Marketing Data Analyst [AQ-23375]

Aquent

Richmond (VA)

On-site

USD 90,000 - 130,000

Full time

4 hours ago
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Job summary

Aquent is seeking a high-impact Analytics professional in the United States to shape strategic decisions across one of our largest marketing spend portfolios. You will design and run incrementality tests, maintain trusted data foundations, and deliver budget-relevant insights that drive channel strategy and allocation.

You will translate ambiguous business questions into rigorous analyses and present defensible recommendations to executives, partnering with cross-functional teams to optimize

Qualifications

  • 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.

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 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.

Skills

Analytical thinker
Experiment design
Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

SQL
Python (pandas)
Tableau
Looker

Job description

Aquent, a key partner to leading organizations, is seeking exceptional talent to join a prominent enterprise that is revolutionizing how customers engage with their core business offerings. In this pivotal role, your expertise will directly shape strategic decisions, influencing millions in marketing spend and contributing to the core business objectives of a forward-thinking, data-driven organization. This is your chance to drive innovation and deliver significant impact within a dynamic environment, where sophisticated analytics optimize substantial annual media investments across diverse marketing channels. Are you ready to become a high-impact analyst, directly informing and optimizing one of the largest performance marketing channels for an industry leader? 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 insights will empower marketing and business leaders to make data-backed decisions, shaping budget allocation and strategic direction, and 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, ultimately impacting the company’s growth and market position.

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.
Must-Have Qualifications
  • 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.
Qualifications That 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.
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