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# Analyst, Decision Science

- **Company:** George P. Johnson Experience Marketing
- **Location:** Detroit, MI, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $115,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, BigQuery, Databases, Data Cleansing, Python (Programming Language), Power BI, Sentiment Analysis, Data Streaming, Tableau (Software), Scripting, Google Data Studio, Data Strategy, Data Management, Airtable
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2e4653b67d85fc52

## About the Role

* Experience: 3-5 years of experience in marketing analytics, data strategy, or decision science-ideally within an agency, consulting, or brand-side marketing environment.
 * Education: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Economics, Business Analytics, Psychology, or a related discipline.
 * A versatile mindset that balances analytical rigor with inspired creativity, with the ability to distill complex data sets into compelling narratives.
 * A working knowledge of AI and agents, with a proactive approach to leveraging these technologies to enhance our workflows, processes, and overall capabilities.

Preferred Toolsets

 * Data Analysis & Scripting: Strong knowledge of Python or R for statistical analysis.
 * Databases & Data Ops: Experience with BigQuery (or similar cloud warehouses) and Airtable for data management and centralization.
 * BI & Visualization: Hands-on experience building clear, intuitive dashboards in Looker Studio, Tableau, or Power BI.

## Description

* Audience Segmentation & Behavior Analysis: Analyze attendee demographics, behaviors, and content consumption patterns within an experience to identify what resonated most with specific audience cohorts.
 * Brand Health & Sentiment Analysis: Synthesize qualitative data from post-event surveys, focus groups, and social listening to measure shifts in brand affinity, Net Promoter Score (NPS), and message retention., * Data Centralization Projects: Support the centralization of agency data by configuring systems (like Airtable) to act as core repositories, eventually feeding into our purpose built and proprietary platform.
 * Big Data Analytics Infrastructure: Work with tools like BigQuery to store, clean, and analyze massive datasets (such as beacon data and spatial metrics).
 * Process Automation: Help automate routine data collection workflows, specifically supporting our growing workbench of strategist-facing tools.
 * Data Cleaning & Consolidation: Merge disparate data streams-like registration lists, on-site engagement logs, and third-party research-into unified datasets for analysis.


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