Job Summary:
The Senior Associate Director for Analytics plays a critical role within University Decision Support (UDS) by providing expertise, leadership, and support for analytics across Northeastern.  The Senior Associate Director will be responsible for identifying, creating, and executing analytics projects. They will assist in the development of analytic capacity and facilitate the increased use of timely, actionable data across Northeastern, using a variety of statistical models, data visualizations, and analytical tools.  The Senior Associate Director will help visualize key strategic metrics, goals, and predictive analytics to improve the financial condition of the university, advance student learning, support the global network, and increase research.  The Senior Associate Director will combine large quantities of data to perform trend analysis, predictive analytics, and data mining to provide actionable insights that inform strategic and tactical decisions and lead to improved results.

The Senior Associate Director will also collaborate with and leverage the work of the UDS team.  In particular, he or she will work with UDS team members to gather needed data, promote the use and interpretation of accurate information, and document methodologies.

Qualifications:
Master’s degree in statistics, operations research, mathematics, computer science, psychology, economics, education, sociology, or other statistical analysis and quantitative research discipline

• 5-10 years of applicable work experience in analytics, data science, business intelligence, institutional research, or related fields, preferably in higher education

• Experience developing innovations in data science, analytics, research, and associated methodologies and technologies

• Ability to think strategically about Northeastern’s academic plan, goals, issues and programs to be able to support these topics through clear and concise communication

• Ability to translate complex analytical findings into clear recommendations through data visualization and storytelling

• Excellent analytical skills with demonstrated ability to solve problems

• Experience with BI tools  (e.g., Cognos, Argos, Tableau, Excel)

• Experience in statistical modeling, machine learning, data analysis, and reporting

• Proficiency in Python or R

• Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines

• Advanced knowledge of relational databases and experience designing, maintaining and reporting from large databases and multiple tables, preferably Snowflake. Ability to query enterprise databases by programming complex queries using SQL.

• Advanced knowledge to perform statistical tests and create models (T-tests, ANOVA, regression models)

• Ability to visualize data into interactive tables and charts, preferably using Tableau

• Commitment to improving data quality and documentation

About Northeastern University

Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.     

Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our 14 campuses worldwide. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment.  

Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.