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Home›Jobs›Amazon›Senior BIE Manager III
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

Senior BIE Manager III

Amazon • Austin, Texas, USA

Posted 3w ago🏛️ On-SiteSeniorBusiness intelligence engineer📍 Austin
Apply Now →

Skills & Technologies

Analytics engineerData analysisReportingBusiness intelligence

Job Description

Leads the Product & E-commerce Analytics team in supporting Whole Foods Market's digital presence through data-driven insights and analytics. Oversees the delivery of analytics solutions across the product development lifecycle, from entitlement through implementation and ongoing business operations. Partners with Product and E-commerce teams to drive decision-making through data analysis, reporting, and insights generation.


Key job responsibilities
Team Leadership & Development
• Manages and develops a team of analysts and business intelligence engineers (BIEs)
• Sets team priorities and ensures alignment with Product & E-commerce objectives
• Facilitates team member growth and career development
• Establishes best practices for analytics delivery and documentation

Analytics & Insights
• Oversees development and maintenance of recurring reporting frameworks (e.g., XBRs) for Product and E-commerce performance
• Leads analysis of key performance indicators (KPIs) across digital products, under the roof tech, and e-commerce platforms
• Directs the design and implementation of analytics solutions for new product initiatives
• Ensures quality and consistency of analytical outputs across team deliverables

Product Development Support
• Partners with product teams throughout the development lifecycle to define success metrics and measurement approaches
• Guides analytics strategy during product entitlement phases
• Oversees implementation of measurement frameworks for new products and features
• Maintains analytics documentation and knowledge base for product initiatives

Business Partnership
• Serves as primary analytics partner to E-commerce leadership
• Translates complex analytical findings into actionable business recommendations
• Builds and maintains relationships with cross-functional stakeholders
• Identifies opportunities for data-driven optimization of digital products, programs, and customer experience

Success Metrics
• Team effectiveness in supporting product development and e-commerce initiatives
• Quality and timeliness of analytics deliverables
• Stakeholder satisfaction with analytics support
• Development and retention of team talent
• Implementation of scalable analytics solutions
• Impact of insights on business decisions and outcomes

This role reports to the Executive Leader, E-commerce Business and works closely with Product Management, E-commerce, Operations, Marketing Analytics, and Technology teams to drive data-informed decision-making across the digital business.
- 2+ years of direct management experience
- Bachelor's degree in Analytics, Engineering, Computer Science, or a related field
- 6+ years of business intelligence and analytics experience
- 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
- Experience with data visualization using QuickSight, Tableau, or similar tools
- Experience with R, Python, or other statistical software- Master's degree in Business, Economics, Statistics, Engineering, or a related field
- Knowledge of Six Sigma tools and Lean techniques
- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)

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 $128,600/year in our lowest geographic market up to $212,600/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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