Amazon Business Intel Engineer - Amazon Robotics 

United States, Massachusetts 

11402622

Key job responsibilitiesA day in the life
• Collaborate with a diverse range of stakeholders, both technical and non-technical, to provide comprehensive BI solutions.• Develop and refine a robust data architecture and reporting framework by navigating various business criteria to ensure data accuracy and reliability.• Own creating, evolving, and managing essential metrics, reports, analyses, and dashboards that drive key business decisions.• Uphold high standards in reporting and analytical practices, focusing on data accuracy, experimental design, methodologies, validation processes, and thorough documentation.• Build knowledge regarding advancements in technology, tools, methodologies, and best practices in analytics, and disseminate this knowledge within the team.• Extract valuable insights from client feedback and operational data, propose actionable recommendations, and support GO-AI leadership in making pivotal business decisions.• Design and execute studies to assess the impact and efficiency of various initiatives, supporting the improvement of key performance indicators and influencing the strategic direction in the long term.1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor's degree in statistics, business analytics, data analytics, data science, computer science or related field
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience in designing and implementing custom reporting systems using automation tools
- Confidence in collaborating with technical and non-technical senior level staff.

- Master's degree
- Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
- Knowledge of data modeling and data pipeline design
- Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
- Comfort with ambiguity and eagerness to learn new skills.