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Home›Jobs›Amazon›Business Intelligence Engineer, NACP Analytics
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, NACP Analytics

Amazon • Bellevue, Washington, USA

Posted 6 months ago🏛️ On-SiteSeniorBusiness intelligence engineer📍 Bellevue
Apply Now →

Job Description

Are you excited to drive high-visibility, strategic Analytics solutions to help streamline Amazon's capacity planning? NACP - Analytics & Science is seeking an experienced Senior BIE, to lead the business analytics, science & automation in partnership with Data Scientists, Supply Chain leaders and Engineers. Our mission is to simplify analytics with innovative Data/Science products.

This role is for a motivated individual with strong analytical, technical background to join us as Senior BIE. You will be responsible for designing and supporting best-in-class business analytics solutions and help leadership make impactful business decisions. You will own the design, development of analytics & science solutions to support key Capacity Planning initiatives. You will continue to raise the bar for creating scalable, efficient , automated processes for large-scale data analysis.


Key job responsibilities
- Partner extensively with Capacity Planning leaders and Supply Chain Planners proactively identify analytical needs, translate them to BIE/Science solution designs
- Design, develop, test solutions to ensure data management processes, visualization outputs are accurately representing the business insights
- Develop best practice to reduce coding effort by reuse where applicable; replace complex data handling steps with innovative design and simpler tools/utilities
- Work backwards from business KPIs used in operational decisions to design predictive science-based automation solutions
- Use AWS S3, Redshift, Athena, Quicksight, Tableau, LLM to produce reliable solutions. Enable seamless integration between BIE solutions and Strategic Planning, Excel models
- Mentor BIEs on the team. Partner with Data Scientists, Data Engineers and Product Managers to identify innovation opportunities and scale solutions

A day in the life
Successful candidate is a self-starter, comfortable with highly ambiguous opportunities and capable of working in a fast-paced environment with strong attention to detail.
They collaborate directly with customers (Sr. Manager, Principal Supply Chain Managers and Principal PMTs) to translate business issues to technical opportunity statements/requirements along with design concepts.
They collaborate cross functionally inspiring peers and stakeholders to adopt highest quality solutions and simplify processes.

About the team
NACP (North America Capacity Planning) oversees capacity planning for Amazon warehouses and IXDs. We plan and design Amazon warehouses and influence multiple retrofit projects to improve supply chain productivity. NACP is the cornerstone for optimizing ASIN placements in Amazon FCs, which improves Cost to Serve and Delivery Speed metrics for Amazon. The NACP team plays a critical role in establishing the foundation for Amazon warehouse network for maintenance and expansion over a 1-5 year horizon.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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