Amazon Analytics Insights Lead Private Pricing PPA & 

United Kingdom, England, London 

297943667

The responsibilities will be to measure, report, and track deal metrics, analyze and report the deal pipeline with active and closed deals, conduct revenue & commit analysis, conduct sensitivity and what-if analysis, forecast committed and usage revenue, and provide business reporting.Key job responsibilities
• Lead sales executive 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.
• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems,
• Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
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- 5+ years experience of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data modeling, warehousing and building ETL pipelines.
- 5+ years experience with data visualization using Tableau, QuickSight, or similar tools. 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