Data Analyst

Bay de Noc Community College

Escanaba (MI)

On-site

USD 53,000 - 66,000

Full time

14 days+
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Benefits offered by this job

Health, dental, vision, life insurance
Retirement contributions
Tuition reimbursement
Wellness program

Job summary

Bay de Noc Community College in Escanaba seeks a Data Analyst to support Institutional Effectiveness. This role will manage a variety of research projects, dashboards, reporting and grant initiatives, contributing to the institution’s mission from program level to accreditation.

The position requires strong analytical and communication skills, with the ability to handle multiple projects in a fast-paced environment. On-campus work is expected on the Escanaba campus.

Qualifications

  • Bachelor's degree in data analysis, computer science, statistics, information technology, business administration, or related field.
  • Strong analytical, data interpretation, and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and with teams in a fast-paced environment.
  • Proficiency in Microsoft Office Suite and data tools listed in qualifications.

Responsibilities

  • Collect, analyze, and interpret institutional data to support decision-making.
  • Design and conduct research studies to assess program effectiveness.
  • Develop interactive dashboards and customizable reports for stakeholders.
  • Collaborate with departments to design data-driven supports and improvements.
  • Prepare and present reports to senior leadership and stakeholders.
  • Stay current on IR trends and accreditation requirements.

Skills

Analytical thinking
Data interpretation
Critical thinking
Problem solving
Communication
Interpersonal skills
Independent & collaborative work
Project management
Microsoft Office proficiency
Diversity & inclusion awareness

Education

Bachelor's degree in data analysis
Bachelor's degree in CS/IT/stats or related

Tools

SPSS
SAS
R
Power BI
Tableau
QlikView
SQL
Python

Job description

Position Details
Position Information

Position Title Data Analyst Pay Grade Level E-6 FLSA Exempt Benefits

Health, dental, vision, life, short-term and long-term disability insurance, flexible spending and dependent care accounts, health savings accounts, Michigan Public School Employees Retirement Systems or TIAA 401(a) 12% employer contribution, TIAA 403(b), generous sick and vacation time, paid holidays, modified summer schedule, YMCA membership, Wellness Program, tuition reimbursement and professional development support.

Department Institutional Effectiveness Campus Location Escanaba Min Salary $53,155 Max Salary $66,444 FTE

1.00

Summary

Full-time/Part-time Full-Time Position Type Staff Job Summary/Basic Function

The Data Analyst is responsible for supporting Institutional Effectiveness at Bay College. This position will manage a variety of research projects, dashboards, reporting and grant initiatives, contributing to the institution’s overall mission and strategic goals. This role is pivotal in providing data-driven insights that enhance the quality of the college’s programs and operations from the course level to accreditation. This position will gather and analyze relevant data that will guide decisions at the institution. This position will make a meaningful impact on the institution’s success and growth. This position is not remote. This position will be on our Escanaba campus.

Minimum Qualifications
  • Bachelor’s degree in data analysis, computer science, statistics, information technology, business administration, information systems/management, or science with an emphasis in research and analysis or a bachelor’s degree in another area but holds relevant work experience in data analytics
  • Strong analytical, data interpretation, critical thinking, and problem-solving skills
  • Excellent communication and interpersonal skills
  • Positive rapport amongst peers
  • Ability to work independently and collaboratively in a fast-paced environment
  • Ability to manage multiple projects and deadlines simultaneously
  • Proficiency in Microsoft Office Suite
  • Demonstrated commitment to valuing diversity and contributing to an inclusive working and learning environment
Preferred Qualifications
  • Demonstrated experience working in an enterprise resource planning (ERP system) or database
  • 3+ years of experience in institutional research or data analysis
  • Prior work experience with processing detailed information
  • Understanding of accreditation processes in higher education
  • Proficiency in data analysis tools such as SPSS, SAS, or R
  • Proficiency in data visualization tools such as Power BI, Tableau, or QlikView
  • Experience with SQL, Python, or R programming languages

Months Per Year 12 Hours Worked Per Week 40 Work Schedule Typical hours are Monday - Friday, 8 AM – 5 PM with an hour lunch break.

Supervision Exercised Supervision Received

Works under the general supervision of the Director of Institutional Effectiveness.

Work Environment Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually moderate but may be loud in areas of equipment operation.

Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

Travel requirement Occasional travel may be required – both for conferences and trainings, as well as meetings at our Iron Mountain campus.

Job Duties
  • Collect, analyze, and interpret institutional data to support decision-making and strategic planning.
  • Design and conduct research studies to assess the effectiveness of programs and initiatives.
  • Facilitate the development and use of interactive data dashboards and customizable reports that empower employees to analyze to improve student support, learning and outcomes that foster a culture of inquiry, improvement, and data-informed decision-making.
  • Conduct needs assessment by working collaboratively with departments and divisions to design and implement meaningful and effective supports.
  • Participate in training on use of data dashboards and reporting tools.
  • Prepare and present reports and presentations in a variety of formats (verbal, written, numerical, graphical, etc.) on research findings to senior leadership and stakeholders.
  • Stay current on trends and best practices in institutional research to ensure compliance with regulations and requirements.
  • Provide custom, primary quantitative and qualitative survey/market research including consultation, research design and methodology, questionnaire development, data collection, tabulation, statistical analysis, and report writing and presentation for management data-driven decision-making.
  • Interpret and respond effectively to stakeholder and end-user requests and needs.
  • Serve and lead college committees as needed – required participation on Data Governance Committee with the expectation of chair responsibilities when appropriate.
  • Other duties as assigned
Department Information

Contact(s)

  • Beth Berube, Director of Human Resources
  • Shena Turan, Human Resources Specialist
  • Contact Phone/Extension 906-217-4016
  • Contact Email hr@baycollege.edu
  • Contact Fax 906-217-1625

Applications will be reviewed upon receipt. Target application deadline date is September 18, 2026.

Required Documents
  • Resume
  • Cover Letter
Supplemental Questions

Required fields are indicated with an asterisk (*) .

  • * What is the highest level of education attained?
    • GED
    • High School Diploma
    • Associates Degree
    • Bachelors Degree
    • Masters Degree
    • PHD
  • * How many years of experience do you have in this type of position?
    • 0-1
    • 1-3
    • 3-5
    • 5-7
    • 7+
  • * How proficient would you rank your technology skills with various computer software applications and database management?
    • Not proficient
    • Somewhat proficient
    • Proficient
    • Very proficient
  • * This position is not a remote position. The employee is required to regularly work on campus as part of their job duties. Are you able to meet this on-campus work requirement?
    • Yes
    • No
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