Business Intelligence Engineer

Job Type
7,500,000 JPY - 10,000,000 JPY per year (negotiable based on experience)
Japanese Level
Advanced (JLPT Level 1)
English Level
Advanced (TOEIC 860)
Start Date


A world famous global tech firm is looking for a Business Intelligence Engineer.

The company launched a new marketplace in 2017, with the goal of fulfilling the procurement needs of businesses of every size - from small business to large multi-national organization, as well as institutional buyers like universities, schools and public offices. Customers benefit from a range of business-tailored features, including reporting and analytics to gain visibility into their business spending. Businesses can take advantage of business-exclusive pricing and quantity discounts.

The selected candidate will work on this marketplace.

As a Business Intelligence Engineer, you will play a key role in creating the product vision and roadmap. You will collect information from business teams, and build systems, dashboards, recommendations, and tools that have a lasting impact on their customers.




【会社概要 | Company Details】
Big Four tech companies, famous global tech firm known for its customer-centric policy and a full range of employment benefits.

【就業時間 | Working Hours】
9:00 - 18:00(Mon - Fri)

【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays

【待遇・福利厚生 | Services / Benefits】
Social insurance, Transportation Fee, Skillhouse Benefit

Required Skills

‐ Experience as a Business Intelligence Engineer, Data Engineer, or similar roles
‐ Experience with SQL, extract data from multiple large scale Redshift databases using efficient queries
‐ Knowledge of R, Python or similar scripting languages with applications for data analysis (pandas, skikit-learn, stats packages)
‐ Passion for metrics and quantitative analysis

‐ ビジネスインテリジェンスエンジニア、データエンジニアの経験
‐ SQLの使用経験、クエリを使用し、複数の大規模Redshiftデータベースからデータを抽出するスキル
‐ R、Python、またはデータ分析用アプリケーション(pandas、skikit-learn、statsパッケージ)の知識
‐ メトリックと定量分析への関心

Preferred Skills

‐ Advanced Degree in Computer Science, Statistics, Econometrics, Mathematics or related quantitative field or MBA with a concentration in Quantitative Analysis
‐ Knowledge of AWS technologies (Redshift, EC2, S3, EMR, Quicksight)
‐ Machine Learning experience (classification, clustering, ranking)
‐ Experience with data visualization (Tableau, Power Pivot, QuickSight) and dashboard building.
‐ Knowledge of Microsoft technologies (MSSQL, SSAS, SSIS) and OLAP concepts

‐ コンピューターサイエンス、統計学、計量経済学、数学、または関連する定量分野の高度な学位、または定量分析MBA
‐ AWSテクノロジーの知識 (Redshift、EC2、S3、EMR、Quicksight)
‐ 機器学習の経験(分類、クラスタリング、ランキング)
‐ データ視覚化(Tableau、Power Pivot、QuickSight)、ダッシュボードの構築経験
‐ Microsoftテクノロジー(MSSQL、SSAS、SSIS)及びOLAP概念の知識