Sr. Business Intelligence Engineer , AWS GDSP 3PX
About the role
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.
Responsibilities
- Lead business discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing.
- Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services.
- Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools.
- Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues.
- Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes.
- Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking.
- Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.
Requirements
The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision against questions with a high degree of ambiguity.
Qualifications
- Experience with theory and practice of design of experiments and statistical analysis of results.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining.
- Experience working directly with business stakeholders to translate between data and business needs.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
Preferred Qualifications
- Experience managing, analyzing and communicating results to senior leadership.
- Master's degree in statistics, data science, or an equivalent quantitative field.
- Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story.
Skills
Experience with theory and practice of design of experiments and statistical analysis of results
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience with theory and practice of information retrieval, data science, machine learning and data mining
Experience working directly with business stakeholders to translate between data and business needs
Experience with data visualization using Tableau, Quicksight, or similar tools
Benefits
Work/Life Balance
Inclusive Team Culture
Mentorship and Career Growth
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 here for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
USA, NY, New York - 143,400.00 - 194,000.00 USD annually
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10404369