About the Company
Marketing Architects is rethinking how brands use television advertising. The company believes TV remains a powerful marketing channel, while recognizing that traditional TV advertising can be expensive, difficult to scale, and challenging to measure. Marketing Architects has rebuilt the agency model around the client and is growing a team across the United States to help brands approach TV advertising differently.
About the Role The Marketing Data Analyst is a core member of the Analytics team and focuses on answering real business and client questions through marketing and media data. Reporting to the Director of Analytics, this role works closely with cross-functional teams to make sure measurement is accurate, well considered, and useful for decision-making.
You’ll work closely with campaign data, understanding the inputs, assumptions, methodologies, and outputs behind measurement. The role also involves helping internal teams and clients understand what the numbers mean and what actions should follow. AI is expected to be part of the day-to-day workflow, helping the analyst move faster, explore more scenarios, and improve the efficiency of analysis while maintaining independent judgment over the quality and meaning of the results.
Key Responsibilities
Complete accurate, high-quality analyses that directly address business and client questions.
Analyze marketing and media data to evaluate campaign performance and effectiveness.
Measure the impact of TV and streaming campaigns on digital performance, business outcomes, and overall marketing effectiveness
Identify meaningful patterns, risks, and opportunities that can improve campaign decisions.
Review and validate data inputs, assumptions, methodologies, and analytical outputs.
Assess AI-generated outputs and determine whether the results are accurate and appropriate.
Create clear visualizations that make analytical findings easier to understand.
Translate complex data and analytical results into plain language for internal teams and clients.
Prepare clear, client-ready presentations that communicate campaign results and analytical findings.
Use AI tools to accelerate querying, scripting, quality assurance, and first-draft analysis.
Explore more scenarios and complete analytical work efficiently using appropriate context and judgment.
Take ownership of analytical conclusions and be able to explain the underlying logic, assumptions, methodology, and numbers independently.
Required Qualifications
2–5 years of experience in marketing analytics, media analytics, or a related quantitative field, ideally with experience supporting campaign measurement.
A 3.5 GPA or equivalent academic performance in a quantitative field such as business, economics, statistics, mathematics, computer science, marketing, or a similar discipline.
Strong ability to interpret performance data, identify trends, and connect findings to defined KPIs.
Strong Excel skills, including formulas, pivot tables, and structured analysis of large datasets.
Experience working with BI or data tools such as Domo, Databricks, SQL, or similar environments.
Ability to build clear, client-ready presentations explaining campaign results or analytical findings.
Confidence presenting analytical findings clearly.
Experience using AI tools to improve analytical workflows, explore data, or enhance analysis.
Understanding of the strengths and limitations of AI-generated outputs.
Ability to independently explain analytical methodology, assumptions, and calculations and recognize when a tool's output should not be relied upon.
Preferred Qualifications / Requirements
Agency experience as an analyst.
Experience specifically supporting campaign measurement.
Experience with marketing analytics or media analytics.
Salary & Benefits The original listing does not provide salary, bonus, benefits, or other compensation details.
Work Arrangement
This is a full-time, remote position.