The University of Maine System (UMS) is seeking a Business Intelligence (BI) Analyst I to join our Business Intelligence and Data Warehouse (BI & DW) team. The BI Analyst I will work closely with colleagues, campus and foundation personnel, and functional end-users to design, develop, and maintain reports, dashboards, and visualizations that support institutional reporting requirements and strategic decision-making. This position will collect, analyze, and interpret complex data sets to deliver actionable insights, improve operational efficiency, and strengthen institutional effectiveness. The Analyst will also contribute to data quality assurance, documentation, and reporting standards to ensure accuracy, consistency, and transparency. Collaboration is central to this role—engaging with stakeholders to understand needs, identify opportunities for automation, and advance a culture of continuous improvement.

Key Responsibilities

Develop and maintain data reports, dashboards, and visualizations for operational and strategic use.
Build interactive, secure dashboards that enable self-service data discovery.
Partner with stakeholders to gather requirements and ensure deliverables align with enterprise standards.
Validate the accuracy and reliability of reports using systematic methodologies and cross-checking multiple data sources.
Maintain clear documentation, including usage guides, definitions, and reporting standards.
Contribute to continuous improvement in data governance, reporting practices, and analytics capacity

Please review the Business Intelligence (BI) Analyst I job description for more information.

Salary: The salary range for this position is $60,000 to $65,000, commensurate with the candidate's training, education, and experience.

Benefits: 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 EST, with flexibility available as mutually agreed upon between the supervisor and employee.

This position is fully remote. Candidates must reside and be authorized to work in the United States. Please review the University Guidelines for Remote Work .

Qualifications
Required:

Bachelor’s degree in Computer Science, Information Systems, Statistics, Data Science, or a 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.
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 data-driven environments.
The ability to collaborate effectively across teams and workgroups to achieve shared outcomes.
Self-motivated, resourceful, and able to manage time and competing priorities independently.
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.

Preferred

• 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:

A cover letter that describes your experience, interests, and suitability for the position.

A resume/curriculum vitae.

Important items to know about the recruitment process:

Applications will be reviewed on an ongoing basis and will remain open until the position is filled.
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 contact information for references.
The successful applicant is subject to appropriate background screenings.
Candidates must be authorized to work and reside in the United States.
We are not able to consider applicants who require Visa sponsorship now or in the future.

EEO Statement

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).

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Business Intelligence (BI) Analyst I