Research Analysis Specialist (SS25014)

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

Working Title:

Research Analysis Specialist (SS25014)

Institution:

Minnesota State University, Mankato

Classification Title:

Research Analysis Spec

Bargaining Unit / Union:

214: Minnesota Association of Professional Employees

City:

Mankato

FLSA:

Non Job Exempt

Full Time / Part Time:

Full time

Employment Condition:

Classified - Unlimited

Salary Range:

$0.00 - $0.00

Salary Range: $27.84 - $40.82 / hourly; $58,129 - $85,232 / annually

Classification will be determined based on candidate's qualifications and experience.

Classification: Research Analyst Specialist

Job Description

1. Data source/data product development (including database, data warehouse and data lake implementations) for use by the University community.

2. Management and statistical data analysis and reporting for key University stakeholders/consumers.

3. Development, training, and support for processes and tools used by University community members who are data consumers.

Minimum Qualifications

• Experience in database development, data management, data analysis and reporting, or similar activities.

• Experience and proficiency with SQL or other relational database languages.

• Experience and proficiency with object models/object-oriented programming (such as Python, Java, C#) and/or semantic models.

• Proficiency with using Microsoft Excel for data processing and analysis.

• Strong analytic and problem-solving skills, organizational skills, attention to detail, ability to manage projects to completion independently, ability to manage and complete multiple projects with strict deadlines.

• Effective written communication, oral communication, and interpersonal skills.

• Demonstrated commitment to fostering a diverse working and learning environment.

Preferred Qualification 

• Bachelor’s degree in computer science, computer information technology, management information science, data science, data engineering, statistics, market research, or other field related to data analytics.

• Experience with PowerBI or a similar business intelligence tool.

• Experience with Microsoft Access or a similar database access tool.

• Experience with Workday or another similar application designed around business objects/object modeling.

• Demonstrated experience with quantitative and qualitative research methods, statistical modeling, and/or trend analysis.

• Experience in analytics work in higher education or comparably complex organization.

Classification: Research Analyst Specialist Senior

Job Description

1. Data source/data product development (including database, data warehouse and data lake implementations) for use by the University community.

2. Management and statistical data analysis and reporting for key University stakeholders/consumers.

3.  Development, training, and support for processes and tools used by University community members who are data consumers.

4. Guidance and supervision of the work of colleagues both within the organization unit and across the University.

Minimum Qualifications

• Minimum of 5 years of current working experience in data analytics, business intelligence or institutional research, including hands-on data analysis experience in a medium or large data warehouse environment; building and maintaining SQL and/or Access queries and reports; performing quality checks and validations of data and reports; and developing and maintaining procedural documentation.

• Experience in database development, data management, data analysis and reporting, or similar activities.

• Experience and proficiency with SQL or other relational database languages.

• Experience and proficiency with object models/object-oriented programming (such as Python, Java, C#) and/or semantic models.

• Proficiency with using Microsoft Excel for data processing and analysis.

• Strong analytic and problem-solving skills, organizational skills, attention to detail, ability to manage projects to completion independently, ability to manage and complete multiple projects with strict deadlines.

• Effective written communication, oral communication, and interpersonal skills.

• Demonstrated commitment to fostering a diverse working and learning environment.

Preferred Qualification 

• Masters, Doctorate, or other terminal degree in in computer science, computer information technology, management information science, data science, data engineering, statistics, market research, or other field related to data analytics.

• Experience with PowerBI or a similar business intelligence tool.

• Experience with Microsoft Access or a similar relational database access tool.

• Experience with Workday or another similar application designed around business objects/object modeling.

• Demonstrated experience with quantitative and qualitative research methods, statistical modeling, and/or trend analysis.

• Experience in analytics work in higher education or comparably complex organization.

• Experience with project management.

• Experience in higher education or similarly large, complex organizations.

Other Requirements

Work safely at all times, which includes but is not limited to, participating and completing all required safety trainings, as well as performing all job tasks in accordance with Minnesota State University, Mankato policies and procedures utilizing appropriate tools, equipment and personal protective equipment.

The Minnesota State University, Mankato Annual Security and Fire Safety Report is available for your review. This report is required by federal law and contains policy statements and crime statistics for the University. The policy statements address the school’s policies, procedures and programs concerning safety and security. Three years’ worth of statistics are included for certain types of crimes that were reported to have occurred on-campus, or in other University affiliated locations. This report is available online at: http://www.mnsu.edu/safety/. You may also request a paper copy from University Security at 507-389-2111, or by emailing security@mnsu.edu.

Work Shift (Hours / Days of work)

Monday - Friday; 8:00 a.m. - 4:30 p.m.

Telework (Yes/No)

Yes, up to 95% of the time. Based on the essential functions of this positions, MMB Policy #1422, and University policies relating to flexible work, this position is eligible for the following work modes: Telework: A position with a work arrangement that allows an employee to perform work on a regular basis at a telework location that is not the employee's permanent/principal work location.

About

More than 1600 talented faculty, staff, and 1600 student employees with a wide variety of skills and backgrounds, support university operations every day. Our faculty and staff enjoy excellent benefits, a team environment and challenging careers. As an affirmative action/equal opportunity institution, we are committed to supporting the continued growth of our diverse community.

Destination 2030, the University’s strategic plan announced by President Edward Inch in August 2023, commits the University to making transformative strides in four main areas: being a lifelong provider of access to an equitable and affordable education; being a leader in transformational learning generating inspired action; being a nimble and innovative steward of resources; and being a community of care built upon diversity, inclusion, and belonging.

Benefits Information:

At Minnesota State, we have a GREAT BENEFITS PACKAGE! Our generous benefits include 11 paid Holidays, Vacation Time, Sick Time, six weeks of Paid Parental Leave, low cost medical and dental insurance with low deductibles ($250 - $1500), a Pension Plan, 457(b) and 403(b) retirement plans and other retirement investment options, pre-tax medical and dental expense (with roll-over option) and dependent care accounts, employer paid life insurance, short and long term disability, as well as professional development and a tuition waiver program for employees and their dependents, etc.  We promote the health and well-being of our employees and take work/life balance seriously.

Desired Start Date:

07-14-2025

Position End Date:

Open Date:

05-14-2025

Close Date:

05-22-2025

Posting Contact Name:

Lacie R Mitchell-Garza

Posting Contact Email:

kz6609rp@minnstate.edu