[Hiring] Marketing Data Analyst @Marketing Architects

Role Description

The Data Analyst is a core member of our Analytics team, responsible for answering real business questions using marketing and media data. You’ll report to the Director of Analytics and work closely with cross-functional partners to ensure our measurement is accurate, thoughtful and actionable.

This role is closest to the data and we’re taking an all-inclusive approach to help clients effectively navigate the complexities of measuring television advertising effectiveness. You’ll deeply understand campaign inputs, assumptions and outputs, and you’ll help teams and clients clearly understand what the numbers mean (and what to do next). We expect AI to be part of how you work. Use it to move faster and cover more ground than an analyst could alone, and bring the judgment that decides which answers are actually right.

• Deliver accurate analysis: Complete high-quality analyses that directly answer business and client questions, ensuring data accuracy and consistency.
• Evaluate TV performance: Measure the impact of TV and streaming campaigns on digital performance, business outcomes and overall marketing effectiveness.
• Uncover actionable insights: Go beyond surface-level results to identify patterns, risks and opportunities that strengthen campaign decisions.
• Validate data and assumptions: Question inputs, methodologies and outputs to ensure results make sense and stand up to scrutiny, including AI-generated outputs.
• Translate data into clarity: Build clear visualizations and explain findings in plain language so internal teams and clients can confidently act on them.
• Work AI-forward: Use AI tools to accelerate querying, scripting, QA and first-draft analysis so you can test more scenarios and turn work around faster using appropriate context, then apply your own judgment to what the results mean.

Qualifications

• An agency-trained analyst: 2–5 years of experience in marketing analytics, media analytics or a related quantitative field, ideally supporting campaign measurement.
• Strong academic foundation: 3.5 GPA or equivalent academic performance in a quantitative field such as business, economics, statistics, mathematics, computer science, marketing or similar.
• Data-literate: You interpret performance data, identify trends, and connect insights back to defined KPIs to inform decisions.
• Strong in Excel: Comfortable using formulas, pivot tables and structured analysis to organize, validate and analyze large datasets.
• Experienced with BI or data tools: You’ve worked in platforms like Domo, Databricks, SQL or similar environments to explore and troubleshoot data.
• Presentation-ready: You’ve built clear, client-ready slides that explain campaign results or analytical findings in a logical way and can present them with confidence.
• AI-enabled: You use AI tools to improve workflows, explore data or enhance analysis and you understand their strengths and limitations. You can point to work AI helped you do faster or more thoroughly, and you can explain your methodology and your math without it.
• Accountable for the answer: The conclusions are yours. You can walk anyone through the logic, the assumptions and the numbers unaided, and you know when a tool’s output needs to be thrown out.

Benefits

• Fully remote within the US
• 100% employer-paid medical, dental and disability, with vision option
• Traditional and Roth 401(k) with a 4% company match
• Flexible paid time off, 9 paid holidays plus 2 floating holidays
• Paid parental leave
• Annual office supply allowance, monthly internet stipend and employer-paid cell phone
• Opportunities to connect virtually and in-person twice a year with our fully remote team