AI-Driven Marketing Analytics Lead for Fintech Growth

One Park Financial; Miami (FL); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Health insurance

401k with Match

Generous PTO & holidays

Dental and Vision insurance

Life Insurance

Job summary

One Park Financial is expanding its marketing analytics team to optimize how channels, campaigns, and creatives drive funded deals. You will work with data science and analytics to measure quality, not just volume, and use AI tools to sharpen insights.

This hands-on role focuses on improving attribution, spend efficiency, and data foundations for executive-level dashboards. You will design experiments, build dashboards, and partner with cross-functional teams to drive actionable recommendations

Qualifications

• 4–7 years in marketing analytics, growth analytics, performance marketing, or digital media measurement.
• Bachelor's degree in a quantitative field.
• Strong SQL and working Python with pandas.
• Hands-on experience with paid digital platforms, especially Meta and Google Ads.
• Web and product analytics experience (GA4).
• Experiment literacy and data-quality instincts.

Responsibilities

• Own recurring read on paid performance across Meta, Google, TikTok, and email, down to campaign level.
• Analyze full acquisition funnel from ad click to funded deal and identify drop-offs.
• Build quality metrics distinguishing fundable from non-fundable leads.
• Design tests for creative, landing pages, audiences, and geo holdouts and interpret results.
• Support marketing data foundation: tagging, attribution, data model, and data joins.
• Build dashboards and present findings in clear language with recommendations.

Skills

SQL

Python

GA4

UTM tagging

Paid media

A/B testing

Data visualization

dbt

AWS

Fintech experience

Education

Bachelor's degree in quantitative field

Tools

dbt

AWS

Excel

Job description

One Park Financial is expanding its marketing analytics team to optimize how channels, campaigns, and creatives drive funded deals. You will work with data science and analytics to measure quality, not just volume, and use AI tools to sharpen insights.

This hands-on role focuses on improving attribution, spend efficiency, and data foundations for executive-level dashboards. You will design experiments, build dashboards, and partner with cross-functional teams to drive actionable recommendations