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The everything store and cloud computing leader
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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 ...
Business Intelligence Engineer, Multi-Channel Commerce Fulfillment
Amazon • Bengaluru, Karnataka, IND
Skills & Technologies
Job Description
Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you!
The ARCADE (Amazon Retail Customer Data Engineering) Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multi-Channel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns.
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs.
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
About the team
Amazon's Multi-Channel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multi-Channel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels.
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales.
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes—both on and off Amazon's platform.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Bachelor's degree or above in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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.
The ARCADE (Amazon Retail Customer Data Engineering) Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multi-Channel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns.
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs.
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
About the team
Amazon's Multi-Channel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multi-Channel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels.
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales.
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes—both on and off Amazon's platform.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Bachelor's degree or above in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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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