Analytics Manager – Marketing and Media Optimization

Morgan & Morgan, P.A.; New York (NY); On-site; USD 100,000 - 119,000; Full time

Job summary

Morgan & Morgan, P.A. in Brooklyn, NY seeks an Analytics Manager – Marketing and Media Optimization to lead data analysts and shape performance across channels. You will design models, run experiments, and build automated data flows to support media decisions.

Collaborating with Marketing, Finance, and executive teams, you will translate complex data into actionable insights, create dashboards, and monitor model accuracy to guide budget allocation and strategy.

Qualifications

• Bachelor's degree in data science, statistics, or financial management.
• Minimum 2 years of experience as a data analyst.
• At least 2 years using Python, R-Studio, Sisense Cloud Data, PowerBI and Tableau.

Responsibilities

• Guide data analysts in marketing performance and attribution.
• Develop media mix models and optimize budget allocation.
• Design tests to isolate campaign causal impact.
• Build ETL pipelines and integrate data from multiple sources.
• Create dashboards for insights to stakeholders.
• Coordinate with Media and Finance teams on KPIs.
• Monitor pipelines and model performance, iterate on campaigns.

Skills

Data analysis

Education

Bachelor's degree in Data Science, Statistics, or Financial Management

Tools

Python

R-Studio

Sisense Cloud Data

PowerBI

Tableau

Job description

At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.

Job Title:

Analytics Manager – Marketing and Media Optimization

Job Location:

Brooklyn, NY

Duties:

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; and monitor data pipelines and model performance, iterate based on campaign outcomes and evolving media mix.

Job 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.

Salary Range:

Salary Offered: $100,000 to $119,000 per year; telecommuting permitted.

Salary Range: $100,000 USD - $119,000 USD

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.

Equal Opportunity Statement

Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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