Remote | Marketing Analytics Manager — $50–$90/hour

24-Mag•New York, NY

3d•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for experienced marketing analytics professionals with hands-on expertise in performance measurement, attribution, incrementality, channel analysis, anomaly detection, and cross-platform reporting. This role focuses on designing and evaluating realistic marketing analytics environments that reflect the tools, data sources, workflows, and judgement calls encountered in professional marketing organisations. Selected experts will create authentic scenarios, define expected outcomes, review completed work, and establish standards that distinguish strong analytical judgement from plausible but incorrect conclusions.

Requirements

Hands-on professional experience in marketing analytics
Experience personally owning marketing measurement and analysis rather than solely managing teams responsible for the work
Strong understanding of channel performance, anomaly detection, attribution, incrementality, and cross-source reconciliation
Fluent with Google Analytics 4
Experience with product analytics platforms such as Amplitude
Comfortable working with a CRM such as Salesforce
Strong familiarity with advertising platform reporting
Ability to reconcile conflicting data and determine which signals are relevant to a business decision
Strong analytical and quantitative judgement
Clear written reasoning and ability to explain why an analytical conclusion is valid or misleading
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

Nice To Haves

Prior experience developing AI training environments, reinforcement-learning environments, or simulated business case studies is strongly preferred
Rubric Academy or Rubric Bootcamp certification is strongly preferred

Responsibilities

Develop realistic tasks based on marketing analytics work you have personally performed
Define the underlying analytical issue and the decision a strong practitioner should reach
Create scenarios involving incomplete, conflicting, or messy marketing data
Ensure tasks require genuine analytical judgement rather than simple metric retrieval
Design challenges that reflect real-world marketing measurement workflows
Develop and evaluate scenarios involving performance across multiple marketing channels
Analyse traffic, engagement, conversion, acquisition, and downstream performance
Compare results across campaigns, channels, and audience segments
Identify meaningful trends, performance drivers, and potential issues
Assess whether conclusions are appropriately supported by available data
Identify unusual movements or inconsistencies in marketing performance
Investigate potential causes using multiple data sources
Distinguish genuine performance changes from tracking, reporting, or data-quality issues
Evaluate proposed explanations and corrective actions
Prioritise anomalies based on potential business impact
Reconcile performance information across analytics platforms, CRM systems, and advertising reports
Identify discrepancies between systems and reporting sources
Assess whether metric definitions and reporting periods are being interpreted consistently
Investigate mismatches affecting performance conclusions
Determine which information should be relied upon for specific decisions
Review attribution and incrementality analyses
Assess whether conclusions appropriately distinguish observed correlation from incremental marketing impact
Evaluate competing interpretations of campaign contribution
Identify weaknesses in attribution logic or measurement assumptions
Translate measurement findings into practical marketing recommendations
Develop and review dashboards, reports, and analytical summaries
Assess whether reporting highlights information relevant to actual business decisions
Identify misleading metrics, incomplete context, or unsupported conclusions
Evaluate whether analytical outputs provide clear recommendations and priorities
Communicate findings in a concise and decision-oriented manner
Work with workflows modelled on Google Analytics 4
Review product analytics from platforms such as Amplitude
Analyse CRM information from systems such as Salesforce
Interpret reporting from advertising platforms
Reconcile behavioural, commercial, campaign, and customer data across multiple systems
Work with simulated environments containing realistic email, storage, CRM, project management, social media management, web analytics, SEO/AEO, advertising, CMS, product analytics, and customer-support information
Specify the documents, dashboards, personas, and tool states required for authentic analytics scenarios
Evaluate multi-step analytical workflows spanning several marketing systems
Identify missing data, inconsistent reporting, or workflow failures
Assess whether proposed actions appropriately reflect available evidence
Write or review reference solutions for marketing analytics scenarios
Define clear criteria separating strong professional responses from plausible but incorrect ones
Establish standards for diagnosis, reconciliation, attribution, reporting, and analytical judgement
Explain why particular conclusions or decisions are stronger or weaker
Ensure evaluation criteria reflect realistic marketing analytics practice
Review completed scenarios and evaluate proposed analytical conclusions
Assess diagnostic reasoning, prioritisation, reconciliation, interpretation, and reporting
Evaluate multi-step work spanning several analytics and marketing tools
Identify missed issues, incorrect interpretations, or weak recommendations
Provide clear written reasoning supporting evaluation decisions