Marketing Intelligence Engineer

Hiebing•Madison, WI

9d•Hybrid

About The Position

We are looking for a technically minded problem solver who enjoys working with data, systems, and automation, and wants to learn emerging AI tools while also helping translate intelligence into meaningful business impact. This role sits at the intersection of: data engineering automation analytics marketing intelligence and AI-enabled systems The ideal candidate is curious, adaptable, collaborative, and excited about the future of AI and modern data systems — even if they are still early in that journey themselves.

Requirements

Strong problem-solving and systems-thinking mindset
Curiosity and excitement around AI, automation, and modern data systems
Ability to learn quickly and adapt in fast-evolving environments
Interest in both technical systems work and business application
Strong communication and collaboration skills
Comfort navigating ambiguity and learning new tools/processes
1–4 years of experience in analytics, data, systems, automation, engineering, or related fields
Exposure to SQL, Python, APIs, automation tools, dashboards, or cloud-based data environments such as Azure and Snowflake
Familiarity with marketing analytics, reporting, or business intelligence concepts
Must be authorized to work in the U.S. without current or future sponsorship.

Nice To Haves

Exposure to AI tools, workflow automation, or prompt engineering is a plus
Experience with Tableau, Power BI, Looker Studio, or similar visualization tools is helpful but not required

Responsibilities

Support data integration, transformation, and pipeline development across platforms and systems
Work with SQL, Python, APIs, and cloud data systems such as Azure and Snowflake
Troubleshoot data quality, workflow, and systems challenges
Assist with dashboard infrastructure, reporting automation, and technical analytics support
Collaborate with internal and external technical partners on scalable data solutions
Help implement AI-enabled workflows, automations, and operational systems
Assist with prompt engineering, experimentation, and AI workflow testing
Help improve the speed, scalability, and efficiency of reporting and intelligence workflows
Contribute ideas around automation, process improvement, and AI-driven operational innovation
Support reporting, analytics, forecasting, and performance analysis efforts across client accounts
Help translate data into clear insights and business recommendations
Assist with development of dashboards, reporting deliverables, and intelligence presentations
Collaborate with cross-functional subject matter experts to improve the quality and scalability of intelligence delivery
Participate in client-facing discussions and presentations as responsibilities grow