Marketing Manager Analytics Amazon Flex
Marketing Manager Analytics Amazon Flex
Posted on :
13-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
We are seeking a selfmotivated and experienced Marketing Analytics Manager. This role is responsible for owning the analytics and reporting for the Amazon Flex marketing function and includes building and managing marketing performance dashboards owning marketing data and subsequent analysis diving deep into metrics and KPIs generating actionable insights and advising teams on the impact of marketing initiatives. It also includes building and automating use cases for areas such as performance attribution target market segmentation KPI reporting and media mix modeling. You will work crossfunctionally with worldwide stakeholders from marketing communications capacity planning BI business operations and leadership. You will also have a deep understanding of customers the business and levers for delivering results. An ideal candidate is highly analytical resourceful customer focused team oriented and have an ability to work independently under time constraints to meet deadlines. They will be comfortable with ambiguity and thrive in a changing and fastgrowing environment.
Key job responsibilities
Drive data analysis operation improvements with automation standardization and collaboration with stakeholders.
Drive newly onboarded delivery partner strategy insights by analyzing existing engagement tactics and suggesting optimizations
Provide recommendations to increase delivery partner funnel conversion yield; set input goals to ensure improvement in key conversion metrics (e.g. onboard time to first route delivery conversion yield) and engagement metrics (e.g. delivery partner satisfaction scores communication open and engagement rates) aiming for yearoveryear growth in all areas.
Collaborate with BI Capacity Planning Tech teams and additional Marketing Analysts to automate how we work backwards from engagement targets and working rates to ensure that all delivery partner recruitment targets are met on time.
Plan launch operate and optimize marketing performance dashboards.
Develop actionable insights from campaign data to improve customer acquisition engagement and retention.
A day in the life
The successful candidate has demonstrated:
Planned developed and executed marketing analytics projects with a focus on the scalability and automation.
Ability to measure effectiveness of marketing initiatives and improve iteratively.
Attention to detail including precise and effective communication skills.
Proven ability to manage multiple competing priorities simultaneously.
Ability to think strategically and execute methodically.
Ability to identify global stakeholder needs align on priorities and implement solutions that are analytical and automated.
Ability to work across intake data across multiple data types (ex: operational marketing and communications) to develop insights for respective programs.
About the team
At Amazon were working to be the most Customercentric company on earth. One customer experience that were constantly looking to take to a new level is how to coordinate the delivery of their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders no matter how large or small are delivered where and when they need them as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new logistics products and services significantly complimented by entrepreneurs like Amazon Flex. Amazon Flex crowdsources independent contractors called delivery partners to coordinate deliveries to our customers. With Amazon Flex individuals can now be their own boss delivering Amazon packages.
Bachelors degree in Marketing Business Statistics Data Science Economics Mathematics Computer Science or a related field.
4 years of experience in a noninternship marketing analytics business intelligence or a related analytical role.
Strong proficiency in SQL for querying and analyzing large datasets.
Ability to analyze data generate insights and present findings to stakeholders clearly.
Experience with bottom of marketing funnel and communicationsbased customer profiling and segmentation
Experience with reporting automation solutions such as Tableau or AWS QuickSight to streamline manual tasks
Experience using data and metrics to measure impact and determine improvements
Familiarity with retention marketing performance KPIs and understanding of how to interpret KPIs to inform future strategy
Experience in marketing analytics for an app based company/product/program
Familiarity with data engineering workflows and experience collaborating with engineering or data science teams to enhance data pipelines.
Comfort operating in a sometimes ambiguous and changing space
Handson experience with building and refining multitouch attribution models or incrementality frameworks.
Knowledge of advanced methodologies like Marketing Mix Modeling (MMM).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $70900/year in our lowest geographic market up to $151700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Drive data analysis operation improvements with automation standardization and collaboration with stakeholders.
Drive newly onboarded delivery partner strategy insights by analyzing existing engagement tactics and suggesting optimizations
Provide recommendations to increase delivery partner funnel conversion yield; set input goals to ensure improvement in key conversion metrics (e.g. onboard time to first route delivery conversion yield) and engagement metrics (e.g. delivery partner satisfaction scores communication open and engagement rates) aiming for yearoveryear growth in all areas.
Collaborate with BI Capacity Planning Tech teams and additional Marketing Analysts to automate how we work backwards from engagement targets and working rates to ensure that all delivery partner recruitment targets are met on time.
Plan launch operate and optimize marketing performance dashboards.
Develop actionable insights from campaign data to improve customer acquisition engagement and retention.
A day in the life
The successful candidate has demonstrated:
Planned developed and executed marketing analytics projects with a focus on the scalability and automation.
Ability to measure effectiveness of marketing initiatives and improve iteratively.
Attention to detail including precise and effective communication skills.
Proven ability to manage multiple competing priorities simultaneously.
Ability to think strategically and execute methodically.
Ability to identify global stakeholder needs align on priorities and implement solutions that are analytical and automated.
Ability to work across intake data across multiple data types (ex: operational marketing and communications) to develop insights for respective programs.
About the team
At Amazon were working to be the most Customercentric company on earth. One customer experience that were constantly looking to take to a new level is how to coordinate the delivery of their orders. Our goal is to exceed the expectations of all our customers by ensuring that their orders no matter how large or small are delivered where and when they need them as quickly accurately and cost effectively as possible. To meet this goal Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new logistics products and services significantly complimented by entrepreneurs like Amazon Flex. Amazon Flex crowdsources independent contractors called delivery partners to coordinate deliveries to our customers. With Amazon Flex individuals can now be their own boss delivering Amazon packages.
Bachelors degree in Marketing Business Statistics Data Science Economics Mathematics Computer Science or a related field.
4 years of experience in a noninternship marketing analytics business intelligence or a related analytical role.
Strong proficiency in SQL for querying and analyzing large datasets.
Ability to analyze data generate insights and present findings to stakeholders clearly.
Experience with bottom of marketing funnel and communicationsbased customer profiling and segmentation
Experience with reporting automation solutions such as Tableau or AWS QuickSight to streamline manual tasks
Experience using data and metrics to measure impact and determine improvements
Familiarity with retention marketing performance KPIs and understanding of how to interpret KPIs to inform future strategy
Experience in marketing analytics for an app based company/product/program
Familiarity with data engineering workflows and experience collaborating with engineering or data science teams to enhance data pipelines.
Comfort operating in a sometimes ambiguous and changing space
Handson experience with building and refining multitouch attribution models or incrementality frameworks.
Knowledge of advanced methodologies like Marketing Mix Modeling (MMM).
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $70900/year in our lowest geographic market up to $151700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Manager
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
