Marketing Data Analyst
US$60,000 – US$80,000 / yr base salary
Posted 27 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–5 yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
- Visa sponsorship
- Not offered
| Base salary | US$60,000 – US$80,000 / yr |
|---|
Marketing Data Analyst
Location: Remote
Status: Full-Time
At Marketing Architects, we believe TV advertising is still the most powerful marketing channel. But the typical process for TV is expensive, difficult to scale and to measure. So we flipped the traditional approach on its head and rebuilt the agency model with the client in mind. Today, we're growing a team of talent from across the United States to reimagine how brands advertise on TV.
ROLE OVERVIEW
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.
What you'll do:
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Deliver accurate analysis: Complete high-quality analyses that directly answer business and client questions, ensuring data accuracy, and consistency.
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Evaluate TV performance: Measure the impact of TV and streaming campaigns on digital performance, business outcomes and overall marketing effectiveness.
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Uncover actionable insights: Go beyond surface-level results to identify patterns, risks and opportunities that strengthen campaign decisions.
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Validate data and assumptions: Question inputs, methodologies and outputs to ensure results make sense and stand up to scrutiny. Including AI-generated outputs.
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Translate data into clarity: Build clear visualizations and explain findings in plain language so internal teams and clients can confidently act on them.
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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.
Who you are:
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: 2–5 years of experience in marketing analytics, media analytics or a related quantitative field, ideally supporting campaign measurement.