Amazon Web Services, Inc.
Technology
BusinessIntelligenceEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Intelligence Engineer at Amazon Web Services, Inc.. Skills: Business Intelligence, Data Analysis, Data Engineering. Analyze marketing drivers and customer behavior. Support decision making on content evaluations”
Industry & Context.
Solving complex problems
What They're Looking For.
Must Have
3+ years analyzing data with Redshift, Oracle, NoSQL, 3+ years SQL, ETL, or Oracle experience, 3+ years processing large, multi-dimensional datasets, Experience with data visualization using Tableau, Quicksight, or similar, 3+ years performing statistical analysis, 3+ years developing automated reporting, Experience developing and presenting recommendations for new metrics, Experience using SQL to pull data, Scripting experience (Python) to process data
Nice to Have
Experience with AWS solutions (EC2, DynamoDB, S3, Redshift), Experience in data mining, ETL, Experience using databases in a business environment with large-scale, complex datasets
What You'll Do.
Analyze marketing drivers and customer behavior
Support decision making on content evaluations
Support decision making on marketing strategy
Interact with stakeholders to understand use cases
Build data queries for ad hoc uses
Perform deep-dives on data-pipeline
Provide data and insights for building marketing measurement
Manage cross organizational program for providing quality data
Gather detailed requirements from stakeholders
Understand manual processes and pain points
Serve as liaison between engineering and stakeholders
Identify opportunities to solve problems using technology
Design automation solutions
Implement automation solutions
Manage cross organizational Data programs
Respond to ad hoc requests
Communicate on program updates
Run Tech prioritization mechanism
Write document for leadership review
How You'll Work.
Team & Collaboration
With Data Engineers; With Data scientists; With Marketing media managers; Cross organizational program
Communication Scope
Presenting recommendations; Sharing regular updates; Document writing; Communicate on program updates; Write document for leadership review
Process & Methodology
Program management
Full Job Description
Amazon is seeking a Business Intelligence Engineer to analyze marketing drivers and customer behavior for Prime Video content. This role supports a business critical to Amazon Prime subscriptions, and more specifically decision making on Prime Video content evaluations and marketing strategy. Key job responsibilities • Interacting with stakeholders (technical and non-technical) to understand primary use cases and questions. • Building data queries for ad hoc uses, dashboards, and deep-dive on data-pipeline. • Working with Data Engineers, Data scientists and Marketing media managers to provide data and insights for building Prime Video marketing measurement insights. • Managing cross organizational program for providing quality data for Prime Video Science models. Strong in communication and document writing for sharing regular updates on programs. A day in the life A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. • Gather detailed requirements from stakeholders to understand their manual processes and pain points. Serve as the liaison between the engineering team and Prime Video stakeholders. • Think creatively to identify opportunities to solve problems using technology-driven solutions. • Design and implement optimal automation solutions to address stakeholder needs. • Manage cross organizational Data programs. Respond to ad hoc requests, and communicate on program updates. • Run Tech prioritization mechanism, and write document for leadership review on program updates. About the team The Prime Video Science Tech (PVS Tech) team builds data and software products, tools and infrastructure to increase Prime Video efficiency in marketing measurements and content evaluations. We build complex data products to provide insights into customer segme
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