Amazon Business Intelligence Engineer JP Seller Services 

Japan 

834362829

The individual must be able to:
· Manage request intake independently and set right priorities based on the priorities of the entire organization.
· Manage multiple tasks simultaneously and deliver in a most efficient and effective way.
· Interact and communicate with stakeholders including senior leadership from multiple project areas effectively.
· Translate complex or ambiguous business problem statements into analysis requirements.· Derive business insights from analysis and make recommendations to the business
· Extract complex data from a large-scale Redshift database using efficient queries.
· Develop metrics tracking and automate scheduled report refresh (daily, weekly, monthly and quarterly).
· Innovate solutions that are robust, extensible and scalable.
· Ensure accuracy and reliability of the data while aligning on the globally standardized definition as needed.
· Demonstrate technical expertise (SQL, Python, Statistics, AWS technologies) to efficiently deliver BI solutions.
· Effectively communicate with Business Intelligence team in US/India on the technical blockers and requirements.
· Make technical trade-offs for long term/short-term needs
· Read business documents to understand the business priorities
· Write a document or paragraphs to outline the details of analysis, insights and recommendations
Key job responsibilities
The individual will own 2+ business domains and work closely with business partners (Product/Program/Sales Managers) in the relevant domains as well as tech partners (BIEs, Data Engineers, Data Scientist) under the following 4 pillars.[Ad-hoc Data Pull] Write SQL and pull complex data for the short/long term planning and a quick decision making. This requires good judgement on what should be supported by the BIE and self-managed by the data requester.
A day in the life

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

The salary information can be provided individually prior to the 1st interview
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