Business Analyst, AMZL ACES , Amazon Logistics, ACES
Share
Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
As a core member of the AMZL ACES PMO BI & Analytics team you will contribute to the overall optimization of the last-mile operations network in Japan. Leveraging BI tools and AI technology you will build an analytical foundation that enables leadership to make swift decisions.
By applying statistical knowledge in practice and pursuing the truth behind data you will deliver insights from new perspectives beyond traditional KPIs. With a solid understanding of processes and a bias for action you will analyze and improve process challenges in a data-driven manner contributing to continuous improvement operational excellence and maximization of customer value at Amazon Logistics Japan.
AMZL ACES PMO BI & Analytics teamの中核メンバーとして日本のラストマイルにおけるオペレーションネットワークの全体最適化に貢献しますBIツールとAI技術を活用しリーダーが迅速な意思決定を行うための分析基盤を構築します
統計的知識を実務に応用しデータの背後にある真理を追究することで従来のKPIにとらわれない新しい視点からの洞察を提供しますプロセスを正しく理解する知識と行動力を持ちデータドリブンでプロセスの課題を分析して改善を行いますAmazon Logistics Japanにおける継続的な改善と卓越したオペレーションそして顧客利益の最大化に貢献します
Key job responsibilities
Design implement and operate complex data analysis projects
Develop dashboards and reports using BI tools such as QuickSight and Tableau
Conduct anomaly detection trend analysis and predictive analysis using statistical methods
Automate and streamline analysis leveraging AI/ML tools
Pursue the truth behind data and provide actionable insights
Propose data-driven analysis and recommendations for process improvement
Define and implement analysis requirements in collaboration with stakeholders
Monitor data quality and propose improvements
Demonstrate Bias for Action and deliver results
複雑なデータ分析プロジェクトの設計実装運用
QuickSightTableau等のBIツールを用いたダッシュボードレポートの開発
統計的手法を用いた異常検知トレンド分析予測分析の実施
AI/MLツールを活用した分析の自動化と効率化
データの背後にある真理を追究しアクショナブルなインサイトの提供
プロセス改善のためのデータドリブンな分析と提案
ステークホルダーとの協働による分析要件の定義と実装
データ品質の監視と改善提案
Bias for Actionを持ち結果を提供
- Bachelors degree (Computer Science Statistics Mathematics Engineering or related field)
- 3 years of practical experience in Business Intelligence Data Analytics or Data Science
- Practical SQL experience and ability to write complex queries
- Experience developing with BI tools (QuickSight Tableau Power BI etc.)
- Foundational knowledge and practical experience in statistical analysis (mean variance correlation analysis etc.)
- Experience in data analysis using programming languages such as Python or R
- Understanding of data visualization best practices
- Excellent communication skills (Japanese and English)
- Ability to correctly understand processes and analyze challenges in a data-driven manner
- Masters degree (Statistics Data Science or related field)
- Data analytics experience in AWS environments (Redshift Athena S3 etc.)
- Foundational knowledge and practical experience with machine learning and AI tools
- Experience designing and implementing ETL processes
- Analytics experience in logistics supply chain or last-mile delivery domains
- Practical experience in statistical hypothesis testing and A/B testing
- Experience in data modeling
- Lean Six Sigma Yellow Belt certification or above
- Entrepreneurial mindset with experience proactively tackling problem-solving
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
By applying statistical knowledge in practice and pursuing the truth behind data you will deliver insights from new perspectives beyond traditional KPIs. With a solid understanding of processes and a bias for action you will analyze and improve process challenges in a data-driven manner contributing to continuous improvement operational excellence and maximization of customer value at Amazon Logistics Japan.
AMZL ACES PMO BI & Analytics teamの中核メンバーとして日本のラストマイルにおけるオペレーションネットワークの全体最適化に貢献しますBIツールとAI技術を活用しリーダーが迅速な意思決定を行うための分析基盤を構築します
統計的知識を実務に応用しデータの背後にある真理を追究することで従来のKPIにとらわれない新しい視点からの洞察を提供しますプロセスを正しく理解する知識と行動力を持ちデータドリブンでプロセスの課題を分析して改善を行いますAmazon Logistics Japanにおける継続的な改善と卓越したオペレーションそして顧客利益の最大化に貢献します
Key job responsibilities
Design implement and operate complex data analysis projects
Develop dashboards and reports using BI tools such as QuickSight and Tableau
Conduct anomaly detection trend analysis and predictive analysis using statistical methods
Automate and streamline analysis leveraging AI/ML tools
Pursue the truth behind data and provide actionable insights
Propose data-driven analysis and recommendations for process improvement
Define and implement analysis requirements in collaboration with stakeholders
Monitor data quality and propose improvements
Demonstrate Bias for Action and deliver results
複雑なデータ分析プロジェクトの設計実装運用
QuickSightTableau等のBIツールを用いたダッシュボードレポートの開発
統計的手法を用いた異常検知トレンド分析予測分析の実施
AI/MLツールを活用した分析の自動化と効率化
データの背後にある真理を追究しアクショナブルなインサイトの提供
プロセス改善のためのデータドリブンな分析と提案
ステークホルダーとの協働による分析要件の定義と実装
データ品質の監視と改善提案
Bias for Actionを持ち結果を提供
- Bachelors degree (Computer Science Statistics Mathematics Engineering or related field)
- 3 years of practical experience in Business Intelligence Data Analytics or Data Science
- Practical SQL experience and ability to write complex queries
- Experience developing with BI tools (QuickSight Tableau Power BI etc.)
- Foundational knowledge and practical experience in statistical analysis (mean variance correlation analysis etc.)
- Experience in data analysis using programming languages such as Python or R
- Understanding of data visualization best practices
- Excellent communication skills (Japanese and English)
- Ability to correctly understand processes and analyze challenges in a data-driven manner
- Masters degree (Statistics Data Science or related field)
- Data analytics experience in AWS environments (Redshift Athena S3 etc.)
- Foundational knowledge and practical experience with machine learning and AI tools
- Experience designing and implementing ETL processes
- Analytics experience in logistics supply chain or last-mile delivery domains
- Practical experience in statistical hypothesis testing and A/B testing
- Experience in data modeling
- Lean Six Sigma Yellow Belt certification or above
- Entrepreneurial mindset with experience proactively tackling problem-solving
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
