Director Marketing Analytics

Harnham; Miami (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Harnham seeks a Director of Marketing Analytics to lead a data-driven effort to acquire more profitable customers at scale. This role focuses on measurement, predictive modelling, experimentation, and platform optimization to improve acquisition performance and unit economics.

Responsibilities include steering the Marketing Analytics and Data Science team, developing MMM and attribution frameworks, and partnering with Growth Marketing, BI, and Engineering to build a best-in-class analytics

Qualifications

• Background in Marketing Analytics, Marketing Science, Growth Analytics, Customer Analytics or Marketing Data Science.
• Experience building machine learning and data science models.
• Expertise in experimentation, causal inference, incrementality or marketing effectiveness.
• Experience with customer value models, CLV, propensity models, attribution and measurement frameworks.
• Strong SQL proficiency with exposure to Python, R or advanced statistical modelling.
• Ability to translate complex analytics into commercial decisions.

Responsibilities

• Lead Marketing Analytics and Data Science team.
• Define measurement strategy across paid digital and traditional channels.
• Oversee Marketing Mix Modeling (MMM) and investment optimization.
• Direct Incrementality testing, geo-lift studies and experimentation frameworks.
• Develop lead quality, customer value, propensity and predictive modelling.
• Own attribution strategy and marketing effectiveness measurement.
• Collaborate with Growth Marketing, BI, Data Engineering and Executive Leadership.

Skills

Marketing Analytics

Data Science

Experimentation

Machine Learning

SQL

Python

R

Commercial Acumen

Tools

SQL

Python

R

Job description

A high-growth fintech is seeking a Director of Marketing Analytics to solve one of the company's most important strategic challenges:

How do you use data science, experimentation, and marketing signals to acquire more profitable customers at scale?

This is not a reporting role.

This is a highly commercial data science leadership position focused on improving customer acquisition performance through better measurement, experimentation, predictive modelling, and platform optimisation.

The business already deploys significant media investment and expects marketing spend to increase materially over the coming years. The successful candidate will help build the frameworks, models, and measurement systems required to confidently scale acquisition while maintaining strong unit economics.

What You'll Own

• The Marketing Analytics and Data Science team
• Marketing measurement strategy across paid digital and traditional channels
• Marketing Mix Modeling (MMM) and investment optimisation
• Incrementality testing, geo-lift studies and experimentation frameworks
• Lead quality, customer value, propensity and predictive modelling
• Attribution strategy and marketing effectiveness measurement
• Partnership with Growth Marketing, BI, Data Engineering and Executive Leadership
• Development of a best-in-class analytics and measurement function

What We're Looking For

• Background in Marketing Analytics, Marketing Science, Growth Analytics, Customer Analytics or Marketing Data Science
• Experience building machine learning and data science models
• Expertise in experimentation, causal inference, incrementality or marketing effectiveness
• Experience working with customer value models, CLV, propensity models, attribution and measurement frameworks
• Strong SQL proficiency with exposure to Python, R or advanced statistical modelling
• Ability to translate complex analytics into commercial decisions