Amazon Sr Business Intelligence Engineer JP Seller Services 

Japan 

361996643

Core Competencies:- Manage request intake independently and set priorities based on organizational needs.
- Manage multiple tasks simultaneously and deliver in the most efficient and effective way.
- Interact and communicate effectively with stakeholders, including senior leadership from multiple project areas.
- Translate complex or ambiguous business problems into clear analysis requirements.
- Extract data from large-scale Redshift databases using optimized SQL queries.
- Design and implement data pipelines specific to Japan-unique business requirements.
- Develop metrics tracking and automate scheduled report refreshes (daily, weekly, monthly, and quarterly).
- Design and implement robust, extensible, and scalable solutions.
- Ensure data accuracy and reliability while adhering to globally standardized definitions.
- Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) in delivering BI solutions.
- Effectively communicate technical blockers and requirements with Business Intelligence teams in US/India.
- Balance technical trade-offs between long-term scalability and short-term deliverables.- Write clear documentation outlining analysis details, insights, and recommendations.Key job responsibilities
[Data Visualization][Ad-hoc Data Pull]
Design and execute SQL queries to extract complex data for short/long-term planning and quick decision-making. This requires good judgment in determining what should be supported by BIEs vs. self-managed by data requesters.[Operational Efficiency]
A day in the life
- Taking BI requests through SIM ticketing system
- Collaborating with stakeholders to align on requirements via multiple channels (meetings, Slack, in-person discussions)
- Balancing priorities while evaluating speed vs. quality tradeoffs

- 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 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