Marketing Analytics Consultant

Job Summary

We are seeking a Marketing Analytics Consultant with strong expertise in marketing analytics, campaign measurement, customer retention, and revenue optimization. The ideal candidate will analyze marketing and product data, identify business opportunities, and deliver data-driven recommendations to improve campaign ROI, partner performance, retention, and revenue.

This role requires strong analytical thinking, experience working with large-scale datasets, and the ability to translate complex business problems into actionable insights.

Key Responsibilities

• Analyze and optimize marketing campaign ROI across paid media, social media, and other channels.

• Monitor campaign activations, revenue, and overall marketing performance.

• Analyze app and product data to identify high-value publishing partners.

• Recommend strategies to improve partner retention and revenue growth.

• Collaborate with paid media leaders and senior analysts on revenue optimization initiatives.

• Identify measurement gaps and develop minimum viable measurement approaches.

• Build analytical roadmaps aligned with business priorities.

• Develop setup-to-activation funnels, cohort analyses, survival benchmarks, and retention tenure baselines.

• Develop lifecycle campaign tracking and attribution models.

• Analyze partner lifetime value, publisher churn, and revenue impact.

• Query large-scale product datasets across complex data environments and BI systems.

• Set up and work with AI automation tools and agent workflows.

• Communicate analytical insights and recommendations to product analysts, engineers, and business stakeholders.

Required Qualifications

• Strong experience in Decision Science, Marketing Analytics, or Business Analytics.

• Experience analyzing marketing campaign performance and ROI.

• Knowledge of paid media, social media, campaign measurement, and attribution.

• Experience with customer/partner retention, churn analysis, and lifetime value (LTV).

• Strong understanding of funnel analysis, cohort analysis, survival analysis, and retention metrics.

• Experience analyzing large-scale product and app datasets.

• Ability to identify measurement gaps and develop analytical roadmaps.

• Strong data analysis, problem-solving, and business recommendation skills.

• Experience working with BI systems and complex data environments.

• Strong communication and stakeholder collaboration skills.