Senior Marketing Analytics Lead: Incrementality & ROI

Aquent; Richmond (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Aquent is seeking a highly analytical Senior Analyst for a 3-6 month contract to join a high-performing analytics team in Richmond, VA. You will design incrementality tests, manage data quality, and influence marketing budget decisions through rigorous analyses.

You will build and validate models and dashboards using SQL/Python, contributing to portfolio-level strategies and communicating insights to executives. This role emphasizes accuracy, causality, and data-backed recommendations.

Qualifications

• 3+ years of experience in an analytical role, preferably within marketing analytics or performance marketing.
• Strong proficiency in SQL and Python (pandas) for querying, transforming, and modeling large datasets.
• Experience designing experiments including hypothesis testing, significance and power analysis.

Responsibilities

• Design and execute incrementality tests, holdout experiments, and pre/post analyses to isolate marketing impact.
• Maintain robust data foundations and QA for trusted channel performance.
• Build monthly mROI curves and translate diminishing-returns analyses into budget recommendations.
• Transform ambiguous questions into structured analyses and defend recommendations.
• Contribute to portfolio-level budget allocation and channel strategy discussions.
• Validate analyses and reporting to ensure accuracy.

Skills

SQL

Python (pandas)

BI tools (Tableau/Looker)

Experiment design

Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

Tableau/Looker

Job description

Aquent is seeking a highly analytical Senior Analyst for a 3-6 month contract to join a high-performing analytics team in Richmond, VA. You will design incrementality tests, manage data quality, and influence marketing budget decisions through rigorous analyses.

You will build and validate models and dashboards using SQL/Python, contributing to portfolio-level strategies and communicating insights to executives. This role emphasizes accuracy, causality, and data-backed recommendations.