Marketing Architects is an All-Inclusive TV agency that rebuilt the traditional agency model to help brands drive profitable growth. Founded in Minneapolis, Marketing Architects has spent more than 25 years building homegrown technology to solve TV's pricing, measurement and scale challenges.

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. 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).

What you'll do:

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.

Translate data into clarity: Build clear visualizations and explain findings in plain language so internal teams and clients can confidently act on them.

Who you are:

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, pivots 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.

AI-enabled: You use AI tools to improve workflows, explore data or enhance analysis and you understand their strengths and limitations.