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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.· 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.
· 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.
Various Working Systems for Work Life Harmony
- 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
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