YO IT CONSULTING is seeking a senior marketing analytics professional to contribute to AI model training focused on marketing performance. The role involves evaluating AI-generated marketing insights and improving model reasoning through rigorous analysis and feedback.
Responsibilities:
- Evaluate AI-generated responses for accuracy, clarity, analytical rigor, and practical usefulness in marketing analytics contexts
- Challenge advanced language models with complex marketing analytics scenarios, including attribution tradeoffs, funnel diagnostics, campaign performance analysis, and growth forecasting
- Review and refine AI-generated prompts, model responses, reasoning chains, and explanations related to marketing data, metrics, and decision-making
- Identify errors, omissions, misleading assumptions, or weak analytical logic in AI-generated marketing recommendations
- Provide structured feedback that helps improve model behavior, domain accuracy, and the quality of AI-supported marketing analysis
- Shape AI communication standards for how models explain dashboards, statistical findings, experiment results, campaign outcomes, and business implications
- Support benchmarking efforts by creating and evaluating tasks that test model performance across real-world marketing analytics use cases
- Contribute domain expertise to improve how AI systems handle executive summaries, performance narratives, and actionable marketing recommendations
Requirements:
- 4+ years of professional experience in marketing analytics, growth analytics, marketing science, revenue analytics, or a closely related field
- Significant hands-on work with marketing performance data, including paid media, web analytics, CRM, lifecycle marketing, campaign reporting, experimentation, or customer funnel analysis
- Deep knowledge of attribution modeling, CAC/LTV analysis, funnel optimization, customer segmentation, marketing KPIs, and performance measurement frameworks
- Strong understanding of statistical reasoning, A/B testing, incrementality, cohort analysis, data visualization, and the limitations of common marketing measurement approaches
- Proven experience translating complex marketing data into clear business recommendations for executives, marketing leaders, product teams, or growth stakeholders
- Bachelor's degree in marketing, business analytics, statistics, economics, data science, mathematics, or a related field
- a master's degree or MBA is preferred