Data Warehouse Developer
Job in
New Orleans, Orleans Parish, Louisiana, 70123, USA
Listed on 2025-11-25
Listing for:
Louisiana State University
Full Time
position Listed on 2025-11-25
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing, Data Analyst, Database Administrator
Job Description & How to Apply Below
0202 Fred
C. Frey Computing Services Building time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
March 20, 2026 (30+ days left to apply) job requisition :
R##
**** All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).****##
** If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.**## Job Posting
Title:
Data Warehouse Developer 1## Position Type:
Professional / Unclassified## Department:
LSUAM FA - ITS - DA - PS - Business Intelligence (Anthony Joseph Alfonso ))##
Work Location:
0202 Fred
C. Frey Computing Services Building## Pay Grade:
Professional##
Job Description:
Data warehouse design, configuration, and support for mission-critical enterprise data warehouse and reporting. Familiar with and responsible for documenting concepts, practices, and procedures. Design, implement, test, and debug complex queries to extract, calculate, transform, and load data. Design, implement, and test data schemas. Relies on experience and judgment to plan and accomplish goals. Performs a variety of tasks. A certain degree of creativity and latitude is expected.
All Information Technology Services employees are expected to demonstrate a commitment to exemplary customer service in all facets of their work.
*
* Job Responsibilities:
** DATA WAREHOUSE DEVELOPMENT:
Work with IT personnel, central administrative staff, and end users to conduct data analysis and validation. Design, implement, test, debug complex queries to extract, calculate, transform, and load data to data warehouse. Follow programming design principles and best practices. Comply with software quality assurance standards, business goals, and project timelines in an agile delivery environment. Monitor release/upgrade notifications and validate related warehouse functionality.
Document and share changes with colleagues. (35%)DATA AND PROCESS DESIGN:
Work with IT data modelers, central administrative staff, and end users to design data warehouse data models, data sets, and data definitions for enterprise business intelligence (EBI) reporting and for use with data visualization technology solutions.(30%)DATA WAREHOUSE ADMINISTRATION / SYSTEM TECHNICAL SUPPORT:
Manage daily tickets and cyclical (release/upgrades) administration of data warehouse solutions in collaboration with other IT personnel, campus partners, and the campus community at large. Ensure the overall health of the technology platform. Reduce operational complexity. Design and implement system security. Perform capacity planning and management. Serve as escalation point for production and/or platform issues. Coordinate and communicate system-related events.
. (25%)Other duties as assigned. (10%)
*
* Minimum Qualifications:
** Bachelor’s degree with 1 year of professional work experience.*+LSU values skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply— a degree is not required as long as the candidate meets the required years of experience specified in the job description.
**
* Preferred Qualifications:
** Master’s degree in Business, Mathematics, Statistics, Engineering, Science, Management Information Systems, Computer Science, or related field.
Experience in the following:
* Data warehouse administration.
* ETL for business reporting needs.
* Data warehouse design, configuration, and support.
* Understanding of Relational databases.
* Understanding of SQL language.
** Examples of Work:
*** Assist with data warehouse administration tasks.
* Translates business questions and requirements into ETL (extraction, transformation, and load) and/or data warehouse processes, defining and capturing metadata and rules associated with ETL and/or data warehouse processes.
* Researches and understands source and target data structures, ETL and/or data warehouse processes, and products.
* Maps source…
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