Brand Analytics Manager, Brand Innovation Lab

Amazon is hiring a Brand Analytics Manager, Brand Innovation Lab in New York, United States. It pays $145k-$195k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include SQL, Python and Tableau.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Own measurement, KPI frameworks, and analytics for custom advertising campaigns in the Brand Innovation Lab.

SQLPythonTableauPower BIQuick SightSparkHadoopKafka

data-analysismeasurementanalyticscampaign-strategy

The Brand Analytics Manager owns measurement across custom advertising campaigns: defining KPI frameworks, building shared tooling, and ensuring the business measures consistently rather than campaign by campaign. Brand Innovation Lab runs these campaigns for major brands across Amazon.

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 rate this

Brand Analytics Manager, Brand Innovation Lab at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Brand Analytics Manager, Brand Innovation Lab is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $145k-$195k a year.
The role is based in US, NY, New York.
The job was posted on September 18, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisMeasurementAnalyticsCampaign StrategySQLPythonTableauPower BI

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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