Business Intelligence Engineer III, CMT
2 weeks ago
DESCRIPTION
The CMT Data Platform and Analytics Team leads pricing analytics to optimize Amazon products price perception and competitiveness. We seek a Senior Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This position combines strategic planning with direct implementation. The role requires demonstrated analytical capabilities, proven experience with business intelligence solutions, and the ability to collaborate across CMT product teams.
The BI Engineer will own complex reporting systems, develop automated solutions, and deliver actionable insights to drive business decisions. We seek candidates who can navigate complex pricing programs independently, design and implement scalable BI solutions, partner with CMT and Retail teams to optimize reporting systems, and transform data into clear, actionable recommendations.
As part of Amazon's commitment to maintaining customer trust, this role directly impacts our pricing strategy and market positioning. The ideal candidate should be able to work independently, quickly absorb the nuances of Amazon's varied pricing programs, and contribute effectively to our fast-paced environment.
Key job responsibilities
1. Working closely with the multiple CMT business, product/program teams to understand the business drivers, data availability and product challenges. This will require data gathering and manipulation, synthesis and modeling and problem solving.
2. Assist in the development of key product metrics and performance indicators to measure overall performance of the business as well as product contributions to the business.
3. Build self-service reporting platforms, establishing automated processes for large scale data analysis.
4. Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests).
5. Manage the data infra-structure for the CMT central analytics team, deciding which data sources to leverage in the process, including influencing teams to assure data is consistent and accurate.
6. Own end-to-end data architecture for new product launches.
BASIC QUALIFICATIONS
- 8+ 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
- Bachelors Degree or Equivalent
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