Business Intel Engineer III , Global Specialty Recruiting

Are you passionate about data and code? Do you want to build business intelligence solutions that process large volumes of Data? If so, Global Specialty Recruiting (GSR) is for you! The GSR Data Analytics Team within GSR is seeking a highly skilled and motivated Business Intelligence Engineer (BIE) to join our team. This is an opportunity to work on a team that develops data solutions to empower GSR recruiting teams to discover, engage, and cultivate top-tier Specialty/Executive talent at Amazon.

The BIE will build new business intelligence solutions end-to-end for our global team. The ideal candidate must possess strong analytical acumen and be comfortable drawing metric-based conclusions by managing an extensive amount of data. The successful candidate possesses superb business judgment, high degree of customer-obsession, with a track record for delivering results, team collaboration and strong analytical acumen.

Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

Key job 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

Basic Qualifications

- 6+ years of processing large, multi-dimensional datasets from multiple sources experience
- 6+ years of developing automated reporting experience
- 6+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- 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
- 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
- 6+ years of as a Data Engineer, Business Intelligence Engineer or a related occupation experience
- 6+ years of using SQL, ETL (Extract, Transform, Load), Data Warehouse experience.

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 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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually