Senior Analytics Lead, Performance Marketing Insights

Fetch; Northern (KY); Hybrid; USD 149,000 - 175,000; Full time

Job summary

Fetch is seeking a Lead Analyst, Performance Marketing Analytics to partner with performance marketing, growth, and finance teams. You will evaluate CAC, ROAS, LTV, and conversion, diagnose trends, and translate data into recommendations that improve acquisition efficiency and long-term value.

This role is hands-on and requires strong SQL, Python (or R), data visualization, and the ability to explain complex analyses to senior stakeholders.

Qualifications

• 7+ years in analytics or related quantitative field.
• Hands-on support for performance marketing or paid media.
• Advanced SQL; Python or R for analysis.
• Strong understanding of CAC, ROAS, LTV, and retention.
• Experience with MMM and MTA.
• Experimentation, incrementality, and A/B testing.
• Experience analyzing large user, campaign, and conversion datasets.
• Experience with segmentation, predictive modeling, or causal inference.
• Strong data visualization and storytelling with tools like Tableau/Looker/Grafana.

Responsibilities

• Partner with Marketing on design, execution, and analysis of tests and lift studies.
• Apply statistical methods to evaluate marketing effectiveness when experiments aren’t possible.
• Improve measurement approaches for paid acquisition balancing rigor and speed.
• Evaluate performance across measurement methodologies and communicate limitations.
• Build scalable reporting and analytics frameworks; present insights to senior stakeholders.
• Mentor junior analysts and contribute to analytics best practices.

Skills

CAC

ROAS

LTV

A/B testing

SQL

Python

R

Data visualization

Stats

Tools

Tableau

Looker

Grafana

dbt

GitHub

Job description

Fetch is seeking a Lead Analyst, Performance Marketing Analytics to partner with performance marketing, growth, and finance teams. You will evaluate CAC, ROAS, LTV, and conversion, diagnose trends, and translate data into recommendations that improve acquisition efficiency and long-term value.

This role is hands-on and requires strong SQL, Python (or R), data visualization, and the ability to explain complex analyses to senior stakeholders.