drjobs IS Process and Data Analyst – AI/ML (Enterprise Division)

IS Process and Data Analyst – AI/ML (Enterprise Division)

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1 Vacancy
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Job Location drjobs

Goodhue, MN - USA

Monthly Salary drjobs

$ 65 - 80

Vacancy

1 Vacancy

Job Description

The Process and Data Analyst AI/ML serves as an embedded business partner within Enterprise departments such as Safety Finance HR IT and Marketing. This role combines analytical insight business operations understanding and AI/ML literacy to identify support and help deliver impactful solutions that optimize processes enhance reporting and guide decision-making. Analysts will regularly engage with business stakeholders to translate needs into insights and support the AI Solutions Team in developing scalable tools.


Key Responsibilities:

AI/ML Opportunity Identification and Analysis

  • Partner with business units to observe workflows and identify opportunities for AI/ML intervention.
  • Translate departmental needs into use cases through data-driven assessments and reporting.
  • Perform exploratory data analysis (EDA) and surface trends that could benefit from AI/ML models or tools.


Data Gathering and Support

  • Assist in the integration and preparation of datasets for model development.
  • Work closely with the Process & Data Engineer and Solutions Architect to ensure data cleanliness and relevance for analytical needs.
  • Document data gaps assumptions and requirements for engineering support.


Operational Insight and Reporting

  • Develop clear actionable reporting to highlight process inefficiencies and optimization opportunities.
  • Build lightweight dashboards and visualizations (e.g. Power BI) to support business decisions.
  • Provide feedback loops to departments for data-driven insights.


Cross-Functional Project Participation

  • Collaborate with enterprise business partners data engineers and developers in sprint-based projects focused on Enterprise Division priorities.
  • Contribute to centralized sprint planning by presenting department-derived insights and data opportunities.
  • Participate in user acceptance testing (UAT) and validation of AI-driven tools.


Documentation and Knowledge Transfer

  • Maintain clear records of analytical assessments insight reports and departmental recommendations.
  • Contribute to team documentation supporting future scalability and solution reusability across departments.


Professional Growth and Organizational Learning

  • Stay current on AI/ML applications in enterprise functions and business intelligence.
  • Participate in internal AI/ML workshops training and L&D initiatives.
  • Help shape future LMS training materials based on Enterprise Division use cases.


Preferred Qualifications:

  • Bachelors degree in Computer Science Data Analytics Artificial Intelligence & Machine Learning Business Administration or related field.
  • Experience in data analysis business intelligence or enterprise operations.
  • Familiarity with AI/ML fundamentals and interest in applying them to real-world problems.
  • Comfort engaging with cross-functional stakeholders to understand workflows firsthand.
  • Proficiency in Power BI Excel SQL and/or Python.


Physical Requirements

  • Must be able to sit stand kneel stoop walk and sit for extended periods of time
  • Must be physically capable of lifting and carrying up to 25 lbs.
  • Accessibility: If you need ADA accommodations as part of the employment process please contact Knobelsdorff Human Resources via email at.

Why Work for Knobelsdorff

In the early 1980s in a small garage on a plot of family-owned land Knobelsdorff Enterprises began. At the beginning KE was a small operation serving local agricultural and industrial facilities. Three decades of hard work and a commitment to excellence has grown KE into four divisions. Teamwork and dedication to our core values
has expanded our operations nationwide and have grown to surpass 6
00 employees. We continue to grow and drive success with the same steadfast dedication and core values since the start. Join us today!

EEO

Knobelsdorff is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status.


Required Experience:

Senior IC

Employment Type

Full-Time

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