Marketing AI Analyst

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.

• 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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