Marketing Analytics Expert - AI Environments

Mercor; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Mercor in London seeks a hands-on Marketing Analytics specialist to design and pressure-test AI training environments for marketing work. You will own key tasks from briefing designs to artifact specification.

You will review reference answers, set evaluation criteria, and judge AI attempts against your standards, spanning anomaly detection, channel performance synthesis, and attribution reading.

Qualifications

• Hands-on practitioner experience in marketing analytics.
• Ability to own and deliver end-to-end analytics tasks.
• Clear written reasoning to explain decisions.

Responsibilities

• Design task briefs from real marketing analytics work.
• Specify required documents, dashboards, personas and tool states.
• Write or review reference answers and evaluation criteria.
• Review AI agent attempts and judge against your standards.

Skills

Marketing analytics

Hands-on practitioner

Written reasoning

Task design

Tools

Google Analytics 4

Amplitude

Salesforce

ad platform reporting

Job description

About the work

We are building high-fidelity simulated work environments used to evaluate and improve AI agents on real marketing work. Each environment reproduces a marketing org's actual tool surface — email, storage, CRM, project management, social media management, web analytics, AEO/SEO, ads, CMS, product analytics and support — populated with realistic documents, dashboards, personas and deliberately planted problems.

You will help design and pressure-test the Marketing Analytics environments: the briefs, the artifacts, the judgment calls a strong practitioner would make, and the errors a weaker one would miss.

What you will do

• Design task briefs drawn from work you have actually done in marketing analytics, including what the task is really testing — the planted issue and the decision a strong practitioner should reach
• Specify the documents, dashboards, personas and tool states a realistic version of that task requires
• Write or review the reference answer and the criteria that separate a strong response from a plausible-but-wrong one
• Review AI agent attempts and judge them against your own standard

Tasks span the capabilities we measure: diagnosing what happened from messy or conflicting data, prioritizing and making tradeoffs, planning and executing, QA and reconciliation, triage and escalation, research and evaluation, reporting, and orchestrating multi-step work across several tools.

Marketing Analytics scope

Anomaly detection, channel-performance synthesis, cross-source reconciliation, attribution and incrementality reading, and reporting that supports an actual decision.

Who we are looking for

• Hands-on practitioner experience in marketing analytics — you have owned this work, not only managed people who do it
• Fluent in the tools of the domain: Google Analytics 4, a product analytics tool such as Amplitude, a CRM such as Salesforce, and ad platform reporting
• Prior experience building AI training environments, RL environments or simulated case studies is strongly preferred
• Rubric Academy or Rubric Bootcamp certification is strongly preferred
• Clear written reasoning — much of the value is in explaining why a decision is right

Screening

Applicants complete a short multiple-choice knowledge screener specific to this sub-domain before review.