Marketing Data Analyst

Placement Type:


Temporary

Salary:


$50-60 Hourly

Start Date:


Oct 26, 2026

Aquent, a key partner to leading organizations, is seeking exceptional talent for a pivotal role where your expertise will directly shape strategic decisions, influencing millions in marketing spend and contributing to the core business objectives of a forward-thinking enterprise. This is your chance to drive innovation and deliver significant impact within a dynamic, data-driven environment.


About the Organization


Imagine joining a prominent organization that is a leader in its industry, revolutionizing how customers engage with vehicle sales and sourcing. This enterprise is renowned for its data-driven approach, utilizing sophisticated analytics to optimize substantial annual media investments across diverse marketing channels. You'll be part of a team that champions a forward-thinking, analytical culture.


About the Opportunity


Step into a critical engagement as a high-impact analyst, where your insights will directly inform and optimize one of the largest performance marketing channels. This is an exceptional opportunity to embed yourself within a high-performing analytics team, rigorously testing and proving the true impact of marketing investments. Your work will empower marketing and business leaders to make data-backed decisions, shaping budget allocation and strategic direction, moving beyond mere correlation to establish clear causality. You will play a central role in driving strategic shifts and investment decisions, contributing directly to portfolio-level budget allocation and overarching channel strategy discussions.


What You Will Achieve

• Design and execute sophisticated incrementality tests, holdout experiments, and pre/post analyses to precisely isolate the true impact of marketing spend, independent of platform-reported metrics.
• Maintain robust data foundations, applying rigorous quality assurance to ensure a trusted view of channel performance and managing tracking structures for accurate attribution across campaigns.
• Drive budget management input by building monthly Marketing ROI curves, translating diminishing-returns analysis into actionable budget recommendations.
• Transform ambiguous business questions into structured analyses, delivering specific and defensible recommendations that guide strategic shifts and investment decisions.
• Contribute directly to portfolio-level budget allocation and overarching channel strategy discussions, influencing high-level business decisions.
• Support continuous performance monitoring by independently validating analyses and reporting, pressure-testing findings to ensure accuracy and reliability.

What You Bring

• 3+ years of experience in an analytical role, preferably within marketing analytics, media analytics, or another data-rich performance marketing environment.
• Strong proficiency in SQL and Python (specifically pandas) for querying, transforming, and modeling large datasets.
• Applied experience in designing experiments, including hypothesis testing, significance and power analysis, and the ability to discern when a result is truly meaningful.
• Demonstrated experience in building and maintaining reports or dashboards using business intelligence tools such as Tableau, Looker, or similar platforms.
• A proven track record of translating complex, ambiguous data into clear, actionable recommendations, and effectively communicating these insights to both technical analysts and executive stakeholders.
• Bachelor's degree in a quantitative field (e.g., statistics, economics, mathematics, marketing analytics) or equivalent practical experience.

Highly Valued Qualifications


These qualifications will set you apart:

• Experience with paid search or bid management platforms (e.g., Google Ads, Microsoft Ads, SA360).
• Familiarity with advanced measurement techniques such as incrementality testing, media mix modeling, or multi-touch attribution.
• Experience leveraging Generative AI tools to enhance analytical speed or automate reporting processes.