Job ID: 2680727 | Amazon.com Services LLC
FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.
This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.
Key job responsibilities
- Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements.
- Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domains.
- Own analytics for key domains across inventory optimization services and deliver self-service analytics at scale.
- Own data governance and stewardship for business critical metrics that influence technology investment decisions.
- Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.
- Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
- Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- 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 with AWS technologies
- 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
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
