Data Systems Manager and Research Associate, Institute for Tourism and Recreation Research

The Institute for Tourism and Recreation Research (ITRR) invites applications for a Data Systems Manager and Research Associate to support data collection, management, analysis, and visualization efforts across multiple projects focused on tourism and recreation in Montana. This position is responsible for maintaining high-quality datasets, developing and supporting interactive dashboards and public-facing data tools, and collaborating with internal and external partners to ensure data is accurate, accessible, and actionable for research, planning, and public use.

• Manage, clean, validate, and maintain statewide datasets collected through tablets and other sources, ensuring data consistency, integrity, and long-term accessibility.
• Develop and maintain SQL queries, analytical scripts, and custom datasets to support reporting, dashboard development, economic modeling, and research projects.
• Create, update, and manage public-facing dashboards and data visualizations in Tableau and on the ITRR website using internal and external data sources.
• Conduct regular quality assurance reviews of dashboards, visitation counts, and data systems to ensure functionality, accuracy, and consistency.
• Perform statistical analyses, calculate weighted metrics, and contribute to research reporting and written summaries for diverse audiences.
• Collaborate with ITRR staff, University partners, and external stakeholders to gather requirements, improve data collection methodologies, and coordinate data-related initiatives.
• Support the State Parks visitation contract through data review, reporting, stakeholder communication, and recommendations for consistent counting practices.
• Research and recommend new data sources, tools, software, and frameworks that improve data collection, analysis, visualization, and long-term system sustainability.

• A Bachelor's degree in Computer Science, Mathematics, Data Management, Statistics, or a closely related quantitative field, or equivalent professional experience.
• Experience working with and processing large datasets with strong attention to detail and accuracy.
• Proficiency with analytical tools such as SPSS, R, Python, or similar statistical software.
• Experience with Business Intelligence (BI) and data visualization tools such as Tableau or similar platforms.
• Experience developing data for web-based interactive displays.
• Working knowledge of SQL and database querying.
• Strong problem-solving and critical-thinking skills.
• Excellent written and verbal communication skills.
• Familiarity with modern quantitative and qualitative research methods.
• Proficiency with Microsoft Office, particularly Excel.
• Strong organizational skills with exceptional attention to detail.
• Ability to manage multiple projects independently and meet deadlines.
• Ability to summarize and synthesize research results in a concise written format.

Preferred Qualifications

• Programming experience with PHP, Perl, Java, or similar languages.
• Experience with API development and testing (e.g., Postman).
• Familiarity with Cascade CMS or similar content management systems.
• Experience with Microsoft SQL Server Management Studio or Microsoft Access.
• Knowledge of ETL processes and data pipeline development.

Compensation Title: Statistician

Union: FOCUS-MFPE

Work Schedule: Part-time, 0.6 FTE (24 Hours a week), Monday through Friday 8:00 am to 5:00 pm, variable, 12 months/year

Probationary Period: Six (6) months minimum

Benefits Include : Insurance package, mandatory retirement plan, and wellness program.

Screening of applications will begin after the closing date; however, applications will continue to be accepted until an adequate applicant pool has been established. Complete applications received by the closing date will be guaranteed consideration.

A complete application includes:

1. Letter of Interest addressing your qualifications and experience related to the stated required skills for the position. A general letter salutation such as Dear Search Committee or Dear Hiring Manager is acceptable.
2. Detailed Resume listing education and describing work experience
3. Three (3) Professional References names and contact information

Must be eligible to work in the United States upon hire. Sponsorship is not available for this position.

The University of Montana is interested in receiving applications from people who would assist the University in demonstrating its five priorities for action : Place student success at the center of all we do; drive excellence and innovation in teaching, learning, and research; embody the principle of mission first, people always"; partner with place; and proudly tell the UM story.