Principal Data Analyst

TNT Growth•Miami, FL

1d•$100,000 - $140,000•Remote

About The Position

If you prefer deep work and leading teams from the front over people management , this role is built for you. This role is fully remote and open to candidates outside of the US. Visa sponsorship is not offered. About Us We’re TNT Growth – a performance-driven agency that helps leading companies acquire more leads and more customers. Our core focus is on Paid Search management, conversion rate optimization, and reporting & analytics. Our team is sharp, collaborative, and results-obsessed. If you thrive in fast-paced environments, want to grow quickly, and actually care about your impact – you’ll love it here. Former and current clients include: Salesforce, Gusto, Formula 1 Miami, Sweet James, and more. The Role This is a hands-on, high-impact role where you’ll lead analytics initiatives end-to-end—without people management responsibilities. You’ll collaborate closely with marketing, engineering, and client teams to design data systems, uncover insights, and guide strategic decisions.

Requirements

Strong experience in data architecture, modeling, and warehousing (both building and leveraging systems) in a Tech, SaaS, or Growth Marketing environment
Hands-on experience with AI-driven data pipelines and modern data stack architecture
Advanced proficiency in: PowerBI, Tableau, Looker PostgreSQL Google Workspace (Sheets, Docs, etc.)
Experience with ETL tools such as Hightouch, Clay, Segment
Exceptional data storytelling - you don’t just analyze, you influence
High level of attention to detail and commitment to clean, reliable data
Strong communication and presentation skills (internal + client-facing)
Strong team leadership skills and mentorship mentality
Self-starter who thrives in a fast-paced, high-ownership environment

Responsibilities

Lead data analytics projects across internal and client accounts from concept to delivery
Mentor team members and guide team project efforts
Act as a strategic thought partner on data infrastructure and analytics best practices
Architect and optimize data pipelines, models, and warehouse structures
Translate complex datasets into clear, compelling narratives and make recommendations that tie the data stories and business goals together
Build and maintain dashboards and reporting systems (PowerBI, Tableau, Looker)
Partner with marketing teams to measure campaign performance and identify growth opportunities
Design scalable ETL structures using tools like Hightouch, Clay, and Segment
Ensure data accuracy, cleanliness, and integrity across all systems and projects
Collaborate cross-functionally with engineering and client stakeholders