Senior Functional Data Analyst (Remote)

Job Posting Title:

Senior Functional Data Analyst (Remote)

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Hiring Department:

Data to Insights

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue Until Aug 31, 2026

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Location:

Texas

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Job Details:

General Notes

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university’s mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you’re the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin. Please note that this position is currently funded through August 31, 2026.

The University of Texas at Austin provides an outstanding benefits package to staff, including: 

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%) 
• Vision, dental, life, and disability insurance options 
• Paid vacation, sick leave, and holidays 
• Teachers Retirement System of Texas (a defined benefit retirement plan) 
• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b) 
• Flexible spending account options for medical and childcare expenses 
• Training and conference opportunities 
• Tuition assistance 
• Athletic ticket discounts 
• Access to UT Austin's libraries and museums 
• Free rides on all UT Shuttle and Capital Metro buses with staff ID card 

For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards 

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).

Purpose

We are seeking a Senior Functional Data Analyst to join the D2I Functional team. This role will be responsible for supporting analytics deliverable development with discovery and documentation of requirements, data sources, field definitions, and business questions; assisting with validation, researching, and resolution of data anomalies and exceptions; participating in user acceptance testing; and documenting business definitions and technical specifications in the data catalog. They will work with the Functional team and data stewards to document source metadata in the data catalog and will maintain robust curation processes and standards.  They will also collaborate with Analytics team members in the development of transformed data layers for campus staff to use for self-service analytics and provide excellent customer support to those staff.  As a senior member of the D2I team, they will coordinate with other team members to ensure collaboration and consistent forward progress.
 

Responsibilities

• Support a variety of analytical solutions by conducting complex data analysis and profiling; work with subject matter experts and other team members to document data definitions, business rules and other needed metadata.

• Work closely with Technical and Analytical teams to ensure data quality and validate developed reporting solutions.

• Coordinate data spoke provisioning, participate in the development of transformed data layers, and provide support to campus customers.

• Communicate complex concepts clearly to technical and non-technical staff, verbally and in writing.

• Document, maintain and continuously improve the quality of the D2I processes and knowledge base.

Required Qualifications

• Bachelor’s degree or at least 2 years of professional experience in information technology or related field.

• Demonstrate