Director of Strategic Analytics & Data Intelligence

Louisiana State University; Baton Rouge (LA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement options

Tuition exemption

Job summary

Louisiana State University seeks a Director of Strategic Analytics to lead analytics strategy within the Office of Data & Strategic Analytics. You will design analyses and dashboards that inform policy decisions by the Provost, Chancellor, and executive leadership.

The role combines hands-on programming with consultation, training, and cross-campus collaboration to ensure accurate, well-documented analytics products and governance across institutional data domains.

Qualifications

• Bachelor's degree required; seven years of progressively responsible experience in data analysis, institutional research, or BI.
• Proven experience in analytical programming and building dashboards in Tableau or similar tools.
• Ability to present findings to senior leaders and non-technical audiences.

Responsibilities

• Lead strategic analytics and decision support for the university in partnership with senior leadership.
• Design and conduct analyses using regression, forecasting, quasi-experimental evaluation, and scenario modeling.
• Write and maintain analytical code (SAS/SQL/Python/R) and build dashboards in Tableau; integrate AI tools as appropriate.

Skills

Analytical programming

SAS

SQL

Python

R

Education

Bachelor's degree in Statistics, analytics, data science, economics, education, public policy, or related field

Tools

Tableau

SAS

Job description

Louisiana State University seeks a Director of Strategic Analytics to lead analytics strategy within the Office of Data & Strategic Analytics. You will design analyses and dashboards that inform policy decisions by the Provost, Chancellor, and executive leadership.

The role combines hands-on programming with consultation, training, and cross-campus collaboration to ensure accurate, well-documented analytics products and governance across institutional data domains.