Amazon.com Services LLC
Marketing PR, Marketing, operations
SrMarketingAnalyticsManager,MarketingTechnologyandOperations
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“Sr Marketing Analytics Manager, Marketing Technology and Operations at Amazon.com Services LLC. Skills: Marketing analytics, Data hygiene, Automated reporting, AI analytics. Lead Marketing Analytics function. Define analytics strategy”
What You'll Achieve.
Understand performance; Optimize channel investments; Make better decisions; Reduce manual reporting; Improve data quality; Detect anomalies; Generate insights; Increase scalability; Eliminate reporting defects; Improve operational efficiency
Industry & Context.
Data-driven decision making; Problem-solving; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
6+ years marketing experience, Use data and metrics, Experience with Excel, Experience with Tableau, Knowledge of analytics tools, Knowledge of web traffic reporting, Experience using SQL
Nice to Have
Experience using SQL, Experience with customer segmentation, Experience with customer profiling, Experience with customer targeting, Master's degree in marketing, Master's degree in economics, Master's degree in business, Knowledge of basic modeling techniques, Linear regression knowledge, ANOVA knowledge
What You'll Do.
Lead Marketing Analytics function
Define analytics strategy
Measure marketing effectiveness
Partner with stakeholders
Translate business needs
Apply analytics to use cases
Identify AI opportunities
Implement AI opportunities
Build automated reporting inputs
Enable self-service access
Establish measurement frameworks
Define metric definitions
Define attribution logic
Define analytical standards
Maintain data hygiene standards
Ensure data is tracked
Support development of data models
Support development of reporting infrastructure
Support development of attribution logic
Identify opportunities to reduce manual work
Eliminate reporting defects
Improve operational efficiency
Present analytical findings
Present strategic recommendations
Influence marketing investment decisions
Establish measurement approaches
Make high-judgment trade-offs
Lay foundation for data model
Develop measurement strategies
Develop automation solutions
Present insights to leaders
Build reliable reporting processes
Build scalable reporting processes
How You'll Work.
Team & Collaboration
Partner with Marketing; Partner with BIE; Partner with MarTech; Partner with business stakeholders; Work with MarTech teams; Partner with BI teams; Partner with MarTech teams
Communication Scope
Present findings; Present recommendations; Present insights
Full Job Description
Amazon Transportation is seeking a Senior Marketing Analytics and Data Hygiene Lead to own marketing measurement, automated reporting, dashboarding, data quality, and AI-enabled analytics across multiple transportation marketing teams. This role will help marketing leaders understand performance, optimize channel investments, and make better decisions through timely, accurate, and actionable insights. The ideal candidate is a senior analytics professional with experience working on marketing use cases such as campaign measurement, audience segmentation, channel performance, lifecycle marketing, attribution, and marketing funnel analysis. This person will define measurement frameworks, improve data hygiene, automate manual reporting, and identify opportunities to use AI to improve reporting accuracy, reduce manual work, detect anomalies, and scale insight generation. Key job responsibilities Lead the Marketing Analytics function across multiple Amazon Transportation teams. Define and execute the analytics strategy for measuring marketing effectiveness across email, events, paid media, organic search, lifecycle campaigns, and other marketing channels. Partner with Marketing, BIE, MarTech, and business stakeholders to understand business needs and translate them into scalable analytical solutions. Apply analytics to marketing use cases such as campaign performance measurement, audience segmentation, attribution, funnel analysis, channel optimization, lead quality, and customer engagement trends. Identify and implement opportunities to use AI and automation to reduce manual reporting, improve data quality, detect anomalies, generate insights, and increase the scalability of marketing analytics. Build and maintain automated reporting inputs for Weekly Business Reviews, Monthly Business Reviews, Monthly Performance Reports, and Quarterly Planning Reports. Develop dashboards using QuickSight, Tableau, or similar tools to enable self-service access to marketing performance
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