Responsibilities

• Guide data analysts focused on marketing performance, attribution, and optimization across multiple media channels
• develop and refine media mix models using open-source and proprietary frameworks to assess media contribution and guide budget allocation
• conduct testing and experiment design to isolate the causal impact of specific campaigns or media types
• build and maintain automated ETL pipelines and workflows to integrate data from media platforms, intake systems, and TV spend platforms
• manage the intake, transformation, and validation of media, spend, and case data from multiple sources to ensure accurate performance reporting
• develop forecasting models for key performance metrics such as CPI, lead volume, and conversion rates
• create dashboards to communicate insights to marketing, finance, and executive stakeholders
• partner with Media and Finance teams to ensure alignment on performance KPIs, campaign goals, and media planning
• monitor data pipelines and model performance, iterate based on campaign outcomes and evolving media mix

Requirements

• Must have a Bachelor's Degree, or foreign equivalent, in Data Science, Statistics, or Financial Management, plus 2 years of experience in a data analyst position, and 2 years using Python, R-Studio, Sisense Cloud Data, PowerBI, and Tableau.

Benefits

• Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.