社名
社名非公開
職種
その他 コンサルタント・士業
業務内容
New Logistic Technology
Global working environment
求められる経験
Basic qualification
•Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
...
•5+ years of relevant work experience in one of the following areas: business intelligence, data engineering, data science, or business analytics.
•Experience using SQL, ETL and databases in a business environment with large-scale, complex data-sets.
•Experience with automated self-service data visualization and reporting tools. (QuickSight, Tableau, Power BI, looker, etc.)
•Experience with cloud computing platform (AWS, Microsoft Azure, GCP …etc) for creating data pipelines for data analytics.
•Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
•Experience with enterprise technology development, including Agile/Waterfall project management, source code control, change/configuration management, and production support. •Fluency in both spoken and written English.
Preferred qualification
Advanced degree in Computer Science, Mathematics, Statistics, or related discipline. •7+ years of relevant experience in data engineering or business intelligence •Familiar with statistical techniques and methodologies such as distribution analysis, correlation and hypothesis testing.
•Business-level communication in Japanese (JLPT2)
•Excited about working in a diverse group and contributing to an inclusive culture.
保険
健康保険,厚生年金保険,雇用保険,労災保険
待遇・福利厚生
社員割引制度
会員制福利厚生プログラム
従業員支援プログラム
休日休暇
日曜日,土曜日,祝日
給与
年収800 ~ 1,300万円
賞与
-
show more
社名
社名非公開
職種
その他 コンサルタント・士業
業務内容
New Logistic Technology
Global working environment
求められる経験
Basic qualification
•Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience.
•5+ years of relevant work experience in one of the following areas: business intelligence, data engineering, data science, or business analytics.
•Experience using SQL, ETL and databases in a business environment with large-scale, complex data-sets.
•Experience with automated self-service data visualization and reporting tools. (QuickSight, Tableau, Power BI, looker, etc.)
•Experience with cloud computing platform (AWS, Microsoft Azure, GCP …etc) for creating data pipelines for data analytics.
•Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports.
•Experience with enterprise technology development, including Agile/Waterfall project management, source code control, change/configuration management, and production support. •Fluency in both spoken and written English.
...
Preferred qualification
Advanced degree in Computer Science, Mathematics, Statistics, or related discipline. •7+ years of relevant experience in data engineering or business intelligence •Familiar with statistical techniques and methodologies such as distribution analysis, correlation and hypothesis testing.
•Business-level communication in Japanese (JLPT2)
•Excited about working in a diverse group and contributing to an inclusive culture.
保険
健康保険,厚生年金保険,雇用保険,労災保険
待遇・福利厚生
社員割引制度
会員制福利厚生プログラム
従業員支援プログラム
休日休暇
日曜日,土曜日,祝日
給与
年収800 ~ 1,300万円
賞与
-
show more