Business Intelligence (BI) Analyst I

The University of Maine System is seeking a motivated and detail-oriented Business Intelligence (BI) Analyst I to join our Enterprise Solutions team. This position plays a key role in supporting the development of data reporting tools and insights that guide strategic and operational decision-making across the system.

The BI Analyst will work closely with team members, IT professionals, and functional-area end-users to design, build, and maintain reports, dashboards, and visualizations that serve a variety of campus and system-level data needs. This position offers the opportunity to work in a dynamic, mission-driven environment committed to data-informed planning and decision support.

At the University of Maine System, you'll be part of a mission-driven team dedicated to supporting student success and institutional excellence through meaningful data insight. We offer a collaborative environment, opportunities for professional growth, and the chance to make an impact across Maine's public universities.

Full BI Analyst I job description

Salary and Benefits: The hiring range for this full-time, regular position is $55,000 to $65,000, commensurate with experience. For current UMS employees, the salary will also take into consideration existing pay for transfer or promotion. The University of Maine System offers a highly competitive benefits package that includes (but is not limited to):

• 13 paid holidays plus earned vacation and sick time
• Health, Dental, and Vision insurance
• Short-term disability insurance and employer-paid long-term disability insurance
• Employer-paid basic life insurance and supplemental life insurance
• Tuition waiver program for employees and their dependents (spouse, domestic partner, and dependent children)
• 403(b) retirement plan with employer contribution

To learn more, please review the Benefits Information Summary .

Work Schedule: Monday through Friday, 8:00 AM to 5:00 PM. Will consider a hybrid schedule for the right candidate.

Knowledge, Skills, and Abilities

• Strong attention to detail with a consistent commitment to data accuracy and integrity
• Ability to understand analytical questions, identify relevant data elements, and design visualizations that effectively communicate insights
• Intellectual curiosity and the ability to ask thoughtful follow-up questions based on initial inquiries and data exploration
• Excellent analytical, organizational, critical thinking, and quantitative reasoning skills
• Strong problem identification and problem-solving capabilities in a data-driven environment
• The ability to collaborate effectively across teams and workgroups to achieve shared outcomes
• Self-motivated, resourceful, and able to manage time and competing priorities
• Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical audiences
• Outstanding interpersonal and customer service skills, with a commitment to user-centered service delivery
• Willingness to adapt to evolving technologies, tools, and data environments
• Commitment to continuous improvement and staying current with trends in data analytics and reporting.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Statistics, Data Science, or related field, or an equivalent combination of education and experience
• Minimum of 2-3 years of progressive experience in business intelligence, data analytics, or a related field
• Demonstrated experience presenting data analyses through various mediums such as dashboards, visualizations, and reports
• Proficiency in SQL for data querying and manipulation, as well as a solid understanding of core database concepts
• Experience with data querying, aggregation, and working with large data sets

Preferred Qualifications:

• Experience using relational database management systems (RDBMS) such as Oracle or SQL Server for data analysis and reporting
• Familiarity with Microsoft BI, PeopleSoft PS Query, or similar reporting tools
• Experience working in a higher education environment and an understanding of higher education data, systems, and reporting needs.
• Knowledge of data governance, privacy standards, and best practices for handling institutional data

How To Apply:
Materials must be submitted via “Apply Now” below. You will need to complete an application and upload the following:

Important items to know about the recruitment process:

• Review of applications will begin immediately. For full consideration, materials must be submitted by May 15, 2025.
• Materials received after the initial review date will be reviewed at the discretion of the University.
• Incomplete application materials cannot be considered.
• Candidates selected to proceed to the final stages of the search process will be requested to provide three (3) names and contact information for references.
• The successful applicant is subject to appropriate background screenings.
• We are not able to consider applicants who require Visa sponsorship.

In complying with the letter and spirit of applicable laws and pursuing its own goals of diversity, the University of Maine System does not discriminate on the grounds of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity, or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability physical or mental, genetic information or veterans or military status in employment, education, and all other programs and activities. The University provides reasonable accommodations to qualified individuals with disabilities upon request. The following person has been designated to handle inquiries regarding non-discrimination policies: Director of Equal Opportunity, 5713 Chadbourne Hall, Room 412, University of Maine, Orono, ME 04469-5713, 207-581-1226. TTY 711 (Maine Relay System).