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Michigan Technological University

Michigan Technological University is hiring: Data Analyst in Houghton

Michigan Technological University, Houghton, MI, United States, 49931

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Apply now Job No: 25254
Department: College of Engineering
Work Type: Staff - Full Time
Location: Main Campus (Houghton, MI)
Full Time / Part Time: Full Time
Categories: Information Technology

Department: College of Engineering

Summary

As a member of the college of engineering dean’s office staff, this position will work closely with the dean and associate deans to leverage data to enhance strategic planning, improve student success, and support faculty research within the college. The ideal candidate will be adept at transforming complex data into compelling and easy-to-understand visualizations and enabling data-informed decision-making.

Responsibilities and Essential Duties

  1. Student and Academic Data Analysis: Analyze student enrollment, retention, and graduation data to identify trends and support student success initiatives.
  2. Provide data-driven insights to support the assessment and continuous improvement of academic programs.
  3. Financial Data Analysis: Analyze financial data, including budget allocations, grant spending, and fundraising outcomes, to support the Dean's office in financial planning and resource management.
  4. Faculty & Research Metrics: Develop dashboards and reports to track research funding, faculty publications, and other key performance indicators (KPIs) relevant to a college of engineering.
  5. Data Visualization and Presentation: Design and create interactive dashboards and reports using tools like Tableau or Power BI.
  6. Prepare clear and compelling graphics and slide decks for various audiences, including the Dean's office, department heads, and faculty.
  7. Database Management & Reporting: Utilize and query the university's database systems, including the Banner system, to extract and prepare data for analysis and reporting.
  8. Respond to ad-hoc data requests from the Dean's office, department heads, and faculty.
  9. Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in university continuous improvement initiatives.
  10. Apply safety-related knowledge, skills, and practices to everyday work.

Required Education, Certifications, Licensures

Bachelor of Science degree in Data Science, Statistics, Mathematics, or a related quantitative field.

Required Experience

Demonstrated experience in creative, compelling data analysis and visualization.

Desirable Education and/or Experience

Experience with higher ed data analysis and tools (e.g., Banner/WebFocus).

Required Knowledge, Skills, and/or Abilities

Key Skills:

  • Demonstrated commitment to contribute to a safe work environment.
  • Leadership Skills: Excellent communication and presentation skills, with the ability to translate complex data findings into actionable insights for diverse academic and administrative audiences.
  • Strong problem-solving skills and meticulous attention to detail.
  • Ability to work both independently and collaboratively with diverse stakeholders, including faculty, staff, and students.

Desirable Knowledge, Skills, and/or Abilities

Preferred Qualifications:

  • Demonstrated expertise with data visualization software (e.g., Tableau, Power BI).
  • Proficiency in SQL for data extraction.
  • Proficiency with presentation software like PowerPoint or Google Slides, with a strong eye for graphic design.
  • Familiarity with statistical analysis and data modeling principles.

Work Environment and/or Physical Demands

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually low to moderate.

Michigan Technological University is an Equal Opportunity Employer

Michigan Technological University does not discriminate in its employment practices or in its educational programs or activities on the basis of sex and gender. Michigan Tech also prohibits retaliation against any person opposing discrimination or participating in any discrimination investigation or complaint process internally or externally. Reports of misconduct, questions regarding Title IX, and concerns about noncompliance should be directed to the Title IX Coordinator. For a complete copy of the policy or more information, please contact the Title IX Coordinator or the Assistant Secretary of Education within the Office of Civil Rights (OCR).

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