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