This position will serve as the Academic Data Analyst for the Pacific-Intermountain Network for Education in Semiconductors (PINES) award and efforts aligned with the National Network for Microelectronics Education (NNME) goals and reporting requirements. They will develop and maintain a comprehensive data reporting system to assess disparities, enrollment trends, retention trends, course progress, and other areas of data analysis as needed. The ideal candidate will be a skilled multitasker with proven experience in data analysis and coordinating collaborations across multiple institutions, government and non-profit organizations, companies, and other stakeholders.

This position will be in person with 1-2 days remote/hybrid schedule. This is a temporary position with an expected duration through July 2027. This position is not eligible for visa sponsorship.

The Microelectronics Education and Research Center (MERC) is the hub for microelectronics innovation, entrepreneurship, and workforce development in Idaho. Organized within Boise State’s College of Engineering, MERC centralizes and coordinates opportunities for all students in essential career preparation and unique research opportunities alongside expert faculty.

Several workforce development grants have become the signature programs for MERC coming from state, federal, and other funding sources. The goals of each is to bolster microelectronics career pathways for students across the region through K-12 outreach and recruiting, curriculum updates across the university and with other institutions, development of new experiential learning programs, and through external partnerships. The workforce development grants currently housed within MERC establish Boise State as a nationwide leader in semiconductor education and research, while significantly enhancing opportunities for the next generation of professionals entering the workforce.

Fully competent and productive professional contributor who applies acquired job skills, policies, and procedures to complete substantive assignments/projects/tasks of moderate scope and complexity. Works independently with general supervision; exercises judgment within defined guidelines and practices to determine appropriate action. May provide guidance and assistance to entry level professionals and/or support employees.

60% of Time the Academic Data Analyst performs:

Data Analysis and Reporting:

• Collaborate with internal and external stakeholders to understand and provide data reporting needs for the Pacific-Intermountain Network for Education in Semiconductors (PINES) award and efforts aligned with the National Network for Microelectronics Education (NNME) and related programs.
• Provide data-driven insights and recommendations to support decision-making processes regarding program enhancements, and resource allocation.
• Coordinate and manage systems to develop regular reporting packages at intervals throughout the academic year.
• Coordinate with Business Intelligence Reporting Services (BIRS) to remain updated on university data reporting methods, platforms and standards.
• Generate data analysis reports and communications for university and external stakeholders.
• Ensure the accuracy, completeness, and security of data and related documentation.
• Keep abreast of advancements in data analysis techniques, and relevant technology tools.
• Participate in professional development activities, attend conferences, and engage in continuous learning to enhance knowledge and skills.

30% of Time the Academic Data Analyst performs:

• Utilize data insights to work with key stakeholders to identify best practices that can translate from one program to another.
• Monitor program progress, identify potential issues, and develop appropriate solutions in collaboration with relevant stakeholders.
• Foster relationships with existing data reporting partners on campus and within the Pacific-Intermountain Network for Education in Semiconductors (PINES) region for best practices (including but not limited to: Enrollment Services Data team, Undergraduate Research and Mentoring Institute (URM Institute.).

10% of Time the Academic Data Analyst performs:

• Perform other duties as assigned.

• Strong quantitative/data analysis skills: ability to compile and organize data and analyze, interpret and represent data to communicate meaningful insights.
• Ability to translate data insights from student data to tell compelling story about the student journey from recruitment, retention, to graduation.
• Ability to work with disparate data repositories to identify and retrieve relevant data of interest to stakeholders.
• Excellent communication skills, both written and verbal, with the ability to present complex data in a clear and concise manner.
• Demonstrated ability to work collaboratively in a team environment and build effective relationships with a variety of stakeholders.
• Ability to work independently to solve problems and seek resolution.
• Ability to maintain a high level of accuracy, attention to detail in one’s work.
• Demonstrated record of adhering to ethical and legal standards.
• Strong organizational skills with the ability to prioritize multiple tasks.

Bachelor’s Degree and 2 years of professional experience or equivalent relevant experience.

Preferred Qualifications:

• A master’s degree in a relevant field or equivalent professional experience.
• Experience analyzing student data in a higher education context.
• Proficiency in JMP Statistical Analysis and Machine Learning Software and SPSS Statistical Package for the Social Science.

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