Marketing Intelligence Engineer

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. 

What You’ll Do 

Data Transformation, Movement, and Technical Solutions  

• 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 

AI Workflow & Automation Support 

• 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 

Marketing Intelligence & Client Support 

• 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 

What We’re Looking For 

Core Capabilities 

• 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 

Preferred Experience 

• 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 

• 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 

Ideal Candidate Profile 

This role is designed for someone who is excited about the future of marketing intelligence and AI-enabled business operations. 

You’ll have the opportunity to work on: 

• AI-enabled workflow development 

• modern reporting and intelligence systems 

• automation and operational efficiency initiatives 

• advanced analytics capabilities 

• and next-generation marketing intelligence solutions 

This is an opportunity to help build something modern and scalable — not simply maintain traditional reporting workflows. 

If that future excites you, we’d love to talk! 

What Makes Someone Successful at Hiebing

• You build on ideas with a “Yes, and” mindset
• You bring curiosity and challenge thinking in a productive way
• You care about both the work and the people behind it
• You hold high standards and take ownership of outcomes

Benefits include:  Hybrid work flexibility, health + dental insurance, paid parental leave, matching 401(k) + profit sharing, a professional development fund and many more! 

Work Environment & Eligibility
Hybrid role based in Madison, WI (in-office Monday–Wednesday; remote Thursday–Friday). Must be authorized to work in the U.S. without current or future sponsorship.