Amazon Sr Business Intelligence Engineer JP Seller Services 

Japan 

203263356

The individual must be able to:- 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 complex data from large-scale Redshift databases using efficient queries.
- 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.
- Make appropriate technical trade-offs between long-term and short-term needs.- Write clear documentation outlining analysis details, insights, and recommendationsKey job responsibilities
The individual will own 2+ business domains and work closely with business partners (Product/Program/Sales Managers) and technical partners (BIEs, Data Engineers, Data Scientists) across the following four pillars:[Data Visualization][Ad-hoc Data Pull]
Write SQL queries and extract complex data for short/long-term planning and quick decision-making. This requires good judgment in determining what should be supported by BIEs versus self-managed by data requesters.[Operational Efficiency]
A day in the life- Align on requirements with stakeholders through various channels (meetings, Slack, in-person discussions)
- Develop and maintain data visualizations and analytics solutions
- Participate in global technical discussions about metric standardization, data source alignment, database optimizations and other initiatives
You will dedicate approximately 5% of time to routine operational tasks.

- 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