Brand Analytics Manager, Brand Innovation Lab
AI in this role
Own measurement, KPI frameworks, and analytics for custom advertising campaigns in the Brand Innovation Lab.
You'll work with Solutions Managers, Brand Strategists, Design Technologists, and Engineers, advising on measurement strategy and tagging before campaigns launch. You answer complex questions with data, using Amazon's first-party data alongside third-party measurement products. You are comfortable using SQL to query across large datasets. You scale your measurement solutions to work across the business.
Key job responsibilities
- Define measurement plans, KPIs, benchmarks, and full-funnel measurement that work across the business
- Build self-service tools (dashboards, automated reports) that reduce dependence on ad-hoc requests
- Document measurement methodologies for use across 11+ countries
- Work with Engineering to embed measurement best practices into existing systems
- Analyse campaign results and deliver findings and recommendations to creative and strategy teams
- Present findings to internal teams and, where relevant, to advertising clients
About the team
Brand Innovation Lab builds custom ad campaigns for brands on Amazon. The Brand Analytics & Measurement team is responsible for how those campaigns are measured.
You'd be the third Brand Analytics Manager, working alongside the Head of Analytics & Measurement and another Brand Analytics Manager The team owns measurement strategy, tooling, and driving adoption of both across the organization.
Basic qualifications
- 3+ years of digital media or marketing strategy, data analysis, analytics & visualization experience
- Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
- Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python)
- Experience using very large datasets
- 3+ years of database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
Preferred qualifications
- Knowledge of security and compliance standards including HIPAA and GDPR
- 5+ years of consulting / advisory experience in advertising or retail
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
How we score this
Brand Analytics Manager, Brand Innovation Lab at Amazon scores 0 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where measurement was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where campaign strategy was part of your work. What did you do?
- Walk me through how you've used Sql in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Measurement, Analytics, Campaign Strategy, and Sql. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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