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Job Posting Title:
Senior Functional Data Analyst, Data to Insights Initiative
Office of the President
Position Open To:
Weekly Scheduled Hours:
Earliest Start Date:
Expected to Continue Until Dec 31, 2022
UT MAIN CAMPUS
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. We actively seek diversity of viewpoint and perception in our student, faculty, and staff recruiting and retention practices. 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 December 31, 2025.
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
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).
We are seeking a Senior Functional Data Analyst to join the D2I Functional team. This role will be responsible for vetting incoming charters and working with requesting areas and D2I teams to determine requirements, scope, and level of effort. They will lead the discovery and documentation of analytical requirements, data sources, field definitions, and business questions and will present that information to technical and analytical developers to facilitate the creation of robust reporting solutions. As a senior member of the D2I team, they will assist in managing the pipeline of data and analytics requests and coordinate with other team members to ensure collaboration and consistent forward progress.
- Support a variety of analytic 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
- Communicate complex concepts clearly to technical and non-technical staff
- Document, maintain and continuously improve the quality of the D2I processes and knowledge base
Bachelor’s degree and 2 years’ experience, or at least 6 years of professional experience in information technology or related field. Demonstrated proficiency in data analysis, and a passion for using data to answer questions and solve problems. History of working independently and in dynamic team environments. Solid ability to analyze and interpret data. Track record of identifying business issues and opportunities. Proven prioritization and organizational skills with the ability to handle multiple projects simultaneously. Ability to communicate effectively with a wide range of stakeholders to gather data requirements and produce appropriate analysis. Experience querying data to perform ad hoc analysis and deliver meaningful results. Strong attention to detail and an analytical mindset. Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts. Critical thinking and creative problem solving. Excellent interpersonal skills to positively contribute to collaborative team, influence without authority, and thoughtfully and productively give and receive feedback.
Relevant education and experience may be substituted as appropriate.
Experience in higher education administration, programming, or analysis. Interest in higher education data, processes, and progress. Broad and deep knowledge of UT software and data systems. Familiarity with UT Austin’s administrative computing environment – particularly core software such as *DEFINE or *NRRECS. Proficiency using software such as Python, R, SPSS, or SQL to query, manipulate and analyze data. General understanding of programming concepts and methodology. Knowledge of federal education law and policies related to education records. Experience with metadata management software. Experience using Agile methodologies.
$78,373 + depending on qualifications
- Typical office environment
- Repetitive use of a keyboard
- Occasional extended work hours or on-call obligation
- Location up to 100% remote at employee discretion with office work environment also an option. Majority of team is located in Austin, TX, and working remotely with infrequent in-office presence.
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: