Six Figure Work

Brand Analytics Manager, Brand Innovation Lab

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $144,500  to $195,400

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($144,500) is above 29% of the 611 Data & ML roles in New York listed on this site. Their median floor is $170,000; the middle half runs from $140,000 to $197,300.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Brand Analytics Manager, Brand Innovation Lab (this listing)$144,500 - $195,400
Design Technologist II, Elevated Shopping Experience$145,000 - $196,100
Senior Industrial Designer$145,200 - $196,500
Data Center Area Operations Manager$145,400 - $254,500
MDD DCO Cluster Manager$145,400 - $254,500
Data Center Area Operations Manager, Data Center Operations$145,400 - $254,500
Data Center Operations Cluster Manager$145,400 - $254,500

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-09-18
Where this pay comes from

Location as the employer wrote it: US, NY, New York

USA, NY, New York - 144,500.00 - 195,400.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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