Sr. Business Intelligence Engineer , AWS GDSP 3PX

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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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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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

51% above the BLS national median for data and ml aggregate.

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

Shift type

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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

Sr. Business Intelligence Engineer , AWS GDSP 3PX Seattle, Washington, USA Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You'll develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable. Your responsibilities will include building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions,

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