Amazon Web Services, Inc.

Business Intelligence, Business Intel Engineer, Cloud Computing

Sr.BusinessIntelligenceEngineer,AWSGDSP3PX

$130–176k London, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Business Intelligence Engineer, AWS GDSP 3PX at Amazon Web Services, Inc.. Skills: Business Intelligence, Data Analytics, Forecasting Models. Lead business discussions. Share insights”

Industry & Context.

Business Intelligence, Business Intel Engineer, Cloud Computing
Problems you'll solve

Solve thorny business challenges; Analytical expertise; Identify issues; Resolve issues; Drive resolution

What They're Looking For.

Must Have

Experience with design of experiments, Experience with statistical analysis, Experience in scripting for automation, Advanced SQL skills, Experience with information retrieval, Experience with data science, Experience with machine learning, Experience with data mining, Experience working with business stakeholders, Experience with data visualization

Nice to Have

Experience managing results, Experience communicating results to senior leadership, Master's degree in statistics, Master's degree in data science, Equivalent quantitative field degree, Experience integrating datasets, Experience in application of GenAI technologies

What You'll Do.

Lead business discussions

Provide recommendations

Support development of business analytics

Support development of data models

Own quantitative analysis

Develop understanding of sales metrics

Develop understanding of reporting tools

Develop understanding of data structures

Identify and drive resolution of issues

Provide actionable intelligence

Develop relationships with sales

Develop relationships with finance

Develop relationships with sales operations

Develop processes with sales

Develop processes with finance

Develop processes with sales operations

Identify reporting issues

Address reporting issues

Manage analytical tools

Develop analytical tools

Automate inspection mechanisms

Create operational templates

Create operational processes

Compile disparate information

Standardize disparate information

Drive standardized reporting

Drive metrics tracking

Generate ad-hoc analysis

Generate ad-hoc reports

Provide actionable recommendations

Perform ad-hoc data retrieval

Perform ad-hoc analysis

Create new mechanisms

Create business processes

Simplify business processes

Standardize business processes

Enable operational excellence

How You'll Work.

Team & Collaboration

Diverse teams; Cross-functional teams; Other geographies; Sales teams; Finance teams; Sales operations teams

Communication Scope

Communicate effectively; Business discussions; Senior leadership communication

Full Job Description

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, and deliver successfully against high operational standards. 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. Key job responsibilities • L

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