Job Information
Amazon Sr. Business Intelligence Engineer, JP Seller Services in Tokyo, Japan
Description
The Marketplace business, one of Amazon’s most important growth engines, is looking for a talented Business Intelligence Engineer(BIE) to design and implement creative data-related solutions to improve Customer (CX) and Seller (SX) Experience for a groundbreaking product launch in Japan.
The ideal candidate is a hands-on BIE who excels at anticipating Customer and Seller needs, designing innovating solutions, and influencing global stakeholders at all levels of the organization. Excited about pulling complex data from large scale database using SQL, identifying designing and developing metrics that are relevant to the focus of programs, automating metrics tracking on Quicksight or Excel, diving deep into data to find opportunities for growth, estimating business impact for the new program using proxy data, and running statistical models. The ideal candidate will own good business acumen and enjoy influencing business decisions while improving operational efficiency for higher productivity.
Key job responsibilities
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.
· Effectively communicate with stakeholders/partners including senior leadership globally.
· Translate complex or ambiguous business problem statements into analysis requirements.
· Proactively identify problems with significant business impact and help business partners create actionable priorities.
· 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.
. Streamline the database and drive the 2nd order effects for a new business.
· 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.
· 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.
A day in the life
A day in the life
The individual will work with 5-10 business partners in Japan and 3-5 tech partners in JP/Global. She/he will constantly be taking in requests on data visualization, analytics, ad-hoc data pull from business partners and prioritizing them making sure to allocate sufficient time for the important work and meet the agreed timeline. Partner with software engineers to clarify requirements, design and launch within schedule and resource constraints. She/he will work closely with tech/product partners globally for creation/optimization of datamodels, metric definition/data source standardization. She/he will be allocating 10% of the time on the routine work.
About the team
If you are passionate about building pioneering solutions to improve Customer and Seller experience, we cannot wait to have you join our team.
Various Working Systems for Work Life Harmony
We believe that it is important to spend private time such as spending time with your family or doing anything you like to spur innovation. Amazon promotes a fulfilling and flexible work style according to the work volume and lifestyle of each employee. (Example: Flex Time, Maternity/Parenting/Family Care Leave etc.)
Basic Qualifications
5+ years of SQL experience
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
Business level of English and Conversational level of Japanese
Preferred Qualifications
Experience working directly with business stakeholders to translate between data and business needs
Experience managing, analyzing and communicating results to senior leadership
Amazon
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