Amazon Business Intelligence Engineer LMAQ-BI 

India, Telangana, Hyderabad 

941972827

- Develop process to effectively maintain and disseminate project information to stakeholders.- This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done.
- Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment.- Actively seek to implement and distribute best practices across the operationKey job responsibilities
1. Lead continuous insights and analytics efforts, leveraging strong triaging skills, to identify opportunities and improvement areas for enhancing the Driver Partner (DP) experience.
2. Conduct log analysis to gather and interpret data from various sources, including station feedback forms and social media, for a comprehensive understanding of DP pain points.
3. Demonstrate proficiency in app bug reproduction, utilizing technical expertise to identify emerging defects and risks affecting the DP experience.7. Present deep dive analyses to stakeholders, providing clear visibility into key defects and DP issues. Offer actionable insights to drive meaningful improvements.
10. Embrace the ownership principle by actively participating in deep dives and escalations related to Flex processes. Create action plans within the functional area and take ownership of implementing specific actions or process changes.

- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- 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 with scripting language (e.g., Python, Java, or R)

- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis