Senior Data Warehouse & Analytics Lead

University of New Orleans; New Orleans (LA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plans

Generous leave and holidays

Job summary

LSU New Orleans seeks a Data Warehouse and Analytics Manager to lead institutional reporting, data warehouses, and data integration processes. You will ensure data accuracy, integrity, and accessibility for strategic planning, regulatory reporting, and accreditation.

The role requires supervising data reports, ETL systems, and collaboration with leadership on external reporting, with a focus on data-driven decision making across the university.

Qualifications

• Bachelor's degree and 2–3 years of experience in data management or reporting or equivalent combination.
• Demonstrated proficiency in SAS or SQL programming.
• Experience translating data into information for non-technical stakeholders.

Responsibilities

• Oversee the generation of data reports using SAS, SQL, Informatica, and Workday to support data-driven decision making.
• Lead development and maintenance of the OIERP Data Warehouse (including the student warehouse).
• Manage the ETL system for OIERP/LSU New Orleans ensuring accurate data flows between systems.
• Collaborate with AVP on programming and external reporting for state, federal agencies, and accreditation bodies.
• Evaluate data reports from analysts for quality and consistency.
• Supervise creation and enhancement of the data warehouse feeding the BI system.
• Perform additional duties as directed by the Assoc Vice President.

Education

Bachelor's degree

Tools

SAS

SQL

Informatica

Workday

Job description

LSU New Orleans seeks a Data Warehouse and Analytics Manager to lead institutional reporting, data warehouses, and data integration processes. You will ensure data accuracy, integrity, and accessibility for strategic planning, regulatory reporting, and accreditation.

The role requires supervising data reports, ETL systems, and collaboration with leadership on external reporting, with a focus on data-driven decision making across the university.