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.