic decision making within a fast-paced recruiting environment.