Sr. Decision Scientist – Marketing and Enrollment Management

Duties And Responsibilities

• Use predictive and prescriptive analytical techniques to enable leadership to make informed decisions
• Apply demonstrated knowledge of data modeling, business analysis, and statistical analysis to design and evaluate drivers of growth and efficiency
• Uses various data analytics tools to clean, manipulate, and transform data for analysis
• Support projects and work with university leaders to identify assumptions for analytical tools and models with the goal of using these tools to provide data driven solutions
• Communicate with data through written and oral presentations, using data visualization techniques to present findings in a manner that can be easily understood by nontechnical audiences
• Promote data stewardship and data quality

Qualifications

• Bachelor's degree or higher from an accredited institution in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field
• Three or more years of relevant experience, though education may be used along with experience
• Master's or Ph.D. from an accredited institution in a business analytics, statistics, economics, data science, or relevant quantitative or empirical research field strongly preferred
• Higher education experience is highly preferred
• Demonstrated knowledge and application of data analysis and statistical modeling, preferably in an academic or educational setting
• Proficiency in programming languages such as Python or R, or willingness to learn combined with knowledge of other code-based programming languages such as MatLab, Stata, etc.
• Understanding of database systems and data manipulation techniques
• Strong interpersonal and communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders
• Able to work collaboratively and effectively with academic and business leaders
• Strong problem-solving skills and a proactive approach to identifying opportunities for improvement
• Strong attention to detail, thoroughness, and follow through
• Able to work independently and meet deadlines
• Able to prioritize and manage multiple tasks

Pay

The hiring salary range for this position is $85,000.00 - $95,000.00.