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Innovation & Analytics Assistant

Job in Baton Rouge, East Baton Rouge Parish, Louisiana, 70873, USA
Listing for: Louisiana State University
Full Time position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Performance Innovation & Analytics Assistant
## Performance Innovation & Analytics Assistant Apply locations:
0100 Football Operations Building time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
June 17, 2026 (3 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:

Performance Innovation & Analytics Assistant## Position Type:

Professional / Unclassified## Department:

LSUAM Athletics - Ops - Sports Performance (Jacob J Marucci ))##

Work Location:

0100 Football Operations Building## Pay Grade:

Professional##

Job Description:

The Performance Innovation & Analytics Assistant drives data-informed decision-making across LSU Athletics by connecting strategy, research, performance innovation, and sports science execution. This role designs and deploys scalable analytics products, web platforms, automated reporting pipelines, scouting tools, and athlete development dashboards that translate complex data into clear, actionable insights for executives, coaches, and high-performance staff. This role also enhances the relationship between LSU Research and LSU Athletics by being the liaison for all major athletics studies.

The position requires advanced technical capability, strong data acumen, and the judgment to operate in high-trust environments where speed, accuracy, and confidentiality are essential.
** 50%
** Produce weekly analytics-driven game-plan and opponent tendency reports to support coaching decisions and game-plan installation;
Create repeatable data pipelines and dashboards using tools such as Tableau, Excel/Power Query, SQL, personalized website dashboards, and modern data platforms to reduce manual reporting time and improve accuracy;
Develop sport-specific performance and scouting tools that integrate public, in-house, and tracking technology data into actionable workflows;
Operate and integrate advanced performance technologies (e.g., Sportable, Trackman, Kinexon, VR/eye-tracking systems) to support player development and preparation;
Design and deliver personalized, opponent-specific reports for coaches, analyst and players to strengthen scouting accuracy and competitive advantage;
Provide real-time, game-day analytics support through internally built applications and dashboards to inform lineup optimization and performance trends.
** 25%
** Develop and maintain secure data streams for research in LSU athletes;
Connect external data sources, such as medical data from EPIC, and deidentify incoming data to provide HIPAA compliant databases to researchers;
Produce distribute and ensure enforcement of standard operating procedures (SOPs) for data collection in athletes to provide consistency between strength and conditioning coaches and across teams;
Assist in data visualization and presentation to relevant key holders within LSU Athletics and the IHPC.
** 10%
** Build and maintain Men’s and Women’s Basketball analytics servers that centralize player development, game-day scouting, and transfer portal evaluations;
Develop football player grading systems and transfer portal evaluation tools, including production grading models used for decision support;
Create and distribute scouting reports for football and basketball that align analytics outputs with coaching and personnel priorities;
Support NIL strategy and roster construction by delivering analytics products used directly by leadership (e.g., GM/Head Coach) for decision-making;
Engineer secure, role-based access to analytics content and automate report distribution through server and web platform integrations.
** 10%
** Manage the DXA scan reporting workflow by transforming raw outputs into automated, coach- and dietitian-ready reports that support athlete nutrition and body composition decisions;
Administer data quality checks, standardization, and documentation to ensure consistent longitudinal tracking…
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