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Michigan Technological University

Data Analyst Job at Michigan Technological University in Houghton

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

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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

  • Student and Academic Data Analysis: Analyze student enrollment, retention, and graduation data to identify trends and support student success initiatives.
  • Provide data-driven insights to support the assessment and continuous improvement of academic programs.
  • 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.
  • 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.
  • Data Visualization and Presentation: Design and create interactive dashboards and reports using tools like Tableau or Power BI.
  • Prepare clear and compelling graphics and slide decks for various audiences, including the Dean's office, department heads, and faculty.
  • Database Management & Reporting: Utilize and query the university's database systems, including the Banner system, to extract and prepare data for analysis and reporting.
  • Respond to ad-hoc data requests from the Dean's office, department heads, and faculty.
  • Commit to learning about continuous improvement strategies and applying them to everyday work. Actively engage in university continuous improvement initiatives.
  • 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

  • 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

  • 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.

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department.

  • Employee Safety Overview
  • Anti-Harassment, Discrimination, Retaliation Training
  • Annual Data Security Training
  • Annual Title IX Training

Background Check: Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

EEO Statement

Miami University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.

If you require any auxiliary aids, services, or accommodations during Miami University's hiring process please notify the Human Resources office at 906-487-2280 or hr-help@mtu.edu.

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