Analyst - Senior Data Strategy

About the Role

Key Responsibilities

• Conducts advanced predictive analytics and forecasting from conception to implementation to inform decision-making on enrollment, student success, and resource allocation.
• Mentors other analysts on best practices in data modeling and visualization.
• Analyzes complex data sets using a combination of statistical, quantitative and qualitative methods.
• Extracts, manipulates, and interprets data using statistical software (e.g., SPSS, R) and SQL-based query applications (e.g., Cognos).
• Develops and implements dynamic models, including machine learning algorithms, to optimize student-centered outcomes.
• Creates clear and actionable visualizations and dashboards using tools such as Power BI or Tableau.
• Translates complex data analyses into actionable insights and delivers clear, concise communication tailored to non-technical audiences across multiple formats.
• Proactively engages with cross-functional stakeholders to define data needs and strategic priorities.
• Validates compliance reports and data submissions to maintain institutional accountability.
• Collaborates with Database Administrators (DBAs) to design, maintain, and enhance the college's reporting warehouse, ensuring data integrity, accessibility, and optimal performance for advanced analytics.
• Documents analytic protocols, methodologies and results to ensure transparency and replicability.
• Creates and revises institutional dashboards; retrieves data from institutional dashboards.
• Assists with validation of compliance reports and data submissions.
• Conducts ad hoc studies and contributes to the continuous improvement of data strategy efforts.
• Represents the Office of Institutional Research on institutional committees and task groups.
• Manages multiple priorities and high volumes of work.
• Performs other duties as needed.

Requirements

• Bachelor's degree, with coursework in statistics.
• Master's degree in data science, statistics, or related field strongly preferred.
• Minimum 3 years of experience in predictive analytics, forecasting, and data visualization modeling techniques, working with large data sets in a professional setting.
• Demonstrated ability to translate data insights into strategic recommendations.
• Ability to retrieve, analyze, and present data in meaningful formats (tables, charts, graphs) to various audiences.
• Proficiency in statistical software (e.g., SPSS, R), business intelligence tools (e.g., Cognos, Argos), data visualization platforms (e.g., Power BI, Tableau), and Microsoft Office products (Excel, PowerPoint, Access, Word).
• Excellent attention to detail, analytical, problem solving, and organizational skills.
• Strong verbal and written communication skills with the ability to explain complex analyses to non-technical stakeholders.
• Mastery of writing clear and concise documentation, summaries of methodologies, and descriptions of statistical results.
• Prior experience in higher education preferred.

Nice to Have

• Experience in higher education.

Qualifications

• Bachelor's degree in a relevant field
• Master's degree in data science, statistics, or related field (strongly preferred)

Benefits & Perks

• Competitive salary
• Opportunities for professional development
• Work environment that values equity and transparency