Marketing AI Analyst

Description

We are looking for a Marketing AI Analyst to join a retail organization on a Contract basis in Bloomington, Minnesota. This position focuses on turning marketing and customer data into actionable insights through AI-driven analysis, predictive modeling, and performance reporting. The ideal candidate will blend strong analytical thinking with hands-on experience across marketing platforms, analytics tools, and modern AI technologies to support smarter business decisions.

Responsibilities:
Analyze marketing, customer, and campaign data to identify trends, opportunities, and performance insights that inform business strategy.
Build and refine predictive models that help forecast customer behavior, campaign outcomes, and key retail marketing metrics.
Connect and evaluate datasets from multiple business platforms to improve the quality, accessibility, and usefulness of AI-driven analysis.
Create dashboards and visual reports in tools such as Power BI, Tableau, or Looker to communicate findings to stakeholders clearly and effectively.
Use platforms including Google Analytics, Adobe Analytics, and Google Ads data sources to assess digital marketing effectiveness and optimize spend.
Partner with CRM and marketing teams to measure audience engagement, campaign performance, and customer lifecycle results.
Apply Python and AI technologies to streamline analysis, enhance modeling approaches, and support advanced marketing use cases.
Contribute to the use of emerging frameworks such as LangGraph and MCP-level tools where appropriate for analytical and AI workflow development.

Requirements

Proven experience in marketing analytics with a strong understanding of campaign measurement, attribution, and performance analysis.
Hands-on expertise with Google Analytics, Adobe Analytics, and Google Ads reporting environments.
Demonstrated ability to develop and interpret predictive models using statistical or machine learning techniques.
Proficiency in Python for data analysis, modeling, and automation of analytical tasks.
Experience working with BI and visualization tools such as Power BI, Tableau, or Looker.
Familiarity with CRM marketing data and the ability to translate customer insights into actionable recommendations.
Working knowledge of AI platforms and modern frameworks, including exposure to LangGraph or MCP-level solutions.
Strong communication skills with the ability to present complex analytical findings to cross-functional teams in a clear manner.

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