Do you have a passion for enabling proprietary measurement and reporting solutions that will drive critical business decisions? Do you want to help drive data strategy for a highly visible tool that generates long term value for one of the largest brands globally? Do you thrive in an extremely fast-paced and ambiguous start up environment backed by a large complex advertiser? If yes, then the Amazon MODE (Media Operations, Data and Execution) team is right for you. As a Sr. Media Data Analyst for MODE’s tool, RAFT (Reporting and measurement module), you will be working in a cross functional role to consult with stakeholders, support product updates and prioritize 3rd party measurement onboarding strategies to unlock core brand metric features to be used for in flight optimization. You will also be in a supporting role cross functionally for finding complex media challenges such as cross-channel holistic reach and frequency working with our external agency partners, industry groups and internal product teams.
Key job responsibilities
- Developing 3P data /measurement provider performance criteria and oversee campaign operations and measurement strategy
- Identify discrepancies in reporting dashboard and finding solutions long term with suppliers to mitigate issues, particularly with onboarding 3rd party data and mapping
- Develop performance criteria of data suppliers and mechanism to track data quality and timeliness for QBRs and gathering metrics from reporting for MBRs
- Consult with teams internally about identifying and implementing metrics for optimization to improve brand strength results
- Develop RAFT expansion criteria for new countries and stakeholders across Amazon
A day in the life
- Evolve RAFT roadmap with product team to enable usage globally
- Develop optimization strategies for brand objectives in flight developed by correlation analysis to achieve long term brand improvement such as attention, ad recall etc
- Document POVs, best practices in 3P measurement and data collection for leadership mechanisms
- Develop projections and R/F tracker for measurement result forecasting and MMM input
About the team
Global Media Data Standards team at MODE prioritizes the standardization of our naming of campaigns, digital data naming and draws upon media knowledge for governing automated data systems- 6+ years of professional non-internship marketing experience
- 5+ years analyzing media performance, addressing customer needs
- 3+ years experience with brand lift study providers and/or media mix model providers for data requirements, pacing and model output- Experience with ad server data, social media platform data, site served data from publishers and Google
- Working cross functionally to develop reporting and visualization tools for marketing teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $112,800/year in our lowest geographic market up to $186,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
