Institutional Research Analyst

The Institutional Research Analyst is detail-oriented and motivated academic staff role that supports Institutional Research and Institutional Effectiveness as a member of the Division of Academic Affairs. This position participates in collecting, analyzing, and presenting data to support institutional decision-making, strategic planning, and compliance reporting.

This analyst position reports to the Associate Provost and communicates frequently with deans, program directors and college Assessment Coordinators. This is a full‑time, non‑classified position that may require occasional evening and weekend hours. This summary is not intended to be a comprehensive or all‑inclusive description of duties and responsibilities.

• Bachelor's degree in Statistics, Data Analytics, Social Sciences, Computer Science, or a related field. LSUS values skills, experience and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply – a degree is not required if the candidate possesses applicable years of experience.
• Previous experience in data analysis, management, and reporting within a higher education setting or similar environment.
• Previous experience using statistical software (e.g., SPSS, R, Python) and data visualization tools (e.g., Power BI, Tableau).
• Demonstrated ability to manage competing priorities and communicate complex processes and results to diverse audiences.
• Excellent written communication, analytical, organizational skills.
• Proficient with Microsoft Office Suite.

• Experience in higher education assessment, accreditation, and compliance reporting.
• Familiarity with learning management systems and customer relationship management tools (e.g., Moodle, Element 451).
• Experience with survey tools (e.g., Qualtrics) and survey design.
• Ability to build collaborative relationships across academic and administrative units.

• Data Analysis and Interpretation:
  Basic skills in statistical analysis and data interpretation.
• Technical Proficiency:
  Familiarity with statistical software (e.g., SPSS, R, Python) and data visualization tools (e.g., Power BI, Tableau).
• Database Management:
  Basic experience in managing and analyzing data from various sources, including learning management systems and customer relationship management tools (e.g., Moodle, Element 451).
• Survey Development and Analysis:
  Familiarity with designing, administering, and analyzing surveys using tools like Qualtrics.
• Communication:
  Good written, oral, and visual communication skills, with the ability to present data and findings to technical and nontechnical audiences.
• Attention to Detail:
  Strong attention to detail, ensuring data accuracy and integrity in all tasks.
• Time Management:
  Good time management skills, with the ability to prioritize tasks and meet deadlines.
• Collaboration:
  
  Strong interpersonal skills and the ability to work collaboratively with diverse teams and stakeholders.
• Data Security:
  Knowledge and practice of high standards of data security and confidentiality.

• Communication:
  Ability to adjust communication style to suit the audience/customer/situation.
• Collaboration:
  
  Ability to work effectively in group settings.
• Service to Customer and LSUS:
  Ability to focus on providing positive experiences for stakeholders.
• Delivering Results:
  Ability to focus on achieving outcomes.
  • Problem‑Solving:
    Ability to overcome barriers to success.
  • Leading Others:
    Ability to inspire, guide, and support individuals and teams towards achieving common goals.

• Data Collection and Management:
  Assist in gathering, cleaning, and organizing data from various sources to support institutional research projects.
• Data Analysis:
  Perform basic statistical analyses on institutional data to identify trends, patterns, and insights.
• Report Preparation:
  Assist in preparing reports and visualizations for internal and external stakeholders, ensuring accuracy and clarity.
• Survey Administration:
  Support the design, administration, and analysis of surveys to collect data on student success, program outcomes, and institutional effectiveness.
• Database…