Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation

Key job responsibilities

• Work directly with the models/data.
• Work with large data sets and the technical tools needed to work with them.
• Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL).
• Build data models leveraging Python.
• Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes.
• Use analytical and statistical rigor to solve complex problems and drive business decisions.
• Drive towards simple, scalable solutions to difficult problems.
• Project-manage multiple workflows and communicate complex analytical results, both written and verbally.
• Work with key business stakeholders to understand requirements and shape analytical deliverables.
• Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally.

About the team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.

Basic Qualifications

• 5+ years of SQL, ETL or Oracle experience
• 5+ years of performing statistical analysis experience
• 1+ years of developing automated reporting experience
• Experience programming to extract, transform and clean large (multi-TB) data sets
• 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
• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.