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Home›Jobs›Amazon›Business Intelligence Engineer, AMXL JP
Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA⭐ 3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

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Amazon

Business Intelligence Engineer, AMXL JP

Amazon • Tokyo, JPN

Posted 4 months ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Tokyo
Apply Now →

Job Description

Are you excited to drive high-visibility, strategic logistics and technology solutions? AMXL Japan is looking for a Business Intelligence Engineer to build and maintain data pipelines, reports, and dashboards necessary for business operations while delivering impactful insights through data analysis.

At Amazon, we're working to be the most customer-centric company on earth. We operate one of the largest e-commerce businesses in Japan. Our supply chain logistics is becoming more complex every day under continuous growth of Amazon Japan. We are looking for a Business Intelligence Engineer to create and improve indicators and dashboards related to transportation, stable operation and efficiency of operations using AWS and Amazon internal tools.


Key job responsibilities
- Design and implement data pipelines, reports, and dashboards to deliver metrics and insights that drive business decisions
- Build and maintain automated reporting solutions while ensuring data quality and reliability
- Partner with stakeholders to understand business requirements and translate them into technical specifications
- Develop and maintain documentation for data processes, metrics definitions, and analytical solutions
- Create and optimize SQL queries and scripts for data extraction and transformation
- Collaborate with data engineering teams to improve data infrastructure and visualization platforms

A day in the life
You begin your day participating in business reviews to stay aligned with critical network metrics and performance indicators. You collaborate with strategy & ops teams to understand key analytics challenges and build sustainable data solutions. You develop and maintain data pipelines, create insightful dashboards, and ensure data quality across systems. Working closely with stakeholders, you translate business requirements into technical solutions. You take business trips within and outside Japan as needed to enhance your skills and validate solutions. When analytical challenges emerge, you leverage your technical expertise to deliver effective solutions.

About the team
AMXL JP team is a single threaded organization that owns Amazon's end-to-end Heavy & Bulky (H&B) logistics network with our willing and equally customer obsessed partners, offering shipping, service & support for consumers and companies in a safe, reliable, seamless, standardized, and sustainable way that surprises and delights our customers. Our delivery partners are experienced in H&B deliveries, providing special handling services such as Room of Choice Delivery, Installation/Assembly and Recycling/Haul-Away.

Our team is made up of a diverse group of individuals across operations, supply chain, tech, finance, planning, customer experience, business intelligence and program management that work closely and collaboratively across Amazon to constantly improve and scale our operations, always insisting on the highest standards and obsessing over delivering bigger smiles for our customers.- Bachelor's degree in sciences, engineering, finance or equivalent
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with forecasting and statistical analysis
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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