Business Analyst, AMZL ACES , Amazon Logistics, ACES

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Business Analyst, AMZL ACES , Amazon Logistics, ACES Tokyo, JPN As a member of the AMZL ACES PMO BI & Analytics team, you will support the overall optimization of the last-mile operations network in Japan. Through report development using BI tools and data analysis using statistical methods, you will support leadership decision-making. With a mindset of pursuing the truth behind data, you will challenge yourself to analyze from new perspectives beyond conventional frameworks. While deepening your understanding of processes and honing your ability to discover and analyze challenges in a data-driven manner, you will contribute to continuous improvement and maximization of customer value at Amazon Logistics Japan. AMZL ACES PMO BI & Analytics teamのメンバーとして、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をサポートします。BIツールを活用したレポート作成、統計的手法を用いたデータ分析により、リーダーの意思決定を支援します。 データの背後にある真理を追究する姿勢を持ち、従来の枠にとらわれない新しい視点での分析にチャレンジします。プロセスを理解し、データドリブンで課題を発見・分析する能力を磨きながら、Amazon Logistics Japanにおける継続的な改善と顧客利益の最大化に貢献します。 Key job responsibilities ・Develop and maintain dashboards and reports using BI tools (QuickSight, Tableau, etc.) ・Extract, aggregate, and analyze data using SQL ・Conduct basic data analysis using statistical methods (mean, variance, anomaly detection, etc.) ・Check data quality and propose improvements ・ Create and distribute regular reports ・ Respond to analysis requests from stakeholders ・ Learn and apply best practices in data analysis ・ Share knowledge and create documentation within the team ・Deepen process understanding and contribute to data-driven issue discovery Basic Qualifications: - Bachelor's degree (Computer Science, Statistics, Mathematics, Engineering, or related field) - 1+ year of practical experience in Business Intelligence, Data Analytics, or Data Science - Basic SQL knowledge and experience in data extraction and aggregation - Experience using BI tools (QuickSight, Tableau, Power BI, etc.) - Basic knowledge of statistics

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