Sr Associate Director Analytics

About the Opportunity

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 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:
Masters 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 Northeasterns 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

Key Responsibilities:
Data visualization and analysis (40%)

Visualize data create metrics and develop analytical models (predictive and prescriptive) to advance the universitys goals

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

Support Northeasterns D&A program (20%)

Support the design and implementation of the universitys analytics platform and data governance policies that will enable insights and data-driven decisions.

Coordinate and communicate with others throughout Northeastern to accomplish shared goals educate new analytics users and achieve cultural change.

Support ad hoc and ongoing requests for analysis (30%)

Report on ad hoc requests for data (particularly those with an analytical element) provide data for management assessment accreditation and other decision support needed productionalize ad hoc analysis into repeatable ongoing artifacts.

Develop analytics expertise and resources (10%)

Learn and support analytical tools such as Cognos Analytics SPSS Tableau Snowflake or other helpful software in the context of analytics at as an expert resource for other members of the UDS team and analysts across to related user group discussions and presentations.

Position Type

Additional Information

Northeastern University considers factors such as candidate work experience education and skills when extending an offer.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race religion color national origin age sex sexual orientation disability status or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

Expected Hiring Range:

With the pay range(s) shown above the starting salary will depend on several factors which may include your education experience location knowledge and expertise and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.