Marketing Data Analyst

Overview Placement Type: Temporary Salary: $50-60 Hourly Start Date: Oct 26, 2026 As a key partner to leading organizations, Aquent is seeking exceptional talent to drive innovation and deliver significant impact. We are looking for a skilled professional to join a dynamic team at a prominent retail company that is a leader in its industry, revolutionizing how customers engage with vehicle sales and sourcing. This organization is renowned for its data-driven approach, utilizing sophisticated analytics to optimize substantial annual media investments across diverse marketing channels. Your expertise will directly shape strategic decisions, influencing millions in marketing spend and contributing to the core business objectives of a forward-thinking enterprise. Position is onsite at the client's office in Midtown (Richmond, VA) 3-4 days per week. About the Role We are seeking a highly analytical and driven individual to step into a critical contract assignment, operating at a Senior Analyst level. This is an exceptional opportunity to embed yourself within a high-performing analytics team, where your insights will directly inform and optimize one of the largest performance marketing channels. You will be instrumental in rigorously testing and proving the true impact of marketing investments, moving beyond mere correlation to establish clear causality. Your work will empower marketing and business leaders to make data-backed decisions, shaping budget allocation and strategic direction. This is a temporary contract assignment, expected to last 3-6 months, offering a focused and impactful engagement. What You Will Do - Essential Responsibilities 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 mROI 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. Qualifications and Requirements We are looking for a professional who can consistently deliver at a high level on the responsibilities outlined above. The following represent the knowledge and skills required: 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. Preferred Qualifications These qualifications will set a candidate apart and are highly valued: 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.